<h2><strong>Course Overview:</strong></h2>

<p>Are you ready to unlock the world of digital possibilities by understanding the art and science of data analytics? We live in an era where data back every decision and every action requires insightful analysis. Clive Humby said, "Data is the new oil, and it's the new oil, so it's an invaluable resource for companies worldwide.</p>



<p>This comprehensive course covers a broad spectrum of data analytics, starting with an engaging <strong>'Introduction to the World of Data,' before delving into the fundamental components like the 'Basics of Data Analytics,' 'Statistics for Data Analytics,' and the 'Actions Taken in the Data Analysis Process.' Each subsequent module is carefully designed to guide you through various stages of data analytics. You'll explore 'Data Mining,' work with 'Excel for Data Analytics,' and discover 'Tools for Data Analytics.' The curriculum wraps up with a focus on 'Data-Analytic Thinking' and 'Data Visualisation.'</strong></p>



<p>Enrol today and start your journey to becoming a data analytics expert!</p>


<hr />

<h2><strong>Key Features of the Course:</strong></h2>
<p>This course comes with a<strong> CPD certificate</strong>, affirming your proficiency in data analytics. It <strong>offers 24/7 learning assistance</strong> to ensure you get the most out of your learning journey. The content is presented in easy-to-understand and <strong>engaging learning materials</strong>, carefully curated to make your journey in data analytics enlightening.</p>

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<h2><strong>Who is This Course For?</strong></h2>
<p>This course suits professionals seeking to leverage data analytics in their respective fields, individuals aspiring to venture into the data science arena, and students keen to acquire contemporary skills for the digital age.</p>


<hr />

<h2><strong>What You Will Learn:</strong></h2>

<p>Understand the fundamental concepts of data analytics.</p>



<ul>
<li>Apply statistical techniques to analyse large data sets.</li>



<li>Implement effective strategies for data collection and storage.</li>



<li>Master the art of data mining and extraction of valuable insights.</li>



<li>Utilise Excel and other tools effectively for data analysis.</li>



<li>Develop a data-analytic mindset for problem-solving.</li>



<li>Translate data insights into compelling visualisations.</li>
</ul>

<hr />

<h2><strong>Why Enrol in This Course:</strong></h2>
<p>This course will open doors to <strong>many opportunities</strong>. You will learn from <strong>top-notch professionals</strong>, utilise <strong>quality learning materials </strong>and have access to trending and <strong>recently updated curriculum.</strong></p>

<hr />

<h2><strong>Requirements:</strong></h2>

<ul>
<li>A basic understanding of computers</li>



<li>A willingness to learn</li>
</ul>

<hr />

<h2><strong>Career Path:</strong></h2>

<p>The expertise gained from this Data Analytics course can pave your way into a variety of professions, such as:</p>



<ul>
<li>Data Analyst (£30,000-£60,000)</li>



<li>Business Analyst (£35,000-£70,000)</li>



<li>Market Research Analyst (£27,000-£55,000)</li>



<li>Operations Analyst (£31,000-£62,000)</li>



<li>Quantitative Analyst (£45,000-£85,000)</li>



<li>Data Scientist (£50,000-£90,000)</li>



<li>Data Engineer (£35,000-£75,000)</li>
</ul>



<hr />

<h2><strong>Certification:</strong></h2>

<p>On successful completion of this course, <strong>you will receive a CPD certificate,</strong> testifying your mastery in the field of data analytics. With this recognition, you can confidently showcase your skills and expertise in the professional world.</p>



<p>Data analytics is a powerful tool that can be used to make better decisions, improve efficiency, and drive innovation. If you want to join this growing field, this course is for you!</p>


<hr />
<h2><strong>FAQ</strong></h2>



<h3><strong>What do you mean by data analytics?</strong></h3>



<p>Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to extract insights.</p>



<h3><strong>What data analytics actually do?</strong></h3>



<p>Data analytics helps businesses make better decisions by providing them with insights into their data. This can include insights into customer behavior, market trends, and product performance.</p>



<h3><strong>What are the 5 data analytics?</strong></h3>



<p>The 5 data analytics are:</p>



<ul>
<li><em>Descriptive analytics: </em>This type of analytics describes what has happened in the past.</li>



<li><em>Diagnostic analytics: </em>This type of analytics identifies the root cause of problems.</li>



<li><em>Predictive analytics: </em>This type of analytics predicts what will happen in the future.</li>



<li><em>Prescriptive analytics:</em> This type of analytics recommends actions to take based on the predictions.</li>



<li><em>Visual analytics: </em>This type of analytics uses visual representations of data to make it easier to understand.</li>
</ul>



<h3><strong>What is data analytics examples?</strong></h3>



<p>Here are some examples of data analytics:</p>



<ul>
<li>A retailer uses data analytics to track customer behaviour and identify trends.</li>



<li>A bank uses data analytics to predict which customers are likely to default on their loans.</li>



<li>A healthcare provider uses data analytics to identify patients who are at risk for certain diseases.</li>
</ul>



<h3><strong>What are 4 types of analytics?</strong></h3>



<p>The 4 types of analytics are:</p>



<ul>
<li><em>Descriptive analytics: </em>This type of analytics describes what has happened in the past.</li>



<li><em>Diagnostic analytics:</em> This type of analytics identifies the root cause of problems.</li>



<li><em>Predictive analytics: </em>This type of analytics predicts what will happen in the future.</li>



<li><em>Prescriptive analytics: </em>This type of analytics recommends actions to take based on the predictions.</li>
</ul>



<h3><strong>Why do we use data analytics?</strong></h3>



<p>We use data analytics to make better decisions, improve efficiency, and drive innovation.</p>



<p>Here are some of the benefits of using data analytics:</p>



<ul>
<li><em>Better decision-making:</em> Data analytics can help businesses make better decisions by providing them with insights into their data.</li>



<li><em>Improved efficiency:</em> Data analytics can help businesses improve efficiency by identifying areas where they can save time and money.</li>



<li><em>Driven innovation: </em>Data analytics can help businesses drive innovation by identifying new opportunities and trends.</li>
</ul> <h3>Course Curriculum</h3><div><p>13 sections • 13 lectures • 12:25:00 total length</p></div><div><div><div><div><div><div><div><p>•Introduction to the World of Data: 01:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Basics of Data Analytics: 00:40:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Statistics for Data Analytics: 01:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Actions Taken in the Data Analysis Process: 00:55:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Gathering the Right Information: 01:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Storing Data: 01:15:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Data Mining: 01:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Excel for Data Analytics: 01:20:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Tools for Data Analytics: 01:20:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Data-Analytic Thinking: 01:10:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Data Visualisation That Clearly Describes Insights: 00:45:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Data Visualization Tools: 01:00:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Assignment - Data Analytics: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Apex Learning

Business Analytics & Intelligence

Data Engineering

Big Data Analytics

Data Science

Data Skills

Data Analyst

Data Analytics

General Admission

<h2><strong>Course Overview:</strong></h2>
<span>According to a report by the World Economic Forum, data analysts and scientists are among the top emerging job roles. The "Data Analytics with Tableau" course is tailored to equip learners with the vital skills required to excel in this dynamic field. </span>

<span>The course delves into the intricacies of data visualisation and analysis using Tableau, a leading software in the industry. It's not merely about understanding data but transforming it into actionable insights that drive business decisions. The course is structured to provide a comprehensive understanding of various aspects of data analytics, including sales, HR, and shipping analytics.</span>

<span>Don't miss this opportunity to advance your career with cutting-edge skills in data analytics. Enrol in "Data Analytics with Tableau" now and embark on a journey of professional growth and endless possibilities!</span>

<hr />

<h2><strong>Key Features of the Course:</strong></h2>
<strong>CPD Certificate:</strong> Upon completion, you will receive a prestigious Continuing Professional Development (CPD) certificate, recognised globally for enhancing your career prospects.

<strong>24/7 Learning Assistance:</strong> Our dedicated support team ensures you receive prompt assistance, providing a seamless learning experience.

<hr />

<h2><strong>Who is This Course For?</strong></h2>
This course is <strong>tailored for individuals who aspire to become data analysts, business intelligence professionals, marketing strategists, or decision-makers seeking to leverage data effectively.</strong> No experience with Tableau or coding is required, making it accessible and engaging for beginners.

<hr />

<h2><strong>What You Will Learn:</strong></h2>
Data Analytics with Tableau, This course covers a wide range of topics, starting with <strong>connecting and preparing data, where you will learn how to import, clean, and transform data to make it analysis-ready within Tableau. Next, you will master the art of building insightful charts and visualisations using Tableau's rich set of tools, enabling you to communicate data trends and insights effectively. </strong>

Additionally, you will explore the <strong>creation of captivating headline cards and interactive dashboards, gaining expertise in presenting key information and facilitating data exploration. Real-world projects,</strong> including Discount Mart, Green Destinations, Super Store, Northwind Trade, and Tesla, will provide you with outstanding experience in applying Tableau to solve practical data challenges. Lastly, you will <strong>develop a solid understanding of database concepts and learn to create compelling data stories</strong> using Tableau's storytelling features. By the end of this course, you will have the skills and confidence to make data-driven decisions and communicate insights effectively using Tableau.

<hr />

<h2><strong>Why Enrol in This Course:</strong></h2>
Join the <strong>recently updated top-reviewed</strong> Data Analytics course with Tableau to keep you at the forefront of the field. <strong>Expand your analytical skills, unlock career opportunities, and stay current in the rapidly evolving world</strong> of data analytics by mastering Tableau, the industry-standard tool for visual analytics.

<hr />

<h2><strong>Requirements:</strong></h2>
No prior experience with Tableau or coding is required. All you need is a computer with internet access, a curious mind, and a passion for exploring the world of data analytics.

<hr />

<h2><strong>Career Path:</strong></h2>
By acquiring data analytics skills with Tableau, you open doors to exciting career paths, such as:
<ul>
 	<li>Data Analyst (Average Salary: £35,000 - £45,000)</li>
 	<li>Business Intelligence Analyst (Average Salary: £40,000 - £55,000)</li>
 	<li>Marketing Analyst (Average Salary: £30,000 - £40,000)</li>
 	<li>Financial Analyst (Average Salary: £35,000 - £50,000)</li>
 	<li>Data Visualization Specialist (Average Salary: £40,000 - £60,000)</li>
 	<li>Database Administrator (Average Salary: £40,000 - £55,000)</li>
 	<li>Data Scientist (Average Salary: £45,000 - £70,000)</li>
</ul>

<hr />

<h2><strong>Certification:</strong></h2>
Upon successful completion of the course, you <strong>will receive a CPD certificate,</strong> internationally recognised for its validation of your expertise in data analytics with Tableau.

Enrol now and embark on a transformative journey to become a proficient data analyst and visualisation expert with Tableau!

<hr /> <h3>Course Curriculum</h3><div><p>9 sections • 41 lectures • 06:47:00 total length</p></div><div><div><div><div><div><div><div><p>•Introduction to the Course: 00:02:00</p></div><div><div><p>•What is Tableau? An Introduction to Tableau: 00:03:00</p></div><div><div><p>•How this course is Structured: 00:01:00</p></div><div><div><p>•Installing the Free Full Version of Tableau: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Project Brief for Discount Mart: 00:03:00</p></div><div><div><p>•Connecting and Preparing Data for Discount Mart: 00:15:00</p></div><div><div><p>•Building Charts on Tableau for Discount Mart (Part 1): 00:33:00</p></div><div><div><p>•Building Charts on Tableau for Discount Mart (Part 2): 00:16:00</p></div><div><div><p>•Creating Headline Cards on Tableau for Discount Mart: 00:10:00</p></div><div><div><p>•Building and Publishing Dashboards on Tableau: 00:15:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Project Brief for Green Destinations: 00:02:00</p></div><div><div><p>•Connecting and Preparing Data for Green Destinations: 00:09:00</p></div><div><div><p>•Building Charts on Tableau (Part 1) for Green Destinations: 00:28:00</p></div><div><div><p>•Building Charts on Tableau (Part 2) for Green Destinations: 00:08:00</p></div><div><div><p>•Creating Headline Cards on Tableau: 00:15:00</p></div><div><div><p>•Building a Dashboard for Green Destinations: 00:12:00</p></div><div><div><p>•Publish your Dashboard to Tableau Public: 00:02:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Project Brief for Super Store: 00:02:00</p></div><div><div><p>•Connecting and Preparing Data for Super Store: 00:17:00</p></div><div><div><p>•Building Charts on Tableau (Part 1) for Super Store: 00:34:00</p></div><div><div><p>•Building Charts on Tableau (Part 2) for Super Store: 00:23:00</p></div><div><div><p>•Building a Dashboard: 00:18:00</p></div><div><div><p>•Publish your Dashboard to Tableau Public: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Project Brief for Northwind Trade: 00:03:00</p></div><div><div><p>•Connecting and Preparing Data for Northwind Trade: 00:14:00</p></div><div><div><p>•Building Charts on Tableau for Northwind Trade: 00:37:00</p></div><div><div><p>•Building and Publishing Dashboards for Northwind Trade: 00:10:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Project Brief for Tesla: 00:02:00</p></div><div><div><p>•Creating a Data Source through Google Sheet Functions: 00:05:00</p></div><div><div><p>•Connect to the Data for Tesla: 00:04:00</p></div><div><div><p>•Building Charts on Tableau for Tesla: 00:22:00</p></div><div><div><p>•Building Headline Cards: 00:09:00</p></div><div><div><p>•Building a Tesla Dashboard: 00:08:00</p></div><div><div><p>•Publish your Dashboard to Tableau Public: 00:03:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Introduction to Database Concepts: 00:01:00</p></div><div><div><p>•Understanding Relational Databases: 00:04:00</p></div><div><div><p>•Relationships of Database Entities: 00:02:00</p></div><div><div><p>•Primary and Foreign Keys: 00:01:00</p></div><div><div><p>•Data types and Naming Conventions: 00:04:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Creating Stories on Tableau: 00:05:00</p></div></div></div></div></div><div><div><div><div><div><div><p>•Resources - Data Analytics with Tableau: 00:00:00</p></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Tableau Desktop Specialist

Data Analytics with Tableau

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

Online Course Marketing

Online Course Creation

Apache Spark

Professional Skills Course (PSC)

Building Big Data Pipelines with PySpark MongoDB and Bokeh

<p>Explore the fundamental ideas of Data Science &amp; Machine Learning using R in a detailed course. This covers important areas like handling data, creating visuals, making reports, developing web apps, and getting introduced to machine learning. Acquire the essential skills to kickstart a thriving career in the world of Data Science and Machine Learning.</p><p><strong>Key Takeaways:</strong></p><ul><li>Grasp the basics of Data Science and Machine Learning using R.</li><li>Analyse and manipulate data using various data types and structures in R.</li><li>Make attractive visualizations to understand complex datasets better.</li><li>Become skilled at crafting reports using R Markdown for effective data communication.</li><li>Gain proficiency in creating reports using R Markdown for efficient data communication.</li><li>Explore the basics of Machine Learning and its applications in solving real-world problems.</li><li>Develop the knowledge and confidence needed to pursue a fulfilling career in Data Science.</li></ul><p><strong>Our Service for the </strong><strong>Data Science &amp; Machine Learning with R</strong><strong> Includes: </strong></p><ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS Endorsed Certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul><p><strong>Course Curriculum of </strong><strong>Data Science &amp; Machine Learning with R</strong></p><ul><li>Data Science and Machine Learning Course Intro</li><li>Getting Started with R</li><li>Data Types and Structures in R</li><li>Intermediate R</li><li>Data Manipulation in R</li><li>Data Visualization in R</li><li>Creating Reports with R Markdown</li><li>Building Webapps with R Shiny</li><li>Introduction to Machine Learning</li><li>Starting A Career in Data Science</li></ul><p><strong>Assessment &amp; Certification</strong></p><p>Students need to finish and turn in a thorough assignment covering all topics in our curriculum. Our expert tutor will review the assignment to make sure it meets Quality Learning Systems (QLS) standards. Once the assessment is successful and passes a quality check, students will be awarded a certificate for completing the Data Science &amp; Machine Learning with R.</p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>After the course, participants will receive an endorsed certificate as proof of successful completion. The learner may request a certificate if they complete all course assessments.</p><p><strong>Endorsement:</strong></p><p>This certified course is approved by QLS as a well-qualified, non-regulated training program. A trainer will be available to address your inquiries, including guidance on your pathways to higher education.</p><h2>
        
        <div>CPD</div>
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                                        20 CPD hours / points
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                                            Accredited by CPD Quality Standards
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        <div>Who is this course for?</div>
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                            <ul><li>Individuals interested in entering the field of Data Science and Machine Learning.</li><li>Professionals looking to enhance their data manipulation and analysis skills using R.</li><li>Graduates seeking to gain a competitive edge in the job market with specialized knowledge in Data Science.</li><li>Those who want to explore the applications of Machine Learning and its impact on various industries.</li></ul>
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        <div>Requirements</div>
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                            <p>There are no specific requirements for enrolling in the Data Science &amp; Machine Learning with Rcourse. Therefore, learners do not need previous qualifications to sign up for this course.</p>
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        <div>Career path</div>
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                            <ul><li>Data Analyst: £25,000 - £45,000 per annum</li><li>Machine Learning Engineer: £35,000 - £65,000 per annum</li><li>Data Scientist: £40,000 - £70,000 per annum</li><li>Business Intelligence Analyst: £30,000 - £55,000 per annum</li><li>Data Engineer: £35,000 - £60,000 per annum</li><li>AI Research Scientist: £50,000 - £90,000 per annum</li></ul>
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                                    <h4> Advanced Diploma in Data Science &amp; Machine Learning with R at QLS Level 7</h4>
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            Hard copy certificate -
            £75
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Kingston Open College

Learning & Development

Learning Support Assistant (LSA)

Diploma in Management Studies (DMS)

Level 7 QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support

Diploma in Data Science & Machine Learning with R - Level 7 (QLS Endorsed)

<p><strong>Data Analyst (Data Analytics) - CPD Certified</strong></p><p>Have you ever wondered how companies get insights from massive volumes of data to stay competitive and make wise decisions? If so, then participate in our exclusive Data Analytics Course.</p><p>This Data Analytics Course describes the fundamentals of data, statistics, and an introduction to data analytics. How to get data and where to find it is explained in the Data Analytics Course. Moreover, this Data Analytics Course covers data cleansing, preprocessing, and exploratory data analysis (EDA). Additionally, the Data Analytics Course provides an introduction to Python and Excel for data analytics. This thorough Data Analytics Course includes lessons on data wrangling with Pandas (python) and data visualisation using Matplotlib and Seaborn (python).</p><p>Enrol in our Data Analytics Course to study the fundamentals of statistical analysis and machine learning.</p><p><strong>Special Offers of this Data Analyst (Data Analytics) Course</strong></p><ul><li>Data Analyst (Data Analytics) Course includes a FREE PDF Certificate.</li><li>Lifetime access to this Data Analyst (Data Analytics) Course</li><li>Instant access to this Data Analyst (Data Analytics) Course</li><li>Get FREE Tutor Support from Monday to Friday in this Data Analyst (Data Analytics) Course</li></ul><p><strong>Courses are included in this Data Analyst (Data Analytics) Course</strong></p><ul><li><strong>Course 01: </strong>Cyber Security</li><li><strong>Course 02:</strong> GDPR</li><li><strong>Course 03:</strong> Business Administration</li></ul><p><strong>[ Note: Free PDF certificate as soon as completing the Data Analyst (Data Analytics) Course]</strong></p> <p><em><strong>Course Curriculum of Data Analyst (Data Analytics) - CPD Certified</strong></em></p><ul><li>Module 1: Introduction to Data Analytics</li><li>Module 2: Basics of Data and Statistics</li><li>Module 3: Data Collection and Sources</li><li>Module 4: Data Cleaning and Preprocessing</li><li>Module 5: Exploratory Data Analysis (EDA)</li><li>Module 6: Introduction to Excel for Data Analytics</li><li>Module 7: Introduction to Python for Data Analytics</li><li>Module 8: Data Wrangling with Pandas (Python)</li><li>Module 9: Data visualisation with Matplotlib and Seaborn (Python)</li><li>Module 10: Introduction to Basic Statistical Analysis</li><li>Module 11: Introduction to Machine Learning</li><li>Module 12: Capstone Project - Exploratory Data Analysis</li></ul><p><strong>Assessment Method</strong></p><p>After completing each module of the Data Analyst (Data Analytics) Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks.</p><p><strong>Certification</strong></p><p>After completing the MCQ/Assignment assessment for this Data Analyst (Data Analytics) course, you will be entitled to a Certificate of Completion from Training Tale. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99.</p> <h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p><strong>Data Analyst (Data Analytics) - CPD Certified</strong></p><p>For business professionals, entrepreneurs, or anybody else looking to have a thorough grasp of data analysis in a commercial setting, this Data Analytics Course is ideal.</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are <strong>no specific</strong> requirements for <strong>Data Analyst (Data Analytics) </strong>Course because it does not require any advanced knowledge or skills.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p><strong>Data Analyst (Data Analytics) - CPD Certified</strong></p><p>This Data Analytics Course will assist you in obtaining positions as a business analyst, marketing analyst, data analyst, and in related fields.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Training Tale

Certified in Data Protection (CDP)

Data Analyst (Data Analytics) - CPD Certified

A course by  Sekhar Metla  IT Industry Expert RequirementsNo prior technical experience is required! All you need a computer!No SQL experience needed. You will learn everything you need to knowNo software is required in advance of the course (all software used in the course is free) Audience  Beginner SQL, Data Science and Analytics - developers curious about SQL Career  Anyone who wants to generate new income streams  Anyone who works with data analytics, or databases!  Anyone who wants to become Business intelligence developer  Anyone who wants to start their own business or become freelance  Anyone who wants to become a Data Science developer  If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information  Someone who wants to learn skills that give them the potential to earn near SIX figures!<h3> Audience</h3><ul><li> <span></span> <span>Beginner SQL, Data Science and Analytics - developers curious about SQL Career</span></li><li> <span></span> <span>Anyone who wants to generate new income streams</span></li><li> <span></span> <span>Anyone who works with data analytics, or databases!</span></li><li> <span></span> <span>Anyone who wants to become Business intelligence developer</span></li><li> <span></span> <span>Anyone who wants to start their own business or become freelance</span></li><li> <span></span> <span>Anyone who wants to become a Data Science developer</span></li><li> <span></span> <span>If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information</span></li><li> <span></span> <span>Someone who wants to learn skills that give them the potential to earn near SIX figures!</span></li></ul>

Xpert Learning

Learn MySQL from scratch for Data Science and Analytics

<div><h2> About Course</h2><div><p><strong>Data Science and Data Analytics with Python: A Comprehensive Course for Beginners</strong></p><p><strong>Unlock the power of data and gain insights that drive informed decisions with this comprehensive course on data science and data analytics with Python.</strong></p><p><span>This course is designed for beginners of all skill levels,</span><span> with no prior programming experience required.</span><span> You will learn the essential skills to embark on your data-driven journey,</span><span> including:</span></p><ul><li><span>Data manipulation with NumPy and Pandas</span></li><li><span>Data visualization with Matplotlib and Seaborn</span></li><li><span>Statistical analysis with Python</span></li><li><span>Machine learning and artificial intelligence</span></li></ul><p><span>You will also gain hands-on experience with real-world data projects,</span><span> allowing you to apply your newfound knowledge to solve real-world problems.</span></p><p><strong>By the end of this course, you will be able to:</strong></p><ul><li><span>Understand the fundamentals of data science and data analytics</span></li><li><span>Apply Python to manipulate,</span><span> visualize,</span><span> and analyze data</span></li><li><span>Use Python to build machine learning and artificial intelligence models</span></li><li><span>Solve real-world data problems</span></li></ul><p><span>This course is the perfect launchpad for your data science journey.</span><span> Whether you are looking to pivot your career,</span><span> enhance your skill set,</span><span> or simply quench your curiosity,</span><span> this course will give you the foundation you need to succeed.</span></p>  <p><strong>Enroll today and start exploring the fascinating world of data science together!</strong></p></div></div> <div><h3> What Will You Learn?</h3><ul><li> <span></span> <span>Understand the fundamentals of data science and data analytics</span></li><li> <span></span> <span>Apply Python to manipulate, visualize, and analyze data</span></li><li> <span></span> <span>Use Python to build machine learning and artificial intelligence models</span></li><li> <span></span> <span>Solve real-world data problems</span></li></ul></div><div><h3> Course Content</h3><div><div><h4> Introduction to Python Data Science</h4><div><div><ul><li><div> <span></span><h5> Introduction to Python Data Science</h5></div><div> </div></li><li><div> <span></span><h5> Environment Setup</h5></div><div> </div></li></ul></div></div></div><div><h4> Data Cleaning Packages</h4><div><div><ul><li><div> <span></span><h5> Working with the Numpy package</h5></div><div> </div></li><li><div> <span></span><h5> Working with Pandas Data science package</h5></div><div> </div></li></ul></div></div></div><div><h4> Data Visualization Packages</h4><div><div><ul><li><div> <span></span><h5> Working with Matplotlib Data Science package (Part - 1)</h5></div><div> </div></li><li><div> <span></span><h5> Working with Matplotlib Data Science (Part - 2)</h5></div><div> </div></li></ul></div></div></div></div></div>A course by  Uditha Bandara  Microsoft Most Valuable Professional (MVP) RequirementsBeginners level knowledge for working with Data .Programming knowledge not required. Audience  Beginners with no prior programming experience  Anyone interested in learning data science and data analytics<h3> Audience</h3><ul><li> <span></span> <span>Beginners with no prior programming experience</span></li><li> <span></span> <span>Anyone interested in learning data science and data analytics</span></li></ul>

Data Science and Data Analytics with Python

A course by  Sekhar Metla  IT Industry Expert RequirementsNo programming experience needed. You will learn everything you need to knowNo software is required in advance of the course (all software used in the course is free)No pre-knowledge is required - you will learn from basic Audience  Beginner JavaScript, Python and MSSQL developers curious about data science development  Anyone who wants to generate new income streams  Anyone who wants to build websites  Anyone who wants to become financially independent  Anyone who wants to start their own business or become freelance  Anyone who wants to become a Full stack web developer<h3> Audience</h3><ul><li> <span></span> <span>Beginner JavaScript, Python and MSSQL developers curious about data science development</span></li><li> <span></span> <span>Anyone who wants to generate new income streams</span></li><li> <span></span> <span>Anyone who wants to build websites</span></li><li> <span></span> <span>Anyone who wants to become financially independent</span></li><li> <span></span> <span>Anyone who wants to start their own business or become freelance</span></li><li> <span></span> <span>Anyone who wants to become a Full stack web developer</span></li></ul>

Salesforce Certified JavaScript Developer

Microsoft AZ-303

Learn Data Science with Python, JavaScript, and Microsoft SQL

<div id="course-pills-1">Duration<p>1 Days</p><p>6 CPD hours</p>This course is intended for<p>This course is intended for:<br />A technical audience at an intermediate level</p>Overview<p>Using Amazon SageMaker, this course teaches you how to:<br />Prepare a dataset for training.<br />Train and evaluate a machine learning model.<br />Automatically tune a machine learning model.<br />Prepare a machine learning model for production.<br />Think critically about machine learning model results</p><p>In this course, learn how to solve a real-world use case with machine learning and produce actionable results using Amazon SageMaker. This course teaches you how to use Amazon SageMaker to cover the different stages of the typical data science process, from analyzing and visualizing a data set, to preparing the data and feature engineering, down to the practical aspects of model building, training, tuning and deployment.</p></div><div id="course-pills-2"><h4>Day 1</h4><ul><li>Business problem: Churn prediction<br />Load and display the dataset<br />Assess features and determine which Amazon SageMaker algorithm to use<br />Use Amazon Sagemaker to train, evaluate, and automatically tune the model<br />Deploy the model<br />Assess relative cost of errors</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Practical Data Science with Amazon SageMaker training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Practical Data Science with Amazon SageMaker course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Nexus Human

Trainers Course

Practical Data Science with Amazon SageMaker

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful.</p>Overview<p>Overview of data science and machine learning at scale<br />Overview of the Hadoop ecosystem<br />Working with HDFS data and Hive tables using Hue<br />Introduction to Cloudera Data Science Workbench<br />Overview of Apache Spark 2<br />Reading and writing data<br />Inspecting data quality<br />Cleansing and transforming data<br />Summarizing and grouping data<br />Combining, splitting, and reshaping data<br />Exploring data<br />Configuring, monitoring, and troubleshooting Spark applications<br />Overview of machine learning in Spark MLlib<br />Extracting, transforming, and selecting features<br />Building and evaluating regression models<br />Building and evaluating classification models<br />Building and evaluating clustering models<br />Cross-validating models and tuning hyperparameters<br />Building machine learning pipelines<br />Deploying machine learning models<br />Spark, Spark SQL, and Spark MLlib<br />PySpark and sparklyr<br />Cloudera Data Science Workbench (CDSW)<br />Hue</p><p>This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful.</p></div><div id="course-pills-2"><h4>Overview of data science and machine learning at scale</h4><h4>Overview of the Hadoop ecosystem</h4><h4>Working with HDFS data and Hive tables using Hue</h4><h4>Introduction to Cloudera Data Science Workbench</h4><h4>Overview of Apache Spark 2</h4><h4>Reading and writing data</h4><h4>Inspecting data quality</h4><h4>Cleansing and transforming data</h4><h4>Summarizing and grouping data</h4><h4>Combining, splitting, and reshaping data</h4><h4>Exploring data</h4><h4>Configuring, monitoring, and troubleshooting Spark applications</h4><h4>Overview of machine learning in Spark MLlib</h4><h4>Extracting, transforming, and selecting features</h4><h4>Building and evauating regression models</h4><h4>Building and evaluating classification models</h4><h4>Building and evaluating clustering models</h4><h4>Cross-validating models and tuning hyperparameters</h4><h4>Building machine learning pipelines</h4><h4>Deploying machine learning models</h4></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Cloudera Data Scientist Training training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the Cloudera Data Scientist Training course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Hadoop

Cloudera Data Scientist Training

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure.</p><p></p><p></p><p>In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage.</p><p></p>Prerequisites<p></p><p>Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions.</p>  <li>AZ-900T00 Microsoft Azure Fundamentals</li>  <li>DP-900T00 Microsoft Azure Data Fundamentals</li><p></p></div><div id="course-pills-2"><h3>1 - Introduction to data engineering on Azure</h3> <ul> <li>What is data engineering</li> <li>Important data engineering concepts</li> <li>Data engineering in Microsoft Azure</li> </ul> <h3>2 - Introduction to Azure Data Lake Storage Gen2</h3> <ul> <li>Understand Azure Data Lake Storage Gen2</li> <li>Enable Azure Data Lake Storage Gen2 in Azure Storage</li> <li>Compare Azure Data Lake Store to Azure Blob storage</li> <li>Understand the stages for processing big data</li> <li>Use Azure Data Lake Storage Gen2 in data analytics workloads</li> </ul> <h3>3 - Introduction to Azure Synapse Analytics</h3> <ul> <li>What is Azure Synapse Analytics</li> <li>How Azure Synapse Analytics works</li> <li>When to use Azure Synapse Analytics</li> </ul> <h3>4 - Use Azure Synapse serverless SQL pool to query files in a data lake</h3> <ul> <li>Understand Azure Synapse serverless SQL pool capabilities and use cases</li> <li>Query files using a serverless SQL pool</li> <li>Create external database objects</li> </ul> <h3>5 - Use Azure Synapse serverless SQL pools to transform data in a data lake</h3> <ul> <li>Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement</li> <li>Encapsulate data transformations in a stored procedure</li> <li>Include a data transformation stored procedure in a pipeline</li> </ul> <h3>6 - Create a lake database in Azure Synapse Analytics</h3> <ul> <li>Understand lake database concepts</li> <li>Explore database templates</li> <li>Create a lake database</li> <li>Use a lake database</li> </ul> <h3>7 - Analyze data with Apache Spark in Azure Synapse Analytics</h3> <ul> <li>Get to know Apache Spark</li> <li>Use Spark in Azure Synapse Analytics</li> <li>Analyze data with Spark</li> <li>Visualize data with Spark</li> </ul> <h3>8 - Transform data with Spark in Azure Synapse Analytics</h3> <ul> <li>Modify and save dataframes</li> <li>Partition data files</li> <li>Transform data with SQL</li> </ul> <h3>9 - Use Delta Lake in Azure Synapse Analytics</h3> <ul> <li>Understand Delta Lake</li> <li>Create Delta Lake tables</li> <li>Create catalog tables</li> <li>Use Delta Lake with streaming data</li> <li>Use Delta Lake in a SQL pool</li> </ul> <h3>10 - Analyze data in a relational data warehouse</h3> <ul> <li>Design a data warehouse schema</li> <li>Create data warehouse tables</li> <li>Load data warehouse tables</li> <li>Query a data warehouse</li> </ul> <h3>11 - Load data into a relational data warehouse</h3> <ul> <li>Load staging tables</li> <li>Load dimension tables</li> <li>Load time dimension tables</li> <li>Load slowly changing dimensions</li> <li>Load fact tables</li> <li>Perform post load optimization</li> </ul> <h3>12 - Build a data pipeline in Azure Synapse Analytics</h3> <ul> <li>Understand pipelines in Azure Synapse Analytics</li> <li>Create a pipeline in Azure Synapse Studio</li> <li>Define data flows</li> <li>Run a pipeline</li> </ul> <h3>13 - Use Spark Notebooks in an Azure Synapse Pipeline</h3> <ul> <li>Understand Synapse Notebooks and Pipelines</li> <li>Use a Synapse notebook activity in a pipeline</li> <li>Use parameters in a notebook</li> </ul> <h3>14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics</h3> <ul> <li>Understand hybrid transactional and analytical processing patterns</li> <li>Describe Azure Synapse Link</li> </ul> <h3>15 - Implement Azure Synapse Link with Azure Cosmos DB</h3> <ul> <li>Enable Cosmos DB account to use Azure Synapse Link</li> <li>Create an analytical store enabled container</li> <li>Create a linked service for Cosmos DB</li> <li>Query Cosmos DB data with Spark</li> <li>Query Cosmos DB with Synapse SQL</li> </ul> <h3>16 - Implement Azure Synapse Link for SQL</h3> <ul> <li>What is Azure Synapse Link for SQL?</li> <li>Configure Azure Synapse Link for Azure SQL Database</li> <li>Configure Azure Synapse Link for SQL Server 2022</li> </ul> <h3>17 - Get started with Azure Stream Analytics</h3> <ul> <li>Understand data streams</li> <li>Understand event processing</li> <li>Understand window functions</li> </ul> <h3>18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics</h3> <ul> <li>Stream ingestion scenarios</li> <li>Configure inputs and outputs</li> <li>Define a query to select, filter, and aggregate data</li> <li>Run a job to ingest data</li> </ul> <h3>19 - Visualize real-time data with Azure Stream Analytics and Power BI</h3> <ul> <li>Use a Power BI output in Azure Stream Analytics</li> <li>Create a query for real-time visualization</li> <li>Create real-time data visualizations in Power BI</li> </ul> <h3>20 - Introduction to Microsoft Purview</h3> <ul> <li>What is Microsoft Purview?</li> <li>How Microsoft Purview works</li> <li>When to use Microsoft Purview</li> </ul> <h3>21 - Integrate Microsoft Purview and Azure Synapse Analytics</h3> <ul> <li>Catalog Azure Synapse Analytics data assets in Microsoft Purview</li> <li>Connect Microsoft Purview to an Azure Synapse Analytics workspace</li> <li>Search a Purview catalog in Synapse Studio</li> <li>Track data lineage in pipelines</li> </ul> <h3>22 - Explore Azure Databricks</h3> <ul> <li>Get started with Azure Databricks</li> <li>Identify Azure Databricks workloads</li> <li>Understand key concepts</li> </ul> <h3>23 - Use Apache Spark in Azure Databricks</h3> <ul> <li>Get to know Spark</li> <li>Create a Spark cluster</li> <li>Use Spark in notebooks</li> <li>Use Spark to work with data files</li> <li>Visualize data</li> </ul> <h3>24 - Run Azure Databricks Notebooks with Azure Data Factory</h3> <ul> <li>Understand Azure Databricks notebooks and pipelines</li> <li>Create a linked service for Azure Databricks</li> <li>Use a Notebook activity in a pipeline</li> <li>Use parameters in a notebook</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans DP-203T00 Data Engineering on Microsoft Azure training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the DP-203T00 Data Engineering on Microsoft Azure course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-700

DP-203T00 Data Engineering on Microsoft Azure

<p><strong>24 Hour Flash Deal **25-in-1 </strong><strong>Data Engineering Advanced Diploma </strong><strong>Mega Bundle**</strong></p><p><strong> </strong><strong>Data Engineering Advanced Diploma </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>Data Engineering Advanced Diploma</strong> package online with <strong>Studyhub </strong>through our online learning platform. The Data Engineering Advanced Diploma bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass.</p><p>This <strong>Data Engineering Advanced Diploma </strong>course provides complete 360-degree training on Data Engineering Advanced Diploma. You'll get not one, not two, not three, but <strong>twenty-five </strong>Data Engineering Advanced Diploma courses included in this course. Plus Studyhub's signature <strong>Forever Access</strong> is given as always, meaning these Data Engineering Advanced Diploma courses are yours for as long as you want them once you enrol in this course</p><p><strong>This Data Engineering Advanced Diploma Bundle consists the following career oriented courses:</strong></p><ul><li>Course 01: Data Analysis</li><li>Course 02: Data Science &amp; Machine Learning with R</li><li>Course 03: Data Analytics with Tableau</li><li>Course 04: SQL Programming</li><li>Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</li><li>Course 06: Data Analytics</li><li>Course 07: Python Data Science with Numpy, Pandas and Matplotlib</li><li>Course 08: Google Analytics</li><li>Course 09: Business Intelligence and Data Mining</li><li>Course 10: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li>Course 11: JavaScript Functions</li><li>Course 12: Data Protection and Data Security (GDPR) Training Certification</li><li>Course 13: GDPR Training</li><li>Course 14: Diploma in Python Programming</li><li>Course 15: Data Center Training Essentials: General Introduction</li><li>Course 16: Quick Data Science Approach from Scratch</li><li>Course 17: Diploma in Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 18: Master JavaScript with Data Visualization</li><li>Course 19: Data Analysis and Forecasting in Excel</li><li>Course 20: AWS Certified Solutions Architect Associate Preparation</li><li>Course 21: Statistical Analysis Course</li><li>Course 22: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 23: Learn MySQL from Scratch for Data Science and Analytics</li><li>Course 24: Data Analysis &amp; Forecasting</li><li>Course 25: Data Structure</li></ul> <p>The <strong>Data Engineering Advanced Diploma </strong>course has been prepared by focusing largely on Data Engineering Advanced Diploma career readiness. It has been designed by our Data Engineering Advanced Diploma 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 Data Engineering Advanced Diploma Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Data Engineering Advanced Diploma 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 Data Engineering Advanced Diploma Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Data Engineering Advanced Diploma Elementary modules, allowing our students to grasp each lesson quickly.</p><p>The Data Engineering Advanced Diploma 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>Data Engineering Advanced Diploma </strong><strong>bundle, you really hit the jackpot. Here's what you get:</strong></p><ul><li>Step by step Data Engineering Advanced Diploma lessons</li><li>One to one assistance from Data Engineering Advanced Diplomaprofessionals if you need it</li><li>Innovative exams to test your knowledge after the Data Engineering Advanced Diplomacourse</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 Data Engineering Advanced Diploma 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 Data Engineering Advanced Diploma certificate and transcript on the next working day</li><li>Easily learn the Data Engineering Advanced Diploma 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>Data Engineering Advanced Diploma </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 Data Engineering Advanced Diploma</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>To participate in this <strong>Data Engineering Advanced Diploma </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 Data Engineering Advanced Diploma</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>You will be able to kickstart your <strong>Data Engineering Advanced Diploma </strong>career because this course includes various courses as a bonus. This Data Engineering Advanced Diploma is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Data Engineering Advanced Diploma 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

Diploma in Education & Training (DET)

European Computer Driving Licence (ECDL)

Diploma in Professional Studies (DPS)

Nursing Diploma

Data Engineering Advanced Diploma - CPD Certified

<p><strong>24 Hours Left! Don't Let Winter Sale Slip Away - Enrol Now!</strong></p><p><strong>With over 100,000 civil engineers in the UK, the demand for data-savvy professionals is high. According to a recent study, 72% of UK civil engineering firms are investing in data analytics to enhance decision-making processes, with data engineering experiencing a 40% year-on-year growth.</strong></p><p>This surge outpaces other tech sectors, highlighting the critical role of data engineers in big data and advanced analytics. This Data Engineering bundle empowers you to capitalise on this growing trend, equipping you with the proficiency to extract valuable insights from vast datasets, optimise project planning, and enhance overall efficiency.</p><p>Embark on a transformative journey with our Data Engineering Bundle, thoroughly crafted to bridge the skill gap in one of the UK's fastest-growing job markets. Our bundle offers a comprehensive exploration into the world of data, equipping you with the analytical prowess to harness, process, and visualise data effectively. From mastering SQL programming to delving into the complexities of machine learning with R, this bundle is your gateway to becoming a data engineering maestro.</p><p>In today's data-driven landscape, possessing a robust set of analytical skills is no longer a luxury but a necessity. With an emphasis on Data engineering, our courses are designed to foster a deep understanding of data analytics, visualisation, and mining, ensuring you can convert raw data into strategic insights that propel business decisions.</p><p>Seize the opportunity to be at the helm of innovation and become the architect of tomorrow's data landscape with our Data Engineering Bundle. Join us now!</p><p><strong>Courses are Included in This Data Engineering Bundle:</strong></p><ul><li><strong> Course 01: </strong>Introduction to Data Analysis</li><li><strong> Course 02: </strong>Data Science &amp; Machine Learning with R</li><li><strong> Course 03: </strong>Data Analytics with Tableau</li><li><strong> Course 04: </strong>SQL Programming Masterclass</li><li><strong> Course 05: </strong>Excel Pivot table for Data analytics</li><li><strong> Course 06: </strong>Data analytics with Excel</li><li><strong> Course 07: </strong>Python for Data Analysis</li><li><strong> Course 08: </strong>Basic Google Data Studio</li><li><strong> Course 09: </strong>Business Intelligence and Data Mining Masterclass</li><li><strong> Course 10: </strong>Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong> Course 11: </strong>JavaScript Functions for Data Analyst</li><li><strong> Course 12: </strong>GDPR Data Protection Level 5</li><li><strong> Course 13: </strong>GDPR Training</li><li><strong> Course 14: </strong>Learn Programming with Python</li><li><strong> Course 15: </strong>Data Center Training Essentials: General Introduction</li><li><strong> Course 16: </strong>Quick Data Science Approach from Scratch</li><li><strong> Course 17: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong> Course 18: </strong>Master JavaScript with Data Visualization</li><li><strong> Course 19: </strong>Excel Data Tools and Data Management</li><li><strong> Course 20: </strong>Cloud Computing Essentials for Data Analysis</li></ul><p><strong>Learning Outcomes of Data Engineering Bundle:</strong></p><ul><li>Gain proficiency in SQL for complex database management and analytics tasks.</li><li>Master R for data science and machine learning applications in various industries.</li><li>Develop advanced Excel skills, including data analytics and pivot table expertise.</li><li>Acquire hands-on experience with Tableau for effective data visualisation.</li><li>Learn Python programming essentials for data analysis and engineering solutions.</li><li>Understand Google Data Studio to create dynamic reports and dashboards.</li></ul><p><strong>Why Choose Our Data Engineering Course?</strong></p><ul><li>FREE Data Engineering certificate accredited</li><li>Get a free student ID card with Data Engineering Training</li><li>Get instant access to this Data Engineering course.</li><li>Learn Data Engineering from anywhere in the world</li><li>The Data Engineering is affordable and simple to understand</li><li>The Data Engineering is an entirely online, interactive lesson with voiceover audio</li><li>Lifetime access to the Data Engineering course materials</li><li>The Data Engineering comes with 24/7 tutor support</li></ul> <p><strong>Start your learning journey straightaway with our Data Engineering Bundle!</strong></p><p>This Data Engineering bundle will equip you with the skills and knowledge to become a data-savvy civil engineer. You will learn how to collect, analyze, and interpret data to improve infrastructure projects and processes. This Data Engineering bundle includes courses on data analysis, data science, machine learning, SQL programming, Excel pivot tables, Excel data analytics, Python for data analysis, Google Data Studio, business intelligence, data mining, GDPR data protection, JavaScript functions for data analysts, and Python programming.</p><p><strong>Assessment Process of Data Engineering</strong></p><p>Once you have completed all the courses in the Data Engineering bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        200 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 Data Engineering bundle is suitable for everyone. Also, our Data Engineering Bundle is perfect for:</p><ul><li>Aspiring data engineers</li><li>Business intelligence analysts</li><li>Data-driven marketers</li><li>IT professionals</li><li>Statistics enthusiasts</li><li>Career changers</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise in the Data Engineering Bundle.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Data Engineering bundle will allow you to kickstart or take your career to the next stage in the related sector such as:</p><ul><li><strong>Data Analyst</strong></li><li><strong>BI Developer</strong></li><li><strong>ML Engineer</strong></li><li><strong>Data Scientist</strong></li><li><strong>Database Administrator</strong></li><li><strong>Data Strategist</strong></li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Digital Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>If you are an <strong>international student</strong>, then you have to pay an additional <strong>10 GBP</strong> for each certificate as an international delivery charge.</p></div>

                        </div>

Academy for Health and Fitness

Data Engineering - CPD Certified

<p>If you aim to enhance your Data Engineering skills, our comprehensive Data Engineering course is perfect for you. Designed for success, this Data Engineering course covers everything from basics to advanced topics in Data Engineering.</p><p>Each lesson in this Data Engineering course is crafted for easy understanding, enabling you to become proficient in Data Engineering. Whether you are a beginner or looking to sharpen your existing skills, this Data Engineering is the ideal choice.</p><p>With our Data Engineering exclusive bundle, you will get<strong> a PDF Certificate, PDF Transcript and Digital Student ID Card (worth £50) Absolutely FREE. </strong></p><p><strong>Courses are Included in This Data Engineering Bundle:</strong></p><ul><li><strong>Course 01: </strong>Diploma in Data Analysis Fundamentals</li><li><strong>Course 02: </strong>Python for Data Analysis</li><li><strong>Course 03: </strong>Data Analytics with Tableau</li><li><strong>Course 04: </strong>SQL Masterclass: SQL For Data Analytics</li><li><strong>Course 05: </strong>Basic Google Data Studio</li><li><strong>Course 06: </strong>Data Analysis and Forecasting in Excel</li></ul><p><strong>Why Choose Our Data Engineering Course?</strong></p><ul><li>FREE Data Engineering certificate accredited</li><li>Get a free student ID card with Data Engineering Training</li><li>Get instant access to this Data Engineering course.</li><li>Learn Data Engineering from anywhere in the world</li><li>The Data Engineering is affordable and simple to understand</li><li>The Data Engineering is an entirely online, interactive lesson with voiceover audio</li><li>Lifetime access to the Data Engineering course materials</li><li>The Data Engineering comes with 24/7 tutor support</li></ul><p>So enrol now in this Data Engineering Today to advance your career!</p> <p>Start your learning journey straightaway!</p><p>This Data Engineering's curriculum has been designed by Data Engineering experts with years of Data Engineering experience behind them. The Data Engineering course is extremely dynamic and well-paced to help you understand Data Engineering with ease. You'll discover how to master the Data Engineering skill while exploring relevant and essential topics.</p><p><strong>Assessment Process</strong></p><p>Once you have completed all the courses in the Data Engineering bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        60 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 Data Engineering bundle is suitable for everyone.</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Data Engineering bundle will allow you to kickstart or take your career in the related sector to the next stage.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited  Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited   Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            £29
        </p>
            <div><p>If you are an international student, you will be required to pay an additional fee of <strong>10 GBP</strong> for international delivery, and <strong>4.99 GBP</strong> for delivery within the UK, for each certificate</p></div>

                        </div>

Certificate in Further Education & Training (Cert Ed)

Continuous Professional Development (CPD)

Data Engineering (Online) - CPD Certified

<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>

Azure Machine Learning

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

<p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">✿ 17</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;in 1 "Data Engineering: Big Data &amp; Google Cloud Architect" CPD Certified Diploma ✿</strong></p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Are you interested in pursuing a career in data analysis? Do you want to gain the skills and knowledge necessary to excel in the field of data analytics? Look no further! Our comprehensive&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect Diploma</strong>&nbsp;bundle offers a thorough overview of the essential concepts, techniques, and tools required to succeed in this exciting and rapidly growing field.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect Diploma training offers :</strong></p><ul style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">17&nbsp;</strong>Free PDF Certificates</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Lifetime&nbsp;</strong>Access</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">24/7</strong>&nbsp;Learner Support</li></ul><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Enter into the world of data engineering with our "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>" bundle. Designed for both beginner and those with foundational knowledge, this Data Engineering: Big Data &amp; Google Cloud Architect bundle will elevate your understanding of big data and cloud architecture. With the proliferation of data in today&#39;s digital landscape, mastering these skills is crucial for anyone aiming to make a significant impact in the tech industry.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">The&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect&nbsp;</strong>diploma training provides a comprehensive curriculum that covers everything from the basics of data engineering to advanced topics in Google Cloud, Big Query, Data Structures, SQL/MySQL Database etc. Through engaging modules, you&#39;ll gain insight into the intricacies of data processing, storage solutions, and cloud infrastructure.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">By completing this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect&nbsp;</strong>training, you&#39;ll be equipped with the knowledge needed to architect robust data solutions using Google Cloud. You&#39;ll understand the principles behind big data management and how to apply them in real-world contexts. Whether you&#39;re looking to enhance your career prospects or pivot into a new field, this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;bundle offers the tools and understanding required to succeed in the ever-evolving data engineering landscape.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect Bundle Consists the Following Courses:</strong></p><ol style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;">Data Engineering: Google Big Query &amp; Google Cloud</li><li fr-original-style="" style="box-sizing: border-box;">Mastering MySQL Database Development</li><li fr-original-style="" style="box-sizing: border-box;">Data Analytics with Tableau</li><li fr-original-style="" style="box-sizing: border-box;">Data Structures : Easy to Advanced</li><li fr-original-style="" style="box-sizing: border-box;">JavaScript for Data Structures</li><li fr-original-style="" style="box-sizing: border-box;">SQL Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Microsoft SQL Queries</li><li fr-original-style="" style="box-sizing: border-box;">Python Programming Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Python Data Science - For Beginners</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning in Flutter: Complete Guide</li><li fr-original-style="" style="box-sizing: border-box;">Data Science &amp; Machine Learning with R Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Python: Higher Order Functions</li><li fr-original-style="" style="box-sizing: border-box;">Linux File System</li><li fr-original-style="" style="box-sizing: border-box;">LabVIEW &ndash; Step By Step Beginners Guide</li><li fr-original-style="" style="box-sizing: border-box;">SQL NoSQL Big Data and Hadoop All in One Course</li><li fr-original-style="" style="box-sizing: border-box;">Basic Data Analysis Training</li><li fr-original-style="" style="box-sizing: border-box;">Data Analysis: Getting Results with PowerBI</li></ol><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes of Data Engineering: Big Data &amp; Google Cloud Architect Diploma</strong></p><ul style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;">Understand the fundamentals of data engineering.</li><li fr-original-style="" style="box-sizing: border-box;">Gain proficiency in Google Cloud Platform services.</li><li fr-original-style="" style="box-sizing: border-box;">Master techniques for big data processing.</li><li fr-original-style="" style="box-sizing: border-box;">Learn to design scalable data architecture.</li><li fr-original-style="" style="box-sizing: border-box;">Implement effective data storage solutions.</li><li fr-original-style="" style="box-sizing: border-box;">Analyse and optimise data workflows.</li><li fr-original-style="" style="box-sizing: border-box;">Develop skills in managing cloud-based data systems.</li><li fr-original-style="" style="box-sizing: border-box;">Comprehend security measures for data protection.</li><li fr-original-style="" style="box-sizing: border-box;">Explore methods for data integration and migration.</li><li fr-original-style="" style="box-sizing: border-box;">Apply knowledge to design and implement data solutions.</li></ul><h2 fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted">Certificates</h2><div fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;"><p fr-original-style=" color: var(--text);" 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;">Digital Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This bundle comes with a free <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited PDF Copy certificate+ Transcript&nbsp;</strong>(according to the Learner&#39;s Choice). For additional courses, it costs <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;14.99</strong> per copy.</p><p fr-original-style=" color: var(--text);" 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;">Hard Copy Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Get <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited Hard Copy certificate</strong> for <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;19.99</strong> per copy. The delivery fee for the Hard Copy certificate, however, is free for UK residents, whereas it costs <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;10</strong> for international students as delivery charge.</p><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;diploma training is open to everyone. Specially designed for:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Aspiring data engineers.</li><li fr-original-style="" style="box-sizing: border-box;">IT professionals seeking to specialise in data engineering.</li><li fr-original-style="" style="box-sizing: border-box;">Individuals interested in big data technologies.</li><li fr-original-style="" style="box-sizing: border-box;">Those aiming to understand Google Cloud architecture.</li><li fr-original-style="" style="box-sizing: border-box;">Career changers looking to enter the tech industry.</li></ul></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;bundle, you don&#39;t need any formal qualifications.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Take your time to finish this Data Science Engineering: Data Analytics &amp; Database Management training, there is no deadline for the bundle.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;training can lead you towards successful careers in these related fields. Such as:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Data Engineer: &pound;40,000 - &pound;70,000</li><li fr-original-style="" style="box-sizing: border-box;">Cloud Solutions Architect: &pound;50,000 - &pound;90,000</li><li fr-original-style="" style="box-sizing: border-box;">Big Data Analyst: &pound;35,000 - &pound;60,000</li><li fr-original-style="" style="box-sizing: border-box;">Data Architect: &pound;60,000 - &pound;100,000</li><li fr-original-style="" style="box-sizing: border-box;">Business Intelligence Developer: &pound;40,000 - &pound;75,000</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning Engineer: &pound;50,000 - &pound;85,000</li></ul></section></div>

Skill Up

Google Cloud

CPD Certified | 17-in-1 Diploma Bundle | 170 CPD Points | Free PDF & Transcript Certificate | Lifetime Access


Data Engineering: Big Data & Google Cloud Architect Diploma - CPD Certified


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					<div><p>Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this step-by-step Data Engineering : Google BigQuery &amp; Google Cloud training course. This Data Engineering : Google BigQuery &amp; Google Cloud course for Consistent Profits has been specially designed to help learners gain a good command of Data Engineering : Google BigQuery &amp; Google Cloud, providing them with a solid foundation of knowledge to understand relevant professionals' job roles.</p><p>Through this Data Engineering : Google BigQuery &amp; Google Cloud course, you will gain a theoretical understanding of Data Engineering : Google BigQuery &amp; Google Cloud and others relevant subjects that will increase your employability in this field, help you stand out from the competition, and boost your earning potential in no time.</p><p>Not only that, but this Data Engineering : Google BigQuery &amp; Google Cloud training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. </p><p>This course is fully CPD-accredited and broken down into several manageable modules, making it ideal for aspiring professionals.</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
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                                <h2>Course Curriculum</h2>
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					<td colspan="4"><strong>Unit 01: Introduction</strong></td>
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					<td>Module 01: Welcome to This Course</td><td><span>🕐 00:01:00</span></td>
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					<td>Module 02: How to Get Maximum Value from This Course</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 03: Course Structure &amp; Coverage</td><td><span>🕐 00:02:00</span></td>
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					<td>Module 04: Technology in This Course</td><td><span>🕐 00:02:00</span></td>
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					<td>Module 01: Data Warehouse</td><td><span>🕐 00:07:00</span></td>
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					<td>Module 02: Start With BigQuery</td><td><span>🕐 00:05:00</span></td>
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					<td>Module 03: BigQuery Web User Interface</td><td><span>🕐 00:04:00</span></td>
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					<td colspan="4"><strong>Unit 02: Introducing Data Warehouse &amp; BigQuery</strong></td>
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					<td>Module 01: First Data</td><td><span>🕐 00:04:00</span></td>
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					<td>Module 02: Basic Exploration</td><td><span>🕐 00:16:00</span></td>
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					<td>Module 03: Functions</td><td><span>🕐 00:14:00</span></td>
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					<td>Module 07: Converting Data Types</td><td><span>🕐 00:07:00</span></td>
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					<td>Module 01: Data Quality</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 02: Clean &amp; Transform</td><td><span>🕐 00:13:00</span></td>
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					<td>Module 04: Upgrading From Sandbox Account</td><td><span>🕐 00:01:00</span></td>
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					<td>Module 05: Clean &amp; Transform With Dataprep</td><td><span>🕐 00:25:00</span></td>
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					<td>Module 06: Scheduled Query</td><td><span>🕐 00:04:00</span></td>
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					<td>Module 07: Analyze Data</td><td><span>🕐 00:05:00</span></td>
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					<td>Module 08: Data Visualization</td><td><span>🕐 00:06:00</span></td>
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					<td colspan="4"><strong>Unit 04: Data Flow BasicUnit 05: Diving into BigQuery</strong></td>
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					<td>Module 01: Essential BigQuery</td><td><span>🕐 00:15:00</span></td>
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					<td>Module 02: Load Data into BigQuery (Part 1) - The Basic</td><td><span>🕐 00:36:00</span></td>
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					<td>Module 04: Load Data into BigQuery (Part 2) - Handling Errors</td><td><span>🕐 00:22:00</span></td>
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					<td>Module 05: Load Data into BigQuery (Part 3) - Efficient Load</td><td><span>🕐 00:14:00</span></td>
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					<td>Module 06: Load Data into BigQuery (Part 4) - From Your Data to BigQuery</td><td><span>🕐 00:23:00</span></td>
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					<td>Module 07: Load Data into BigQuery (Part 5) - In Microservice Architecture</td><td><span>🕐 00:20:00</span></td>
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					<td>Module 08: Tip: Message Broker Overview</td><td><span>🕐 00:08:00</span></td>
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					<td>Module 09: Load Data into BigQuery (Part 6) - Recurring Load</td><td><span>🕐 00:12:00</span></td>
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					<td colspan="4"><strong>Unit 06: Virtual Data using View</strong></td>
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					<td>Module 01: BigQuery View</td><td><span>🕐 00:06:00</span></td>
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					<td colspan="4"><strong>Unit 07: Data Visualization</strong></td>
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					<td>Module 01: What We Will Learn</td><td><span>🕐 00:01:00</span></td>
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					<td>Module 02: Google Sheets &amp; BigQuery</td><td><span>🕐 00:10:00</span></td>
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					<td>Module 03: Google Data Studio</td><td><span>🕐 00:13:00</span></td>
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					<td colspan="4"><strong>Unit 08: Intermediate Query</strong></td>
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					<td>Module 01: Using Join - Theory</td><td><span>🕐 00:04:00</span></td>
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					<td>Module 02: Using Join - Hands On</td><td><span>🕐 00:16:00</span></td>
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					<td>Module 03: Union &amp; Intersect</td><td><span>🕐 00:06:00</span></td>
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					<td>Module 04: Basic Statistical Functions</td><td><span>🕐 00:05:00</span></td>
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Computing Skills

Digital Skills

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

Data Engineering : Google BigQuery & Google Cloud

<p><strong>Develop in-demand skills for a better future with a super-saver bundle just </strong><strong>£129</strong><strong> and instantly save </strong><strong>£1570</strong><strong>!</strong></p><p><strong>This bundle includes 1 best selling course endorsed by the Quality Licence Scheme with 4 additional CPD-accredited courses, expert assistance and course assessment. Enjoy 12 months of access to this bundle of courses FREE of charge and master a range of in-demand professional skills to advance your career. No hidden costs - simply enrol this Data Engineering with Google BigQuery &amp; Google Cloud bundle.</strong></p><p>This Course package includes:</p><ul><li>Data Engineering with Google BigQuery &amp; Google Cloud with endorsed certificate</li><li>4 additional CPD accredited courses -<br /><ol><li>Linux for Cloud and DevOps Engineers</li><li>SQL NoSQL Big Data and Hadoop</li><li>Linux Shell Scripting</li><li>Linux Security and Hardening</li></ol></li></ul><p>Dedicated tutor support and 24/7 customer support are available to all students with this premium quality bundle. Get the help you require and the answers to all your queries throughout the comprehensive syllabus of this Data Engineering with Google BigQuery &amp; Google Cloud bundle.</p><p>This premium online course ensures your professional development with endorsement from Quality Licence Scheme and also CPD accreditation. You'll have the privilege of learning in your own time, at your own pace and earning an accredited certification.</p><p>With this bundle program, success becomes a lot easier that enables you to monetise your skills. This Data Engineering with Google BigQuery &amp; Google Cloud bundle is designed for both part-time and full-time students and can be completed at a pace that suits your learning style.</p><p><strong>Why People Enrol this Bundle from One Education:</strong></p><ul><li>Receive a Quality Licence Scheme-endorsed certificate upon successful completion of the bundle</li><li>4 additional CPD accredited courses to enrich your knowledge and skills</li><li>Learning materials of our Course contains engaging voiceover and visual elements for your comfort</li><li>Get 24/7 access to all bundle content for a full year</li><li>Complete the Course at your own pace</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li><li>Efficient assessments and instant results upon completion of our Course</li></ul><p><strong>Course Curriculum:</strong></p><p>Here is a curriculum breakdown of the course:</p><ul><li>Unit 01: Introduction</li><li>Unit 02: Introducing Data Warehouse &amp; BigQuery</li><li>Unit 03: First Exploration</li><li>Unit 04: Data Flow Basic</li><li>Unit 05: Diving into BigQuery</li><li>Unit 06: Virtual Data using View</li><li>Unit 07: Data Visualization</li><li>Unit 08: Intermediate Query</li></ul><p><strong>How is the Course assessed?</strong></p><p>To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score displayed for your perusal. For each test, the pass mark will be set to 60%.</p><p>When all tests have been successfully passed, you will be able to claim a certificate endorsed by the Quality Licence Scheme.</p><p><strong>Certificate of Achievement</strong></p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>After successfully completing the Course, learners will get an endorsed certificate (included with the course) delivered right at their doorstep by post, without paying a single penny! Note that learners residing outside the UK have to pay a £10 postage charge.</p><p><strong>For Additional Courses</strong></p><p>For the additional Quality Licence Scheme endorsed certificates from the additional courses, you have to pay the fees based on level of each course:</p><ul><li>No Level- £29</li><li>Level 1 - £29</li><li>Level 2 - £59</li><li>Level 3 - £69</li><li>Level 4 - £79</li><li>Level 5 - £99</li><li>Level 6 - £109</li><li>Level 7 - £119</li></ul><p><strong>CPD Accredited Certification from One Education</strong></p><p>After successfully completing the courses under this Course, you will also qualify for CPD Accredited Certificates for each of the courses. Certification is available in PDF format, at the cost of £9, or a hard copy can be sent to you via post at £15.</p><h2>
        
        <div>Who is this course for?</div>
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                            <p>The bundle training is ideal for highly motivated individuals who want to enhance their professional skills and train for the job they want! This Course also suits people aspiring for some in-depth knowledge on this topic and keep up to date with the latest information.</p><p>Study the Data Engineering with Google BigQuery &amp; Google Cloud bundle today and increase your professional skillset from the comfort of your home!</p>
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        <div>Requirements</div>
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                            <p>There are no formal entry requirements for the Course, with enrollment open to anyone!<strong> Anyone and everyone</strong> with a knack for learning can enrol on this course without any hesitation.</p><p>Learn online from any internet device, including your computer, tablet or smartphone. Study when it suits you and complete the Data Engineering with Google BigQuery &amp; Google Cloud bundle at your own pace.</p><p>All students must have a passion for learning and literacy, as well as being over the age of 16.</p>
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        <div>Career path</div>
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                            <p>Studying the Course is designed to help you get the job of your dreams, or even that promotion you've always wanted. Learn the essential skills and knowledge you need to exceed in your professional life with the help &amp; guidance from our Course.</p>
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One Education

Data Engineering with Google BigQuery & Google Cloud Course

<p><strong>Level 6 Diploma in Data Engineering with Google BigQuery &amp; Google Cloud</strong></p><p>Turn your skills into a competitive advantage that is recognised globally and endorsed for quality by QLS, the UK's most reputable high-quality course auditor.</p><p>Hone your skills in data analytics, big data, machine learning, data pipelines, and artificial intelligence! Create infrastructure for collecting, managing, and transforming raw data into interpretable information by data scientists and business analysts. Develop your ability to create data processing solutions, make data accessible, and evaluate and optimise organisational performance. Enrol to advance your Cloud career and show your proficiency in one of the most sought-after industries in the market.</p><p>This premium QLS endorsed Data Engineering with Google BigQuery &amp; Google Cloud course comes with intensive study modules, dedicated tutor assistance, customer support, flexible learning opportunity and a globally recognised certification all-together. Thus, successful completion of our Data Engineering with Google BigQuery &amp; Google Cloud course will give you limitless opportunities anywhere and everywhere, since the value of QLS endorsed courses are quite high, to say the least!!</p><p>What's more, the quality of our first-class course is uncompromising for both you and us. You will be taught the richest of materials from this exquisite Data Engineering with Google BigQuery &amp; Google Cloud course, enabling you to open up a vast world of opportunities for you to grasp and gain success from. For the price point, this course is actually an absolute steal! It's an investment you absolutely do not want to miss out on!</p><p>So, why delay any longer? Benefit your career progression by joining us today and distinguish yourself as, unquestionably, the most skilled one in your workplace!</p><p><strong>Learning Outcomes for Level 6 Diploma in Data Engineering with Google BigQuery &amp; Google Cloud:</strong></p><ol><li>Develop a comprehensive understanding of data engineering principles and concepts.</li><li>Utilise Google BigQuery and Google Cloud for efficient data warehousing and analysis.</li><li>Explore and manipulate data effectively using BigQuery for insightful data-driven decisions.</li><li>Apply data flow techniques to design and optimise data pipelines.</li><li>Implement virtual data solutions using views for efficient data organisation and retrieval.</li><li>Create visually appealing and informative data visualisations to communicate insights effectively.</li></ol><p><strong>Why Learn with us: </strong></p><p>We, as one of the leading e-learning service providers across the globe, strive to provide all our learners with the best e-learning experience possible that can make a real difference in their career progression.</p><p><strong>Our Service for the </strong><strong>Data Engineering with Google BigQuery &amp; Google Cloud</strong><strong> Includes:</strong></p><ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS Endorsed Certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul><p><strong>Course Curriculum of </strong><strong>Data Engineering with Google BigQuery &amp; Google Cloud</strong></p><ul><li><strong>Unit 01: </strong>Introduction<strong><br /></strong></li><li><strong>Unit 02: </strong>Introducing Data Warehouse &amp; BigQuery<strong><br /></strong></li><li><strong>Unit 03: </strong>First Exploration<strong><br /></strong></li><li><strong>Unit 04: </strong>Data Flow Basic<strong><br /></strong></li><li><strong>Unit 05: </strong>Diving into BigQuery<strong><br /></strong></li><li><strong>Unit 06: </strong>Virtual Data using View<strong><br /></strong></li><li><strong>Unit 07: </strong>Data Visualisation<strong><br /></strong></li><li><strong>Unit 08: </strong>Intermediate Query</li></ul><p><strong>Assessment &amp; Certification</strong></p><p>Learners must submit a comprehensive summerised assignment on all the units that will be assessed by our expert tutor if all the learning outcomes are met as per the standard set by QLS. After the quality check, learner will be provided with the Data Engineering with Google BigQuery &amp; Google Cloud certificate.</p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme.</strong></p><p>An endorsed certificate will be issued to learners at the end of the course as recognition of course completion. Provided that learner completes all the assessment of a course can claim for certificate.</p><p><strong>Endorsement:</strong></p><p>QLS endorsed this certified course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions including your progression routes into further higher education.</p><h2>
        
        <div>CPD</div>
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                                        10 CPD hours / points
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                                            Accredited by CPD Quality Standards
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        <div>Who is this course for?</div>
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                        <div id="who_is_this_course_for">
                            <p>Our course is open for everyone. This Data Engineering with Google BigQuery &amp; Google Cloud is ideal for those who aspire to gain in-depth knowledge &amp; efficient skill to embark into the relevant sector as a promising potential.</p>
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        <div>Requirements</div>
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                        <div id="requirements">
                            <p>There are no formal requirements needed for this Data Engineering with Google BigQuery &amp; Google Cloud course. So learners do not require any prior qualifications to enrol in this course.</p>
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        <div>Career path</div>
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                            <p><strong>Here are few job roles related to Data Engineering with Google BigQuery &amp; Google Cloud </strong>(Salary-per annum):</p><ol><li>Data Engineer (£50,000 - £55,000)</li><li>Data Analyst: (£38,000 - £40,000)</li><li>Data Scientist (£40,000 - £70,000)</li><li>Data Architect (£80,000 - £90,000)</li><li>Cloud Data Engineer (£50,000 - £80,000)</li><li>Big Data Engineer (£50,000 - £80,000)</li></ol>
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ELS (Effective Learning Service)

ICDL (International Certification of Digital Literacy)

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

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