Name: Machine Learning Course Using Python
Price: 25 GBP
Availability: InStock

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			<h2>Overview</h2>		</div>
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							<p><span>ChatGPT for Marketing and Productivity with AI Tools Course is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this ChatGPT for Marketing and Productivity with AI Tools Course and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills.</span></p><p><span>Consisting of several modules, the course teaches you everything you need to succeed in this profession.</span></p><p><span>The course can be studied part-time. You can become accredited within 05 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website.</span></p>						</div>
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			<h3><b>Why Choose Teachers Training</b></h3>		</div>
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			<p>Some of our website features are:</p>		</div>
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			<h3><b> Entry Requirements
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			<p>No formal entry requirements. You need to have:</p>		</div>
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										<span>A good understanding of the English language</span>
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										<span>Over the age of 16.</span>
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			<h3><b>Certification</b></h3>		</div>
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							<p><b>CPD Certification from The Teachers Training</b></p><p><span>After you have successfully completed your assignment, you will be qualified to apply for a CPD Certification from The Teachers Training. The PDF certificate can be downloaded after you have completed your course.</span></p><ul><li><p>You can get your digital certificate (PDF) for £4.99 only</p></li><li><p>Hard copy certificates are also available, and you can get one for only £10.99</p></li><li><p>You can get both PDF and Hard copy certificates for just £12.99!</p></li></ul><p><span>The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs.</span></p>						</div>
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							</div><table width="100%">				<tbody><tr>
					<td colspan="4">Section 01: The AI Marketing Playbook</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 01: Start an Account with ChatGPT</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 02: What the Company OpenAI Say About Itself</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Unit 03: What OpenAI Say About The Limitations of the Chatbot</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Unit 04: Chatbot Prompt Examples Given By Open AI</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Unit 05: Will Chat GPT Be a Paid Application</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
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					<td>Unit 06: Chat GPT Idea Generation</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
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					<td>Unit 07: Chat GPT - Idea Qualification and Accuracy</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
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					<td><i></i></td>
					<td>Unit 08: ChatGPT - Accuracy and Citations</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
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					<td><i></i></td>
					<td>Unit 09: Chat GPT - Creating HTML Instances</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
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					<td><i></i></td>
					<td>Unit 10: Chat GPT - How to Solve Specific Business Problems</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
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					<td>Unit 11: Chat GPT - Statistical Verification of Information</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
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					<td>Unit 12: Chat GPT - Rewrite Content for Different Contexts</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
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					<td>Unit 13: ChatGPT - Content Checked With AI</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
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					<td>Unit 14: ChatGPT - Simplifying Information</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
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					<td>Unit 15: ChatGPT - How to Ask the Chatbot about Context</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
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					<td>Unit 16: ChatGPT - How to Cross-Post Queries</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
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					<td>Unit 17: ChatGPT - How to Narrow Down the Context of Your Query</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
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					<td>Unit 18: ChatGPT - How to Solve a Business Process</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
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					<td>Unit 19: ChatGPT - Developing a Methodology From Experts</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
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					<td>Unit 20: The Future of ChatGPT</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
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					<td colspan="4">Section 02: How to Use ChatGPT and AI for Marketing</td>
				</tr>
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					<td><i></i></td>
					<td>Unit 01: Autonous AI Agents</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
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					<td>Unit 02: Connecting to Open AI</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
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					<td>Unit 03: Getting an OpenAI Key</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Unit 04: Agent GPT - Autonomous AI</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
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					<td>Unit 05: GoalGPT - Autonomous Agents</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
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					<td>Unit 06: Cognosis - Autonomous AI</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Unit 07: Aomni - Autonomous Agent</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Unit 08: Durable - Build a Website with AI</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Unit 09: Eightify Summaries</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Unit 10: Genei - Do Higher Quality Research with AI</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Unit 11: Ellicit - Do Higher Quality Research with AI</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Unit 12: Inciteful - Do Higher Quality Research with AI</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 13: SciteAI Determine the Credibility of Your Research</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 14: Eleven Labs - Voice Cloning</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 15: AgentGPT - Wrap Up and Return</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 16: Cognosys - Wrap Up and Return</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 17: Aomni - Wrap Up and Return</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 18: Goal GPT - Wrap Up and Return</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 19: Uploading Research Reports to Summarization Applications</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 20: Perspective on The Future of AI</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 03: Productivity with AI Tools</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 01: Meta Search Sites</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 02: SMMRY for Summarzing</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 03: ChatGPT Plugins Waitlist</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 04: Using Microsoft Bing Search</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 05: Using Google Bard</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 06: Microsoft Word Speech To Text</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 07: Transcribe Audio in Microsoft Word</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 08: Speechify</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 09: Exact Image Creation</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 10: AI Design Tools</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 11: Learn How to Prompt</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 12: Content Improvement</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 13: Idea Generation</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 14: Audio Enhancement with Adobe</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 15: Clean up Audio With Cleaanvoice</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 16: Notion-AI</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 17: Pictory</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 18: Lex</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 19: ChatPDF</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit 20: Conclusion and the Future of Generatie AI - Searchie</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
				</tbody></table>

The Teachers Training

Online Course Marketing

Online Course Creation

Generative AI

AI (Artificial Intelligence)

Google Digital Marketing

ChatGPT

ChatGPT for Marketing and Productivity with AI Tools

General Admission

<strong>This course focuses on the beginner-level concepts of cloud computing in two different arenas.

The first part is to explore the world of database technologies or DBaaS (Database as a Service) and the second part revolves around IaaS (Infrastructure as a Service) model.</strong>
        <p>Over the last couple of years, many business companies decided to use more and more cloud services as part of their digital transformation, and you already know data is the new gold.

Therefore, this course is predominantly divided into two important parts: database technologies and infrastructure as a service.

The first part is about databases technologies and, even more specifically, how such technologies are offered as cloud database services (DBaaS) by leading public cloud providers-Azure, AWS, and GCP. We will learn the technical concept, market use cases, advantages, and disadvantages of each database technology while following its evolution path.

The next part is about the IaaS model. The IaaS model provided by large cloud providers is helping companies transform their private IT infrastructure into a utility service.

As a first step, you will review the key terms in cloud computing to establish a clear understanding of the big picture, and then we will zoom in on the IaaS model. The look at building blocks, what are the typical use cases, advantages as well as disadvantages, pricing models, and more.

By the end of this course, you will be able to select the right database technology for a specific use case to dramatically affect any aspect of an application and learn about the IaaS model of cloud computing.

The resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Cloud-Computing-for-Beginners---Database-Technologies-and-Infrastructure-as-a-Service</p>
        <h2>What You Will Learn</h2><p>Look at batch and stream processing, operational and analytics data<br>Understand SQL, NoSQL, NewSQL technologies<br>DBaaS portfolio overview - Azure, AWS, GCP<br>Learn the four service models - SaaS, PaaS, IaaS, and FaaS<br>Microservice and cloud-native apps, and different types of clouds<br>Virtualization technologies - virtual machines and containers</p>
        <h2>Audience</h2><p>This course is designed for the software developers, IT professionals, product/project/marketing managers who wish to reduce the footprint of enterprise applications sitting in private data centers and leverage the capabilities in a public cloud environment. Solution architects, technical advisors, telecom experts, and security professionals can also get benefit from this course.<br><br>You don't need to have prior knowledge of cloud computing concepts.</p>
        <h2>Approach</h2><p>This is a hands-on course designed for beginner-level individuals in the field of cloud computing. There are two parts in the course; the first focuses on database technologies and the other on the infrastructure model.</p>
        <h2>Key Features</h2><p>Learn the technical concept, market use cases, advantages, and disadvantages of the DBaaS model * Learn the technical concept, market use cases, advantages, and disadvantages of the IaaS model * Review key terms in cloud computing to establish a clear understanding</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Cloud-Computing-for-Beginners---Database-Technologies-and-Infrastructure-as-a-Service</p>
        <h2>About the Author</h2><h3>Idan Gabrieli</h3><p>Idan Gabrieli has worked in various engineering positions in Israel's high-tech industry. Idan has gained extensive experience with hundreds of business companies, transforming their challenges and opportunities into practical use cases and leveraging cutting-edge technologies.

Idan's expertise spans multiple domains, including cloud computing, machine learning, data science, and electronics. Since 2014, Idan has created and published online courses on various topics worldwide. Idan is recognized as a high-rated instructor by leading educational providers.

Idan simplifies complex technology and provides high-quality educational content with specific learning objectives that are well-structured, combining various multimedia teaching options.</p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Data is Everywhere</p><p style='margin: 0'>This video provides an overview of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Our Learning Objectives</p><p style='margin: 0'>This video provides an extension and focus areas about this course in detail.</p></td></tr></tbody></table><br><h4>2. Basic Database Terminology</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>This video provides an overview of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. DBMS, Database Instance and Schema</p><p style='margin: 0'>This video explains the DBMS (Database management System), database instance and schema.</p></td></tr><tr><td style='padding: 15px;'><p>3. Operational Data and OLTP</p><p style='margin: 0'>This video explains operational data and OLTP (Online Transaction Processing).</p></td></tr><tr><td style='padding: 15px;'><p>4. Analytics Data and OLAP</p><p style='margin: 0'>This video explains analytics and OLAP (Online Analytical Processing).</p></td></tr><tr><td style='padding: 15px;'><p>5. Data Warehouse and Data Lake</p><p style='margin: 0'>This video explains about the data warehouse and data lake.</p></td></tr><tr><td style='padding: 15px;'><p>6. ETL and ELT</p><p style='margin: 0'>This video explains ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform).</p></td></tr><tr><td style='padding: 15px;'><p>7. Batch and Stream Processing</p><p style='margin: 0'>This video explains the batch and stream processing.</p></td></tr><tr><td style='padding: 15px;'><p>8. Scaling Up and Out</p><p style='margin: 0'>This video explains about scaling up and out.</p></td></tr></tbody></table><br><h4>3. Database Technologies - What, Where, and Why?</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>This video provides an overview of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Traditional Relational Database (SQL)</p><p style='margin: 0'>This video focuses on a traditional relational database.</p></td></tr><tr><td style='padding: 15px;'><p>3. Non-relational Database (NoSQL)</p><p style='margin: 0'>This video explains about the non-relational database.</p></td></tr><tr><td style='padding: 15px;'><p>4. Distributed SQL Database (NewSQL)</p><p style='margin: 0'>This video helps to understand about the distributed SQL database.</p></td></tr><tr><td style='padding: 15px;'><p>5. In-memory Database (IMDB)</p><p style='margin: 0'>This video talks about in-memory database.</p></td></tr><tr><td style='padding: 15px;'><p>6. Time Series Database (TSDB)</p><p style='margin: 0'>This video helps you understand the time series database.</p></td></tr></tbody></table><br><h4>4. Types of NoSQL Databases</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>This video provides an overview of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. #1 - Key-value Database</p><p style='margin: 0'>This video demonstrates the key-value database.</p></td></tr><tr><td style='padding: 15px;'><p>3. #2 - Document Database</p><p style='margin: 0'>This video talks about the document database.</p></td></tr><tr><td style='padding: 15px;'><p>4. #3 - Wide Column Database</p><p style='margin: 0'>This video talks about the wide column database.</p></td></tr><tr><td style='padding: 15px;'><p>5. #4 - Graph Database</p><p style='margin: 0'>This video talks about the graph database.</p></td></tr><tr><td style='padding: 15px;'><p>6. Databases Ranking Review</p><p style='margin: 0'>This video explains the databases ranking review.</p></td></tr></tbody></table><br><h4>5. Database as a Service (DBaaS)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Overview</p><p style='margin: 0'>This video provides an overview of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. The Challenges of Traditional Databases</p><p style='margin: 0'>This video demonstrates the challenges of traditional databases.</p></td></tr><tr><td style='padding: 15px;'><p>3. The Concept of DBaaS</p><p style='margin: 0'>This video explains the concept of DBaaS.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Advantages of DBaaS</p><p style='margin: 0'>This video shows the advantages of DBaaS.</p></td></tr><tr><td style='padding: 15px;'><p>5. Azure - DBaaS Portfolio Review</p><p style='margin: 0'>This video shows the DBaaS portfolio review of Azure platform.</p></td></tr><tr><td style='padding: 15px;'><p>6. AWS - DBaaS Portfolio Review</p><p style='margin: 0'>This video shows the DBaaS portfolio review of AWS platform.</p></td></tr><tr><td style='padding: 15px;'><p>7. GCP - DBaaS Portfolio Review</p><p style='margin: 0'>This video shows the DBaaS portfolio review of GCP platform.</p></td></tr></tbody></table><br><h4>6. Summary</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Quick Recap and Thank You!</p><p style='margin: 0'>This video helps with the recap of the concepts learned so far.</p></td></tr></tbody></table><br><h4>7. Getting Started</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome</p><p style='margin: 0'>This video provides an introduction to this part.</p></td></tr><tr><td style='padding: 15px;'><p>2. Our Learning Objectives</p><p style='margin: 0'>This video provides an extension and focus areas about this course in detail.</p></td></tr></tbody></table><br><h4>8. Cloud Computing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome to the World of Cloud Computing</p><p style='margin: 0'>This video provides an introduction to the cloud computing concepts.</p></td></tr><tr><td style='padding: 15px;'><p>2. Private vs Public</p><p style='margin: 0'>This video explains the difference between private and public cloud computing.</p></td></tr><tr><td style='padding: 15px;'><p>3. Hybrid-cloud and Multi-cloud</p><p style='margin: 0'>This video explains the hybrid-cloud and multi-cloud.</p></td></tr><tr><td style='padding: 15px;'><p>4. Hyperscale Cloud Service Providers</p><p style='margin: 0'>This video explains the hyperscale cloud service providers.</p></td></tr><tr><td style='padding: 15px;'><p>5. Cloud Service Models</p><p style='margin: 0'>This video explains the cloud service models.</p></td></tr><tr><td style='padding: 15px;'><p>6. SaaS - Software as a Service</p><p style='margin: 0'>This video talks about SaaS - Software as a Service.</p></td></tr><tr><td style='padding: 15px;'><p>7. IaaS - Infrastructure as a Service</p><p style='margin: 0'>This video talks about IaaS - Infrastructure as a Service.</p></td></tr><tr><td style='padding: 15px;'><p>8. PaaS - Platform as a Service</p><p style='margin: 0'>This video talks about PaaS - Platform as a Service.</p></td></tr><tr><td style='padding: 15px;'><p>9. FaaS - Function as a Service</p><p style='margin: 0'>This video talks about FaaS - Function as a Service.</p></td></tr><tr><td style='padding: 15px;'><p>10. Demo - AWS, Azure, GCP</p><p style='margin: 0'>This video provides demo on the various cloud service provides - AWS, Azure, and GCP.</p></td></tr></tbody></table><br><h4>9. Virtualization Technologies</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video provides an introduction to the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Underutilized Physical Servers</p><p style='margin: 0'>This video talks about underutilized physical servers.</p></td></tr><tr><td style='padding: 15px;'><p>3. Virtualization with Virtual Machines</p><p style='margin: 0'>This video demonstrates how to do virtualization with virtual machines.</p></td></tr><tr><td style='padding: 15px;'><p>4. Vertical and Horizontal Scaling</p><p style='margin: 0'>This video explains the vertical and horizontal scaling.</p></td></tr><tr><td style='padding: 15px;'><p>5. Microservices and Cloud-Native Apps</p><p style='margin: 0'>This video focuses on microservices and cloud-native apps.</p></td></tr><tr><td style='padding: 15px;'><p>6. Virtualization with Containers</p><p style='margin: 0'>This video demonstrates how to do virtualization with containers.</p></td></tr><tr><td style='padding: 15px;'><p>7. The Benefits of Containers</p><p style='margin: 0'>This video demonstrates the benefits of containers.</p></td></tr></tbody></table><br><h4>10. Introduction to Infrastructure as a Service (IaaS)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction and Overview</p><p style='margin: 0'>This video provides an overview and introduction to the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. IaaS - Transform IT to Utility</p><p style='margin: 0'>This video explains how to transform IT to utility in IaaS.</p></td></tr><tr><td style='padding: 15px;'><p>3. Compute, Storage and Networking</p><p style='margin: 0'>This video focuses on compute, storage and networking.</p></td></tr><tr><td style='padding: 15px;'><p>4. Demo - IaaS Solution with Microsoft Azure</p><p style='margin: 0'>This video provides a demo on IaaS solution with Microsoft Azure.</p></td></tr><tr><td style='padding: 15px;'><p>5. Pricing Models</p><p style='margin: 0'>This video talks about the pricing models in Microsoft Azure.</p></td></tr><tr><td style='padding: 15px;'><p>6. Main Advantages</p><p style='margin: 0'>This video focuses on the advantages of IaaS.</p></td></tr><tr><td style='padding: 15px;'><p>7. Disadvantages</p><p style='margin: 0'>This video tells the disadvantages of IaaS.</p></td></tr><tr><td style='padding: 15px;'><p>8. Typical Market Use Cases</p><p style='margin: 0'>This video explains the typical market use cases.</p></td></tr></tbody></table><br><h4>11. Course Summary</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Let's Recap and Thank You!</p><p style='margin: 0'>This video helps with a recap of the concepts learned so far.</p></td></tr></tbody></table>

Packt

Cloud Computing

This course focuses on the beginner-level concepts of cloud computing in two different arenas.

The first part is to explore the world of database technologies or DBaaS (Database as a Service) and the second part revolves around IaaS (Infrastructure as a Service) model.

Cloud Computing for Beginners - Database Technologies and Infrastructure as a Service

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			<h2>Overview</h2>		</div>
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							<p><span>Statistical Concepts and Application with R Course is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Statistical Concepts and Application with R Course and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills.</span></p><p><span>Consisting of several modules, the course teaches you everything you need to succeed in this profession.</span></p><p><span>The course can be studied part-time. You can become accredited within 05 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website.</span></p>						</div>
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			<h3><b>Why Choose Teachers Training</b></h3>		</div>
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			<p>Some of our website features are:</p>		</div>
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										<span>100% online </span>
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			<h3><b> Entry Requirements
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			<p>No formal entry requirements. You need to have:</p>		</div>
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										<span>A good understanding of the English language</span>
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										<span>Be motivated and hard-working</span>
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										<span>Over the age of 16.</span>
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			<h3><b>Certification</b></h3>		</div>
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							<p><b>CPD Certification from The Teachers Training</b></p><p>Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish.</p><ul><li>You can get your digital certificate (PDF) for £4.99 only</li><li>Hard copy certificates are also available, and you can get one for only £10.99</li><li>You can get both PDF and Hard copy certificates for just £12.99!</li></ul><p>The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs.</p>						</div>
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					<td colspan="4">Introduction to the course</td>
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					<td>Introduction</td>
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					<td><span><i></i> 00:03:00</span></td>
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					<td colspan="4">Single Linear Regression</td>
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					<td>Install R, RStudio and Basic Functionality</td>
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					<td><span><i></i> 00:08:00</span></td>
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					<td>Basics of Linear Regression</td>
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					<td>Basics of Linear Regression Ctnd</td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td><span><i></i> 00:09:00</span></td>
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					<td><span><i></i> 00:10:00</span></td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td><span><i></i> 00:06:00</span></td>
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					<td colspan="4">Multiple Linear Regression</td>
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					<td><span><i></i> 00:06:00</span></td>
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					<td>Importing the data</td>
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					<td><span><i></i> 00:04:00</span></td>
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					<td>Correlation Matrix and MLR</td>
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					<td><span><i></i> 00:08:00</span></td>
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					<td>MLR Results and ANOVA</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td>The Best Model?</td>
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					<td>Interaction Terms and Validity Testing</td>
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					<td><span><i></i> 00:18:00</span></td>
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					<td><span><i></i> 00:18:00</span></td>
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					<td colspan="4">Non-linear Regression</td>
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					<td>Non-linear Regression (and Recap)</td>
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					<td><span><i></i> 00:07:00</span></td>
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					<td>Logistic Regression Overview</td>
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					<td><span><i></i> 00:22:00</span></td>
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					<td>Logistic Regression: Odds, Logs and Poisson</td>
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					<td><span><i></i> 00:13:00</span></td>
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					<td>Logistic Regression: Fitting the Models in R</td>
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					<td><span><i></i> 00:24:00</span></td>
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					<td colspan="4">Optimization Theory and Differential Calculus</td>
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					<td>Differential Calculus - Finding the Maximum and the Minimum</td>
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					<td><span><i></i> 00:15:00</span></td>
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					<td>Differential Calculus: One Unknown Input</td>
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					<td><span><i></i> 00:08:00</span></td>
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					<td>Analysis in R: One Unknown Input Differential Calculus</td>
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					<td><span><i></i> 00:29:00</span></td>
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					<td>Differential Calculus - Two Unknown Inputs</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
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					<td>Analysis in R: Two Unknown Inputs Differential Calculus</td>
					<td> </td>
					<td><span><i></i> 00:44:00</span></td>
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					<td colspan="4">Downloadable Resources</td>
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					<td>Resource - Statistical Concepts and Application with R</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table>

Statistical Computing

Trainers Course

Teaching Online

Teaching & Training

Statistical Concepts and Application with R

<p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 18px; box-sizing: border-box;" fr-original-style="font-size: 18px;">Business Intelligence Analyst Course </span></strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Did you know that businesses harnessing the power of Business Intelligence (BI) in the UK alone are 23% more likely to outperform their competition? In today&rsquo;s data-driven world, the key to success lies in making informed decisions, and that&rsquo;s where our Business Intelligence Analyst Course comes in!</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">This course will help you master reporting, analytics, data mining, benchmarking, and complex event processing, enabling you to make data-driven decisions that can transform your business. As a business owner or aspiring business analyst, you&rsquo;ll gain the ability to implement BI strategies that drive success for large companies in this Business Intelligence Analyst Course course. Plus, you will become a pro at choosing the exemplary RTBI architecture to achieve the best results in various sectors. As you move deeper into the Business Intelligence Analyst Course course, you will gain insights into business statistics, data science, and different analytics types to give you a well-rounded skill set.&nbsp;</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">SQL expertise is a must-have for data management, and our course ensures you&rsquo;re not just familiar with it but a true SQL wizard, versed in different data types. Furthermore, this Business Intelligence Analyst Course will teach you the essentials of database management and help you grasp data warehouse concepts to effectively manage your organization&rsquo;s data. Before the end, the course will provide you with in-depth knowledge of data visualization in business intelligence and the basics of Python programming to enhance your ability to convey critical information and perform advanced data analysis.</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Make a smart choice for your future. Eneol in our Business Intelligence Analyst Course to excel in the business field.</span></p><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span data-sheets-root="1" data-sheets-value='{"1":2,"2":"Business Intelligence Analyst Course"}' data-sheets-userformat='{"2":4226,"4":{"1":2,"2":65280},"10":2,"15":"Arial"}' style="font-size: 18px; box-sizing: border-box;" fr-original-style="font-size: 18px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Business Intelligence Analyst Course Curriculum&nbsp;</strong></span><span style="font-size: 18px; box-sizing: border-box;" fr-original-style="font-size: 18px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></span></p><ul fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Module-1: An Introduction to Business Intelligence</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Module-2: Real-time Business Intelligence</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Module-3: Fundamentals of Statistics and Data Science</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Module-4: Fundamentals of SQL</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Module-5: Database Management Essentials</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Module-6: Data Warehouse Concepts</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Module-7: Data Visualisation in Business Intelligence</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Module-8: Basics of Python</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 18px; box-sizing: border-box;" fr-original-style="font-size: 18px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Why Choose Teachers Training</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Some of our website features are:</span></p><ul fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">This is a dedicated website for teaching</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">24/7 tutor support</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Interactive Content</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Affordable price</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Courses accredited by the UK&#39;s top awarding bodies</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">100% online</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Flexible deadline</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 18px; box-sizing: border-box;" fr-original-style="font-size: 18px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Entry Requirements</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">No formal entry requirements. You need to have:</span></p><ul fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Passion for learning</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">A good understanding of the English language</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Be motivated and hard-working</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Over the age of 16.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 18px; box-sizing: border-box;" fr-original-style="font-size: 18px;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certification</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">CPD Certification from The Teachers Training</span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish.</span></p><ul fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">You can get your digital certificate (PDF) for &pound;4.99 only</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Hard copy certificates are also available, and you can get one for only &pound;10.99</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">You can get both PDF and Hard copy certificates for just &pound;12.99!</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs.</span></p>

Unlock the power of data-driven decision-making with our Business Intelligence Analyst Course. Gain essential skills in data analysis, visualization, and interpretation to extract valuable insights for business growth. Whether you're a seasoned professional or new to the field, this course provides comprehensive training in business intelligence tools and techniques. Enroll now and become proficient in transforming raw data into actionable intelligence, empowering organizations to make informed strategic decisions.

Business Intelligence Analyst Course

<h3><strong>Overview</strong></h3>
This comprehensive course on <strong>Python for Data Analysis</strong> will deepen your understanding on this topic.

After successful completion of this course you can acquire the required skills in this sector. This <strong>Python for Data Analysis</strong> comes with accredited certification, which will enhance your CV and make you worthy in the job market.

So enrol in this course today to fast track your career ladder.
<h3><strong>How will I get my certificate?</strong></h3>
You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.
<h3><strong>Who is this course for?</strong></h3>
There is no experience or previous qualifications required for enrolment on this <strong>Python for Data Analysis</strong>. It is available to all students, of all academic backgrounds.
<h3><strong>Requirements</strong></h3>
Our <strong>Python for Data Analysis</strong> is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.

There is no time limit for completing this course, it can be studied in your own time at your own pace.
<h3><strong>Career path</strong></h3>
Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business &amp; Management, Admin, Accountancy &amp; Finance, Secretarial &amp; PA, Teaching &amp; Mentoring etc. <h3>Course Curriculum</h3><div><p>19 sections • 99 lectures • 00:08:00 total length</p></div><div><div><div><div><div><div><div><p>•Welcome &amp; Course Overview: 00:07:00</p></div><div><div><p>•Set-up the Environment for the Course (lecture 1): 00:09:00</p></div><div><div><p>•Set-up the Environment for the Course (lecture 2): 00:25:00</p></div><div><div><p>•Two other options to setup environment: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Python data types Part 1: 00:21:00</p></div><div><div><p>•Python Data Types Part 2: 00:15:00</p></div><div><div><p>•Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00</p></div><div><div><p>•Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00</p></div><div><div><p>•Python Essentials Exercises Overview: 00:02:00</p></div><div><div><p>•Python Essentials Exercises Solutions: 00:22:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•What is Numpy? A brief introduction and installation instructions.: 00:03:00</p></div><div><div><p>•NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00</p></div><div><div><p>•NumPy Essentials - Indexing, slicing, broadcasting &amp; boolean masking: 00:26:00</p></div><div><div><p>•NumPy Essentials - Arithmetic Operations &amp; Universal Functions: 00:07:00</p></div><div><div><p>•NumPy Essentials Exercises Overview: 00:02:00</p></div><div><div><p>•NumPy Essentials Exercises Solutions: 00:25:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•What is pandas? A brief introduction and installation instructions.: 00:02:00</p></div><div><div><p>•Pandas Introduction: 00:02:00</p></div><div><div><p>•Pandas Essentials - Pandas Data Structures - Series: 00:20:00</p></div><div><div><p>•Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00</p></div><div><div><p>•Pandas Essentials - Handling Missing Data: 00:12:00</p></div><div><div><p>•Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00</p></div><div><div><p>•Pandas Essentials - Groupby: 00:10:00</p></div><div><div><p>•Pandas Essentials - Useful Methods and Operations: 00:26:00</p></div><div><div><p>•Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00</p></div><div><div><p>•Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00</p></div><div><div><p>•Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00</p></div><div><div><p>•Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Matplotlib Essentials (Part 1) - Basic Plotting &amp; Object Oriented Approach: 00:13:00</p></div><div><div><p>•Matplotlib Essentials (Part 2) - Basic Plotting &amp; Object Oriented Approach: 00:22:00</p></div><div><div><p>•Matplotlib Essentials (Part 3) - Basic Plotting &amp; Object Oriented Approach: 00:22:00</p></div><div><div><p>•Matplotlib Essentials - Exercises Overview: 00:06:00</p></div><div><div><p>•Matplotlib Essentials - Exercises Solutions: 00:21:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Seaborn - Introduction &amp; Installation: 00:04:00</p></div><div><div><p>•Seaborn - Distribution Plots: 00:25:00</p></div><div><div><p>•Seaborn - Categorical Plots (Part 1): 00:21:00</p></div><div><div><p>•Seaborn - Categorical Plots (Part 2): 00:16:00</p></div><div><div><p>•Seborn-Axis Grids: 00:25:00</p></div><div><div><p>•Seaborn - Matrix Plots: 00:13:00</p></div><div><div><p>•Seaborn - Regression Plots: 00:11:00</p></div><div><div><p>•Seaborn - Controlling Figure Aesthetics: 00:10:00</p></div><div><div><p>•Seaborn - Exercises Overview: 00:04:00</p></div><div><div><p>•Seaborn - Exercise Solutions: 00:19:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Pandas Built-in Data Visualization: 00:34:00</p></div><div><div><p>•Pandas Data Visualization Exercises Overview: 00:03:00</p></div><div><div><p>•Panda Data Visualization Exercises Solutions: 00:13:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Plotly &amp; Cufflinks - Interactive &amp; Geographical Plotting (Part 1): 00:19:00</p></div><div><div><p>•Plotly &amp; Cufflinks - Interactive &amp; Geographical Plotting (Part 2): 00:14:00</p></div><div><div><p>•Plotly &amp; Cufflinks - Interactive &amp; Geographical Plotting Exercises (Overview): 00:11:00</p></div><div><div><p>•Plotly &amp; Cufflinks - Interactive &amp; Geographical Plotting Exercises (Solutions): 00:37:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00</p></div><div><div><p>•Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00</p></div><div><div><p>•Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00</p></div><div><div><p>•Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00</p></div><div><div><p>•Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to ML - What, Why and Types..: 00:15:00</p></div><div><div><p>•Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00</p></div><div><div><p>•scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00</p></div><div><div><p>•scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00</p></div><div><div><p>•Good to know! How to save and load your trained Machine Learning Model!: 00:01:00</p></div><div><div><p>•scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00</p></div><div><div><p>•scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00</p></div><div><div><p>•scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00</p></div><div><div><p>•scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00</p></div><div><div><p>•scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00</p></div><div><div><p>•scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00</p></div><div><div><p>•scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00</p></div><div><div><p>•scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00</p></div><div><div><p>•scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00</p></div><div><div><p>•scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: D-Tree &amp; Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00</p></div><div><div><p>•scikit-learn - Decision Tree and Random Forests - Hands-on  (Part 1): 00:19:00</p></div><div><div><p>•scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00</p></div><div><div><p>•scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00</p></div><div><div><p>•scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00</p></div><div><div><p>•scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00</p></div><div><div><p>•scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00</p></div><div><div><p>•scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: K Means Clustering, Elbow method ..: 00:11:00</p></div><div><div><p>•scikit-learn - K Means Clustering - Hands-on: 00:23:00</p></div><div><div><p>•scikit-learn - K Means Clustering (Project Overview): 00:07:00</p></div><div><div><p>•scikit-learn - K Means Clustering (Project Solutions): 00:22:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: Principal Component Analysis (PCA): 00:09:00</p></div><div><div><p>•scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00</p></div><div><div><p>•scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00</p></div><div><div><p>•scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Theory: Recommender Systems their Types and Importance: 00:06:00</p></div><div><div><p>•Python for Recommender Systems - Hands-on (Part 1): 00:18:00</p></div><div><div><p>•Python for Recommender Systems - - Hands-on (Part 2): 00:19:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Natural Language Processing (NLP) - (Theory Lecture): 00:13:00</p></div><div><div><p>•NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00</p></div><div><div><p>•NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00</p></div><div><div><p>•NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00</p></div><div><div><p>•NLTK - BoW, TF-IDF, Machine Learning, Training &amp; Evaluation, Naive Bayes : 00:13:00</p></div><div><div><p>•NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Resources- Python for Data Analysis: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Apex Learning

Data Science

Data Analysis

Data Analyst

Python for Data Analysis

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			<h4><b>Do you want to acquire the knowledge that will Help you Understand &amp; Cope with your Asperger's Child? </b></h4>
<p><span>Asperger's syndrome is a developmental disorder that affects a child's ability to socialise and communicate effectively with others. Children with Asperger's syndrome typically present social awkwardness and an all-absorbing interest in specific topics. </span><span>This course is designed for people who are caregivers for autistic individuals (Parents and Educators). This course aims to help you comprehend the world of</span><span> Asperger's syndrome</span><span>, spot the signs and symptoms of the syndrome spectrum so that you can help someone living with such a condition to live a richer life.</span></p>
<h3><b>Course Highlights</b></h3>
<h1>Asperger Syndrome Awareness</h1>
<p><span> is an award winning and the best selling</span><span> course that has been given the CPD Certification &amp; IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector.</span></p>
<p><span>It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Asperger Syndrome Awareness into </span><span><b>6</b> </span><span>modules for teaching you everything you need to become successful in this profession.</span></p>
<p><span>To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just </span><b>3 hours, 17 minutes</b><span> and it is also possible to study at your own pace.</span></p>
<p><span>We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email.</span></p>
<p><span>For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website.</span></p>
<h3><b>Why You Should Choose</b><b> Asperger Syndrome Awareness</b></h3>
<ul>
<li><span>Lifetime access to the course</span></li>
<li><span>No hidden fees or exam charges</span></li>
<li><span>CPD Accredited certification on successful completion</span></li>
<li><span>Full Tutor support on weekdays (Monday - Friday)</span></li>
<li><span>Efficient exam system, assessment and instant results</span></li>
<li><span>Download Printable PDF certificate immediately after completion</span></li>
<li><span>Obtain the original print copy of your certificate, dispatch the next working day for as little as £9.</span></li>
<li><span>Improve your chance of gaining professional skills and better earning potential.</span></li>
</ul>
<h3><b>Who is this Course for?</b></h3>
<p><b>Asperger Syndrome Awareness </b><span>is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills.</span></p>
<p><span>As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds.</span></p>
<h3><b>Requirements</b></h3>
<p><span>Our</span><b> Asperger Syndrome Awareness</b><span> is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.</span></p>
<h3><b>Career Path</b></h3>
<p><span>You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. </span></p><table>				<tbody><tr>
					<td colspan="4">Foundations of Artificial Intelligence</td>
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					<td>Module 01: Introduction to Artificial Intelligence</td>
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					<td><span><i></i> 00:21:00</span></td>
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					<td>Module 02: Mathematics for AI</td>
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					<td>Module 03: Knowledge Representation in AI - Part 1</td>
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					<td><span><i></i> 00:18:00</span></td>
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					<td>Module 04: Knowledge Representation in AI - Part 2</td>
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					<td><span><i></i> 00:16:00</span></td>
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					<td>Module 05: Machine Learning - Part 1</td>
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					<td><span><i></i> 00:16:00</span></td>
				</tr>
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					<td><i></i></td>
					<td>Module 06: Machine Learning - Part 2</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 07: Deep Learning</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 08: Natural Language Processing</td>
					<td> </td>
					<td><span><i></i> 00:22:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 09: Computer Vision</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 10: Robotics</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 11: Building AI Applications</td>
					<td> </td>
					<td><span><i></i> 00:24:00</span></td>
				</tr>
				</tbody></table>

iStudy UK

Autism Spectrum Counselling & Training (ASPECT)

Assessor Training

Foundations of Artificial Intelligence

<strong>Learn Azure Serverless Computing in a weekend with Azure Functions. This course covers core concepts such as serverless functions, event-driven applications, Azure Service Bus, database interaction, email sending, monitoring, transaction management, integrations, and more! Gain valuable and in-demand skills in Microsoft Azure's Serverless Computing.</strong>
        <p>Serverless functions are a single-purpose, programmatic feature of serverless computing (cloud computing execution model). It helps execute code written in the language of your choice with Azure Functions, an event-driven computing experience. Scale on-demand and pay only for the time your code is executed. Available as a managed service in Azure and Azure Stack, the open-source functions runtime also works on multiple destinations, including Kubernetes, Azure IoT Edge, on-premises, and even in other clouds.

You will start with learning Azure Serverless Functions from scratch in a stepwise manner. Then look at the basic concepts of serverless computing, event-driven application, Azure Functions, and Azure Service Bus. After that, you will look at Azure Serverless Functions' interaction with the database, Azure Service Bus, and queue bindings in Azure Serverless Functions.

You will explore how to send emails and messages using Azure Functions. Additionally, you will delve into version control using GitHub Actions Workflow and learn about Azure Functions monitoring. Finally, you will have the opportunity to develop a transaction management system application with Azure Functions.

By the end of this course, you will have learned Azure Serverless Computing concepts with Azure Functions.

All the resource files are added to the GitHub repository at: https://github.com/PacktPublishing/Learn-Azure-Serverless-Functions-in-a-Weekend</p>
        
        <h2>Audience</h2><p>This course is designed for cloud consultants who work on platform automation requirements or those who want to experience the power of Azure Serverless Computing.<br><br>Azure IAAS and PAAS administrators, Azure/application developers, and cloud computing enthusiasts will also gain a lot from this course.<br><br>To get the most out of this course, you should have some basic understanding of the command line (Win CMD/Unix Shell) that will help you quickly grasp the concepts, and Visual Studio Code installed on the laptop.</p>
        <h2>Approach</h2><p>This is a concise, easy-to-understand, to-the-point, and well-balanced course on Azure Serverless Functions. At the start of every video, you will look at a brief introduction to what you will be learning/implementing/executing that will help you get a clear idea and set expectations from each video. You will be building and delivering a transaction process system application in the last section.</p>
        <h2>Key Features</h2><p>A beginner-level course on Azure Functions and allied operations with the latest tools from scratch * Comes bundled with all the resource files and PPTs * A well-structured, stepwise, and complete course on Azure Serverless Functions and computing</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Learn-Azure-Serverless-Functions-in-a-Weekend</p>
        <h2>About the Author</h2><h3>Vijay Saini</h3><p>Vijay Saini is an accomplished IT professional who brings a wealth of expertise to the table. With a diversified background across multiple domains, Vijay has proven himself a valuable asset to his current role as a leading cloud service provider. His strong focus on automation has resulted in significant cost savings for the business, making him a valuable asset to the team.

Vijay is highly knowledgeable in the areas of Microsoft Azure, cloud technologies, DBMS, and Python, and is a specialist in automation using PowerShell. With a passion for teaching, Vijay has leveraged e-learning platforms to share his expertise with others, helping them develop their own skills and knowledge.</p>
        <h2>Course Outline</h2><h4>1. Introduction to the Course</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Structure</p><p style='margin: 0'>This video helps you with the structure of the course and demonstrates the basic takeaways from this course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Introduction to Serverless Computing</p><p style='margin: 0'>This video provides an introduction to serverless computing.</p></td></tr><tr><td style='padding: 15px;'><p>3. Event-Driven Architecture</p><p style='margin: 0'>This video explains the event-driven architecture from scratch.</p></td></tr><tr><td style='padding: 15px;'><p>4. What Is Azure Functions</p><p style='margin: 0'>This video explains Azure Functions in detail.</p></td></tr></tbody></table><br><h4>2. Creating Azure Function in Azure Portal</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Deploying Functions App in Azure Portal</p><p style='margin: 0'>This video helps you with deploying Functions app in Azure Portal.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating First Function in Azure Portal</p><p style='margin: 0'>This video helps you with creating your first function in Azure Portal.</p></td></tr></tbody></table><br><h4>3. Azure Functions Local Development Environment</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Configuring the Local Development Environment</p><p style='margin: 0'>This video demonstrated configuring the local development environment.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating Functions App and Understanding the File Structure</p><p style='margin: 0'>This video demonstrates defining and indexing in data structures.</p></td></tr><tr><td style='padding: 15px;'><p>3. Developing Azure Functions in Local Functions App</p><p style='margin: 0'>This video helps you with developing Azure Functions in the local functions app.</p></td></tr></tbody></table><br><h4>4. Develop Azure Functions with VS Code</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Develop Azure Functions with VS Code</p><p style='margin: 0'>This video demonstrates how to develop Azure Functions with Visual Studio Code.</p></td></tr></tbody></table><br><h4>5. Developing Azure Functions Applications with Azure SQL Database</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Environment Setup - Creating a Serverless Azure SQL Database</p><p style='margin: 0'>This video helps you with the environment setup. You will be creating a serverless Azure SQL database.</p></td></tr><tr><td style='padding: 15px;'><p>2. Developing Azure Functions API to Get Online Course Details - Part 1</p><p style='margin: 0'>This video will help you develop an Azure Functions API to connect to a SQL database and retrieve the course information from the online courses' SQL table.</p></td></tr><tr><td style='padding: 15px;'><p>3. Developing Azure Functions API to Get Online Course Details - Part 2</p><p style='margin: 0'>In the last video, you connected the function to the database, but it is not returning anything on the browser page. In this video, you will return the database to the browser page. So, basically, you will publish the formatted output in the browser and in the logs.</p></td></tr><tr><td style='padding: 15px;'><p>4. Azure Functions to Collect Feedback and Store in Database</p><p style='margin: 0'>In this video, you will see how Azure Functions is used to collect feedback and store it in the database.</p></td></tr><tr><td style='padding: 15px;'><p>5. Azure Functions to Perform Schedule Database Cleanup</p><p style='margin: 0'>In this video, you will study how Azure Functions is used to perform schedule database cleanup.</p></td></tr></tbody></table><br><h4>6. Azure Service Bus</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Azure Service Bus</p><p style='margin: 0'>This video provides an introduction to Azure Service Bus.</p></td></tr><tr><td style='padding: 15px;'><p>2. Deploy Azure Service Bus</p><p style='margin: 0'>This video helps deploy Azure Service Bus.</p></td></tr></tbody></table><br><h4>7. Azure Functions Integrations</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Azure Functions to Take Input from HTTP and Write Blobs</p><p style='margin: 0'>This video will help you develop Azure Functions to take input from HTTP and write blobs. You will be learning Azure Functions integrations with the help of bindings.</p></td></tr><tr><td style='padding: 15px;'><p>2. Azure Functions to Process Blob Storage</p><p style='margin: 0'>This video will help you develop Azure Functions to process blob storage. You will parse the text from an HTTP request and save it as a blob file in an Azure storage account container. You will process each blob in a blob container and save the output into another container.</p></td></tr><tr><td style='padding: 15px;'><p>3. Azure Functions to Add Message into Storage Queue</p><p style='margin: 0'>In this video, you will develop Azure Functions to add messages to the storage queue. The Azure Queue Storage is a service for storing a large number of messages.</p></td></tr><tr><td style='padding: 15px;'><p>4. Azure Functions to Add Message to Service Bus Topic</p><p style='margin: 0'>This video helps you develop Azure Functions to add messages to the service bus topic. Here, we will process a storage queue, read the messages, process them, and add them to Azure Service Bus Topic.</p></td></tr></tbody></table><br><h4>8. Azure Functions Integrations - Enhancing the Function Code</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Importing/Shared Code for Azure Functions</p><p style='margin: 0'>This video will help in importing/shared code for Azure Functions.</p></td></tr><tr><td style='padding: 15px;'><p>2. Binding Expression and Function Monitoring</p><p style='margin: 0'>This video explains binding expression and function monitoring in detail.</p></td></tr></tbody></table><br><h4>9. Developing a Transaction Processing System</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Transaction Management System - Requirement and Architecture</p><p style='margin: 0'>This video explains the transaction management system. You will look at the problem statement, do a requirement analysis, understand the application architecture, and the ways to implement it (steps to resolve the business problem of transaction management system).</p></td></tr><tr><td style='padding: 15px;'><p>2. HTTP Function to Queue Message</p><p style='margin: 0'>This video demonstrates how to develop an HTTP function to queue messages. Here, you will develop an HTTP trigger function, keeping in mind that it will be used by the payment gateway system to submit the payment status. It should take this information and then queue it inside Aure Service Bus as a message.</p></td></tr><tr><td style='padding: 15px;'><p>3. Azure Service Bus Trigger Function to Add Records to Database</p><p style='margin: 0'>This video demonstrates how to develop the Azure Service Bus trigger function to add records to the database. Here, you will move on to develop a second function that gets triggered upon queueing a message in our Azure Service Bus. It will take the information out of the message and record it in the Techsckool database and send the message alert to the client.</p></td></tr><tr><td style='padding: 15px;'><p>4. Send Email with Azure Functions</p><p style='margin: 0'>This video demonstrates how to send emails with Azure Functions. Here, you will continue using the previously developed function but this time, you are going to add the functionality of sending out an email notification to the client.</p></td></tr></tbody></table>

Python

SQL Server

Learn Azure Serverless Computing in a weekend with Azure Functions. This course covers core concepts such as serverless functions, event-driven applications, Azure Service Bus, database interaction, email sending, monitoring, transaction management, integrations, and more! Gain valuable and in-demand skills in Microsoft Azure's Serverless Computing.

Learn Azure Serverless Functions in a Weekend

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			<h2>Overview
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					<p><span>This comprehensive course on <strong>Building Big Data Pipelines with PySpark MongoDB and Bokeh </strong></span><span>will deepen your understanding on this topic.</span></p><p><span>After successful completion of this course you can acquire the required skills in this sector. This <strong>Building Big Data Pipelines with PySpark MongoDB and Bokeh</strong></span><b> </b><span>comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market.   </span></p><p><span>So enrol in this course today to fast-track your career ladder.</span></p>					</div>
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			<h2>How will I get my certificate?</h2>		</div>
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					<p><span>You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.</span></p>					</div>
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			<h2>Who is This course for?</h2>		</div>
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					<p><span>There is no experience or previous qualifications required for enrolment on this <strong>Building Big Data Pipelines with PySpark MongoDB and Bokeh</strong></span><span>. It is available to all students, of all academic backgrounds.</span></p>					</div>
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			<h2>Requirements</h2>		</div>
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					<p><span>Our <strong>Building Big Data Pipelines with PySpark MongoDB and Bokeh</strong></span><span> is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.</span></p><p><span>There is no time limit for completing this course, it can be studied in your own time at your own pace.</span></p>					</div>
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			<h2>Career Path</h2>		</div>
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					<p><span>Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to-</span></p><ul><li><span>Open doors of opportunities</span></li><li><span>Increase your adaptability</span></li><li><span>Keep you relevant</span></li><li><span>Boost confidence</span></li></ul><p><span>And much more!</span></p>					</div>
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					</div> <h3>Course Curriculum</h3><div><p>7 sections • 25 lectures • 05:04:00 total length</p></div><div><div><div><div><div><div><div><p>•Introduction: 00:10:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Python Installation: 00:03:00</p></div><div><div><p>•Installing Third Party Libraries: 00:03:00</p></div><div><div><p>•Installing Apache Spark: 00:12:00</p></div><div><div><p>•Installing Java (Optional): 00:05:00</p></div><div><div><p>•Testing Apache Spark Installation: 00:06:00</p></div><div><div><p>•Installing MongoDB: 00:04:00</p></div><div><div><p>•Installing NoSQL Booster for MongoDB: 00:07:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Integrating PySpark with Jupyter Notebook: 00:05:00</p></div><div><div><p>•Data Extraction: 00:19:00</p></div><div><div><p>•Data Transformation: 00:15:00</p></div><div><div><p>•Loading Data into MongoDB: 00:13:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Data Pre-processing: 00:19:00</p></div><div><div><p>•Building the Predictive Model: 00:12:00</p></div><div><div><p>•Creating the Prediction Dataset: 00:08:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Loading the Data Sources from MongoDB: 00:17:00</p></div><div><div><p>•Creating a Map Plot: 00:33:00</p></div><div><div><p>•Creating a Bar Chart: 00:09:00</p></div><div><div><p>•Creating a Magnitude Plot: 00:15:00</p></div><div><div><p>•Creating a Grid Plot: 00:09:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Installing Visual Studio Code: 00:05:00</p></div><div><div><p>•Creating the PySpark ETL Script: 00:24:00</p></div><div><div><p>•Creating the Machine Learning Script: 00:30:00</p></div><div><div><p>•Creating the Dashboard Server: 00:21:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Source Code and Notebook: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Data Engineering

Apache Spark

Professional Skills Course (PSC)

Data Skills

Building Big Data Pipelines with PySpark MongoDB and Bokeh

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Get ready for an exceptional online learning experience with the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Network Security Engineer</strong> bundle! This carefully curated collection of<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> 30 premium courses</strong> is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Network Security Engineer is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you&#39;re looking to break into a new field or deepen your existing knowledge, the<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> Network Security Engineer </strong>package has something for everyone.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As part of the Network Security Engineer package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Network Security Engineer bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Bundle Comprises the Following </strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Network Security Engineer</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> CPD Accredited Courses:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 01</strong>: Computer Networks Security from Scratch to Advanced</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 02</strong>: CompTIA Network+ Certification (N10-007)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 03</strong>: IT Administration and Networking</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 04</strong>: Mile2 Certified Network Forensics Examiner (CNFE)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 05</strong>: Cyber Security Awareness Training</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 06</strong>: Python Programming Bible | Networking, GUI, Email, XML, CGI</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 07</strong>: CompTIA Security+ (SY0-601)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 08</strong>: CompTIA PenTest+ (Ethical Hacking)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 09</strong>: Web Application Penetration Testing Course</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 10</strong>: Cyber Law Online Course</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 11</strong>: Cyber Security Incident Handling and Incident Response</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 12</strong>: GDPR</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 13</strong>: Data Center Training Essentials: General Introduction</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 14</strong>: Internet of Things</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 15</strong>: SQL Database Basics for Everyone</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 16</strong>: Cloud Computing / CompTIA Cloud+ (CV0-002)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 17</strong>: CompTIA IT Fundamentals ITF+ (FCO-U61)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 18</strong>: Information Management</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 19</strong>: Learn Ethical Hacking From A-Z: Beginner To Expert</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 20</strong>: Quick Data Science Approach from Scratch</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 21</strong>: Deep Learning Neural Network with R</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 22</strong>: Deep Learning &amp; Neural Networks Python - Keras</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 23</strong>: IT Helpdesk Administrator Training</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 24</strong>: Career Development Plan Fundamentals</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 25</strong>: CV Writing and Job Searching</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 26</strong>: Learn to Level Up Your Leadership</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 27</strong>: Networking Skills for Personal Success</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 28</strong>: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 29</strong>: Learn to Make a Fresh Start in Your Life</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 30</strong>: Motivation - Motivating Yourself &amp; Others</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">What will make you stand out?</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Upon completion of this online Network Security Engineer bundle, you will gain the following:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">CPD QS Accredited Proficiency with this <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Network Security Engineer</strong> bundle</li><li fr-original-style="" style="box-sizing: border-box;">After successfully completing the Network Security Engineer bundle, you will receive a FREE CPD PDF Certificates as evidence of your newly acquired abilities.</li><li fr-original-style="" style="box-sizing: border-box;">Lifetime access to the whole collection of learning materials of this <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Network Security Engineer</strong> bundle</li><li fr-original-style="" style="box-sizing: border-box;">The online test with immediate results</li><li fr-original-style="" style="box-sizing: border-box;">You can study and complete the Network Security Engineer bundle at your own pace.</li><li fr-original-style="" style="box-sizing: border-box;">Study for the Network Security Engineer bundle using any internet-connected device, such as a computer, tablet, or mobile device.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Each course in this Network Security Engineer bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Embrace the future of learning with the Network Security Engineer, a rich anthology of 30 diverse courses. Each course in the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Network Security Engineer</strong> bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. ThisNetwork Security Engineer bundle will take you on a unique and enriching educational journey.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Network Security Engineer bundle offers you the flexibility and convenience to learn at your own pace. Make the Network Security Engineer package your trusted companion in your lifelong learning journey.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

                        <div id="cpd" fr-original-style="" style="box-sizing: border-box;">
                            <div fr-original-style="" style="box-sizing: border-box;">
                                <div fr-original-style="" style="box-sizing: border-box;">
                                    <div fr-original-style="" style="box-sizing: border-box;">
                                        300 CPD hours / points
                                    </div>
                                        <div fr-original-style="" style="box-sizing: border-box;">
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Network Security Engineer</strong> bundle is perfect for:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Lifelong learners looking to expand their knowledge and skills.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals seeking to enhance their career with CPD certification.</li><li fr-original-style="" style="box-sizing: border-box;">Individuals wanting to explore new fields and disciplines.</li><li fr-original-style="" style="box-sizing: border-box;">Anyone who values flexible, self-paced learning from the comfort of home.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Requirements</div>
    </h2>

                        <div id="requirements" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">You are cordially invited to enroll in this bundle; please note that there are no formal prerequisites or qualifications required. We&#39;ve designed this curriculum to be accessible to all, irrespective of prior experience or educational background.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Unleash your potential with the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Network Security Engineer </strong>bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Network Security Engineer</strong>bundle package.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">CPD Quality Standard Certificate</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">30 CPD Quality Standard Certificates - Free</p></div>

                        </div>

NextGen Learning

Certified in Cybersecurity (CC)

Cisco Certified Network Professional certification (CCNP)

CompTIA Network+

IT Certifications

Network & Security

Network Engineer

Skill Up

Learning & Development

Machine Learning (ML)

Learning To Learn

Azure Machine Learning

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Machine Learning Course Using Python

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.</p><p></p>Overview<p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.</p><p></p><p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow.</p><p></p>Prerequisites<p></p><li>Creating cloud resources in Microsoft Azure.</li>  <li>Using Python to explore and visualize data.</li>  <li>Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.</li>  <li>Working with containers</li>  <li>AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience.</li><p></p></div><div id="course-pills-2"><h3>1 - Design a data ingestion strategy for machine learning projects</h3> <ul> <li>Identify your data source and format</li> <li>Choose how to serve data to machine learning workflows</li> <li>Design a data ingestion solution</li> </ul> <h3>2 - Design a machine learning model training solution</h3> <ul> <li>Identify machine learning tasks</li> <li>Choose a service to train a machine learning model</li> <li>Decide between compute options</li> </ul> <h3>3 - Design a model deployment solution</h3> <ul> <li>Understand how model will be consumed</li> <li>Decide on real-time or batch deployment</li> </ul> <h3>4 - Design a machine learning operations solution</h3> <ul> <li>Explore an MLOps architecture</li> <li>Design for monitoring</li> <li>Design for retraining</li> </ul> <h3>5 - Explore Azure Machine Learning workspace resources and assets</h3> <ul> <li>Create an Azure Machine Learning workspace</li> <li>Identify Azure Machine Learning resources</li> <li>Identify Azure Machine Learning assets</li> <li>Train models in the workspace</li> </ul> <h3>6 - Explore developer tools for workspace interaction</h3> <ul> <li>Explore the studio</li> <li>Explore the Python SDK</li> <li>Explore the CLI</li> </ul> <h3>7 - Make data available in Azure Machine Learning</h3> <ul> <li>Understand URIs</li> <li>Create a datastore</li> <li>Create a data asset</li> </ul> <h3>8 - Work with compute targets in Azure Machine Learning</h3> <ul> <li>Choose the appropriate compute target</li> <li>Create and use a compute instance</li> <li>Create and use a compute cluster</li> </ul> <h3>9 - Work with environments in Azure Machine Learning</h3> <ul> <li>Understand environments</li> <li>Explore and use curated environments</li> <li>Create and use custom environments</li> </ul> <h3>10 - Find the best classification model with Automated Machine Learning</h3> <ul> <li>Preprocess data and configure featurization</li> <li>Run an Automated Machine Learning experiment</li> <li>Evaluate and compare models</li> </ul> <h3>11 - Track model training in Jupyter notebooks with MLflow</h3> <ul> <li>Configure MLflow for model tracking in notebooks</li> <li>Train and track models in notebooks</li> </ul> <h3>12 - Run a training script as a command job in Azure Machine Learning</h3> <ul> <li>Convert a notebook to a script</li> <li>Run a script as a command job</li> <li>Use parameters in a command job</li> </ul> <h3>13 - Track model training with MLflow in jobs</h3> <ul> <li>Track metrics with MLflow</li> <li>View metrics and evaluate models</li> </ul> <h3>14 - Perform hyperparameter tuning with Azure Machine Learning</h3> <ul> <li>Define a search space</li> <li>Configure a sampling method</li> <li>Configure early termination</li> <li>Use a sweep job for hyperparameter tuning</li> </ul> <h3>15 - Run pipelines in Azure Machine Learning</h3> <ul> <li>Create components</li> <li>Create a pipeline</li> <li>Run a pipeline job</li> </ul> <h3>16 - Register an MLflow model in Azure Machine Learning</h3> <ul> <li>Log models with MLflow</li> <li>Understand the MLflow model format</li> <li>Register an MLflow model</li> </ul> <h3>17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning</h3> <ul> <li>Understand Responsible AI</li> <li>Create the Responsible AI dashboard</li> <li>Evaluate the Responsible AI dashboard</li> </ul> <h3>18 - Deploy a model to a managed online endpoint</h3> <ul> <li>Explore managed online endpoints</li> <li>Deploy your MLflow model to a managed online endpoint</li> <li>Deploy a model to a managed online endpoint</li> <li>Test managed online endpoints</li> </ul> <h3>19 - Deploy a model to a batch endpoint</h3> <ul> <li>Understand and create batch endpoints</li> <li>Deploy your MLflow model to a batch endpoint</li> <li>Deploy a custom model to a batch endpoint</li> <li>Invoke and troubleshoot batch endpoints</li> </ul></div>

Nexus Human

Microsoft AZ-900

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

DP-100T01 Designing and Implementing a Data Science Solution on Azure

<p><strong>Start your career in Data Science and earn up to £90,000 per month.</strong></p><p>Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.</p><p><strong>Our mission is simple</strong> - to be your trusted partner every step of the way, from training to employment.</p><p>In addition to teaching you the technical skills you need, we will also provide you with <strong>career mentoring and support</strong>. We will help you build your resume, prepare for interviews, and land your <strong>dream job</strong>. We also have<strong> partnerships with many companies</strong> that are hiring Data <strong>Scientists</strong>, so we can help you get your foot in the door.</p><p>If you are not happy with our service, we also offer a <strong>100% money-back guarantee</strong>. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!</p><p>If you have any questions, you can <strong>contact us</strong>. We will be happy to provide you with all the information you need.</p><p><strong>Why Choose Us?</strong></p><p>So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:</p><ul><li><strong>Personalised Guidance:</strong> We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.<br /><br /></li><li><strong>Interview Preparation:</strong> No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.<br /><br /></li><li><strong>Money-Back Guarantee:</strong> Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a <strong>100% money-back guarantee. </strong>If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.<br /><br /></li><li><strong>Continuous Career Support: </strong>Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance.</li></ul><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Business and Data Analytics for Beginners</li><li>Course 02: Quick Data Science Approach from Scratch</li><li>Course 03: Learn MySQL from Scratch for Data Science and Analytics</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 06: R Programming for Data Science</li><li>Course 07: Python Data Science with Numpy, Pandas and Matplotlib</li><li>Course 08: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li>Course 09: 2021 Data Science &amp; Machine Learning with R from A-Z</li><li>Course 10: Python Programming from Scratch with My SQL Database</li><li>Course 11: Level 2 Python Course</li><li>Course 12: Machine Learning for Predictive Maps in Python and Leaflet</li><li>Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI</li><li>Course 14: Python for Spatial Analysis in ArcGIS</li><li>Course 15: Ultimate Python Training for Beginners</li><li>Course 16: PyScript Fundamentals Training</li></ul><p><strong>How Can We Offer Job Guarantees?</strong></p><p>HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.</p> <p><strong>The </strong><strong>Data Scientist with Python </strong><strong>Program is completed in 9 easy steps:<br /><br /></strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.</p><p>After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!</p><p><strong>Step 2: Initial One-On-One Counselling Session</strong></p><p>Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.<br /><br /></p><p><strong>Step 3 - </strong><strong>Certification upon Course Completion</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.<br /><br /></p><p><strong>Step 4: </strong><strong>CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and <strong>LinkedIn profile</strong>. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. <br /><br /></p><p><strong>Step 5: Building Network and Submitting CV</strong></p><p>We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many<strong> high-profile individuals and companies</strong> through your LinkedIn profile.<br /><br /></p><p><strong>Step 6: Interview Preparation</strong></p><p>With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.<br /><br /></p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, <strong>we'll secure job interviews for you</strong>. We'll ensure you get the opportunity to showcase your skills to potential employers and <strong>get the dream job you want</strong>.<br /><br /></p><p><strong>Step 8: Post-Interview Support</strong></p><p>Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.<br /><br /></p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.</p><p>We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        100 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Beginners with an interest in Data Science and Python programming.</li><li>Programmers and Software Engineers looking to transition into Data Science.</li><li>Business Analysts and Project Managers aiming to leverage Data Science in their domains.</li><li>Researchers and Academics who wish to utilise Python for complex data analysis.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No experience required. Just enrol &amp; start learning.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Scientist: £60,000 - £90,000</li><li>Machine Learning Engineer: £65,000 - £100,000</li><li>Data Analyst: £40,000 - £60,000</li><li>Business Intelligence Analyst: £45,000 - £70,000</li><li>Data Engineer: £50,000 - £80,000</li><li>Big Data Architect: £70,000 - £120,000</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Framed (Hardcopy) Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Enrolment Letter</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>QLS Endorsed Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Start your career in Data Science and earn up to £90,000 per month.
Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.
One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance.
Here are the courses we will provide once you enrol in the program:
Course 01: Business and Data Analytics for Beginners
Course 02: Quick Data Science Approach from Scratch
Course 03: Learn MySQL from Scratch for Data Science and Analytics
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Statistics & Probability for Data Science & Machine Learning
Course 06: R Programming for Data Science
Course 07: Python Data Science with Numpy, Pandas and Matplotlib
Course 08: Complete Python Machine Learning & Data Science Fundamentals
Course 09: 2021 Data Science & Machine Learning with R from A-Z
Course 10: Python Programming from Scratch with My SQL Database
Course 11: Level 2 Python Course
Course 12: Machine Learning for Predictive Maps in Python and Leaflet
Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 14: Python for Spatial Analysis in ArcGIS
Course 15: Ultimate Python Training for Beginners
Course 16: PyScript Fundamentals Training
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Data Scientist with Python Program is completed in 9 easy steps:


Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.


Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.


Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. 


Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.


Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.


Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.


Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.


Step 9: Celebrate Your New Job!
Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Beginners with an interest in Data Science and Python programming.
Programmers and Software Engineers looking to transition into Data Science.
Business Analysts and Project Managers aiming to leverage Data Science in their domains.
Researchers and Academics who wish to utilise Python for complex data analysis.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Scientist: £60,000 - £90,000
Machine Learning Engineer: £65,000 - £100,000
Data Analyst: £40,000 - £60,000
Business Intelligence Analyst: £45,000 - £70,000
Data Engineer: £50,000 - £80,000
Big Data Architect: £70,000 - £120,000
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Academy for Health and Fitness

Big Data Analytics

Data Science with Python - IT Job Ready Program with Career Support & Money Back Guarantee

Loughborough

<div>
		

		<div>
			
			<p>This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.</p>
			<div><i></i> 5 Days - 1 Exam</div>
			<div><i></i>  £595.00 incl. VAT</div>
			
			
		</div>
	</div>

	

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			<p>Want to run this event in-house?  Enquire about running this event in-house </p>
			
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			<p>Interested in attending? Have a suggestion about running this event near you?<br />Register your interest now</p>
			
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		<h3>Description</h3>
		<p></p><p>For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice. This course includes hands-on activities for each topic area.</p>
<h3>Course Objectives: </h3>
<p>In this course, you will implement data science techniques in order to address business issues. You will:</p>
<p>• Use data science principles to address business issues. <br />• Apply the extract, transform, and load (ETL) process to prepare datasets. <br />• Use multiple techniques to analyze data and extract valuable insights. <br />• Design a machine learning approach to address business issues. <br />• Train, tune, and evaluate classification models. <br />• Train, tune, and evaluate regression and forecasting models. <br />• Train, tune, and evaluate clustering models. <br />• Finalize a data science project by presenting models to an audience, putting models into production, and monitoring model performance.</p>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p>This course is designed for business professionals who leverage data to address business issues. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.  However, there is not necessarily a single organizational role that this course targets. A prospective student might be a programmer looking to expand their knowledge of how to guide business decisions by collecting, wrangling, analyzing, and manipulating data through code; or a data analyst with a background in applied math and statistics who wants to take their skills to the next level; or any number of other data-driven situations. </p>
<p>Ultimately, the target student is someone who wants to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business.  This course is also designed to assist students in preparing for the Certified Data Science Practitioner certification.</p>
<p></p>
	
		<h3>Prerequisites</h3>
		<p></p><p>To ensure your success in this course, you should have at least a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.</p>
<p>You should have also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended.</p>
<p>In addition to programming, you should also have experience working with databases, including querying languages like SQL. </p>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4>Lesson 1: Addressing Business Issues with Data Science</h4>
<div>
<p>Topic A: Initiate a Data Science Project<br />Topic B: Formulate a Data Science Problem</p>
<h4>Lesson 2: Extracting, Transforming, and Loading Data</h4>
<p>Topic A: Extract Data <br />Topic B: Transform Data <br />Topic C: Load Data</p>
<h4>Lesson 3: Analyzing Data</h4>
<p>Topic A: Examine Data<br />Topic B: Explore the Underlying Distribution of Data <br />Topic C: Use Visualizations to Analyze Data<br />Topic D: Preprocess Data</p>
<h4>Lesson 4: Designing a Machine Learning Approach</h4>
<p>Topic A: Identify Machine Learning Concepts<br />Topic B: Test a Hypothesis</p>
</div>
<h4>Lesson 5: Developing Classification Models</h4>
<p>Topic A: Train and Tune Classification Models <br />Topic B: Evaluate Classification Models</p>
<h4>Lesson 6: Developing Regression Models</h4>
<p>Topic A: Train and Tune Regression Models <br />Topic B: Evaluate Regression Models</p>
<h4>Lesson 7: Developing Clustering Models</h4>
<p>Topic A: Train and Tune Clustering Models <br />Topic B: Evaluate Clustering Models</p>
<h4>Lesson 8: Finalizing a Data Science Project</h4>
<p>Topic A: Communicate Results to Stakeholders <br />Topic B: Demonstrate Models in a Web App <br />Topic C: Implement and Test Production Pipelines</p>
<p></p>

Mpi Learning - Professional Learning And Development Provider

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.

Certified Data Science Practitioner

<p><strong>Start your career in Data Science and earn up to £90,000 per month.</strong></p><p>Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.</p><p><strong>Our mission is simple</strong> - to be your trusted partner every step of the way, from training to employment.</p><p>In addition to teaching you the technical skills you need, we will also provide you with <strong>career mentoring and support</strong>. We will help you build your resume, prepare for interviews, and land your <strong>dream job</strong>. We also have<strong> partnerships with many companies</strong> that are hiring Data <strong>Scientists</strong>, so we can help you get your foot in the door.</p><p>If you are not happy with our service, we also offer a <strong>100% money-back guarantee</strong>. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!</p><p>If you have any questions, you can <strong>contact us</strong>. We will be happy to provide you with all the information you need.</p><p><strong>Why Choose Us?</strong></p><p>So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:</p><ul><li><strong>Personalised Guidance:</strong> We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. Our aim is to maximise your employment prospects and provide you with a range of exciting opportunities to choose from.<br /><br /></li><li><strong>Interview Preparation:</strong> No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.<br /><br /></li><li><strong>Money-Back Guarantee:</strong> Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a <strong>100% money-back guarantee. </strong>If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.<br /><br /></li><li><strong>Continuous Career Support: </strong>Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.</li></ul><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Business and Data Analytics for Beginners</li><li>Course 02: Quick Data Science Approach from Scratch</li><li>Course 03: Learn MySQL from Scratch for Data Science and Analytics</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 06: R Programming for Data Science</li><li>Course 07: Python Data Science with Numpy, Pandas and Matplotlib</li><li>Course 08: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li>Course 09: 2021 Data Science &amp; Machine Learning with R from A-Z</li><li>Course 10: Python Programming from Scratch with My SQL Database</li><li>Course 11: Level 2 Python Course</li><li>Course 12: Machine Learning for Predictive Maps in Python and Leaflet</li><li>Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI</li><li>Course 14: Python for Spatial Analysis in ArcGIS</li><li>Course 15: Ultimate Python Training for Beginners</li><li>Course 16: PyScript Fundamentals Training</li></ul><p>These courses will help you to develop your knowledge and skills to become a <strong>successful </strong>Cyber Security Expert.</p> <p><strong>The </strong><strong>Data Scientist with Python </strong><strong>Program is completed in 9 easy steps:<br /><br /></strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.</p><p>After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!</p><p><strong>Step 2: Initial One-On-One Counselling Session</strong></p><p>Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.<br /><br /></p><p><strong>Step 3 - </strong><strong>Certification upon Course Completion</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.<br /><br /></p><p><strong>Step 4: </strong><strong>CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and <strong>LinkedIn profile</strong>. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. <br /><br /></p><p><strong>Step 5: Building Network and Submitting CV</strong></p><p>We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many<strong> high-profile individuals and companies</strong> through your LinkedIn profile.<br /><br /></p><p><strong>Step 6: Interview Preparation</strong></p><p>With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.<br /><br /></p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, <strong>we'll secure job interviews for you</strong>. We'll ensure you get the opportunity to showcase your skills to potential employers and <strong>get the dream job you want</strong>.<br /><br /></p><p><strong>Step 8: Post-Interview Support</strong></p><p>Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.<br /><br /></p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.</p><p>We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        100 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Beginners with an interest in Data Science and Python programming.</li><li>Programmers and Software Engineers looking to transition into Data Science.</li><li>Business Analysts and Project Managers aiming to leverage Data Science in their domains.</li><li>Researchers and Academics who wish to utilise Python for complex data analysis.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No experience required. Just enrol &amp; start learning.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Scientist: £60,000 - £90,000</li><li>Machine Learning Engineer: £65,000 - £100,000</li><li>Data Analyst: £40,000 - £60,000</li><li>Business Intelligence Analyst: £45,000 - £70,000</li><li>Data Engineer: £50,000 - £80,000</li><li>Big Data Architect: £70,000 - £120,000</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Framed (Hardcopy) Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Enrolment Letter</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>QLS Endorsed Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Start your career in Data Science and earn up to £90,000 per month.
Are you eager to dive into the high-speed world of Data Science powered by Python? In the UK alone, Data Scientist job postings witnessed a dramatic increase of 67% in 2022, emphasising the burgeoning demand for proficient Python programmers. Amid such a dynamic job market, our online course - Data Science with Python, serves as your stepping-stone to a universe of opportunities. Whether you're taking your first step into the realm of Data Science or aiming to augment your existing skills, our program offers peerless support, ensuring you're industry-ready by the time you complete our course.
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Python experience, we will guide you towards honing your skills and developing a strong foundation in both Data Science and Python.
One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. Our aim is to maximise your employment prospects and provide you with a range of exciting opportunities to choose from.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. We believe in the value we provide and want you to feel completely satisfied with your decision to join us.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.
Here are the courses we will provide once you enrol in the program:
Course 01: Business and Data Analytics for Beginners
Course 02: Quick Data Science Approach from Scratch
Course 03: Learn MySQL from Scratch for Data Science and Analytics
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Statistics & Probability for Data Science & Machine Learning
Course 06: R Programming for Data Science
Course 07: Python Data Science with Numpy, Pandas and Matplotlib
Course 08: Complete Python Machine Learning & Data Science Fundamentals
Course 09: 2021 Data Science & Machine Learning with R from A-Z
Course 10: Python Programming from Scratch with My SQL Database
Course 11: Level 2 Python Course
Course 12: Machine Learning for Predictive Maps in Python and Leaflet
Course 13: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 14: Python for Spatial Analysis in ArcGIS
Course 15: Ultimate Python Training for Beginners
Course 16: PyScript Fundamentals Training
These courses will help you to develop your knowledge and skills to become a successful Cyber Security Expert.
The Data Scientist with Python Program is completed in 9 easy steps:


Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Science with Python Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Science with Python. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.


Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.


Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Science with Python industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. 


Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.


Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.


Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.


Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.


Step 9: Celebrate Your New Job!
Once you've secured your dream job in Data Science with Python, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science with Python begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Beginners with an interest in Data Science and Python programming.
Programmers and Software Engineers looking to transition into Data Science.
Business Analysts and Project Managers aiming to leverage Data Science in their domains.
Researchers and Academics who wish to utilise Python for complex data analysis.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Scientist: £60,000 - £90,000
Machine Learning Engineer: £65,000 - £100,000
Data Analyst: £40,000 - £60,000
Business Intelligence Analyst: £45,000 - £70,000
Data Engineer: £50,000 - £80,000
Big Data Architect: £70,000 - £120,000
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Data Scientist Job Ready Program with Career Support & Money Back Guarantee

<p><strong>***Don't Spend More; Spend Smart with This 14 in 1 Data Science Bundle***</strong></p><p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Data Science Bundle Now</strong></p><p>Tired of browsing and searching for the Data Science course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry, as you have just found the solution. Take a minute and look through this 14-in-1 extensive Data Science bundle that has everything you need to succeed in <strong>Data Science </strong>and other relevant fields!</p><p>After surveying thousands of learners just like you and considering their valuable feedback, this all-in<strong>-</strong>one <strong>Data Science </strong>bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand course that will enhance your Data Science skills and prepare you for the competitive job market.</p><p>Furthermore, to help you showcase your expertise in <strong>Data Science, </strong> we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.</p><p><strong>This Data Science Bundle Consists of the following Premium courses: </strong></p><ul><li><strong>Course 01: </strong>Data Analysis</li><li><strong>Course 02: </strong>Data Science &amp; Machine Learning with Python</li><li><strong>Course 03: </strong>R Programming for Data Science</li><li><strong>Course 04: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong>Course 05: </strong>Complete Google Analytics Course</li><li><strong>Course 06: </strong>Excel Data Analysis for Beginner</li><li><strong>Course 07: </strong>Introduction to Data Analysis</li><li><strong>Course 08: </strong>Data Analysis in Excel Level 3 Course</li><li><strong>Course 09: </strong>Google Data Studio: Data Analytics</li><li><strong>Course 10: </strong>Data Center Training Essentials: General Introduction</li><li><strong>Course 11: </strong>SQL Programming Masterclass</li><li><strong>Course 12: </strong>Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4</li><li><strong>Course 13: </strong>Learn to Use Python for Spatial Analysis in ArcGIS</li><li><strong>Course 14: </strong>GDPR Data Protection Level 5</li></ul><p>So enrol now in this Data science bundle to kick-start/ advance your career!</p><p>Curriculum of <strong>Data Science Bundle</strong></p><p><strong>Data Science with Python</strong></p><ul><li>Introduction to Python Data Science</li><li>Data Cleaning Packages</li><li>Data Visualization packages</li></ul><p><strong>How will I get my Data Science Certificate?</strong></p><p>After successfully completing the <strong>Data Science </strong>course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free (For The Title Course)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course)</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        145 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone from any background can enrol in this <strong>Data Science </strong>bundle including;</p><ul><li>Administrator</li><li>&amp; Data Analyst</li><li>Architect</li><li>Cabler</li><li>Manager</li><li>Centre Manager</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Our <strong>Data science</strong>course is fully compatible with PC's, Mac's, laptops, tablets and Smartphone devices.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Having this <strong>Data science </strong>expertise will increase the value of your CV and open you up to multiple job sectors. Explore</p><ul><li>Data Science<br /><ul><li>Administrator</li><li>Data Analyst</li><li>Architect</li><li>Cabler</li><li>Manager</li><li>Centre Manager</li></ul></li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div> <p>You will get the PDF Certificate for the title course (<strong>Data Science with Python</strong>) absolutely Free! </p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>Data Science with Python</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p>Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Data Science - CPD Accredited

<p><strong>Start your career as a Data Scientist and earn upto £90,000/ Year</strong></p><p>Are you ready to unlock the power of Python and dive into the exciting world of data science? Look no further because we have the ultimate solution for you: Introducing our Data Science with Python Course with Career Support and Job Ready Program!</p><p><strong>Our mission is simple</strong> - to be your trusted partner every step of the way, from training to employment.</p><p>In addition to teaching you the technical skills you need, we will also provide you with <strong>career mentoring and support</strong>. We will help you build your resume, prepare for interviews, and land your <strong>dream job</strong>. We also have<strong> partnerships with many companies</strong> that are hiring <strong>Data Scientists</strong>, so we can help you get your foot in the door.</p><p>If you are not happy with our service, we also offer a <strong>100% money-back guarantee</strong>. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!</p><p>If you have any questions, you can <strong>contact us</strong>. We will be happy to provide you with all the information you need.</p><p><strong>Why Choose Us?</strong></p><p>So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:</p><ul><li><strong>Personalised Guidance:</strong> We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some <strong>Data Scientist</strong> experience, we will guide you towards honing your skills and developing a strong foundation in <strong>Data Science</strong>.<br /><br /></li><li><strong>Tailored CV Building:</strong> Crafting an impressive CV is crucial in today's competitive job market. Our team of experts will work closely with you to create a professional CV that showcases your skills and highlights your potential as a Data Scientist. We'll ensure that your CV stands out among the rest, increasing your chances of landing that dream job.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Industry Experts:</strong> Gain invaluable insights and guidance from seasoned professionals who have thrived in the <strong>Data Science</strong> field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. <br /><br /></li><li><strong>Interview Preparation:</strong> No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.<br /><br /></li><li><strong>Money-Back Guarantee:</strong> Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a <strong>100% money-back guarantee. </strong>If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. <br /><br /></li><li><strong>Continuous Career Support: </strong>Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.</li></ul><p><strong>Here are the courses we will provide once you enrol in the program:</strong></p><ul><li>Course 01: Ultimate Python Training for Beginners</li><li>Course 02: Python Intermediate Training</li><li>Course 03: Python Advanced Training</li><li>Course 04: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 05: Basic Data Analysis</li><li>Course 06: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li>Course 07: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li>Course 08: Customer Analytics Training</li><li>Course 09: Google Analytics for Everyone</li><li>Course 10: Google Data Studio: Data Analytics</li><li>Course 11: Big Data Analytics with PySpark Tableau Desktop and MongoDB</li><li>Course 12: Big Data Analytics with PySpark Power BI and MongoDB</li><li>Course 13: Excel Data Analysis</li><li>Course 14: Introduction to Data Analytics with Tableau</li><li>Course 15: Machine Learning with Python Course</li><li>Course 16: Python Programming Bible | Networking, GUI, Email, XML, CGI</li></ul><p><strong>How Can We Offer Job Guarantees?</strong></p><p>HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.</p> <p><strong>The </strong><strong>Data Scientist with Python </strong><strong>Program is completed in 9 easy steps:</strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the <strong>Data Scientist </strong>Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.</p><p>After you enrol in the Program, you will get lifetime access to 16 premium courses related to <strong>Data Scientist</strong>. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!</p><p><strong>Step 2: Initial One-On-One Counselling Session</strong></p><p>Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.</p><p><strong>Step 3 - </strong><strong>Certification upon Course Completion</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.</p><p><strong>Step 4: </strong><strong>CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and <strong>LinkedIn profile</strong>. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the <strong>Data Scientist</strong> industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.</p><p><strong>Step 5: Building Network and Submitting CV</strong></p><p>We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many<strong> high-profile individuals and companies</strong> through your LinkedIn profile.</p><p><strong>Step 6: Interview Preparation</strong></p><p>With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.</p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, <strong>we'll secure job interviews for you</strong>. We'll ensure you get the opportunity to showcase your skills to potential employers and <strong>get the dream job you want</strong>.</p><p><strong>Step 8: Post-Interview Support</strong></p><p>Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.</p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in Data Science, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.</p><p>We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in <strong>Data Science</strong> begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        100 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <ul><li>Aspiring data scientists looking to enter the exciting field of data science.</li><li>Professionals from other disciplines who want to transition into the data science domain.</li><li>Software engineers or programmers interested in expanding their skill set to include data science.</li><li>Analysts or researchers who want to enhance their data analysis and modeling capabilities.</li><li>Students or graduates seeking to kick-start their careers in data science with a strong foundation.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No experience required. Just enrol &amp; start learning.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: £25,000 - £55,000 per year</li><li>Data Scientist: £40,000 - £85,000 per year</li><li>Machine Learning Engineer: £50,000 - £100,000 per year</li><li>Data Engineer: £45,000 - £80,000 per year</li><li>Business Intelligence Analyst: £35,000 - £65,000 per year</li><li>Data Science Manager: £70,000 - £120,000 per year.</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Framed (Hardcopy) Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Enrolment Letter</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>QLS Endorsed Hard Copy Certificate </h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Start your career as a Data Scientist and earn upto £90,000/ Year
Are you ready to unlock the power of Python and dive into the exciting world of data science? Look no further because we have the ultimate solution for you: Introducing our Data Science with Python Course with Career Support and Job Ready Program!
Our mission is simple - to be your trusted partner every step of the way, from training to employment.
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist!
If you have any questions, you can contact us. We will be happy to provide you with all the information you need.
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python:
Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Data Scientist experience, we will guide you towards honing your skills and developing a strong foundation in Data Science.
Tailored CV Building: Crafting an impressive CV is crucial in today's competitive job market. Our team of experts will work closely with you to create a professional CV that showcases your skills and highlights your potential as a Data Scientist. We'll ensure that your CV stands out among the rest, increasing your chances of landing that dream job.
One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked.
Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success.
Here are the courses we will provide once you enrol in the program:
Course 01: Ultimate Python Training for Beginners
Course 02: Python Intermediate Training
Course 03: Python Advanced Training
Course 04: SQL for Data Science, Data Analytics and Data Visualization
Course 05: Basic Data Analysis
Course 06: Develop Big Data Pipelines with R & Sparklyr & Tableau
Course 07: Develop Big Data Pipelines with R, Sparklyr & Power BI
Course 08: Customer Analytics Training
Course 09: Google Analytics for Everyone
Course 10: Google Data Studio: Data Analytics
Course 11: Big Data Analytics with PySpark Tableau Desktop and MongoDB
Course 12: Big Data Analytics with PySpark Power BI and MongoDB
Course 13: Excel Data Analysis
Course 14: Introduction to Data Analytics with Tableau
Course 15: Machine Learning with Python Course
Course 16: Python Programming Bible | Networking, GUI, Email, XML, CGI
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Data Scientist with Python Program is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data Scientist Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Scientist. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.
Step 3 - Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.
Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Scientist industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.
Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.
Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.
Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.
Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.
Step 9: Celebrate Your New Job!
Once you've secured your dream job in Data Science, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Aspiring data scientists looking to enter the exciting field of data science.
Professionals from other disciplines who want to transition into the data science domain.
Software engineers or programmers interested in expanding their skill set to include data science.
Analysts or researchers who want to enhance their data analysis and modeling capabilities.
Students or graduates seeking to kick-start their careers in data science with a strong foundation.
 Requirements 
No experience required. Just enrol & start learning.
 Career path 
Data Analyst: £25,000 - £55,000 per year
Data Scientist: £40,000 - £85,000 per year
Machine Learning Engineer: £50,000 - £100,000 per year
Data Engineer: £45,000 - £80,000 per year
Business Intelligence Analyst: £35,000 - £65,000 per year
Data Science Manager: £70,000 - £120,000 per year.
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Data Scientist with Python - IT Job Ready Program + Career Support & Money Back Guarantee

<div>
		

		<div>
			
			<p>The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms.</p>
			<div><i></i> 120 minutes</div>
			<div><i></i>  £50.00 incl. VAT</div>
			
			
		</div>
	</div>

	

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			<p>Want to run this event in-house?  Enquire about running this event in-house </p>
			
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			<p>Interested in attending? Have a suggestion about running this event near you?<br />Register your interest now</p>
			
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		<h3>Description</h3>
		<p></p><p>The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms. By leveraging data science concepts and technologies, businesses can mold all of that raw data into information that facilitates decisions to improve and expand the success of the business.</p>
<p></p>
	
		<h3>Modules/Lessons</h3>
		<p></p><h4><span><strong>Lesson 1:</strong> Data Science Fundamentals</span></h4>
<p>Topic A: What is Data Science?<br />Topic B: Types of Data<br />Topic C: The Data Science Lifecycle</p>
<h4><span><strong>Lesson 2:</strong> Data Science Implementation</span></h4>
<p>Topic A: Data Acquisition and Preparation<br />Topic B: Data Modeling and Visualization<br />Topic C: Data Science Roles</p>
<h4><span><strong>Lesson 3:</strong> The Impact of Data Science</span></h4>
<p>Topic A: Benefits of Data Science<br />Topic B: Challenges of Data Science<br />Topic C: Business Use Cases for Data Science</p>
<p></p>
	
		<h3>Target Student</h3>
		<p></p><p>This course is designed for business leaders and decision-makers, including C-level executives, project managers, HR leaders, Marketing and Sales leaders, and technical sales consultants, who want to increase their knowledge of and familiarity with concepts surrounding data science. Other individuals who want to know more about basic data science concepts are also candidates for this course.</p>
<p></p>

The ability to identify and respond to changing trends is a hallmark of a successful business. Whether those trends are related to customers and sales, or to regulatory and industry standards, businesses are wise to keep track of the variables that can affect the bottom line. In today's business landscape, data comes from numerous sources and in diverse forms.

Data Science for Business Professionals

<strong>This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework.</strong>
        <p>This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework. If you don't have a programming background, this course will help you create custom analytic tools in the browser by taking you through the core concepts of pandas, NumPy, Matplotlib, and Seaborn. With a step-by-step introduction to new concepts, this Django course will gradually help you get to grips with the essentials of data science.
The code bundle for this course available at https://github.com/PacktPublishing/Django-with-Data-Science</p>
        <h2>What You Will Learn</h2><p>Understand the integration of Django and Python data science libraries: pandas, Matplotlib, Seaborn, and NumPy<br>Populate the database from CSV files<br>Explore the Semantic UI framework<br>Get to grips with the basics of data science</p>
        <h2>Audience</h2><p>If you are a developer looking to dive into the world of data science with Django, this course is for you.</p>
        <h2>Approach</h2><p>A good resource for beginners with a programming mindset, this course explains each concept in a precise and easy-to-understand way. The instructor takes you through the content systematically to help you make the most of the topics covered.</p>
        <h2>Key Features</h2><p>Work with Django forms and model forms * Create a modal with price statistics * Transform the database and populate rows of the .csv file with sales data</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/django-with-data-science</p>
        <h2>About the Author</h2><h3>Lukasz Makinia</h3><p>Lukasz Makinia is a freelance web developer and a Lean Sigma Six Black Belt. From the beginning of his 8-year professional career, he's related to the field of continuous improvement by providing IT and Lean Management solutions to medium and large companies. He also creates web applications mainly for data gathering and processing using Python/Django, JavaScript, React, and ML. In his free time, Luke writes articles for his blog-PyPlane.

He is associated with 'Django Ninjas'-a web framework for building APIs with Django and Python 3.6+ type hints. They provide online educational courses mainly about Python/Django by the community of web developers across the globe. Their classes are project-based only, which means 'teaching by doing'.</p>
        <h2>Course Outline</h2><h4>1. Django Project</h4><p></p><br><h4>2. Python Data Science Libraries [Optional]</h4><p></p><br><h4>3. Field Types in Django [OPTIONAL]</h4><p></p>

Pandas

This course will show you how to create a professional and attractive user interface (UI) in Django for data science using the Semantic UI framework.

Django with Data Science

<p>Give a compliment to your career and take it to the next level. This<strong> Data Science </strong>will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this Data Sciencebundle will help you stay ahead of the pack.</p><p>Throughout the Data Scienceprogramme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector.</p><p>Along with this Data Science course, you will get <strong>10 premium courses, an original</strong><strong>Hardcopy</strong>, <strong>11 PDF Certificates (Main Course + Additional Courses) </strong>Student ID card as gifts.</p><p><strong>This Data Science Bundle Consists of the following Premium courses: </strong></p><ul><li><strong> Course 01: </strong>Data Science with Python</li><li><strong> Course 02: </strong>Data Science &amp; Machine Learning with Python</li><li><strong> Course 03: </strong>R Programming for Data Science</li><li><strong> Course 04: </strong>Python for Data Analysis</li><li><strong> Course 05: </strong>Machine Learning for Predictive Maps in Python and Leaflet</li><li><strong> Course 06: </strong>Learn to Use Python for Spatial Analysis in ArcGIS</li><li><strong> Course 07: </strong>Python Programming for Everybody</li><li><strong> Course 08: </strong>Encryption</li><li><strong> Course 09: </strong>GDPR Data Protection Level 5</li><li><strong> Course</strong> 10: Decision Making and Critical Thinking</li><li><strong> Course 11: </strong>Time Management</li></ul><p>Enrol now in Data Science to advance your career, and use the premium study materials from Apex Learning.<br /><strong>Certificate:</strong></p><ul><li><strong>PDF Certificate: Free (Previously it was £6*11 = £66)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course: Previously it was £10)</strong></li></ul><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Scienceexpertise and essential knowledge, which will assist you in reaching your goal.</p><p><strong>Curriculum:</strong></p><p><strong> Course 01: R Programming for Data Science</strong></p><ul><li>Unit 01: Data Science Overview</li><li>Unit 02: R and RStudio</li><li>Unit 03: Introduction to Basics</li><li>Unit 04: Vectors</li><li>Unit 05: Matrices</li><li>Unit 06: Factors</li><li>Unit 07: Data Frames</li><li>Unit 08: Lists</li><li>Unit 09: Relational Operators</li><li>Unit 10: Logical Operators</li><li>Unit 11: Conditional Statements</li><li>Unit 12: Loops</li><li>Unit 13: Functions</li><li>Unit 14: R Packages</li><li>Unit 15: The Apply Family - lapply</li><li>Unit 16: The apply Family - sapply &amp; vapply</li><li>Unit 17: Useful Functions</li><li>Unit 18: Regular Expressions</li><li>Unit 19: Dates and Times</li><li>Unit 20: Getting and Cleaning Data</li><li>Unit 21: Plotting Data in R</li><li>Unit 22: Data Manipulation with dplyr</li></ul><p>And much more...</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        120 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone from any background can enrol in this Data Science bundle.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Data Science course has been designed to be fully compatible with tablets and smartphones.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Having this expertise will increase the value of your CV and open you up to multiple job sectors.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>R Programming for Data Science</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p>Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Data Science with Python Course

<p><strong>Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now</strong></p><p>With a single payment you will gain access to <strong>Data Science Course Bundle 2022</strong> including <strong>10</strong> Career development courses, <strong>original hardcopy certificate, transcript</strong> and a <strong>student ID card</strong> which will allow you to get discounts on things like music, food, travel and clothes etc.</p><p>The world is one big data bank, and data science is one of the most demanding professional sectors of the present era.</p><p>The analytical and programming-oriented field of data science has limited resources for candidates to learn and develop skills, which is why you need our highly advanced [course_title] course.With step-by-step interactive video content, our training will equip you with extensive knowledge and expertise in data science, including machine learning.</p><p>This bundle course offers an opportunity to foster your career opportunities with an expert-level understanding of data science and become skilful in this industry.</p><p>Take this course anywhere and at any time. Don't let your lifestyle limit your learning or your potential.</p><p><strong>Data Science Course Bundle 2022</strong> will provide you with the <strong> CPD certificate </strong>that you'll need to succeed.</p><p>Gain experience online and interact with experts. This can prove to be the perfect way to get noticed by a prospective employer and stand out from the crowd.</p><p><strong>Data Science Course Bundle 2022 </strong>has been rated and reviewed highly by our learners and professionals alike. We have a passion for teaching, and it shows.</p><p>All of our courses have interactive online modules that allow studying to take place where and when you want it to.</p><p>The only thing you need to take <strong>Data Science Course Bundle 2022 </strong> is Wi-Fi and a screen. You'll never be late for class again.</p><p>Experienced tutors and mentors will be there for you whenever you need them, and solve all your queries through email and chat boxes.</p><p><strong>Benefits you'll get choosing Apex Learning for this Course:</strong></p><ul><li>One payment, but lifetime access to 11 CPD courses</li><li>Certificates, student ID for the title course included in a one-time fee</li><li>Full tutor support available from Monday to Friday</li><li>Free up your time - don't waste time and money travelling for classes</li><li>Accessible, informative modules taught by expert instructors</li><li>Learn at your ease - anytime, from anywhere</li><li>Study the course from your computer, tablet or mobile device</li><li>CPD accredited course - improve the chance of gaining professional skills</li><li>Gain valuable knowledge without leaving your home</li></ul><p><strong>What other courses are included with this Course?</strong></p><ol><li>Level 2 Microsoft Office Essentials</li><li>Microsoft Teams</li><li>Leadership &amp; Management Diploma</li><li>Working from Home Essentials</li><li>Mental Health and Working from Home</li><li>Online Meeting Management</li><li>Effective Communication Skills</li><li>Time Management</li><li>Report Writing</li><li>Emotional Intelligence and Human Behaviour</li></ol><p><strong>Curriculum</strong></p><p><strong>***Data Science Course Bundle 2022***</strong></p><p><strong>Welcome, Course Introduction &amp; overview, and Environment set-up</strong></p><ul><li>Welcome &amp; Course Overview</li><li>Set-up the Environment for the Course (lecture 1)</li><li>Set-up the Environment for the Course (lecture 2)</li><li>Two other options to setup environment</li></ul><p><strong>Python Essentials</strong></p><ul><li>Python data types Part 1</li><li>Python Data Types Part 2</li><li>Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1)</li><li>Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2)</li><li>Python Essentials Exercises Overview</li><li>Python Essentials Exercises Solutions</li></ul><p><strong>Python for Data Analysis using NumPy</strong></p><ul><li>What is Numpy? A brief introduction and installation instructions.</li><li>NumPy arrays, built-in methods, array methods and attributes.</li><li>Indexing, slicing, broadcasting &amp; boolean masking</li><li>Arithmetic Operations &amp; Universal Functions</li><li>Exercises Overview</li><li>Exercises Solutions</li></ul><p><strong>Python for Data Analysis using Pandas</strong></p><ul><li>What is pandas? A brief introduction and installation instructions.</li><li>Pandas Introduction</li><li>Pandas Data Structures - Series</li><li>Pandas Data Structures - DataFrame</li><li>Handling Missing Data</li><li>Data Wrangling - Combining, merging, joining</li><li>Groupby</li><li>Useful Methods and Operations</li><li>Project 1 (Overview) Customer Purchases Data</li><li>Project 1 (Solutions) Customer Purchases Data</li><li>Project 2 (Overview) Chicago Payroll Data</li><li>Project 2 (Solutions Part 1) Chicago Payroll Data</li></ul><p><strong>Python for Data Visualization using matplotlib</strong></p><ul><li>Matplotlib Essentials (Part 1) - Basic Plotting &amp; Object Oriented Approach</li><li>Matplotlib Essentials (Part 2) - Basic Plotting &amp; Object Oriented Approach</li><li>Matplotlib Essentials (Part 3) - Basic Plotting &amp; Object Oriented Approach</li><li>Matplotlib Essentials - Exercises Overview</li><li>Matplotlib Essentials - Exercises Solutions</li></ul><p><strong>Python for Data Visualization using Seaborn</strong></p><ul><li>Introduction &amp; Installation</li><li>Distribution Plots</li><li>Categorical Plots (Part 1)</li><li>Categorical Plots (Part 2)</li><li>Axis Grids</li><li>Matrix Plots</li><li>Regression Plots</li><li>Controlling Figure Aesthetics</li><li>Exercises Overview</li><li>Exercise Solutions</li></ul><p><strong>Python for Data Visualization using pandas</strong></p><ul><li>Pandas Built-in Data Visualization</li><li>Pandas Data Visualization Exercises Overview</li><li>Panda Data Visualization Exercises Solutions</li></ul><p><strong>Python for interactive &amp; geographical plotting using Plotly and Cufflinks</strong></p><ul><li>Interactive &amp; Geographical Plotting (Part 1)</li><li>Interactive &amp; Geographical Plotting (Part 2)</li><li>Interactive &amp; Geographical Plotting Exercises (Overview)</li><li>Interactive &amp; Geographical Plotting Exercises (Solutions)</li></ul><p><strong>Capstone Project - Python for Data Analysis &amp; Visualization</strong></p><ul><li>Project 1 - Oil vs Banks Stock Price during recession (Overview)</li><li>Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1)</li><li>Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2)</li><li>Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3)</li><li>Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview)</li></ul><p><strong>Python for Machine Learning (ML) - scikit-learn - Linear Regression Model</strong></p><ul><li>Introduction to ML - What, Why and Typesâ¦..</li><li>Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff</li><li>Linear Regression Model - Hands-on (Part 1)</li><li>Linear Regression Model Hands-on (Part 2)</li><li>Good to know! How to save and load your trained Machine Learning Model!</li><li>Linear Regression Model (Insurance Data Project Overview)</li><li>Linear Regression Model (Insurance Data Project Solutions)</li></ul><p><strong>Python for Machine Learning - scikit-learn - Logistic Regression Model</strong></p><ul><li>Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityâ¦etc.</li><li>Logistic Regression Model - Hands-on (Part 1)</li><li>Logistic Regression Model - Hands-on (Part 2)</li><li>Logistic Regression Model - Hands-on (Part 3)</li><li>Logistic Regression Model - Hands-on (Project Overview)</li><li>Logistic Regression Model - Hands-on (Project Solutions)</li></ul><p><strong>Python for Machine Learning - scikit-learn - K Nearest Neighbors</strong></p><ul><li>Theory: K Nearest Neighbors, Curse of dimensionality â¦.</li><li>K Nearest Neighbors - Hands-on</li><li>K Nearest Neighbors (Project Overview)</li><li>K Nearest Neighbors (Project Solutions)</li></ul><p><strong>Python for Machine Learning - scikit-learn - Decision Tree and Random Forests</strong></p><ul><li>Theory: D-Tree &amp; Random Forests, splitting, Entropy, IG, Bootstrap, Baggingâ¦.</li><li>Decision Tree and Random Forests - Hands-on (Part 1)</li><li>Decision Tree and Random Forests (Project Overview)</li><li>Decision Tree and Random Forests (Project Solutions)</li></ul><p><strong>Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs)</strong></p><ul><li>Support Vector Machines (SVMs) - (Theory Lecture)</li><li>Support Vector Machines - Hands-on (SVMs)</li><li>Support Vector Machines (Project 1 Overview)</li><li>Support Vector Machines (Project 1 Solutions)</li><li>Support Vector Machines (Optional Project 2 - Overview)</li></ul><p><strong>Python for Machine Learning - scikit-learn - K Means Clustering</strong></p><ul><li>Theory: K Means Clustering, Elbow method â¦..</li><li>K Means Clustering - Hands-on</li><li>K Means Clustering (Project Overview)</li><li>K Means Clustering (Project Solutions)</li></ul><p><strong>Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)</strong></p><ul><li>Theory: Principal Component Analysis (PCA)</li><li>Principal Component Analysis (PCA) - Hands-on</li><li>Principal Component Analysis (PCA) - (Project Overview)</li><li>Principal Component Analysis (PCA) - (Project Solutions)</li></ul><p><strong>Recommender Systems with Python - (Additional Topic)</strong></p><ul><li>Theory: Recommender Systems their Types and Importance</li><li>Python for Recommender Systems - Hands-on (Part 1)</li><li>Python for Recommender Systems - - Hands-on (Part 2)</li></ul><p><strong>Python for Natural Language Processing (NLP) - NLTK - (Additional Topic)</strong></p><ul><li>Natural Language Processing (NLP) - (Theory Lecture)</li><li>NLP-Challenges, Data Sources, Data Processing â¦..</li><li>Feature Engineering and Text Preprocessing in Natural Language Processing</li><li>NLP - Tokenization, Text Normalization, Vectorization, BoWâ¦.</li><li>BoW, TF-IDF, Machine Learning, Training &amp; Evaluation, Naive Bayes â¦</li><li>Pipeline feature to assemble several steps for cross-validationâ¦</li></ul><p><strong>How will I get my Certificate?</strong></p><p>After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free (Previously it was £10 * 11 = £110)</strong></li></ul><ul><li><strong>Hard Copy Certificate: Free (For The Title Course)</strong></li></ul><p>If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a<strong> Flat 50% discount </strong>on hard copy certificates, and you can get each for just <strong>£10</strong>!</p><p><strong>P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. </strong></p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        20 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>There is no experience or previous qualifications required for enrolment on this <strong>Data Science Course Bundle 2022</strong>. It is available to all students, of all academic backgrounds.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Our <strong>Data Science Course Bundle 2022</strong> is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G.</p><p>There is no time limit for completing this course, it can be studied in your own time at your own pace.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Having this CPD certificate will increase the value in your CV and open you up to multiple sectors such as Business &amp; Management, Admin, Accountancy &amp; Finance, Secretarial &amp; PA, Teaching &amp; Mentoring etc.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

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