Name: Data Science 2022 - CPD Accredited
Price: 53 GBP
Availability: InStock

<strong>Do you want to build a simple, reliable, and error-free chatbot for your business? If yes, then this is the course for you! Learn to build a chatbot with Amazon Lex, a fully-controlled AI service with sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications.</strong>
        <p>Amazon Lex, a fully-controlled AI service, has sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications. Amazon Web Service (AWS) provides AWS Lambda, a serverless computing service without provisioning or managing servers.

The course begins with an exhaustive overview of the fundamentals of AWS for chatbots, training chatbot development with deep learning.

Afterward, we will delve into the characteristics of AWS and its notable functionalities. Following this, we will embark on constructing a chatbot for hotel booking utilizing Amazon Lex. Subsequently, we will acquire the skills to establish an AWS Lambda function and establish its connection with Amazon Lex. Then, we will cover the concepts of chatbot backend development for AWS Lex and AWS Lambda. We will further advance to integrate the chatbot with Twilio and learn to use the AWS Software Development Kit. Website integration of AWS Lex chatbot and implementing response cards with chatbots is the final concept that we will explore in the course.

Upon completing this course, you will relate concepts and theories for chatbots in various domains, gain extensive understanding, and learn to implement AWS Lex and AWS Lambda for building real-world chatbots. You will independently build customized chatbots with AWS Lex and AWS Lambda and integrate your chatbots with WhatsApp, messaging apps, and websites.

All resources are available at: https://github.com/PacktPublishing/-Chatbots-Development-with-Amazon-Lex</p>
        <h2>What You Will Learn</h2><p>Learn the fundamentals of Amazon Web Services (AWS)<br>Gain hands-on chatbot development with Amazon Lex and Amazon Lambda<br>Explore web-based Amazon Web Services chatbot development<br>Run code on AWS Lambda without provisioning or managing servers<br>Learn practical usage of Twilio and its integration with AWS for chatbots<br>Explore the functionality of Amazon Lex for chatbot development</p>
        <h2>Audience</h2><p>This course is tailored for individuals interested in AWS and applying AWS Lex and AWS Lambda for chatbot development. This course will benefit individuals interested in building customized chatbots for their applications-AI practitioners, chatbot developers, research scholars, data scientists, and so on.</p>
        <h2>Approach</h2><p>The course is created as online tutorials that promote learning by doing. You get comprehensive knowledge via building and testing the implementation of projects in real-world applications. Simple, jargon-free explanations ensure that you understand the concepts clearly. The course provides a sound understanding of the basics before proceeding to more complex concepts.</p>
        <h2>Key Features</h2><p>Learn AWS Lex and Lambda basics and applications of chatbots and build them with hands-on practice * Develop chatbots with AWS Lex and AWS Lambda and test and implement chatbots in real-world apps * Learn essential chatbot integration with Twilio and Boto-3, and integrate websites with the chatbots</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/-Chatbots-Development-with-Amazon-Lex</p>
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p>This section focuses on the course introduction and provides a quick overview of the instructor/author of the course, the AI Sciences group and how they deliver courses, and a general course description.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Introduction</p><p style='margin: 0'>The instructor provides a general overview of what you will learn from this course-chatbot development with Amazon Lex. We will also discuss Amazon Lambda and different methodologies for chatbot building.</p></td></tr><tr><td style='padding: 15px;'><p>2. Instructor Introduction</p><p style='margin: 0'>In this video, we will quickly know the instructor/author of the course and look at his qualifications and experience in delivering the course in this online mode.</p></td></tr><tr><td style='padding: 15px;'><p>3. AI Sciences Introduction</p><p style='margin: 0'>This video briefly outlines AI Sciences, how they deliver courses online, their ratings and presence, and the topics they provide courses on.</p></td></tr><tr><td style='padding: 15px;'><p>4. Course Description</p><p style='margin: 0'>This video discusses the concepts to be covered in this course, including Amazon Web Services, Amazon Lex bot, Amazon Twilio, website integration, response cards, and more.</p></td></tr></tbody></table><br><h4>2. Fundamentals of AWS for Chatbots</h4><p>This section focuses on chatbot development with Amazon Lex, including the services offered, the salient features of Lex, the benefits of using Amazon Lex, and the architecture.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Module Overview</p><p style='margin: 0'>In this video, we will discuss the concepts covered in this module, including Amazon Web Services, the web services that Amazon provides, how we can use these services, and the benefits of AWS, apart from the salient features of AWS.</p></td></tr><tr><td style='padding: 15px;'><p>2. Overview of AWS</p><p style='margin: 0'>In this lecture, we will look at Amazon Web Services, which is the most comprehensive and widely adopted web service. We will also discuss its functionality, Amazon Community, security, innovation pace, operational expertise, and more.</p></td></tr><tr><td style='padding: 15px;'><p>3. Services of AWS</p><p style='margin: 0'>This video outlines the various services provided by AWS, including more than 200 services, AWS Compute, AWS Storage, AWS Database, AWS Migration, API Gateway, cloud management services, WAF and shield, elastic transcoder, and more.</p></td></tr><tr><td style='padding: 15px;'><p>4. Salient Features of AWS</p><p style='margin: 0'>Let's understand the salient features of AWS, including pricing, flexibility, and scalability, global architecture, PaaS services, reliability, scheduling, customization, and security.</p></td></tr><tr><td style='padding: 15px;'><p>5. Lex Bot Overview</p><p style='margin: 0'>In this video, we will look at the Amazon Lex bot. Here, we will briefly overview its architecture, define the chat experience and the processes involved, and deploy the chatbot.</p></td></tr><tr><td style='padding: 15px;'><p>6. Benefits of Amazon Lex</p><p style='margin: 0'>Here, we will discuss the benefits of using Lex bot, including seamless deployment and scaling, built-in integration with AWS, input technologies, cost-effectiveness, and simplicity.</p></td></tr><tr><td style='padding: 15px;'><p>7. Framework of Lex</p><p style='margin: 0'>In this lecture, we will discuss the framework of Amazon Lex and how it functions. We will look at the operation cycle of the Amazon chatbot.</p></td></tr></tbody></table><br><h4>3. Chatbot Development with AWS Lex and AWS Lambda</h4><p>This section focuses on chatbot development with Amazon Lex and AWS Lambda. This module is regarding hands-on training in chatbot development using Amazon Lex.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Module Overview</p><p style='margin: 0'>This is an introductory video on the concepts to be learned in this module, including chatbot creation steps, AWS Lambda, Twilio, and project creation.</p></td></tr><tr><td style='padding: 15px;'><p>2. Chatbot Steps</p><p style='margin: 0'>This video provides an in-depth outline of the various steps involved in creating a chatbot with Amazon Lex. We will understand how Amazon Lex connects with Amazon Lambda, Twilio software, and Amazon DynamoDB for storage.</p></td></tr><tr><td style='padding: 15px;'><p>3. AWS Lambda Steps</p><p style='margin: 0'>In this lesson, you will learn to connect Amazon Lambda with Amazon Lex. Amazon Lambda helps with the validation and fulfillment of the chatbot. You will learn about the steps involved in performing the connectivity.</p></td></tr><tr><td style='padding: 15px;'><p>4. Twilio and Website</p><p style='margin: 0'>In this video, you will learn about the Twilio application and how it helps Amazon Lex create the chatbot. You will learn to integrate Twilio with Lex. This is the third step for Twilio connectivity and website connectivity.</p></td></tr><tr><td style='padding: 15px;'><p>5. Response Cards</p><p style='margin: 0'>This is the last step in creating an Amazon Lex chatbot, creating and adding response cards, including the card setup, slot upgradation, chatbot building, and demonstration.</p></td></tr><tr><td style='padding: 15px;'><p>6. Start Developing Chatbot</p><p style='margin: 0'>This video demonstrates the process of creating the Amazon Lex chatbot step by step. You will learn to create your ID on Amazon.com and log in. We will get to the interface and start working from there.</p></td></tr><tr><td style='padding: 15px;'><p>7. Intent Utterance and Slot</p><p style='margin: 0'>In this video, we will discuss intent in depth, which are utterances the user asks, and reveal the user's intent. We will also understand about a slot, which is information that Amazon Lex requires to fulfill an intent.</p></td></tr><tr><td style='padding: 15px;'><p>8. Making Utterances</p><p style='margin: 0'>After understanding intents and slots in detail, we will make utterances in our chatbots. We will begin with creating intent and then create an utterance using the sample utterances tab.</p></td></tr><tr><td style='padding: 15px;'><p>9. Generic Utterance with Slots</p><p style='margin: 0'>This is the continuation of the lesson from the previous video, where we learned how to create a new intent and then create sample utterances. We will look at completing the information required for the chatbot to understand the intent and create the slot.</p></td></tr><tr><td style='padding: 15px;'><p>10. Adding Custom Slots</p><p style='margin: 0'>This video will teach us to add multiple customized slots to the utterances. We will create prompts, add slot types, create multiple slots, and then save our intent on the chatbot.</p></td></tr><tr><td style='padding: 15px;'><p>11. Build and Test</p><p style='margin: 0'>After creating the intents, we will want to create a few messages as responses to be displayed by the chatbot. You will learn to add acceptance and decline responses to the chatbot.</p></td></tr><tr><td style='padding: 15px;'><p>12. Visual Builder</p><p style='margin: 0'>In this video, we will create a conversational flow, plan the utterances, and make the chatbot accept the queries and responses. We will then use the visual builder to set up the visual perspective of the chatbot.</p></td></tr><tr><td style='padding: 15px;'><p>13. Lambda Introduction</p><p style='margin: 0'>After building and testing the chatbot and creating the visual structure, you will learn to create the backend on Amazon Lambda and connect it with our chatbot for seamless working.</p></td></tr><tr><td style='padding: 15px;'><p>14. Interconnection</p><p style='margin: 0'>This video demonstrates the process of connecting Amazon Lambda to our chatbot. We will create the functions required for our chatbot and author it from scratch.</p></td></tr><tr><td style='padding: 15px;'><p>15. Starting Lambda Code</p><p style='margin: 0'>In this video, we will prepare to write the code for the chatbot's functioning; we will import a few required libraries, including JSON, datetime, and time.</p></td></tr><tr><td style='padding: 15px;'><p>16. Session state Dialog Hook and Dialog Action</p><p style='margin: 0'>In this lecture, we will understand what a session state is, basically the state of the conversation between the user and the Amazon Lex chatbot and dialog action, which determines the action that Amazon Lex should take to the Lambda function.</p></td></tr><tr><td style='padding: 15px;'><p>17. Completing Lambda Function</p><p style='margin: 0'>In this lesson, we will complete the Lambda function and the last part of the chatbot build-the fulfillment code hook and add them to the database.</p></td></tr><tr><td style='padding: 15px;'><p>18. Testing Our Chatbot</p><p style='margin: 0'>After completing all the necessary steps in building the chatbot, we will now deploy the chatbot and back to the Lex console. We will then test the chatbot for the intended tasks it is to perform.</p></td></tr><tr><td style='padding: 15px;'><p>19. Chatbot Deployment on WhatsApp with Twilio</p><p style='margin: 0'>In this video, we will look at making sure that the chatbot is being communicated with correctly and that we do not need to use the Lex interface to use the chatbot.</p></td></tr><tr><td style='padding: 15px;'><p>20. Integration with Boto</p><p style='margin: 0'>In this lesson, we will discuss deploying our chatbot using code. We will not use a built-in application such as Twilio; instead, we will use a Python library, Boto.</p></td></tr><tr><td style='padding: 15px;'><p>21. Responses with Boto</p><p style='margin: 0'>After creating a query with Boto and obtaining responses from the chatbot, we will look at the responses obtained with Boto.</p></td></tr><tr><td style='padding: 15px;'><p>22. Chatbot on Website</p><p style='margin: 0'>This video demonstrates how to use the chatbot that we created on a website. We will look at the available code to implement the chatbot and showcase it on the website. We will use the app, Kommunicate.io.</p></td></tr><tr><td style='padding: 15px;'><p>23. Response Cards for User Experience</p><p style='margin: 0'>In this video, you will learn about creating response cards and adding better user themes and experiences.</p></td></tr><tr><td style='padding: 15px;'><p>24. Complete Chatbot with Response Cards</p><p style='margin: 0'>This video will teach us to create complete response cards and check the created slot types with options best suited for enhanced user experience. We will test the bot for the full functionality of the intended tasks.</p></td></tr></tbody></table>

Packt

AWS Lambda

Web Development

Python

Do you want to build a simple, reliable, and error-free chatbot for your business? If yes, then this is the course for you! Learn to build a chatbot with Amazon Lex, a fully-controlled AI service with sophisticated natural language models to create, develop, test, and deploy chatbots (conversational interfaces) in applications.

Chatbots Development with Amazon Lex

General Admission

Loughborough

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			<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>
			
			
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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>
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<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>
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<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>Uncover the secrets hidden within your data.</strong> In today's data-driven world, the ability to extract insights and build intelligent systems is a valuable asset. This comprehensive Diploma in Data Science Bundle equips you with the programming languages, statistical knowledge, and machine learning techniques needed to thrive in this exciting field.</p><p><strong>What can you expect from this Bundle?</strong></p><ul><li><strong>Master the fundamentals:</strong> Build a strong foundation in programming languages like Python and R, essential tools for data manipulation and analysis.</li><li><strong>Dive into Machine Learning:</strong> Explore various machine learning algorithms and techniques for predictive modelling, pattern recognition, and data-driven decision making.</li><li><strong>Embrace Big Data:</strong> Learn how to handle and analyse massive datasets using tools like PySpark and Hadoop.</li><li><strong>Become a data-driven professional:</strong> Develop the skills and knowledge to solve real-world problems and unlock the power of your data.</li></ul><p><strong>Enrol now and become a data-driven problem solver and propel your career to new heights!</strong></p><p><strong>Course List </strong></p><ul><li><strong>R Programming for Data Science:</strong></li></ul><ol><ol><ul><li>Master the fundamentals of R programming, a powerful language for data analysis and visualisation.</li><li>Learn how to import, clean, and manipulate data using R.</li></ul></ol></ol><ul><li><strong>Data Science &amp; Machine Learning with Python:</strong></li></ul><ol><ol><ul><li>Gain proficiency in Python, a versatile language widely used in data science applications.</li><li>Explore core machine learning concepts and build basic prediction models using Python libraries.</li></ul></ol></ol><ul><li><strong>Python Data Science:</strong></li></ul><ol><ol><ul><li>Deepen your understanding of Python for data science, including data structures, libraries like NumPy and Pandas, and data wrangling techniques.</li><li>Learn how to implement data visualisation tools like Matplotlib and Seaborn to create compelling data stories.</li></ul></ol></ol><ul><li><strong>SQL for Data Science, Data Analytics and Data Visualisation:</strong></li></ul><ol><ol><ul><li>Master SQL, a crucial language for querying and retrieving data from relational databases.</li><li>Learn how to integrate SQL with other data science tools for efficient analysis.</li></ul></ol></ol><ul><li><strong>Quick Data Science Approach from Scratch:</strong></li></ul><ol><ol><ul><li>Gain a foundational understanding of the data science workflow, from data acquisition to model deployment.</li><li>Learn how to approach data science problems in a structured and efficient manner.</li></ul></ol></ol><ul><li><strong>Computer Science With Python:</strong></li></ul><ol><ol><ul><li>Build a solid foundation in computer science principles, including algorithms, data structures, and problem-solving techniques.</li><li>Learn how to apply these concepts to solve data science challenges using Python.</li></ul></ol></ol><ul><li><strong>Big Data Analytics with PySpark Power BI and MongoDB:</strong></li></ul><ol><ol><ul><li>Explore big data technologies like PySpark for distributed data processing and MongoDB for handling NoSQL databases.</li><li>Learn how to integrate these tools with Power BI for effective data visualisation and business intelligence.</li></ul></ol></ol><ul><li><strong>SQL NoSQL Big Data and Hadoop:</strong></li></ul><ol><ol><ul><li>Gain a comprehensive understanding of different database types, including SQL, NoSQL, and Big Data frameworks like Hadoop.</li><li>Learn how to choose the appropriate database technology for different data science projects.</li></ul></ol></ol><ul><li><strong>Machine Learning Basics:</strong></li></ul><ol><ol><ul><li>Demystify core machine learning concepts like supervised and unsupervised learning algorithms.</li><li>Learn how to evaluate and interpret the performance of machine learning models.</li></ul></ol></ol><ul><li><strong>Machine Learning for Aspiring Data Scientists: Zero to Hero:</strong></li></ul><ol><ol><ul><li>Progress from beginner to intermediate in machine learning, building more complex models and exploring advanced techniques.</li><li>Learn how to apply machine learning to solve real-world data science problems.</li></ul></ol></ol><ul><li><strong>Business Intelligence and Data Mining:</strong></li></ul><ol><ol><ul><li>Discover best practices for extracting valuable insights from data for business decision making.</li><li>Learn data mining techniques to uncover hidden patterns and trends in large datasets.</li></ul></ol></ol><ul><li><strong>Deep Learning &amp; Neural Networks Python - Keras:</strong></li></ul><ol><ol><ul><li>Delve into the world of deep learning and artificial neural networks, a powerful technique for complex data analysis.</li><li>Learn how to implement deep learning models using popular libraries like Keras in Python.</li></ul></ol></ol><ul><li><strong>Project on Deep Learning - Artificial Neural Network:</strong></li></ul><ol><ol><ul><li>Apply your deep learning knowledge to solve a practical data science problem through a hands-on project.</li><li>Gain experience in building and deploying deep learning models.</li></ul></ol></ol><ul><li><strong>Essential Training on Deep Learning Heuristic using R:</strong></li></ul><ol><ol><ul><li>Explore deep learning concepts and implement algorithms using the R programming language.</li><li>Learn how to leverage R's capabilities for specific deep learning tasks.</li></ul></ol></ol><ul><li><strong>Statistics &amp; Probability for Data Science &amp; Machine Learning:</strong></li></ul><ol><ul><li>Develop a strong foundation in statistical concepts essential for data analysis and machine learning models.</li><li>Learn how to interpret data, conduct hypothesis testing, and assess the reliability of your results.</li></ul></ol><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>Individuals with a passion for data and an interest in extracting insights.</li><li>Professionals seeking to upskill or transition into a data science career.</li><li>Anyone who wants to unlock the power of data for better decision-making.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This bundle has minimal entry requirements, requiring only access to a computer or mobile device with internet connectivity, basic computer literacy, proficiency in the English language, and a genuine eagerness to learn. We welcome learners from all backgrounds to join us in exploring new subjects and expanding their knowledge.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Scientist</li><li>Machine Learning Engineer</li><li>Data Analyst</li><li>Business Intelligence Specialist</li><li>Data Visualisation Specialist</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4> Digital certificate</h4>
        <p>
            Digital certificate -
            £9
        </p>
        <h4> Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            £15
        </p>
            <div><p>A Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</p></div>

                        </div>

One Education

Diploma in Data Science Course

<p><strong>** Designed by Industry Specialist | FREE 2 CPD Courses With Certificates | QLS Level 7 Diploma Course | QLS Hard Copy Certificate Included | 180 CPD Points | Lifetime Access | Installment Payment | Tutor Support **</strong></p><p>In an era where 2.5 quintillion bytes of data are produced daily, the ability to process and visualise that data is paramount. Enter Power BI a tool that's taking the business world by storm. As the global market becomes increasingly data-driven, the role of a competent Data Analyst cannot be overstated. Introducing the "<strong>Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma</strong>." Designed by an industry specialist, this all-around course will guide you from the basics to the complicated nuances of <strong>Power BI</strong>, ensuring that you're not just a participant but a commander in the data revolution.</p><p>Experience beyond simple data processing. Get into 14 meticulously crafted modules that cover everything: from establishing a solid foundation in <strong>Module 01</strong> to storytelling with data in <strong>Module 08</strong> and even integrating advanced languages like Python in Module 07. With each module endorsed by <strong>Quality Licence Scheme</strong>, explore mini-projects that bolster your application abilities. By the end, you'll be adept at transforming raw data into actionable insights and compelling stories giving you a distinctive edge in the global job market.</p><p>As businesses globally recognise the vast potential of data, the demand for adept <strong>Power BI </strong>professionals skyrockets. But why be just another analyst when you can be the best? Train yourself with the "<strong>Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma</strong>" and harness the power of data to shape tomorrow. Your journey to global recognition begins here. Enrol now!</p><p><strong>â </strong><strong>ADDITIONAL GIFT </strong><strong>â</strong></p><ul><li><strong>Free Course 01:</strong> Google Data Studio</li><li><strong>Free Course 02:</strong> Business Intelligence and Data Mining</li></ul><p><strong>Learning Outcomes:</strong></p><ul><li>Be competent in the foundational concepts of Microsoft Power BI, from installation to interface navigation.</li><li>Develop proficiency in data transformation techniques using the Query Editor.</li><li>Acquire advanced data transformation skills, including dynamic data operations with the M formula language.</li><li>Comprehend the intricacies of creating robust and efficient data models with diverse relationships.</li><li>Formulate compelling visual representations of data, exploring visuals like pie charts, treemaps, and matrix visuals.</li><li>Integrate Python within Power BI, enabling advanced data manipulation and machine learning capabilities.</li><li>Narrate compelling data-driven stories, leveraging effective visualisation and storytelling techniques.</li><li>Grasp the essentials of DAX for powerful data operations, from basic aggregations to context manipulations with CALCULATE.</li><li>Navigate and optimise the Power BI Cloud Service, ensuring seamless data presentations and platform sharing.</li><li>Implement advanced security measures, understanding row-level security for safeguarding sensitive data.</li></ul><p>Experience the transformative world of data with our "<strong>Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma</strong>". Prepared by industry experts, this course bridges foundational concepts with advanced techniques, enabling learners to extract, visualise, and communicate insights effectively. From conquering Power BI's interface to advanced data storytelling, integrate Python and DAX for a holistic analytical experience. Ideal for aspiring data professionals, this course promises hands-on projects and mastery of the global market.</p><p><strong>Course Curriculum:</strong></p><p><strong>** Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma **</strong></p><p><strong>Module 01: Introduction</strong></p><ul><li>Welcome!</li><li>What is Power BI?</li><li>Download &amp; Installing Power BI Desktop</li><li>Getting to know the interface</li><li>Mini Project: Transform Data</li><li>Mini Project: Visualise Data</li><li>Mini Project: Creating a Data Model</li><li>Course Outline: What will you learn in this course?</li><li>How to learn best with this course?</li></ul><p><strong>Module 02: Preparing our Project</strong></p><ul><li>Creating our initial project file</li><li>Working with the attached project files</li></ul><p><strong>Module 03: Data Transformation - The Query Editor</strong></p><ul><li>Exploring the Query Editor</li><li>Connecting to our data source</li><li>Editing rows</li><li>Changing data types</li><li>Replacing values</li><li>Close &amp; Apply</li><li>Connecting to a CSV file</li><li>Connecting to a web page</li><li>Extracting characters</li><li>Splitting &amp; merging columns</li><li>Creating conditional columns</li><li>Creating columns from examples</li><li>Merging Queries</li><li>Pivoting &amp; Unpivoting</li><li>Appending Queries</li><li>Practice &amp; Solution: Population table</li><li>The Fact-Dimension-Model</li><li>Practice: Load the dimension table</li><li>Organising our queries in groups</li><li>Entering data manually</li><li>Creating an index column</li><li>Workflow &amp; more transformations</li><li>Module summary</li><li>Exercise 1 - Instruction</li><li>Exercise Solution</li></ul><p><strong>Module 04: Data Transformation - Advanced</strong></p><ul><li>Advanced Editor - Best practices</li><li>Performance: References vs. Duplicating</li><li>Performance: Enable / Disable Load &amp; Report Refresh</li><li>Group by</li><li>Mathematical Operations</li><li>Run R Script</li><li>Using Parameters to transform data dynamically</li><li>M formula language: Basics</li><li>M formula language: Values, Lists &amp; Tables</li><li>M formula language: Functions</li><li>M formula language: More functions &amp; steps</li><li>Exercise 2 - Instructions</li><li>Exercise 2 - Solution</li></ul><p><strong>Module 05: Creating a Data Model</strong></p><ul><li>Understanding the relationship</li><li>Create &amp; edit relationships</li><li>One-to-many &amp; one-to-one relationship</li><li>Many-to-many (m:n) relationship</li><li>Cross filter direction</li><li>Activate &amp; deactivate relationships</li><li>Model summary</li><li>Exercise 3 Create Model</li><li>Exercise 3 Solution</li></ul><p><strong>Module 06: Data Visualisation</strong></p><ul><li>Our first visual</li><li>The format tab</li><li>Understanding tables</li><li>Conditional formatting</li><li>The Pie Chart</li><li>All about the filtered visual</li><li>The filter pane for developers</li><li>Cross-filtering &amp; editing interactions</li><li>Syncing slicers across pages</li><li>Creating drill-downs</li><li>Creating drill throughs</li><li>The treemap visual</li><li>The decomposition tree</li><li>Understanding the matrix visual</li><li>Editing pages</li><li>Buttons &amp; Actions</li><li>Bookmarks to customise your report</li><li>Analytics and Forecasts with line charts</li><li>Working with custom visuals</li><li>Get data using R Script &amp; R Script visual</li><li>Asking questions - Q&amp;A visual</li><li>Wrap up - data visualisation</li></ul><p><strong>Module 07: Power BI &amp; Python</strong></p><ul><li>Python in Power BI - Plan of attack</li><li>Setting up Python for Power BI</li><li>Transforming data using Python</li><li>Creating visualisations using Python</li><li>Violin plots, pair plots &amp; ridge plots using Python</li><li>Machine learning (Bayes Text Analyser) using Python</li><li>Performance &amp; Troubleshooting</li></ul><p><strong>Module 08: Storytelling with Data</strong></p><ul><li>Introduction</li><li>Show Empathy &amp; Identify the Requirement</li><li>Finding the Most Suitable KPIs</li><li>Choose an Effective Visualisation</li><li>Make Use of Natural Reading Patterns</li><li>Tell a Story Using Visual Cues</li><li>Avoid Chaos &amp; Group Information</li><li>Warp Up - Storytelling with Data</li></ul><p><strong>Module 09: DAX - The Essentials</strong></p><ul><li>Introduction</li><li>The project data</li><li>Measures vs. Calculated Columns</li><li>Automatically creating a date table in DAX</li><li>CALENDAR</li><li>Creating a complete date table with features</li><li>Creating a key measurement table</li><li>Aggregation functions</li><li>The different versions of COUNT</li><li>SUMX - Row-based calculations</li></ul><p><strong>Module 10: DAX - The CALCULATE function</strong></p><ul><li>Calculate - The basics</li><li>Changing the context with FILTER</li><li>All</li><li>All SELECTED</li><li>All Except</li></ul><p><strong>Module 11: Power BI Service - Power BI Cloud</strong></p><ul><li>How to go on now?</li><li>Power BI Pro vs Premium &amp; Signing up</li><li>Exploring the interface</li><li>Discovering your workspace</li><li>Connecting Power BI Desktop &amp; Cloud</li><li>Understanding datasets &amp; reports</li><li>Working on reports</li><li>Updating reports from Power BI Desktop</li><li>Creating and working with workspaces</li><li>Installing &amp; using a data gateway</li><li>Get Quick Insights</li><li>Creating dashboards</li><li>Sharing our results through Apps</li><li>Power BI Mobile App</li><li>Creating the layout for the Mobile App</li><li>Wrap up - Power BI Cloud</li></ul><p><strong>Module 12: Row-Level Security</strong></p><ul><li>Introduction</li><li>Creating a Row-Level Security</li><li>Row-Level Security in the Cloud</li><li>Row-Level Security &amp; Data Model</li><li>Dynamic Row-Level Security</li><li>Dynamic Many-to-Many RLS</li><li>Hierarchical Row-Level Security</li></ul><p><strong>Module 13: More data sources</strong></p><ul><li>JSON &amp; REST API</li><li>Setting up a local MySQL database</li><li>Connecting to a MySQL database in Power BI</li><li>Connecting to a SQL database (PostgreSQL)</li></ul><p><strong>Module 14: Next steps to improve &amp; stay up to date</strong></p><ul><li>Congratulations &amp; next steps</li><li>The End</li></ul><p><strong>Please Note:</strong> Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        180 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>This <strong>Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma </strong>course is appropriate for the following:</p><ul><li>Aspiring data analysts eager to kickstart or advance their careers in the data visualization realm.</li><li>Business professionals wanting to harness data-driven insights for strategic decision-making.</li><li>Researchers and academicians aiming to represent complex data sets in easily digestible visuals.</li><li>IT specialists looking to expand their skill set into the booming field of data analytics and visualization.</li><li>Companies and teams aiming to upskill their members for improved data-driven operations and reporting.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No requirements to enrol in <strong>Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma</strong>.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: £25,000 - £40,000</li><li>Software Engineer: £28,000 - £55,000</li><li>Marketing Manager: £30,000 - £50,000</li><li>Civil Engineer: £27,000 - £52,000</li><li>Graphic Designer: £21,000 - £37,000</li><li>Solicitor: £30,000 - £60,000</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Hard Copy QLS Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>PDF Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Imperial Academy

Bring Your Data To Life | Designed by Industry Specialist |  Level 7 | QLS Endorsed Diploma | Certificate Included

Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma

<h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);">About the course</h3><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);">&ldquo;Quantum Computing for Finance&rdquo; is an emerging multidisciplinary field of quantum physics, finance, mathematics, and computer science, in which quantum computations are applied to solve complex problems.</p><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);">&ldquo;Introduction to Quantitative and Computational Finance&rdquo; provides a basis to step into the world of Quantum Computing for Finance. This introductory course will develop fundamental concepts required for an understanding of quantum algorithms and more advanced topics in computational finance. Through this course, you will learn the basics of derivative products, the Black-Scholes-Merton model for pricing vanilla derivatives, and how to compute the price of exotic options with a computer. &nbsp;This course is designed for all those who wish to develop their skills and start a career in quantitative finance.</p><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);">This course is the first part of the specialised training program: &ldquo;Quantum Computing for Finance&rdquo;.</p><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><strong style="color: rgb(34, 34, 34); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: rgb(34, 34, 34);">What Skills you will learn</strong></h3><ul style="color: rgb(88, 88, 88); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);"><li fr-original-style="" style="box-sizing: border-box;">The fundamentals of derivative products, their types &ndash; forwards and options, and their pricing.</li><li fr-original-style="" style="box-sizing: border-box;">An understanding of the Black-Scholes-Merton model, hedging and volatility modelling.</li><li fr-original-style="" style="box-sizing: border-box;">The computational and modelling techniques for pricing options such as Monte-Carlo simulations and the Finite Difference method.</li><li fr-original-style="" style="box-sizing: border-box;">A strong foundation in quantitative and computational skills for modelling and solving complex financial problems using Python programming language.</li><li fr-original-style="" style="box-sizing: border-box;">The skills for a career in the finance industry, including quantitative asset management and trading, financial engineering, risk management, and applied research.</li></ul><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Course Prerequisites</h3><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);">All potential learners should have prior knowledge of the following content areas, either through completion of academic studies or relative professional preparation:</p><ul style="color: rgb(88, 88, 88); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);"><li fr-original-style="" style="box-sizing: border-box;">Basic calculus (partial derivatives)</li><li fr-original-style="" style="box-sizing: border-box;">Probability theory (with an exposure to measure theory if possible)</li><li fr-original-style="" style="box-sizing: border-box;">Basic linear algebra (matrix operations)</li><li fr-original-style="" style="box-sizing: border-box;">Numerical Python (NumPy essentially)</li></ul><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);">The course contains several Python based programming exercises. We recommend that you install Python on your local system to practice and implement the programs explained throughout the course. For instructions and tutorials for beginners, please click on the following link:</p><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);"><a href="https://platform.qureca.com/wp-content/uploads/2020/09/python-prep.pdf" style="color: rgb(24, 149, 50); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(24, 149, 50);">Python installation instructions and tutorials for beginners</a></p><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Duration</h3><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);">The estimated duration to complete this course is approximately 4 weeks (~3hrs/week).</p><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Course assessment</h3><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);"><span lang="EN-GB" data-contrast="auto" fr-original-style="" style="box-sizing: border-box;"><span data-ccp-parastyle="Normal (Web)" fr-original-style="" style="box-sizing: border-box;">To complete the course and earn certification, you must pass all the quizzes at the end of e</span></span><span lang="EN-GB" data-contrast="auto" fr-original-style="" style="box-sizing: border-box;"><span data-ccp-parastyle="Normal (Web)" fr-original-style="" style="box-sizing: border-box;">ach lesson by scoring 80% or more.</span></span></p><p style="color: rgb(88, 88, 88); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(88, 88, 88);"><span lang="EN-GB" data-contrast="auto" fr-original-style="" style="box-sizing: border-box;"><span data-ccp-parastyle="Normal (Web)" fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></span></span></p><h4 style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"><a href="https://platform.qureca.com/courses/introduction-to-quantitative-and-computational-finance/#course-section__instructors" style="color: rgb(0, 0, 0); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(0, 0, 0);">Instructors</a></h4><div style="color: rgb(66, 66, 66); box-sizing: border-box;" fr-original-style=" color: rgb(66, 66, 66);"><a itemprop="author" href="https://platform.qureca.com/author/kevincallaghan/" style="color: rgb(24, 149, 50); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(24, 149, 50);"><img width="120" height="120" src="https://platform.qureca.com/wp-content/uploads/2021/02/Slide1-1-150x150.png" alt="" size="120" default="mm" srcset="https://platform.qureca.com/wp-content/uploads/2021/02/Slide1-1-150x150.png 150w, https://platform.qureca.com/wp-content/uploads/2021/02/Slide1-1-380x380.png 380w, https://platform.qureca.com/wp-content/uploads/2021/02/Slide1-1-300x300.png 300w, https://platform.qureca.com/wp-content/uploads/2021/02/Slide1-1-100x100.png 100w" sizes="(max-width: 120px) 100vw, 120px" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></a></div><div style="color: rgb(66, 66, 66); box-sizing: border-box;" fr-original-style=" color: rgb(66, 66, 66);"><a itemprop="author" href="https://platform.qureca.com/author/kevincallaghan/" style="color: rgb(0, 0, 0); user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: rgb(0, 0, 0);">QuantFi</a>QuantFi is a French start-up research firm formed in 2019 with the objective of using the science of quantum computing to provide solutions to the financial services industry. With its staff of PhD&#39;s and PhD students, QuantFi engages in fundamental and applied research in in the field of quantum finance, collaborating with industrial partners and universities in seeking breakthroughs in such areas as portfolio optimisation, asset pricing, and trend detection.</div>

Qureca

Quantum Computing

Introduction to Quantitative and Computational Finance

<p><strong>24 Hour Flash Deal **25-in-1 </strong><strong>Computer Vision: C++ and OpenCV with GPU support </strong><strong>Mega Bundle**</strong></p><p><strong> </strong><strong>Computer Vision: C++ and OpenCV with GPU support </strong><strong>Enrolment Gifts  **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter **</strong></p><p>Take the initial steps toward a successful long-term career by studying the <strong>Computer Vision: C++ and OpenCV with GPU support</strong> package online with <strong>Studyhub </strong>through our online learning platform. The Computer Vision: C++ and OpenCV with GPU support bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass.</p><p>This <strong>Computer Vision: C++ and OpenCV with GPU support </strong>course provides complete 360-degree training on Computer Vision: C++ and OpenCV with GPU support. You'll get not one, not two, not three, but <strong>twenty-five </strong>Computer Vision: C++ and OpenCV with GPU support courses included in this course. Plus Studyhub's signature <strong>Forever Access</strong> is given as always, meaning these Computer Vision: C++ and OpenCV with GPU support courses are yours for as long as you want them once you enrol in this course</p><p><strong>This Computer Vision: C++ and OpenCV with GPU support Bundle consists the following career oriented courses:</strong></p><ul><li>Course 01: Computer Vision: C++ and OpenCV with GPU support</li><li>Course 02: Python 3 Programming</li><li>Course 03: Machine Learning Course with Python</li><li>Course 04: Data Science &amp; Machine Learning with R</li><li>Course 05: Robotics - Sensors</li><li>Course 06: Digital Electric Circuits &amp; Intelligent Electrical Devices</li><li>Course 07: AutoCAD Programming using VB.NET with Windows Forms</li><li>Course 08: Learn MySQL from Scratch for Data Science and Analytics</li><li>Course 09: Data Structure</li><li>Course 10: Electronic Device and Circuits Protection Training</li><li>Course 11: Computer Science with Python Course</li><li>Course 12: IT Administration and Networking</li><li>Course 13: Foundations of IT Security: Protecting Digital Assets</li><li>Course 14: SQL Database Management</li><li>Course 15: Deep Learning Neural Network with R</li><li>Course 16: Computer Networks Security from Scratch to Advanced</li><li>Course 17: Electronic &amp; Electrical Devices Maintenance &amp; Troubleshooting</li><li>Course 18: Embedded Systems with 8051 Microcontroller</li><li>Course 19: MATLAB Simulink for Electrical Power Engineering</li><li>Course 20: Solidworks: Beginner to Advanced</li><li>Course 21: Info Graphics Web Design - Affinity Designer Training</li><li>Course 22: Diploma in Python Programming</li><li>Course 23: Penetration Testing with OWASP ZAP: Mastery course</li><li>Course 24: Unreal Engine 4</li><li>Course 25: Blender 3D Character Modeling &amp; Rendering</li></ul> <p>The <strong>Computer Vision: C++ and OpenCV with GPU support </strong>course has been prepared by focusing largely on Computer Vision: C++ and OpenCV with GPU support career readiness. It has been designed by our Computer Vision: C++ and OpenCV with GPU support specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners.</p><p>The Computer Vision: C++ and OpenCV with GPU support Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Computer Vision: C++ and OpenCV with GPU support bundle course has been created with <strong>twenty-five </strong>premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field.</p><p>This Computer Vision: C++ and OpenCV with GPU support Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Computer Vision: C++ and OpenCV with GPU support Elementary modules, allowing our students to grasp each lesson quickly.</p><p>The Computer Vision: C++ and OpenCV with GPU support course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc.</p><p><strong>In this exclusive </strong><strong>Computer Vision: C++ and OpenCV with GPU support </strong><strong>bundle, you really hit the jackpot. Here's what you get:</strong></p><ul><li>Step by step Computer Vision: C++ and OpenCV with GPU support lessons</li><li>One to one assistance from Computer Vision: C++ and OpenCV with GPU supportprofessionals if you need it</li><li>Innovative exams to test your knowledge after the Computer Vision: C++ and OpenCV with GPU supportcourse</li><li>24/7 customer support should you encounter any hiccups</li><li>Top-class learning portal</li><li>Unlimited lifetime access to all twenty-five Computer Vision: C++ and OpenCV with GPU support courses</li><li>Digital Certificate, Transcript and student ID are all included in the price</li><li>PDF certificate immediately after passing</li><li>Original copies of your Computer Vision: C++ and OpenCV with GPU support certificate and transcript on the next working day</li><li>Easily learn the Computer Vision: C++ and OpenCV with GPU support skills and knowledge you want from the comfort of your home</li></ul> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        250 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>This <strong>Computer Vision: C++ and OpenCV with GPU support </strong>training is suitable for -</p><ul><li>Students</li><li>Recent graduates</li><li>Job Seekers</li><li>Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Computer Vision: C++ and OpenCV with GPU support</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>To participate in this <strong>Computer Vision: C++ and OpenCV with GPU support </strong>course, all you need is -</p><ul><li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in Computer Vision: C++ and OpenCV with GPU support</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>You will be able to kickstart your <strong>Computer Vision: C++ and OpenCV with GPU support </strong>career because this course includes various courses as a bonus. This Computer Vision: C++ and OpenCV with GPU support is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Computer Vision: C++ and OpenCV with GPU support career opportunities.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><ul><li>CPD Accredited e-Certificate - Free</li><li>CPD Accredited Hardcopy Certificate - Free</li><li>Enrolment Letter - Free</li><li>Student ID Card - Free</li></ul></div>

                        </div>

Studyhub UK

Computer Vision: C++ and OpenCV with GPU support - CPD Certified

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Accelerate Your Web Developer Career: Fast-Track Program with Exams, TOTUM Card &amp; 5-Year Support. Enrol Today!</p><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><div style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Study method</strong></div>Online</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Duration</strong></div>9 months <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&middot;</strong>&nbsp;Self-paced</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Access to content</strong></div>5 years</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Certifications</strong></div></div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">CompTIA IT Fundamentals Certification</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist HTML5 Application Development</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist HTML and CSS</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist Python</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist AI (Artificial Intelligence)</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Pearson IT Specialist JavaScript</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Adobe Certified Professional Photoshop</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Adobe Certified Professional Illustrator</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Adobe Certified Professional Premier Pro</div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><br fr-original-style="" style="box-sizing: border-box;"></div><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><div style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Additional info</strong></div><ul fr-original-style="" style="box-sizing: border-box;"><li style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Exam(s) / assessment(s) is included in price</li><li style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Tutor is available to students</li><li style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">TOTUM card included in price</li><li style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Job guarantee programme is included in this course</li></ul><div fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></div><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Overview</h2><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><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;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learn the most in-demand digital skills in the world today with the Nuyew Tech Academy</strong></strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">If you have an eye for detail and enjoy being creative, this could be the career for you. Web professionals plan create and code web pages that meet a specification for a client or an employer.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">You may be involved with the technical and graphical aspects of the website, playing a vital part of the overall look and feel as well as determining the logic of how the website functions to meet the websites intended goal.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Certifications</h2><h3 fr-original-style="" style="box-sizing: border-box;">CompTIA IT Fundamentals Certification</h3>Awarded by&nbsp;CompTIA</section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist HTML5 Application Development</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist HTML and CSS</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist Python</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist AI (Artificial Intelligence)</h3><h3 fr-original-style="" style="box-sizing: border-box;">Pearson IT Specialist JavaScript</h3>Awarded by&nbsp;Pearson</section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h3 fr-original-style="" style="box-sizing: border-box;">Adobe Certified Professional Photoshop</h3><h3 fr-original-style="" style="box-sizing: border-box;">Adobe Certified Professional Illustrator</h3><h3 fr-original-style="" style="box-sizing: border-box;">Adobe Certified Professional Premier Pro</h3>Awarded by&nbsp;Adobe</section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"></section></section></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><br fr-original-style="" style="box-sizing: border-box;"></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><h2 fr-original-style="" style="box-sizing: border-box;">Description</h2><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">With a national shortage of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Web Developers</strong>, starting salaries of up to &pound;25,000 per annum (average UK Salary &pound;37,500) and amazing future employed and self-employed career prospects, take the next step today with our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Fast Track Web Developer</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Programme.</strong></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;">What you can expect from our Fast Track Programme:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">World Class Education</li><li fr-original-style="" style="box-sizing: border-box;">Energetic and unlimited 24/7 Student Support</li><li fr-original-style="" style="box-sizing: border-box;">Real, tangible Career Outcomes</li><li fr-original-style="" style="box-sizing: border-box;">5 Years Career Support and Course Access</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 our programme includes:</strong></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;">Foundation Awards</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">CompTIA ITF+ (IT Fundamentals)</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;">Industry Recognised Qualifications</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist HTML5 Application Development</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist HTML and CSS</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist JavaScript</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist Python</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Pearson IT Specialist AI (Artificial Intelligence)</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Adobe Certified Professional Photoshop</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Adobe Certified Professional Illustrator</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Adobe Certified Professional Premier PRO</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;">Exams</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Includes all Exams and Unlimited Re-Sits</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;">5 Years Career Support Guarantee</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As part of our unique Support Guarantee, our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Career Support Team</strong>&nbsp;will assist you with:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">CV writing</li><li fr-original-style="" style="box-sizing: border-box;">Expert careers advice</li><li fr-original-style="" style="box-sizing: border-box;">Interview preparation</li><li fr-original-style="" style="box-sizing: border-box;">Identifying and applying for the best opportunities in your area</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As a student in the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Nuyew Tech Academy</strong>&nbsp;you will also be given exclusive access to our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Career Skills Academy</strong>&nbsp;which includes advanced courses on Employability, CV Preparation, Interview Skills and Technique and everything else you need to get ready for your new Career.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is open to anyone interested in pursuing a Career in Web Development. Our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Foundation Level</strong>&nbsp;provides the flexibility for us to accommodate students with any level of previous knowledge and experience.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is open to all and has no pre-requisites All you need is a passion for technology and a strong desire to succeed.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our programme is designed to enable you to achieve an Entry Level/Helpdesk role during training (&pound;18k-&pound;24K) ensuring that you also have the vital work experience required to enter the Tech Industry at a higher level (Av Salary &pound;37.5K).</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">Our Career Support Guarantee gives you exclusive access to our dedicated Career Support Team and Advanced Career Skills Academy for 5 Years following Graduation.</p></section></section></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><br fr-original-style="" style="box-sizing: border-box;"></section></section></div>

NuYew Ltd

Web Developer

Certified Web Developer Pathway with Career Guarantee

<p><em><strong>48-Hour Knowledge Knockdown! Prices Reduced Like Never Before!</strong></em></p><p>Have you ever looked at a map and wondered how it was created? Have you ever wanted to gain the skills to analyse spatial data? Look no further than our Spatial Analysis in ArcGIS bundle.</p><p>With our QLS-endorsed Spatial Analysis in ArcGIS course, you'll gain a deep understanding of geographic information systems and how to utilise ArcGIS software for spatial data analysis. Plus, receive a free QLS hardcopy certificate upon completion, an essential addition to your credentials.</p><p>But the learning doesn't stop there. Our bundle includes ten more relevant courses, all CPD-QS accredited. From ArcGIS for Hydrology to Web Scraping and Mapping Dam Levels in Python and Leaflet, you'll gain a comprehensive skill set in the field of spatial analysis. Don't just take our word for it. Our courses have been meticulously designed by experienced people to provide you with a theoretical understanding of the subject matter. And with our user-friendly platform, you can learn at your own pace and convenience.</p><p>Unlock the power of spatial analysis with our bundle today. Enrol now and start your journey towards becoming a skilled spatial analyst.</p><p><strong>This </strong><strong>Spatial Analysis in ArcGIS</strong><strong> Bundle Package includes:</strong></p><ul><li><strong>Course 01:</strong> Award in Spatial Analysis in ArcGIS at QLS Level 2</li></ul><p><strong>10 Premium Additional CPD QS Accredited Courses -</strong></p><ul><li><strong>Course 01:</strong> ArcGIS for Hydrology</li><li><strong>Course 02:</strong> Remote Sensing in ArcGIS</li><li><strong>Course 03:</strong> QGIS Cartography</li><li><strong>Course 04:</strong> Business Intelligence and Data Mining Diploma</li><li><strong>Course 05:</strong> Python Data Science</li><li><strong>Course 06:</strong> Spatial Data Visualization and Machine Learning in Python Level 4</li><li><strong>Course 07:</strong> Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4</li><li><strong>Course 08:</strong> Learn to Use Python for Spatial Analysis in ArcGIS</li><li><strong>Course 09:</strong> Maps in R Shiny and Leaflet</li><li><strong>Course 10:</strong> The Basics of ArcGIS for Hydrology</li></ul><p><strong>Why Prefer This </strong><strong>Spatial Analysis in ArcGIS</strong><strong> Bundle?</strong></p><ul><li>You will receive a completely free certificate from the Quality Licence Scheme</li><li>Option to purchase 10 additional certificates accredited by CPD</li><li>Get a free Student ID Card - (£10 postal charges will be applicable for international delivery)</li><li>Free assessments and immediate success results</li><li>24/7 Tutor Support</li></ul> <p><strong>After taking this </strong><strong>Spatial Analysis in ArcGIS</strong><strong> bundle courses, you will be able to learn:</strong></p><ul><li>Develop a comprehensive understanding of spatial analysis and its applications in the industry.</li><li>Gain practical experience using ArcGIS software for spatial data analysis and hydrology.</li><li>Learn to use remote sensing techniques in ArcGIS for data collection and analysis.</li><li>Master the art of cartography using QGIS software.</li><li>Gain expertise in business intelligence, data mining, and data science using Python.</li><li>Explore spatial data visualisation and machine learning using Python.</li><li>Learn how to use R Shiny and Leaflet for creating interactive maps.</li></ul><p><strong>***Curriculum breakdown of </strong><strong>Spatial Analysis in ArcGIS</strong><strong>***</strong></p><ul><li><strong>Module 01: </strong>Point Density Analysis</li><li><strong>Module 02:</strong> Raster Calculator and Vector Isolation</li><li><strong>Module 03:</strong> Raster to Topography</li><li><strong>Module 04: </strong>Raster Reclassification</li><li><strong>Module 05: </strong>Raster Overlay</li><li><strong>Module 06: </strong>Slope Analysis and Hydrology tools</li><li><strong>Module 07:</strong> Introduction to TIFF Files</li><li><strong>Module 08:</strong> Introduction to 3D Surfaces</li><li><strong>Module 09:</strong> Satellite Images and TIN Surfaces</li><li><strong>Module 10: </strong>Exercise</li></ul><p><strong>How is the Spatial Analysis in ArcGIS Bundle Assessment Process?</strong></p><p>You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment.</p><p>You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        160 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>Professionals looking to expand their skill set in the field of spatial analysis.</li><li>Graduates seeking to enhance their employability in the GIS industry.</li><li>Individuals seeking to understand spatial data analysis for research purposes.</li><li>Students pursuing a degree in GIS or a related field.</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This bundle will be beneficial for anyone looking to pursue a career as:</p><ul><li>GIS Analyst: £22,000 - £35,000 per annum.</li><li>GIS Developer: £30,000 - £50,000 per annum.</li><li>Spatial Data Scientist: £30,000 - £70,000 per annum.</li><li>Data Analyst: £25,000 - £40,000 per annum.</li><li>Business Intelligence Analyst: £35,000 - £60,000 per annum.</li><li>Hydrologist: £25,000 - £40,000 per annum.</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Award in Spatial Analysis in ArcGIS at QLS Level 2</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>After successfully completing the course, you can order an original hardcopy Certificate of Achievement endorsed by the <strong>Quality Licence Scheme</strong>. This certificate will be delivered to your home, free of charge.</p><p>To obtain the additional Quality Licence Scheme Endorsed Certificate, you will need to pay the corresponding fee based on the level of the courses:</p><ul><li>Level 1: £59</li><li>Level 2: £79</li><li>Level 3: £89</li><li>Level 4: £99</li><li>Level 5: £119</li><li>Level 6: £129</li><li>Level 7: £139</li></ul> </div>
        <h4>CPD QS Accredited Certificate </h4>
        <p>
            Digital certificate -
            £10
        </p>
            <div> <p>Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS and will cost you £10 for each course. Also, the certificates are recognised throughout the UK and internationally.</p> </div>
        <h4>CPD QS Accredited Certificate </h4>
        <p>
            Hard copy certificate -
            £29
        </p>
            <div> <p>International students are subject to a £10 delivery fee for their orders, based on their location.</p> </div>

                        </div>

Academy for Health and Fitness

Spatial Analysis in ArcGIS for Hydrology

<p><strong>24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now!</strong></p><p>Embark on a journey to unravel the mysteries of Hydrology with the "ArcGIS for Hydrology" bundle! Whether you're an environmentalist, geologist, or simply curious about the world around you, this bundle has something for everyone. With 11 comprehensive courses, you can explore the depths of hydrology, spatial analysis, data visualisation, and more.</p><p>The first course in the bundle is QLS-endorsed, ensuring that you receive a hardcopy certificate upon completion - a testament to your commitment to learning and expanding your knowledge base. But that's just the beginning. The remaining 10 courses are CPD-QS accredited, which means you can be sure that you're gaining valuable insights and knowledge from the best in the industry.</p><p>Through the bundle, you'll learn about a range of tools, techniques, and methodologies that will enhance your understanding of hydrology and enable you to create impactful solutions. From spatial data visualisation and machine learning to web scraping and mapping dam levels, the bundle covers everything you need to know to be successful.</p><p>So, whether you're a seasoned professional or a curious beginner, join the ArcGIS for Hydrology bundle and immerse yourself in a world of knowledge and discovery. Let the courses take you on an enriching journey, expanding your mind and providing you with the skills and insights necessary to make a positive impact in the world of Hydrology. Enrol right now!</p><p><strong>This </strong><strong>ArcGIS for Hydrology</strong><strong> Bundle Package includes:</strong></p><ul><li><strong>Course 01: </strong>Diploma in ArcGIS for Hydrology at QLS Level 4</li></ul><p><strong>10 Premium Additional CPD QS Accredited Courses -</strong></p><ul><li><strong>Course 01: </strong>QGIS Cartography</li><li><strong>Course 02: </strong>Spatial Analysis in ArcGIS</li><li><strong>Course 03: </strong>Remote Sensing in ArcGIS</li><li><strong>Course 04: </strong>Python Data Science</li><li><strong>Course 05: </strong>Business Intelligence and Data Mining Diploma</li><li><strong>Course 06: </strong>Spatial Data Visualization and Machine Learning in Python Level 4</li><li><strong>Course 07: </strong>Create Smart Maps in Python and Leaflet Level 3</li><li><strong>Course 08: </strong>Web Scraping and Mapping Dam Levels in Python and Leaflet Level 4</li><li><strong>Course 09: </strong>Maps in R Shiny and Leaflet</li><li><strong>Course 10: </strong>The Basics of ArcGIS for Hydrology</li></ul><p><strong>Why Prefer This </strong><strong>ArcGIS for Hydrology</strong><strong> Bundle?</strong></p><ul><li>You will receive a completely free certificate from the Quality Licence Scheme</li><li>Option to purchase 10 additional certificates accredited by CPD</li><li>Get a free Student ID Card - (£10 postal charges will be applicable for international delivery)</li><li>Free assessments and immediate success results</li><li>24/7 Tutor Support</li></ul> <p><strong>After taking this </strong><strong>ArcGIS for Hydrology</strong><strong> bundle courses, you will be able to learn:</strong></p><ul><li>Develop a deep understanding of hydrology and its applications</li><li>Master the use of ArcGIS and QGIS for cartography and spatial analysis</li><li>Learn how to use Python for data science, machine learning, and web scraping</li><li>Enhance your data visualisation skills in ArcGIS and Python</li><li>Gain expertise in creating smart maps and web applications using Leaflet and R Shiny</li><li>Understand the basics of hydrology in ArcGIS for beginners</li><li>Earn QLS-endorsed and CPD-QS accredited certificates to showcase your skills and knowledge.</li></ul><p><strong>***Curriculum breakdown of ArcGIS for Hydrology</strong><strong>***</strong></p><p><strong>Section 01: Introduction to ArcGIS software</strong></p><ul><li>Introduction to GIS</li><li>Introduction to ArcGIS software</li><li>Selection by Location, attributes, clip features and tables to Excel</li><li>Performing actions on the data: change the projections, dissolve, clip</li><li>From .TXT and .DXF to shapefile</li><li>Calculations with attribute table and KML files in ArcMap</li><li>Export from ArcMap to PDF</li><li>ArcScene 3D</li><li>GIS Example Test</li><li>AutoCAD fixing polygon coordinates</li></ul><p><strong>Section 02: ArcGIS for Hydrology</strong></p><ul><li>Download hydrological data</li><li>Calculate flow direction and flow accumulation</li><li>Watershed delineation</li><li>Clip layers to watershed boundary</li><li>Stream segments and catchments areas</li><li>Stream order convert to vector</li><li>Spatial join to catchments</li><li>Join stream id to stream order</li><li>Map data and initial layout</li><li>Add and format map elements</li></ul><p><strong>How is the </strong><strong>ArcGIS for Hydrology</strong><strong>Bundle Assessment Process?</strong></p><p>You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment.</p><p>You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        220 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>This bundle is perfect for:</p><ul><li>Environmentalists, geologists, hydrologists, and scientists</li><li>GIS professionals, software engineers, and developers</li><li>Students and researchers in the fields of hydrology and environmental sciences</li><li>Anyone interested in learning about hydrology and its practical applications.</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Here are a few options that people explore in this industry:</p><ul><li>GIS Analyst: £22,000 - £36,000 per year</li><li>Hydrologist: £25,000 - £45,000 per year</li><li>Environmental Scientist: £24,000 - £40,000 per year</li><li>Data Scientist: £35,000 - £75,000 per year</li><li>Web Developer: £24,000 - £50,000 per year</li><li>Machine Learning Engineer: £45,000 - £85,000 per year</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD QS Accredited Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><p>Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS. Also, the certificates are recognised throughout the UK and internationally.</p></div>
        <h4>CPD QS Accredited Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>International students are subject to a £10 delivery fee for their orders, based on their location.</p></div>
        <h4>Diploma in ArcGIS for Hydrology at QLS Level 4</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

ArcGIS for Hydrology Diploma - CPD Certified

<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>

Apex Learning

Data Science 2022 - CPD Accredited

<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

Data Engineering

Microsoft AZ-900

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

Azure Machine Learning

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

"Start your career as a Certified Python Programmer and earn up to £70,000 per Year."
Are you looking to make your mark in the ever-evolving world of Data Analyst? The demand for Python programmers has never been higher. Just in the UK, job postings for Analysts / Python programmers surged by an astounding 70% in 2022. This exponential growth trend signifies the soaring need for skilled Python programmers. Amid this vibrant job market, our Python Programmer online Training is your golden ticket to a prosperous career in programming or Data Analysis. Regardless of your level - beginner or expert - we ensure a comprehensive learning experience that will enhance your current skills and prepare you for the dynamic tech industry.
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Our Python Certification Program offers more than just technical know-how. We extend comprehensive career mentoring and support designed to mould you into an industry-ready professional. We'll assist you in creating an impressive resume, preparing for interviews, and landing your dream job. With a vast network of partner companies continually looking for Python programmers, we provide an opportunity to get your foot in the door of your desired companies.
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 Programmers, so we can help you get your foot in the door.
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One-On-One Consultation: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Python programming field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise.
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Courses we will provide once you enrol in the program:
Course 01: Computer Science With Python
Course 02: Ultimate Python Training for Beginners
Course 03: Python Intermediate Training
Course 04: Python Advanced Training
Course 05: Deep Learning & Neural Networks Python - Keras
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Course 06: Introduction to Data Analysis
Course 07: Business and Data Analytics for Beginners
Course 08: Data Analytics with Tableau
Course 09: Quick Data Science Approach from Scratch
Course 10: Learn MySQL from Scratch for Data Science and Analytics
Course 11: SQL for Data Science, Data Analytics and Data Visualization
Course 12: Statistics & Probability for Data Science & Machine Learning
Course 13: Basic Google Data Studio
Course 14: Machine Learning with Python Course
Course 15: Python Programming Bible | Networking, GUI, Email, XML, CGI
Course 16: Web Scraping and Mapping Dam Levels in Python and Leaflet
Course 17: Coding Essentials - Javascript, ASP. Net, C#
Course 19: Master JavaScript with Data Visualization
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 Python Certification - IT Training is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Python Certification 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 19 Premium Courses related to Python Programming. These courses will teach you the knowledge and skills required to become a successful Python Prgrammer. 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 programming/development 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 Python Programming, 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 Python Programming begins with us.
 CPD 
100 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
This Python Certification Course is suitable for:
Beginners with no prior programming experience who are looking to enter the world of coding.
Intermediate programmers who wish to expand their skills and explore Python's extensive usage.
IT professionals seeking to diversify their skill sets and stay relevant in today's tech-driven market.
Data analysts and scientists who want to leverage Python's powerful libraries for their data processing needs.
Students and recent graduates looking to enhance their employability in the thriving tech industry.
Entrepreneurs who wish to understand and utilise Python to automate tasks and analyse data for their businesses.
Anyone with a keen interest in Python programming and a desire to delve into its applications in diverse fields like web development, data science, machine learning, and more.
 Requirements 
No experience required. Just enrol & start learning python.
 Career path 
Upon completion of our Program, the potential career paths include:
Python Developer: £30,000 - £90,000 annually
Data Scientist: £40,000 - £100,000 annually
Machine Learning Engineer: £50,000 - £110,000 annually
Data Analyst: £35,000 - £85,000 annually
Software Engineer: £35,000 - £95,000 annually
Back-end Developer: £40,000 - £95,000 annually
Web Developer: £30,000 -£85,000 annually
 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 

Programming Fundamentals

Career Development

IT Certifications

Become an IT professional with our Python Certification - IT Job Ready Program! Gain comprehensive skills in Python programming, data analysis, and automation. We offer a money-back guarantee if you don't secure a job within six months of completion. Enroll now and jumpstart your tech career!


Ready to land your dream job in tech? Our Python Certification - IT Job Ready Program equips you with essential Python programming, data analysis, and automation skills. Plus, we offer a money-back guarantee if you don't get hired within six months of completing the course. Don't miss out – enroll today and take the first step towards a successful IT career! 💻📊 #PythonCertification #TechTraining #CareerReady #MoneyBackGuarantee

Python Certification - IT Job Ready Program with Money Back Guarantee

<strong>Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.</strong>
        <p>This course will teach you Python in a practical manner, complete with examples, quizzes, exercises, and more. You will learn when to use Python 2 and Python 3; both versions are covered in the course and you will learn to program in both. You'll learn how to take tedious and repetitious tasks and turn them into programs that will save you time and simplify your life on Linux, UNIX, or MAC systems. You will learn how to prepare your computer for programming in Python; how to work with various data types including strings, lists, tuples, dictionaries, Booleans; how to perform mathematical operations using Python, and more.</p>
        <h2>What You Will Learn</h2><p>When to use Python 2 and when to use Python 3.<br>How to install Python on Windows, Mac, and Linux.<br>How to prepare your computer for programming in Python.<br>The various ways to run a Python program on Windows, Mac, and Linux.<br>Suggested text editors and Integrated Development Environments to use when coding in Python.<br>How to work with various data types including strings, lists, tuples, dictionaries, Booleans, and more.<br>What variables are and when to use them.<br>How to perform mathematical operations using Python.<br>How to capture input from a user.<br>Ways to control the flow of your programs.<br>The importance of white space in Python.<br>How to organize your Python programs: learn what goes where.<br>What modules are, when you should use them, and how to create your own.<br>How to define and use functions.<br>Important built-in Python functions that you ll use often.<br>How to read from and write to files.<br>The difference between binary and text files.<br>Various ways of getting help, including finding Python documentation.<br></p>
        <h2>Audience</h2><p>This course targets anyone interested in Python programming, Python scripting, or computer programming in general; those who want to become a highly paid Python developer; and those who want to open up doors in their IT career by learning one of the world's most popular and in-demand programming languages.</p>
        <h2>Approach</h2><p>A complete course packed with step-by-step instructions, practice exercises with solutions, and quizzes. This course is clearly divided into small parts to help you understand each part individually and learn at your own pace. Once you've completed this course you'll know how to write programs that will run on the Linux, Mac, and Windows operating systems. You can even take what you've learned and apply it to web applications. </p>
        <h2>Key Features</h2><p>How to install Python on Windows, Mac, and Linux. * A practical tutorial designed for Python beginners. * </p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-for-beginners-learn-python-programming-python-3-</p>
        <h2>About the Author</h2><h3>Jason Cannon</h3><p>Jason Cannon is a professional system administrator, consultant, and author. He started his career as a Unix and Linux System engineer in 1999. Since that time, he has utilized his Linux skills at companies such as Xerox, UPS, Hewlett-Packard, and Amazon.com. Additionally, he has acted as a technical consultant and independent contractor for small businesses and Fortune 500 companies.

Jason has professional experience with CentOS, RedHat Enterprise Linux, SUSE Linux Enterprise Server, and Ubuntu. He has used several Linux distributions on personal projects including Debian, Slackware, CrunchBang, and others. In addition to Linux, Jason has experience supporting proprietary Unix operating systems including AIX, HP-UX, and Solaris. He enjoys teaching others how to use and exploit the power of the Linux operating system.</p>
        <h2>Course Outline</h2><h4>1. Course Overview and Downloads</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Course Overview</p><p style='margin: 0'>Course Overview and Downloads: Course Overview</p></td></tr></tbody></table><br><h4>2. Python Setup</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Python 2 vs Python 3</p><p style='margin: 0'>Python Setup: Python 2 vs Python 3</p></td></tr><tr><td style='padding: 15px;'><p>2. Installing Python on Windows</p><p style='margin: 0'>Python Setup: Installing Python on Windows</p></td></tr><tr><td style='padding: 15px;'><p>3. Installing Python on Mac</p><p style='margin: 0'>Python Setup: Installing Python on Mac</p></td></tr><tr><td style='padding: 15px;'><p>4. Installing Python on Linux</p><p style='margin: 0'>Python Setup: Installing Python on Linux</p></td></tr><tr><td style='padding: 15px;'><p>5. Writing Python Programs</p><p style='margin: 0'>Python Setup: Writing Python Programs</p></td></tr><tr><td style='padding: 15px;'><p>6. Running Python Programs</p><p style='margin: 0'>Python Setup: Running Python Programs</p></td></tr></tbody></table><br><h4>3. Strings and Variables</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Strings and Variables: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Variables and Strings</p><p style='margin: 0'>Strings and Variables: Variables and Strings</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions and Printing</p><p style='margin: 0'>Strings and Variables: Functions and Printing</p></td></tr><tr><td style='padding: 15px;'><p>4. String Methods</p><p style='margin: 0'>Strings and Variables: String Methods</p></td></tr><tr><td style='padding: 15px;'><p>5. String Concatenation</p><p style='margin: 0'>Strings and Variables: String Concatenation</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatting Strings</p><p style='margin: 0'>Strings and Variables: Formatting Strings</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Strings and Variables: Section Summary</p></td></tr><tr><td style='padding: 15px;'><p>8. Solutions to the Practice Exercises - #1 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #1 - Video</p></td></tr><tr><td style='padding: 15px;'><p>9. Solutions to the Practice Exercises - #2 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #2 - Video</p></td></tr><tr><td style='padding: 15px;'><p>10. Solutions to the Practice Exercises - #3 - Video</p><p style='margin: 0'>Strings and Variables: Solutions to the Practice Exercises - #3 - Video</p></td></tr></tbody></table><br><h4>4. Numbers and Math</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Numbers and Math: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Numbers, Numeric Operations, and Numeric Functions</p><p style='margin: 0'>Numbers and Math: Numbers, Numeric Operations, and Numeric Functions</p></td></tr><tr><td style='padding: 15px;'><p>3. Comments</p><p style='margin: 0'>Numbers and Math: Comments</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Numbers and Math: Section Summary</p></td></tr></tbody></table><br><h4>5. Booleans and Conditionals</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Booleans and Conditionals: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Booleans</p><p style='margin: 0'>Booleans and Conditionals: Booleans</p></td></tr><tr><td style='padding: 15px;'><p>3. Conditionals</p><p style='margin: 0'>Booleans and Conditionals: Conditionals</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Booleans and Conditionals: Section Summary</p></td></tr></tbody></table><br><h4>6. Functions</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Functions: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Functions, Part I</p><p style='margin: 0'>Functions: Functions, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions, Part II</p><p style='margin: 0'>Functions: Functions, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Functions: Section Summary</p></td></tr></tbody></table><br><h4>7. Lists</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Lists: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Lists</p><p style='margin: 0'>Lists: Lists</p></td></tr><tr><td style='padding: 15px;'><p>3. Slices</p><p style='margin: 0'>Lists: Slices</p></td></tr><tr><td style='padding: 15px;'><p>4. Exception Handling</p><p style='margin: 0'>Lists: Exception Handling</p></td></tr><tr><td style='padding: 15px;'><p>5. Loops</p><p style='margin: 0'>Lists: Loops</p></td></tr><tr><td style='padding: 15px;'><p>6. Sorting and Ranges</p><p style='margin: 0'>Lists: Sorting and Ranges</p></td></tr><tr><td style='padding: 15px;'><p>7. Section Summary</p><p style='margin: 0'>Lists: Section Summary</p></td></tr></tbody></table><br><h4>8. Dictionaries</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Dictionaries: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Dictionaries - Part I</p><p style='margin: 0'>Dictionaries: Dictionaries - Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Dictionaries - Part II</p><p style='margin: 0'>Dictionaries: Dictionaries - Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Dictionaries: Section Summary</p></td></tr></tbody></table><br><h4>9. Tuples</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Tuples: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Tuples</p><p style='margin: 0'>Tuples: Tuples</p></td></tr><tr><td style='padding: 15px;'><p>3. Section Summary</p><p style='margin: 0'>Tuples: Section Summary</p></td></tr></tbody></table><br><h4>10. Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Files: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Files, Part I</p><p style='margin: 0'>Files: Files, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Files, Part II</p><p style='margin: 0'>Files: Files, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Summary</p><p style='margin: 0'>Files: Section Summary</p></td></tr></tbody></table><br><h4>11. Modules</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr><tr><td style='padding: 15px;'><p>2. Modules, Part I</p><p style='margin: 0'>Modules: Modules, Part I</p></td></tr><tr><td style='padding: 15px;'><p>3. Modules, Part II</p><p style='margin: 0'>Modules: Modules, Part II</p></td></tr><tr><td style='padding: 15px;'><p>4. Section Overview</p><p style='margin: 0'>Modules: Section Overview</p></td></tr></tbody></table>

Programming

Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises and more. Learn Python 2 and Python 3.

Python for Beginners: Learn Python Programming (Python 3)

<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 

Big Data Analytics

Data Science

Data Skills

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

<strong>You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.</strong>
        <p>'Python is the future of artificial intelligence and machine learning.'-Adrian Rosebrock, author.

Python is the programming language most loved by developers, data scientists, software engineers, and even hackers.

This Python basic to advanced course covers the fundamental concepts of Python programming and ways to apply this to real-world applications. The course modules, lesson-end quizzes, and lesson-end projects collectively cover the training course topics such as data operations, strings, file I/O, exception handling, error handling, conditional statements, CGI programming, shell scripting, web scraping, and Django.

It also covers Logging Framework, Unittest Framework, Socket Programming, Tornado Framework, and Networking. You will also build a Python chat server.

By the end of this course, you will have the skills to create and send robust Python applications using off-the-rack libraries confidently.

The code bundle for this course is available at: https://github.com/PacktPublishing/Python-Programming</p>
        <h2>What You Will Learn</h2><p>Learn the basics of Python<br>Learn networking and database access using Python and CGI programming<br>Understand the Python debugger<br>Understand web scraping using Beautiful Soup<br>Learn about Python Unittest<br>Build a Python chat server</p>
        <h2>Audience</h2><p>This course is for new Python users looking to make the best of this powerful programming language-college freshers, software developers, programming enthusiasts, and technical leads. Python is widely used in artificial intelligence, so if you are planning to start your career in AI/machine learning then you need to have an understanding of Python as a prerequisite.</p>
        <h2>Approach</h2><p>This course comprises self-paced videos, demos, lesson-end quizzes, and a competitive course-end project. This will help you increase your in-depth understanding of Python's design, memory models, object-arranged highlights, and information, and be industry-prepared.</p>
        <h2>Key Features</h2><p>Go from a beginner level to a confident level of Python programming * Increase your in-depth understanding of Python's design, memory models, and more * Work on a competitive project at the end of the course</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/python-programming</p>
        <h2>About the Author</h2><h3>Learnkart Technology Private Limited</h3><p>Learnkart understands the importance of upskilling and its impact on you. They pride themselves in creating specialized e-learning courses that will not only prepare you for certification exams but also help you gain hands-on knowledge for real-world applications. Thousands of students have developed their skills with Learnkart through a variety of courses, such as PgMP, Risk Management Professional (RMP), speech recognition, Python, Amazon Web Services (AWS), and more. Learnkart regularly adds courses to its portfolio to lend more value to your learning experience.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction</h4><p></p><br><h4>2. Python Basics</h4><p></p><br><h4>3. Data Operations</h4><p></p><br><h4>4. Conditional Statements and Functions</h4><p></p><br><h4>5. Error Handling and File Operations</h4><p></p><br><h4>6. Shell Scripting and Django</h4><p></p><br><h4>7. Course End Project</h4><p></p>

You will master the fundamentals and more advanced principles of Python programming in this beginner's tutorial. This Python course covers every Python fundamental, including installation and more complex material such as Python data science.

Python Programming

<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 Analyst

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

Master Python 3.10 from the experts with this course and demonstrate programming wizardry in Python. Go from a geek to a wizard in no time with this well-structured video course and write Python code like a pro. Learn about the often-forgotten basics and special features of programming and Python in general.

The Ultimate Guide to Python Programming with Python 3.10

<strong>This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.</strong>
        <p>Python is one of the most popular computer programming languages and this hands-on course for beginners will make it easy for someone who wants to get started with learning Python.

This course takes you through the introduction to the course and the learning objectives. You will learn to get started with Replit and write your first Python program. You will learn to store, process, and compare information in Python as well as learn to tidy messy data. You will learn about variables, strings, dictionaries, indexing, and slicing in Python. Further, you will understand loops in Python along with break, continue, and else functions.

Moving ahead, you will understand error handling in Python, get to know the try-and-catch block, and learn to add resources to Replit. You will also understand function parameters and explore the difference between local and global variables, and positional and keyword parameters. You will learn to work with JSON and clean the data along with various numeric functions such as min, max, and sum.

By the end of the course, you will gain a solid foundation in Python programming and be able to write high-quality code in Python.

All resources and code files are placed here: https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>What You Will Learn</h2><p>Master Python programming fundamentals<br>Learn how to install Python to get up and running in no time<br>Learn how to process data to create Olympics Medals Tables<br>Solve multiple specific problems for a customer in the real world<br>Learn all about objects and variables in Python<br>Understand functions and function parameters in Python</p>
        <h2>Audience</h2><p>Whether you are a software engineer, software developer, computer programmer, web developer, transitioning into a new role, or simply someone who wants to understand what makes Python tick, this is the place to start. If you are preparing for a Python certification or job role, this course is for you.</p>
        <h2>Approach</h2><p>This course is video based course with no supporting document necessary. It takes you through the fundamentals of Python and teaches you how to use it with a simple tool so you can master the fundamentals in a day.</p>
        <h2>Key Features</h2><p>Be fluent in writing Python code and working with all the fundamentals of the language such as a list, string, function, dictionary, array, set, and much more * Learn to use Python's data analysis capabilities to analyze data from a real-world data source * A complete overview of the basics with exercises to test your knowledge of storing, processing, and storing information</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Bootcamp-in-a-day---Python-Programming-for-Beginners</p>
        <h2>About the Author</h2><h3>Paul Ashun</h3><p>Paul Ashun is the CEO, MD, and chief consultant at Pashun Consulting Ltd., specializing in Scrum coaching and leadership within major global organizations. They are the authors of over 10 books on Scrum such as The Power of Scrum in the Real World, Confessions of a Scrum Master as well as the upcoming Agile User Storybook.

He started as a software developer and over ten years later, he became an Agile portfolio manager. He is a certified Scrum Master and a PMO manager. He has led projects for the BBC, General Electric, Oracle, BSkyB, HiT Entertainment, and Razorfish. He has been coaching product owners and business analysts in international blue-chip companies, dating back to 1999, in Agile and Scrum practices such as writing user stories.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>This video is an introduction the course and what you can expect from the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Learning Objectives - Introduction</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>3. What Is Python?</p><p style='margin: 0'>This video explains what Python is and the need for Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Example</p><p style='margin: 0'>This video explains an example of a software engineer working in a media company to support the development team.</p></td></tr></tbody></table><br><h4>2. Getting Set Up</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Get Started with Replit</p><p style='margin: 0'>This video explains how to get started with Replit.</p></td></tr><tr><td style='padding: 15px;'><p>3. Writing Your First Python Program-Hello World</p><p style='margin: 0'>This video explains writing your first Python program-Hello World.</p></td></tr></tbody></table><br><h4>3. Storing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Objects and Variables</p><p style='margin: 0'>This video explains objects and variables in Python using an example of Olympic results.</p></td></tr><tr><td style='padding: 15px;'><p>3. Variable Names</p><p style='margin: 0'>This video explains variable names in Python and the rules to use them.</p></td></tr><tr><td style='padding: 15px;'><p>4. Numbers</p><p style='margin: 0'>This video explains the different types of numbers in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. Strings</p><p style='margin: 0'>This video explains strings in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Showing Output When Running Python</p><p style='margin: 0'>This video explains showing output when running Python.</p></td></tr></tbody></table><br><h4>4. Processing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Information</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Processing Information</p><p style='margin: 0'>This video explains processing information in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Indexing</p><p style='margin: 0'>This video explains indexing in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Slices</p><p style='margin: 0'>This video explains slices in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. String Functions</p><p style='margin: 0'>This video explains string functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. The 'input' Function</p><p style='margin: 0'>This video explains the input function in Python.</p></td></tr><tr><td style='padding: 15px;'><p>7. More String Operations</p><p style='margin: 0'>This video explains more string operations in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Converting Between Different Types</p><p style='margin: 0'>This video explains converting between different types.</p></td></tr></tbody></table><br><h4>5. Comparing Information</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Comparing Information</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Comparing Information</p><p style='margin: 0'>This video explains comparing information in Python.</p></td></tr></tbody></table><br><h4>6. Tidying Messy Data</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Tidying Messy Data</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Tidying Messy Data</p><p style='margin: 0'>This video explains how to tidy messy data.</p></td></tr></tbody></table><br><h4>7. Storing Multiple Things</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Storing Multiple Things</p><p style='margin: 0'>This video explains the learning objectives of this section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Storing Multiple Things</p><p style='margin: 0'>This video explains how to store multiple things.</p></td></tr><tr><td style='padding: 15px;'><p>3. Introducing Python Lists</p><p style='margin: 0'>This video explains lists in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Adding Items to a List</p><p style='margin: 0'>This video explains how to add items to a list.</p></td></tr><tr><td style='padding: 15px;'><p>5. Indexing and Slicing Lists</p><p style='margin: 0'>This video explains indexing and slicing lists.</p></td></tr><tr><td style='padding: 15px;'><p>6. Deleting Items in a List</p><p style='margin: 0'>This video explains how to delete items in a list.</p></td></tr><tr><td style='padding: 15px;'><p>7. Tuples</p><p style='margin: 0'>This video explains tuples in Python.</p></td></tr><tr><td style='padding: 15px;'><p>8. Long Lines in Python</p><p style='margin: 0'>This video explains long lines in Python.</p></td></tr><tr><td style='padding: 15px;'><p>9. Dictionaries</p><p style='margin: 0'>This video explains dictionaries in Python.</p></td></tr><tr><td style='padding: 15px;'><p>10. List Functions - More Ways to Work with Lists</p><p style='margin: 0'>This video explains list functions.</p></td></tr><tr><td style='padding: 15px;'><p>11. Sets</p><p style='margin: 0'>This video explains sets in Python.</p></td></tr></tbody></table><br><h4>8. Processing Collections</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Processing Collections</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. A Simple 'for' Loop</p><p style='margin: 0'>This video explains a simple for loop.</p></td></tr><tr><td style='padding: 15px;'><p>3. More Complex 'for' loops - 'break', 'continue', and 'else'</p><p style='margin: 0'>This video explains more complex 'for' loops.</p></td></tr><tr><td style='padding: 15px;'><p>4. The 'range' Function - How to Create a List of Numbers</p><p style='margin: 0'>This video explains how to create a list of numbers.</p></td></tr><tr><td style='padding: 15px;'><p>5. The 'while' Loop - Do Something for a While</p><p style='margin: 0'>This video explains the while loop.</p></td></tr></tbody></table><br><h4>9. Robust Programs - Handling Errors</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Robust Programs - Handling Errors</p><p style='margin: 0'>This video explains error handling in Python.</p></td></tr><tr><td style='padding: 15px;'><p>3. Look Before You Leap</p><p style='margin: 0'>This video explains one way of making the code more robust, which is called 'look before you leap'.</p></td></tr><tr><td style='padding: 15px;'><p>4. The Try and Except Block</p><p style='margin: 0'>This video explains the try and except block in Python.</p></td></tr><tr><td style='padding: 15px;'><p>5. The Catch-All Block</p><p style='margin: 0'>This video explains the catch-all block.</p></td></tr><tr><td style='padding: 15px;'><p>6. Adding Resources to Replit</p><p style='margin: 0'>This video explains how to add resources to Replit.</p></td></tr><tr><td style='padding: 15px;'><p>7. The Finally Block</p><p style='margin: 0'>This video explains the finally block.</p></td></tr></tbody></table><br><h4>10. Saving the Results - Working with Files</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Saving the Results - Working with Files</p><p style='margin: 0'>This video explains the learning objectives of the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Adding Bad Data</p><p style='margin: 0'>This video explains adding bad data.</p></td></tr><tr><td style='padding: 15px;'><p>3. Saving the Results - Working with Files</p><p style='margin: 0'>This video explains saving the results and working with files.</p></td></tr><tr><td style='padding: 15px;'><p>4. Binary File Modes</p><p style='margin: 0'>This video explains binary file modes.</p></td></tr><tr><td style='padding: 15px;'><p>5. Text File Modes</p><p style='margin: 0'>This video explains text file modes.</p></td></tr><tr><td style='padding: 15px;'><p>6. The With Statement</p><p style='margin: 0'>This video explains the with statement.</p></td></tr></tbody></table><br><h4>11. Breaking Up Larger Programs, Part 1</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 1</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. About Replit.config</p><p style='margin: 0'>This video explains replit.config.</p></td></tr><tr><td style='padding: 15px;'><p>3. Functions</p><p style='margin: 0'>This video explains functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Function Parameters</p><p style='margin: 0'>This video explains function parameters.</p></td></tr><tr><td style='padding: 15px;'><p>5. Local Versus Global Variables</p><p style='margin: 0'>This video explains local versus global variables.</p></td></tr><tr><td style='padding: 15px;'><p>6. Positional and Keyword Parameters</p><p style='margin: 0'>This video explains positional and keyword parameters.</p></td></tr><tr><td style='padding: 15px;'><p>7. Return Statement</p><p style='margin: 0'>This video explains the return statement.</p></td></tr><tr><td style='padding: 15px;'><p>8. Working With JSON</p><p style='margin: 0'>This video explains working with JSON.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Comments and Clear Code</p><p style='margin: 0'>This video explains code comments in Python.</p></td></tr></tbody></table><br><h4>12. Summarising and Presenting the Results</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Summarising and Presenting the Results</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Summarising and Presenting the Results Part 1</p><p style='margin: 0'>This video explains how to summarise the results using statistics.</p></td></tr><tr><td style='padding: 15px;'><p>3. Cleaning the Data</p><p style='margin: 0'>This video explains cleaning the data in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Summarising and Presenting the Results Part 2</p><p style='margin: 0'>This video explains the code in which we will get a sum of the scores of a country.</p></td></tr><tr><td style='padding: 15px;'><p>5. More Numeric Functions - Min, Max, Sum</p><p style='margin: 0'>This video explains min, max, and sum functions in Python.</p></td></tr><tr><td style='padding: 15px;'><p>6. Formatted Strings, f-strings</p><p style='margin: 0'>This video explains formatted strings and f-strings in Python.</p></td></tr></tbody></table><br><h4>13. Breaking Up Larger Programs, Part 2</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Breaking Up Larger Programs, Part 2</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Splitting Code into Modules</p><p style='margin: 0'>This video explains splitting code into modules.</p></td></tr><tr><td style='padding: 15px;'><p>3. Namespaces</p><p style='margin: 0'>This video explains namespaces in Python.</p></td></tr><tr><td style='padding: 15px;'><p>4. Using Our Modules</p><p style='margin: 0'>This video explains how to use modules in Python.</p></td></tr></tbody></table><br><h4>14. Getting Set Up on a PC or MAC</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Learning Objectives - Getting Set Up on a PC or MAC</p><p style='margin: 0'>This video explains the learning objectives of the section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Getting Set Up</p><p style='margin: 0'>This video explains how to set up Python on our systems.</p></td></tr><tr><td style='padding: 15px;'><p>3. Starting Python on Windows 10</p><p style='margin: 0'>This video explains how to start Python on Windows 10.</p></td></tr><tr><td style='padding: 15px;'><p>4. Starting a Terminal or Command Prompt on Windows</p><p style='margin: 0'>This video explains how to start a terminal or command prompt on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>5. Installing Python on Windows</p><p style='margin: 0'>This video explains the installation of Python on Windows.</p></td></tr><tr><td style='padding: 15px;'><p>6. Installing Python on MacOS</p><p style='margin: 0'>This video explains the installation on Python on MacOS.</p></td></tr><tr><td style='padding: 15px;'><p>7. Quick Python Test - Running Python</p><p style='margin: 0'>This video explains how to run a Python script.</p></td></tr><tr><td style='padding: 15px;'><p>8. Python Scripts and IDLE</p><p style='margin: 0'>This video explains Python scripts and IDE.</p></td></tr><tr><td style='padding: 15px;'><p>9. Code Editors and IDEs</p><p style='margin: 0'>This video explains code editors and IDEs.</p></td></tr><tr><td style='padding: 15px;'><p>10. Running Python Scripts</p><p style='margin: 0'>This video explains how to run Python scripts.</p></td></tr></tbody></table>

This course offers you the exact skills and principles you need to deliver a project using Python along with the tools you can use to create solid Python code. Master the language constructs, tools, and terminology with this carefully designed course for beginners.

Python Bootcamp in a Day - Python Programming for Beginners.

Network

Networking

Cisco

This course is an excellent resource to learn network programming using Python. With the help of practical examples, you will learn how to automate networks with Telnet, Secure Shell (SSH), Paramiko, Netmiko, and Network Automation and Programmability Abstraction Layer with Multivendor support (NAPALM).

Python Network Programming for Network Engineers (Python 3)

<p><strong>Introducing Coding using Python</strong></p>
<p>This course introduces your child to a very advanced, yet easy to learn programming languages &ndash; Python. It&rsquo;s safe to say that many apps we use today have been built using Python &ndash; Instagram Web, Netflix, YouTube, to name a few! This course teaches the fundamentals of coding, and creates a solid foundation to solve more complex real-life problems.</p>

Riva Learning

Programming Languages

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Choose this course if your child is new to Python or has done a few hours of Python before. Or, they have a good understanding of block-based platforms like Scratch, and would like to start exploring text-based programming languages.

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