Name: QUALIFI Level 7 Diploma in Information Technology
Price: 908.64 GBP
Availability: InStock

<p>Tired of browsing and searching for a <strong>Analytics Training </strong>course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed.</p><p>After surveying thousands of learners just like you and considering their valuable feedback, this all-in<strong>-</strong>one Analytics Training bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Analytics Training course that will enhance your skills and prepare you for the competitive job market.</p><p>Also, our experts are available for answering your queries on Analytics Training and help you along your learning journey. Advanced audio-visual learning modules of these Analytics Training courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once.</p><p>Furthermore, to help you showcase your expertise in Analytics Training, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.</p><p><strong>This Analytics Training Bundle Consists of the following Premium courses: </strong></p><ul><li><strong> </strong><strong>Course 01: </strong>Introduction to Data Analysis</li><li><strong> </strong><strong>Course 02: </strong>Google Data Studio: Data Analytics</li><li><strong> </strong><strong>Course 03: </strong>Data Analytics with Tableau</li><li><strong> </strong><strong>Course 04: </strong>Python for Data Analysis</li><li><strong> </strong><strong>Course 05: </strong>Complete Microsoft Power BI 2021</li><li><strong> </strong><strong>Course 06: </strong>Fundamentals of Business Analysis</li><li><strong> </strong><strong>Course 07: </strong>Statistical Analysis</li><li><strong> </strong><strong>Course 08: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong> </strong><strong>Course 09: </strong>RCA: Root Cause Analysis</li><li><strong> </strong><strong>Course 10: </strong>Master JavaScript with Data Visualization</li><li><strong> </strong><strong>Course 11: </strong>CompTIA CySA+ Cybersecurity Analyst (CS0-002)</li><li><strong> </strong><strong>Course 12: </strong>Electronic Document Management System Step</li><li><strong> </strong><strong>Course 13: </strong>Quick Data Science Approach from Scratch</li><li><strong> </strong><strong>Course 14: </strong>IT For Recruiters</li></ul><p>Enrol now in Analytics Training to advance your career, and use the premium study materials from Apex Learning.</p><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Analytics Training expertise and essential knowledge, which will assist you in reaching your goal.</p><p><strong>Curriculum:</strong></p><ul><li>Module 01: Introduction</li><li>Module 02: Agenda and Principles of Process Management</li><li>Module 03: The Voice of the Process</li><li>Module 04: Working as One Team for Improvement</li><li>Module 05: Exercise: The Voice of the Customer</li><li>Module 06: Tools for Data Analysis</li><li>Module 07: The Pareto Chart</li><li>Module 08: The Histogram</li><li>Module 09: The Run Chart</li><li>Module 10: Exercise: Presenting Performance Data</li><li>Module 11: Understanding Variation</li><li>Module 12: The Control Chart</li><li>Module 13: Control Chart Example</li><li>Module 14: Control Chart Special Cases</li><li>Module 15: Interpreting the Control Chart</li><li>Module 16: Control Chart Exercise</li><li>Module 17: Strategies to Deal with Variation</li><li>Module 18: Using Data to Drive Improvement</li><li>Module 19: A Structure for Performance Measurement</li><li>Module 20: Data Analysis Exercise</li><li>Module 21: Course Project</li><li>Module 22: Test your Understanding<strong><br /></strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

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

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

                        <div id="requirements">
                            <p>Our Analytics Training course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

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

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

                        </div>

Apex Learning

Analytics Training - CPD Certified

General Admission

<strong>Throughout this course, you will learn everything you need to know about linear and non-linear regression, regression modeling, and Stata. By the end of this course, you will be able to understand and be confident in interpreting complex types of data using Stata.</strong>
        <p>Learning and applying new statistical techniques can often be a daunting experience. This is especially true when one engages with complex datasets that do not allow for easy click-and-go analysis but require a deeper level of understanding of analytical methodologies.

This course will focus on providing an overview of data analytics using Stata and will prepare you to handle real-life complex datasets with ease.

In this course, you will receive a comprehensive introduction to Stata and its various uses in modern data analysis. You will learn to understand the many options that Stata gives you in manipulating, exploring, visualizing, and modeling complex types of data. This course will focus on the concept of linear regression and non-linear regression, specifically Ordinary Least Squares, Logit and Probit Regression.

The agenda of the course will consistently be on creating a 'good practice' and emphasizing the practical application-and interpretation-of commonly used statistical techniques without resorting to deep statistical theory or equations.

By the end of this course, you will have developed the skills and ability to engage with Stata for handling complex data analytics.

All the code files and resources for this course can be found at https://github.com/PacktPublishing/The-STATA-OMNIBUS-Regression-and-Modelling-with-STATA</p>
        <h2>What You Will Learn</h2><p>Learn and understand how Logit and Probit models work<br>Understand the data visualization process in Stata<br>Learn about regression modeling in Stata<br>Learn to perform categorical data analysis<br>Learn to perform epidemiology and power analysis<br>Learn about data manipulation in Stata</p>
        <h2>Audience</h2><p>This course is designed for anyone who is interested in analyzing data using Stata. Students working with data and quants; business managers using quantitative evidence; or those in the fields of economics, politics, and social sciences will also find this course useful. Basic quantitative or statistical knowledge will be beneficial to effectively understand the concepts covered in the course.</p>
        <h2>Approach</h2><p>This course is systematically designed to provide you with a compact and comprehensive knowledge on the basic principles of statistical methodology. With the help of animated graphics, interesting examples, and engaging activities, you will be able to grasp all the topics with ease.</p>
        <h2>Key Features</h2><p>Comfortably interpret and analyze regression output from Ordinary Least Squares * Learn tips and tricks around non-linear regression analysis * Get familiarized with general regression terminology and the assumptions behind Ordinary Least Squares</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/The-STATA-OMNIBUS-Regression-and-Modelling-with-STATA</p>
        <h2>About the Author</h2><h3>Franz Buscha</h3><p>Franz Buscha is a professor of economics at the University of Westminster, which he joined after completing his Ph.D. in economics at Lancaster University. He has been involved in numerous funded research projects from research councils and government departments. He has also contributed to a wide range of projects, including policy evaluation and bespoke econometric advice to UK government departments. Franz has published in leading journals and contributed to numerous policy reports. His research has even been covered by various media outlets. He is an experienced online educator and has published several online courses, including LinkedIn Learning. Franz also has a monthly radio program called Policy Matters on Share Radio.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Linear Regression</h4><p></p><br><h4>3. Non-Linear Regression</h4><p></p><br><h4>4. Regression Modelling</h4><p></p><br><h4>5. Introduction to Stata</h4><p></p><br><h4>6. Practice Tests</h4><p></p>

Packt

Stata

Statistics

Throughout this course, you will learn everything you need to know about linear and non-linear regression, regression modeling, and Stata. By the end of this course, you will be able to understand and be confident in interpreting complex types of data using Stata.

The STATA OMNIBUS: Regression and Modelling with STATA

<p>Step into the exhilarating realm of '<strong>Sports Management: Navigating the Business of Sports</strong>'. This course unveils the intricate dynamics underpinning the business facet of sports, right from understanding its basics to delving deep into strategic planning, financial analyses, and leadership nuances. With a robust curriculum spanning over 14 comprehensive modules, learners will uncover the mysteries of sports marketing, delve into the nuances of event promotions, and master the art of data analytics tailored for the sporting world. As sports transcend global boundaries, knowing how to adeptly manage and promote them can unlock new horizons. This course is your gateway to mastering that craft.</p>
<p><strong>Learning Outcomes</strong></p>
<ul>
<li>Understand the foundational principles of sports management and its various facets.</li>
<li>Analyse sports finance strategies and the underlying organisational structures.</li>
<li>Develop strategies for effective leadership, conflict resolution, and performance assessment in sports settings.</li>
<li>Master the principles of business administration tailored for sports, including event promotion and sponsorships.</li>
<li>Harness the power of data analytics for informed decision-making in the sporting realm.</li>
</ul>
<h3><b>Why buy this <span>Sports Management: Navigating the Business of Sports</span>?</b></h3>
<ol>
<li><span>Unlimited access to the course for forever</span></li>
<li><b>Digital Certificate, Transcript, student ID</b><span> all included in the price</span></li>
<li><span>Absolutely no hidden fees</span></li>
<li><span>Directly receive </span><b>CPD </b><span>accredited qualifications after course completion</span></li>
<li><span>Receive one to one assistance on every weekday from professionals</span></li>
<li><span>Immediately receive the PDF certificate after passing</span></li>
<li><span>Receive the original copies of your certificate and transcript on the next working day</span></li>
<li><span>Easily learn the skills and knowledge from the comfort of your home</span></li>
</ol>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials of the </span><b>Sports Management: Navigating the Business of Sports</b><span> there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.</span></p>
<h3><b>Who is this <span>Sports Management: Navigating the Business of Sports</span> course for?</b></h3>
<ul>
<li>Aspiring sports managers seeking a comprehensive understanding of the field.</li>
<li>Individuals aiming to transition into sports administration and marketing roles.</li>
<li>Coaches or trainers wanting to augment their managerial capabilities.</li>
<li>Sports enthusiasts eager to turn their passion into a viable career.</li>
<li>Entrepreneurs looking to venture into sports-related businesses.</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Sports Management: Navigating the Business of Sports</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Sports Management: Navigating the Business of Sports</b><span> was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h3><b>Career path</b></h3>
<ul>
<li><strong>Sports Marketing Manager</strong>: £35,000 - £50,000</li>
<li><strong>Sporting Event Coordinator</strong>: £28,000 - £42,000</li>
<li><strong>Sports Data Analyst</strong>: £30,000 - £48,000</li>
<li><strong>Sports Finance Analyst</strong>: £40,000 - £58,000</li>
<li><strong>Sports Sponsorship Executive</strong>: £32,000 - £47,000</li>
<li><strong>Sports Injury Manager</strong>: £27,000 - £40,000</li>
</ul><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: What is Sports Management</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is Sports Management</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Aspects of Sports Management</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Aspects of Sports Management</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Professional Sports and Global Circuits</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Professional Sports and Global Circuits</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Strategic Management in Sports</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Strategic Management in Sports</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: The Sports Organisational Structure</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Sports Organisational Structure</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Sports Finance Strategy and Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sports Finance Strategy and Analysis</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Leadership and Management in Sport</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Leadership and Management in Sport</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Business Administration and Sports Marketing</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Business Administration and Sports Marketing</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Conflict Management Strategies</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Conflict Management Strategies</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 10: Performance Management in Sports</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Performance Management in Sports</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 11: Using Data Analytics in Sports</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Using Data Analytics in Sports</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 12: Sporting Event Planning and Promotion</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sporting Event Planning and Promotion</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 13: Sports Sponsorships and Its Types</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sports Sponsorships and Its Types</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 14: Sports Injuries and Management</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sports Injuries and Management</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Online Course Marketing

Sports Coaching

Sports Science

Sports Marketing

Sports Management

Sports & Fitness

Sports Management: Navigating the Business of Sports

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Imagine a world where the vast realms of IT and analytics seem intricate, and the data emanating from every corner feels overwhelming. Now, reimagine a world where you have the power to interpret, analyse, and make that data sing a tune of actionable insights. Welcome to our "IT and Analytics" bundle, where complexity turns into simplicity.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Dive deep into the myriad elements of IT and analytics, encompassing everything from the basics of Google Analytics and Excel Pivot Tables to the advanced nuances of Windows 10 troubleshooting. This comprehensive bundle caters to both beginners and seasoned professionals, offering in-depth theoretical knowledge that is instrumental in the real world. By immersing yourself in these carefully curated courses, you are setting the foundation for deciphering data, understanding IT basics, and recruiting the right IT talent.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The purpose of this bundle is clear: to mould learners into well-rounded professionals with a keen sense for IT and analytics. Whether you&#39;re looking to streamline business processes, bolster your IT department, or simply understand the data-centric world around you, this is your golden ticket. Take the leap and embrace the future of IT and analytics today!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Courses Included:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 1: </strong>Google Analytics for Everyone</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 2: </strong>RCA: Root Cause Analysis</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 3: </strong>SQL for Data Science, Data Analytics and Data Visualization</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 4: </strong>Introduction to Data Analytics with Tableau</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 5: </strong>Excel Pivot Tables</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 6: </strong>CompTIA IT Fundamentals ITF+ (FCO-U61)</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 7: </strong>Recruitment: IT Basics for IT Recruiters</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 8: </strong>Advance Windows 10 Troubleshooting for IT HelpDesk</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Understand the fundamentals and advanced features of popular IT and analytics platforms.</li><li fr-original-style="" style="box-sizing: border-box;">Gain theoretical insights into root cause analysis and its applications.</li><li fr-original-style="" style="box-sizing: border-box;">Enhance decision-making abilities through data visualisation techniques.</li><li fr-original-style="" style="box-sizing: border-box;">Grasp the essence of IT recruitment and selection of appropriate candidates.</li><li fr-original-style="" style="box-sizing: border-box;">Master troubleshooting methods and strategies for Windows 10.</li><li fr-original-style="" style="box-sizing: border-box;">Build foundational knowledge in IT essentials through the CompTIA IT Fundamentals ITF+ curriculum.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Google Analytics for Everyone</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Decode user behaviour and make informed decisions with Google Analytics.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">RCA: Root Cause Analysis</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Uncover the underlying reasons behind complex issues through structured analysis.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL for Data Science, Data Analytics and Data Visualization</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Harness the power of SQL for effective data science and visualization.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Introduction to Data Analytics with Tableau</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Dive into data storytelling and visualisation with Tableau.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Excel Pivot Tables</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Master Excel&#39;s Pivot Tables for dynamic data analysis.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CompTIA IT Fundamentals ITF+ (FCO-U61)</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Establish a solid IT foundation with CompTIA IT Fundamentals.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Recruitment: IT Basics for IT Recruiters</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Learn the essentials of IT recruitment and talent selection.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Advance Windows 10 Troubleshooting for IT HelpDesk</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Elevate your troubleshooting skills for Windows 10 environments.</li></ul><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Aspiring data analysts keen on mastering theoretical aspects of IT and analytics.</li><li fr-original-style="" style="box-sizing: border-box;">IT enthusiasts looking to enhance their knowledge base.</li><li fr-original-style="" style="box-sizing: border-box;">Business professionals aiming to understand IT-related decisions better.</li><li fr-original-style="" style="box-sizing: border-box;">HR and recruitment professionals with a focus on IT hiring.</li><li fr-original-style="" style="box-sizing: border-box;">Anyone with a passion for data interpretation and the world of IT.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Data Analyst - &pound;30K to &pound;50K/year.</li><li fr-original-style="" style="box-sizing: border-box;">IT Support Specialist - &pound;25K to &pound;45K/year.</li><li fr-original-style="" style="box-sizing: border-box;">IT Recruiter - &pound;28K to &pound;55K/year.</li><li fr-original-style="" style="box-sizing: border-box;">Database Administrator - &pound;35K to &pound;60K/year.</li><li fr-original-style="" style="box-sizing: border-box;">Business Intelligence Analyst - &pound;32K to &pound;58K/year.</li><li fr-original-style="" style="box-sizing: border-box;">IT Consultant - &pound;40K to &pound;70K/year.</li><li fr-original-style="" style="box-sizing: border-box;">Systems Administrator - &pound;30K to &pound;55K/year.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">CPD Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">8 Digital Certificates Are Included With This Bundle</p></div>
        <h4 fr-original-style="" style="box-sizing: border-box;">CPD Quality Standard Hardcopy Certificate (FREE UK Delivery)</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            &pound;9.99
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Hardcopy Transcript - &pound;9.99</p></div>

                        </div>

NextGen Learning

Computing Skills

Business Analytics & Intelligence

IT Certifications

IT Skills

Computing & IT

Trainers Course

IT and Analytics Courses - 8 Courses Bundle

<p>Are you passionate about the world of sports and eager to dive into the dynamic and fascinating Sports Industry? Our comprehensive course offers a deep exploration of the field, equipping you with essential knowledge and skills to excel in this exciting domain.</p><p>Throughout this course, you will gain a profound understanding of the intricacies of Sports Management, from the fundamental principles to the global dynamics. Discover the strategic management strategies employed by leading sports organisations, explore the financial aspects, and dive into the complexities of sports leadership and management. Learn how data analytics is revolutionising the sports landscape and how to plan and promote sporting events effectively. Explore the diverse world of sports sponsorships and delve into the crucial area of sports injuries and their management. This course provides a well-rounded education in the Sports Industry, ensuring you are well-prepared for a range of roles within this thriving sector.</p><p><strong>Key Features</strong></p><ul><li>CPD Accredited</li><li>FREE PDF + Hardcopy certificate</li><li>Fully online, interactive course</li><li>Self-paced learning and laptop, tablet and smartphone-friendly</li><li>24/7 Learning Assistance</li><li>Discounts on bulk purchases</li></ul><p><strong>Course Curriculum </strong></p><ul><li>Module 01: What is Sports Management</li><li>Module 02: Aspects of Sports Management</li><li>Module 03: Professional Sports and Global Circuits</li><li>Module 04: Strategic Management in Sports</li><li>Module 05: The Sports Organisational Structure</li><li>Module 06: Sports Finance Strategy and Analysis</li><li>Module 07: Leadership and Management in Sport</li><li>Module 08: Business Administration and Sports Marketing</li><li>Module 09: Conflict Management Strategies</li><li>Module 10: Performance Management in Sports</li><li>Module 11: Using Data Analytics in Sports</li><li>Module 12: Sporting Event Planning and Promotion</li><li>Module 13: Sports Sponsorships and Its Types</li><li>Module 14: Sports Injuries and Management</li></ul><p><strong>Learning Outcomes:</strong></p><ul><li>Develop a comprehensive understanding of Sports Management.</li><li>Gain insights into strategic management and financial analysis in sports.</li><li>Acquire leadership and management skills specific to the sports context.</li><li>Master data analytics and its application in the sports industry.</li><li>Learn effective event planning and promotion techniques.</li><li>Explore the world of sports sponsorships and injury management.</li></ul><p><strong>Accreditation</strong></p><p>This course is <strong>CPD Quality Standards</strong> (<strong>CPD QS)</strong> accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field.</p><p><strong>Certificate</strong></p><p>After completing this course, you will get a FREE Digital Certificate from Training Express.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>Sports enthusiasts looking to turn their passion into a career.</li><li>Individuals aspiring to work in sports management and administration.</li><li>Professionals seeking to enhance their knowledge in the sports industry.</li><li>Students and recent graduates interested in the dynamic world of sports.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Sports Manager</li><li>Event Planner</li><li>Sports Marketing Specialist</li><li>Sports Data Analyst</li><li>Sports Finance Analyst</li><li>Sports Injury Manager</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><p>Once you've successfully completed your course, you will immediately be sent a FREE digital certificate.</p></div>
        <h4>Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK).<br />For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only <strong>£10</strong>.<br />Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.</p></div>

                        </div>

Training Express

Sports Industry Insights Course

<section data-id="2f89108" data-element_type="section" style="color: rgb(51, 51, 51); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(51, 51, 51);"><div data-id="8492d0b" data-element_type="column" fr-original-style="" style="box-sizing: border-box;"><section data-id="b9a3017" data-element_type="section" fr-original-style="" style="box-sizing: border-box;"><div data-id="7611372" data-element_type="column" fr-original-style="" style="box-sizing: border-box;"><div data-id="84fa810" data-element_type="widget" data-widget_type="heading.default" fr-original-style="" style="box-sizing: border-box;"><section data-id="2f89108" data-element_type="section" style="color: rgb(51, 51, 51); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(51, 51, 51);"><div data-id="8492d0b" data-element_type="column" fr-original-style="" style="box-sizing: border-box;"><section data-id="b9a3017" data-element_type="section" fr-original-style="" style="box-sizing: border-box;"><div data-id="7611372" data-element_type="column" fr-original-style="" style="box-sizing: border-box;"><div data-id="84fa810" data-element_type="widget" data-widget_type="heading.default" fr-original-style="" style="box-sizing: border-box;"><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">OVERVIEW</h3></div><div data-id="f4d9ac0" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This official Microsoft Power BI training course will teach you how to connect to data from many sources, clean and transform it using Power Query, create a data model consisting of multiple tables connected with relationships and build visualisations and reports to show the patterns in the data.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The course will explore formulas created using the DAX language, including the use of advanced date intelligence calculations. Additional visualisation features including interactivity between the elements of a report page are covered as well as parameters and row-level security, which allows a report to be tailored according to who is viewing it. The course will also show how to publish reports and dashboards to a workspace on the Power BI Service.</p></div><div data-id="3268c88" data-element_type="widget" data-widget_type="heading.default" fr-original-style="" style="box-sizing: border-box;"><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">COURSE BENEFITS:</h3></div><div data-id="7a033b7" data-element_type="widget" data-widget_type="icon-list.default" fr-original-style="" style="box-sizing: border-box;"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><i style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"></i><span style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);">Learn how to clean, transform, and load data from many sources</span></li><li fr-original-style="" style="box-sizing: border-box;"><i style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"></i><span style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);">Use database queries in Power Query to combine tables using append and merge</span></li><li fr-original-style="" style="box-sizing: border-box;"><i style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"></i><span style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);">Create and manage a data model in Power BI consisting of multiple tables connected with relationships</span></li><li fr-original-style="" style="box-sizing: border-box;"><i style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"></i><span style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);">Build Measures and other calculations in the DAX language to plot in reports</span></li><li fr-original-style="" style="box-sizing: border-box;"><i style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"></i><span style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);">Manage advanced time calculations using date tables</span></li><li fr-original-style="" style="box-sizing: border-box;"><i style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"></i><span style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);">Optimise report calculations using the Performance Analyzer</span></li><li fr-original-style="" style="box-sizing: border-box;"><i style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"></i><span style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);">Manage and share report assets to the Power BI Service</span></li><li fr-original-style="" style="box-sizing: border-box;"><i style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"></i><span style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);">Prepare for the official Microsoft PL-300 exam using Microsoft Official Courseware</span></li></ul></div><div data-id="402ee41" data-element_type="widget" data-widget_type="heading.default" fr-original-style="" style="box-sizing: border-box;"><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">WHO IS THE COURSE FOR?</h3></div><div data-id="1e62ca4" data-element_type="widget" data-widget_type="text-editor.default" style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Data Analysts with little or no experience of Power BI who wish to upgrade their knowledge to include Business Intelligence</li><li fr-original-style="" style="box-sizing: border-box;">Management Consultants who need to conduct rapid analysis of their clients&rsquo; data to answer specific business questions</li><li fr-original-style="" style="box-sizing: border-box;">Analysts who need to upgrade their organisation from a simple Excel or SQL-based management reporting system to a dynamic BI system</li><li fr-original-style="" style="box-sizing: border-box;">Data Analysts who wish to develop organisation-wide reporting in the form of web reports or phone apps</li><li fr-original-style="" style="box-sizing: border-box;">Marketers in data-intensive organisations who wish to build visually appealing, dynamic charts for their stakeholders to use</li></ul></div></div></section></div></section><section data-id="a8e6ba7" data-element_type="section" style="color: rgb(51, 51, 51); box-sizing: border-box;" fr-original-style=" color: rgb(51, 51, 51);"><div data-id="a4bbb0a" data-element_type="column" fr-original-style="" style="box-sizing: border-box;"><section data-id="4ed22ae" data-element_type="section" fr-original-style="" style="box-sizing: border-box;"><div data-id="16c8bf1" data-element_type="column" fr-original-style="" style="box-sizing: border-box;"><div data-id="326f24d" data-element_type="widget" data-widget_type="menu-anchor.default" fr-original-style="" style="box-sizing: border-box;"></div><div data-id="9bc97d7" data-element_type="widget" data-widget_type="heading.default" fr-original-style="" style="box-sizing: border-box;"><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">COURSE OUTLINE</h3></div><div data-id="ce8a9cc" data-element_type="widget" data-widget_type="toggle.default" fr-original-style="" style="box-sizing: border-box;"><div data-tab="1" tabindex="0" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"><i fr-original-style="" style="box-sizing: border-box;"></i></span>Module 1 Getting Started With Microsoft Data Analytics</div><div data-tab="1" style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Data analytics and Microsoft</li><li fr-original-style="" style="box-sizing: border-box;">Getting Started with Power BI</li></ul></div><div data-tab="2" tabindex="0" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"><i fr-original-style="" style="box-sizing: border-box;"></i></span>Module 2 Get Data In Power BI</div><div data-tab="2" style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Get data from various data sources</li><li fr-original-style="" style="box-sizing: border-box;">Optimize performance</li><li fr-original-style="" style="box-sizing: border-box;">Resolve data errors</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Lab: Prepare Data in Power BI Desktop</p></div><div data-tab="3" tabindex="0" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"><i fr-original-style="" style="box-sizing: border-box;"></i></span>Module 3 Clean, Transform And Load Data In Power BI</div><div data-tab="3" style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Data shaping</li><li fr-original-style="" style="box-sizing: border-box;">Data profiling</li><li fr-original-style="" style="box-sizing: border-box;">Enhance the data structure</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Lab: Load Data in Power BI Desktop</p></div><div data-tab="4" tabindex="0" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"><i fr-original-style="" style="box-sizing: border-box;"></i></span>Module 4 Design A Data Model In Power BI</div><div data-tab="4" style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Introduction to data modelling</li><li fr-original-style="" style="box-sizing: border-box;">Working with Tables</li><li fr-original-style="" style="box-sizing: border-box;">Dimensions and Hierarchies</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Lab: Model Data in Power BI Desktop</p></div><div data-tab="5" tabindex="0" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"><i fr-original-style="" style="box-sizing: border-box;"></i></span>Module 5 Create Model Calculations Using DAX In Power BI</div><div data-tab="5" style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Introduction to DAX</li><li fr-original-style="" style="box-sizing: border-box;">Real-time Dashboards</li><li fr-original-style="" style="box-sizing: border-box;">Advanced DAX</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Lab 1: Create DAX Calculations in Power BI Desktop, Part 1</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Lab 2: Create DAX Calculations in Power BI Desktop, Part 2</p></div><div data-tab="6" tabindex="0" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"><i fr-original-style="" style="box-sizing: border-box;"></i></span>Module 6 Optimize Model Performance</div><div data-tab="6" style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Optimize the data model for performance</li><li fr-original-style="" style="box-sizing: border-box;">Optimize DirectQuery models</li></ul></div><div data-tab="7" tabindex="0" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"><i fr-original-style="" style="box-sizing: border-box;"></i></span>Module 7 Create Reports</div><div data-tab="7" style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Design a Report</li><li fr-original-style="" style="box-sizing: border-box;">Enhance the Report</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Lab 1: Design a Report in Power BI Desktop, Part 1</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Lab 2: Design a Report in Power BI Desktop, Part 2</p></div><div data-tab="8" tabindex="0" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"><i fr-original-style="" style="box-sizing: border-box;"></i></span>Module 8 Create Dashboards</div><div data-tab="8" style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Create a Dashboard</li><li fr-original-style="" style="box-sizing: border-box;">Real-time Dashboards</li><li fr-original-style="" style="box-sizing: border-box;">Enhance a Dashboard</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Lab: Create a Power BI Dashboard</p></div><div data-tab="9" tabindex="0" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"><i fr-original-style="" style="box-sizing: border-box;"></i></span>Module 9 Perform Advanced Analytics</div><div data-tab="9" style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Advanced analytics</li><li fr-original-style="" style="box-sizing: border-box;">Data Insights through AI Visuals</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Lab: Perform Data Analysis in Power BI Desktop</p></div><div data-tab="10" tabindex="0" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"><i fr-original-style="" style="box-sizing: border-box;"></i></span>Module 10 Create And Manage Workspaces</div><div data-tab="10" style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Creating Workspaces</li><li fr-original-style="" style="box-sizing: border-box;">Sharing and managing assets</li></ul></div><div data-tab="11" tabindex="0" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"><i fr-original-style="" style="box-sizing: border-box;"></i></span>Module 11 Manage Datasets In Power BI</div><div data-tab="11" style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Parameters</li><li fr-original-style="" style="box-sizing: border-box;">Datasets</li></ul></div><div data-tab="12" tabindex="0" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(99, 93, 255); box-sizing: border-box;" fr-original-style=" color: rgb(99, 93, 255);"><i fr-original-style="" style="box-sizing: border-box;"></i></span>Module 12 Row-Level Security</div><div data-tab="12" style="color: rgb(61, 78, 96); box-sizing: border-box;" fr-original-style=" color: rgb(61, 78, 96);"><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Security in Power BI</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Lab: Enforce Row-Level Security</p></div></div></div></section></div></section></div></div></section></div></section>

Online Productivity Training

Power BI Data Analyst (PL300)

<p>Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified<strong> Basics of Data Science</strong> bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our <strong>40 </strong> course mega bundle that will exceed your expectations within your budget.</p> <p>The<strong> Basics of Data Science</strong> related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then <strong>StudyHub </strong> proposes a preparatory bundle. This comprehensive <strong>Basics of Data Science</strong> bundle will help you build a solid foundation to become a proficient worker in the sector.</p> <p><strong>This Basics of Data Science Bundle consists of the following</strong><strong> 30 </strong><strong>CPD Accredited Premium courses - </strong></p> <ul> <li>Course 1: Business Intelligence and Data Mining</li><li>Course 2: Diploma in Data Analysis Fundamentals</li><li>Course 3: Google Data Studio: Data Analytics</li><li>Course 4: Statistics</li><li>Course 5: Statistical Analysis</li><li>Course 6: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 7: Quick Data Science Approach from Scratch</li><li>Course 8: SAS Programming Basic to Advanced</li><li>Course 9: R Programming for Data Science</li><li>Course 10: Python Data Science</li><li>Course 11: Data Science &amp; Machine Learning with Python</li><li>Course 12: Microsoft Power BI - Master Power BI in 90 Minutes!</li><li>Course 13: PowerBI Formulas</li><li>Course 14: Excel Data Analysis</li><li>Course 15: Excel Data Tools and Data Management</li><li>Course 16: Master JavaScript with Data Visualization</li><li>Course 17: Research Methods in Business</li><li>Course 18: Fundamentals of Business Analysis</li><li>Course 19: Financial Analysis</li><li>Course 20: Financial Modeling Using Excel</li><li>Course 21: Investment Analyst</li><li>Course 22: Technical Analysis Masterclass for Trading &amp; Investing</li><li>Course 23: Understanding Financial Statements and Analysis</li><li>Course 24: Strategic Planning and Analysis for Marketing</li><li>Course 25: Stock Trading Analysis with Volume Trading</li><li>Course 26: Time Management Training - Online Course</li><li>Course 27: Complete Communication Skills Master Class for Life</li><li>Course 28: Public Speaking</li><li>Course 29: Minute Taking Executive Training</li><li>Course 30: Receptionist Skills</li></ul> <p><strong>10 </strong><strong>Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques-</strong></p> <ul> <li>Course 1: Career Development Plan Fundamentals</li><li>Course 2: CV Writing and Job Searching</li><li>Course 3: Interview Skills: Ace the Interview</li><li>Course 4: Video Job Interview for Job Seekers</li><li>Course 5: Create a Professional LinkedIn Profile</li><li>Course 6: Business English Perfection Course</li><li>Course 7: Networking Skills for Personal Success</li><li>Course 8: Boost Your Confidence and Self-Esteem</li><li>Course 9: Public Speaking Training</li><li>Course 10: Learn to Fight Procrastination</li></ul> <p><strong>Learning Outcome</strong></p> <p><strong>This tailor-made </strong><strong>Basics of Data Science</strong><strong> bundle will allow you to-</strong></p> <ul> <li>Uncover your skills and aptitudes to break new ground in the related fields</li><li>Deep dive into the fundamental knowledge</li><li>Acquire some hard and soft skills in this area</li><li>Gain some transferable skills to elevate your performance</li><li>Maintain good report with your clients and staff</li><li>Gain necessary office skills and be tech savvy utilising relevant software</li><li>Keep records of your work and make a report</li><li>Know the regulations around this area</li><li>Reinforce your career with specific knowledge of this field</li><li>Know your legal and ethical responsibility as a professional in the related field</li></ul> <p>This Basics of Data Science Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.</p> <p><strong>Certification</strong></p> <p>After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and <strong>1 hardcopy certificate for the Title Course completely free</strong>. Other Hard Copy certificates need to be ordered at an additional cost of •8.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        400 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>Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Basics of Data Science bundle! This bundle is also ideal for professionals looking for career advancement.</p> 
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>To participate in this course, all you need is -</p> <ul> <li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in Basics of Data Science</li></ul> 
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.</p> 
                        </div>

Big Data Analytics

Data Science

Professional Skills Course (PSC)

Data Skills

Digital Skills

Basics of Data Science

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>Before taking this course delegates should already be familiar with basic analytics techniques, comfortable with basic data manipulation tools such as spreadsheets and databases and already familiar with at least one programming language</p>Overview<p>This course teaches delegates who are already familiar with analytics techniques and at least one programming language how to effectively use the programming language for three tasks: data manipulation and preparation, statistical analysis and advanced analytics (including predictive modelling and segmentation). Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions.<br /><br />Outcomes: After completing the course, delegates will be capable of writing production-ready R code to perform advanced analytics tasks enabling their organisations make better, data-driven decisions.</p><p>Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit.</p></div><div id="course-pills-2"><h4>Topic 1</h4><ul><li>Intro to our chosen language</li></ul><h4>Topic 2</h4><ul><li>Basic programming conventions</li></ul><h4>Topic 3</h4><ul><li>Data structures</li></ul><h4>Topic 4</h4><ul><li>Accessing data</li></ul><h4>Topic 5</h4><ul><li>Descriptive statistics</li></ul><h4>Topic 6</h4><ul><li>Data visualisation</li></ul><h4>Topic 7</h4><ul><li>Statistical analysis</li></ul><h4>Topic 8</h4><ul><li>Advanced data manipulation</li></ul><h4>Topic 9</h4><ul><li>Advanced analytics ? predictive modelling</li></ul><h4>Topic 10</h4><ul><li>Advanced analytics ? segmentation</li></ul></div>

Nexus Human

Predictive Analytics

Excel Analytics

Data Analyst

Advanced Analytics with Python

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

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

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

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

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

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

                        </div>

One Education

Diploma in Data Science Course

School of Business and Technology London

QUALIFI Level 7 Diploma in Information Technology

<p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £180 as a Gift-Enrol Now!!!</strong></p><p>Gain the essential skills for a<strong> Data Analyst </strong>role through this <strong>TWENTY-in-One career-oriented </strong>Professional Data Analyst Program from Apex Learning and position yourself competitively in the thriving job market for data analysts, which will see a <strong>20% growth by 2028</strong> (U.K. Bureau of Labor Statistics).</p><p>Power your<strong> Data Analyst </strong>career by learning the <strong>core principles</strong> of data analysis and gaining professional skills. You'll go through with a variety of data sources, project scenarios, and data analysis tools, including <strong>Excel</strong>, <strong>Power BI</strong>, <strong>SQL</strong>, <strong> Python</strong>, <strong>Google Data Studio</strong>,<strong> Tableau</strong> and <strong>SAS</strong>, gaining practical experience with data manipulation and applying analytical techniques.</p><p>Along with this Data Analyst : Data Analytics bundle, you will get 19 other premium courses.</p><p><strong>This Data Analyst : Data Analytics Bundle Consists of the following Premium courses:</strong></p><ul><li><strong>Course 01:</strong> Introduction to Data Analysis</li><li><strong>Course 02:</strong> Data Analytics with Tableau</li><li><strong>Course 03:</strong> Python for Data Analysis</li><li><strong>Course 04:</strong> Basic Google Data Studio</li><li><strong>Course 05:</strong> SQL NoSQL Big Data and Hadoop</li><li><strong>Course 06:</strong> Complete Microsoft Power BI 2021</li><li><strong>Course 07:</strong> Fundamentals of Business Analysis</li><li><strong>Course 08:</strong> Complete Introduction to Business Data Analysis Level 3</li><li><strong>Course 09:</strong> Business Intelligence and Data Mining Masterclass</li><li><strong>Course 10:</strong> Research Methods in Business</li><li><strong>Course 11:</strong> Statistical Analysis</li><li><strong>Course 12:</strong> Graph Theory Algorithms</li><li><strong>Course 13:</strong> Clinical Data Analysis with SAS</li><li><strong>Course 14:</strong> Data Analysis in Excel Level 3 Course</li><li><strong>Course 15:</strong> Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong>Course 16:</strong> PowerPoint Diploma</li><li><strong>Course 17:</strong> Data Protection and Data Security Level 2</li><li><strong>Course 18:</strong> Functional Skills IT</li><li><strong>Course 19:</strong> Decision Making and Critical Thinking</li></ul><p>So, enrol in this Data Analyst : Data Analytics Training now to advance your career!</p><p>This Data Analyst : Data Analytics bundle Does Not require any prior programming or statistical skills and is suitable for learners with or without college degrees.</p><p>The Data Analyst : Data Analytics bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analyst : Data Analytics expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.</p><p><strong>H</strong><strong>ow will I get my Certificate?</strong></p><p>After successfully completing the Data Analyst : Data Analytics Training, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free (For The Title Course)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course)</strong></li></ul><p>P.S. The delivery charge inside the U.K. is £3.99, and the international students must pay £9.99.</p><h2>
        
        <div>CPD</div>
    </h2>

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

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

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

                        <div id="career_path">
                            <p>Data Analyst : Data Analytics Training<strong>: </strong></p><p>This <strong>Data Analyst (Data Analytics) </strong>Bundle is ideal for anyone who wants to take their development to the next level and fast-track their career in any of the following roles:b</p><ul><li>Data analytics manager</li><li>Financial analyst</li><li>Marketing analyst</li><li>Systems analyst</li><li>Data scientist</li><li>Machine learning engineer</li><li>Data analytics consultant</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £180 as a Gift-Enrol Now!!!
Gain the essential skills for a Data Analyst role through this TWENTY-in-One career-oriented Professional Data Analyst Program from Apex Learning and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth by 2028 (U.K. Bureau of Labor Statistics).
Power your Data Analyst career by learning the core principles of data analysis and gaining professional skills. You'll go through with a variety of data sources, project scenarios, and data analysis tools, including Excel, Power BI, SQL,  Python, Google Data Studio, Tableau and SAS, gaining practical experience with data manipulation and applying analytical techniques.
Along with this Data Analyst : Data Analytics bundle, you will get 19 other premium courses.
This Data Analyst : Data Analytics Bundle Consists of the following Premium courses:
Course 01: Introduction to Data Analysis
Course 02: Data Analytics with Tableau
Course 03: Python for Data Analysis
Course 04: Basic Google Data Studio
Course 05: SQL NoSQL Big Data and Hadoop
Course 06: Complete Microsoft Power BI 2021
Course 07: Fundamentals of Business Analysis
Course 08: Complete Introduction to Business Data Analysis Level 3
Course 09: Business Intelligence and Data Mining Masterclass
Course 10: Research Methods in Business
Course 11: Statistical Analysis
Course 12: Graph Theory Algorithms
Course 13: Clinical Data Analysis with SAS
Course 14: Data Analysis in Excel Level 3 Course
Course 15: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Course 16: PowerPoint Diploma
Course 17: Data Protection and Data Security Level 2
Course 18: Functional Skills IT
Course 19: Decision Making and Critical Thinking
So, enrol in this Data Analyst : Data Analytics Training now to advance your career!
This Data Analyst : Data Analytics bundle Does Not require any prior programming or statistical skills and is suitable for learners with or without college degrees.
The Data Analyst : Data Analytics bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Data Analyst : Data Analytics expertise and essential knowledge, which will assist you in reaching your goal. Moreover, you can learn from any place in your own time without travelling for classes.
How will I get my Certificate?
After successfully completing the Data Analyst : Data Analytics Training, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.
PDF Certificate: Free (For The Title Course)
Hard Copy Certificate: Free (For The Title Course)
P.S. The delivery charge inside the U.K. is £3.99, and the international students must pay £9.99.
 CPD 
125 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Data Analyst : Data Analytics bundle.
 Requirements 
This Data Analyst : Data Analytics Trainingcourse has been designed to be fully compatible with tablets and smartphones.
 Career path 
Data Analyst : Data Analytics Training: 
This Data Analyst (Data Analytics) Bundle is ideal for anyone who wants to take their development to the next level and fast-track their career in any of the following roles:b
Data analytics manager
Financial analyst
Marketing analyst
Systems analyst
Data scientist
Machine learning engineer
Data analytics consultant
 Certificates 
Certificate of completion
 Digital certificate - Included 
You will get the PDF Certificate for the title course (Data Analysis) absolutely Free! 
Certificate of completion
 Hard copy certificate - Included 
You will get the Hard Copy certificate for the title course (Data Analysis) absolutely Free! Other Hard Copy certificates are available for £10 each. 
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Data Analyst : Data Analytics Training

Demand for data analysts, data scientists and data engineers tripled over the past five years, rising 231%. That's much faster than job postings overall in the UK, which grew 36%. Hence, the demand for skilled data analysts has skyrocketed in the UK and worldwide! On average, salaries for these data analysts' roles are £64,376 and keep rising.
With a broader overview of the data analyst's responsibility, data chart, and presentation tools, the bundle describes how to filter, improve and handle data to present various information. You'll learn process management, how to analyse data and how to make vital business decisions. The data analyst bundle will buckle you up to perform simple to complex business analysis tasks effectively and efficiently.
Furthermore, the data analyst course accentuates developing your programming skills for a data analyst, such as Python, SQL, and R. What's more? Besides strengthening Microsoft Excel skills for a data analyst, you can improve your expertise in Tableau, Google Data Studio and business analysis ability from this Data Analyst (Data Analytics) Bundle course. Hence, you can be an efficient data analyst and a competent candidate for a challenging position.
Learning Outcomes of Data Analyst (Data Analytics)
Upon completion of the Data Analyst (Data Analytics) program, you will have acquired:
Acquire a big-picture understanding of the data analyst role
Fundamentals of data analysis (data analysis), including process management, tools for data analysis, various charts
Ability to conduct thorough research and turn raw data into presentable information
Perform many data operations in Python's famous "pandas" library, including grouping, pivoting, joining and more!
Learn about NLP, Machine Learning (ML), data visualisation using Matplotlib, Seaborn and much more
Knowledge of all the essential SQL commands and become proficient in SQL tools like GROUP BY, JOINS, and Subqueries
Become competent in using sorting and filtering commands in SQL
Learn general cloud computing concepts and gain a solid understanding of the fundamental systems on which the cloud is based
Learn how to use the R programming language for data science, machine learning, and data visualisation
Learn data analytics with Tableau, business intelligence and data mining masterclass, basic Google Data studio
This Data Analyst (Data Analytics) Bundle Consists of the following Premium courses:
Course 01: Introduction to Data Analysis
Course 02: Python for Data Analysis
Course 03: SQL Programming Masterclass
Course 04: Data Science & Machine Learning with R
Course 05: Data Analytics with Tableau
Course 06: Basic Google Data Studio
Course 07: Business Intelligence and Data Mining Masterclass
Course 08: Business Analysis Level 3
Course 09: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002)
Course 11: GDPR Data Protection Level 5
Course 12: ChatGPT Crash Course
Upon finishing this 12-course Data Analyst (Data Analytics) bundle, you will acquire the necessary skills for a thriving career in this rapidly expanding industry. Waste no more time - enrol today and commence your path towards a promising future!
The Curriculum of the Data Analyst Bundle:
Course 1: Introduction to Data Analysis
Introduction
Agenda and Principles of Process Management
The Voice of the Process
Working as One Team for Improvement
Exercise: The Voice of the Customer
Tools for Data Analysis
The Pareto Chart
The Histogram
The Run Chart
Exercise: Presenting Performance Data
Understanding Variation
The Control Chart
Control Chart Example
Control Chart Special Cases
Interpreting the Control Chart
Control Chart Exercise
Strategies to Deal with Variation
Using Data to Drive Improvement
A Structure for Performance Measurement
Exercise
Course Project
Test your Understanding
Course 2: Python for Data Analysis
Welcome, Course Introduction & overview, and
Environment set-up
Python Essentials
Python for Data Analysis using NumPy
Python for Data Analysis using Pandas
Python for Data Visualization using mat plotlib
Python for Data Visualization using Seaborn
Python for Data Visualization using pandas
Python for interactive & geographical plotting using Plotly
and Cufflinks
Capstone Project - Python for Data Analysis &
Visualisation
Python for Machine Learning (ML) - sci-kit-learn - Linear
Regression Model
Python for Machine Learning - scikit-learn - Logistic
Regression Model
Python for Machine Learning - scikit-learn - K Nearest
Neighbours
Python for Machine Learning - scikit-learn - Decision Tree
and Random Forests
Python for Machine Learning - scikit-learn -Support Vector
Machines (SVMs)
Python for Machine Learning - scikit-learn - K Means
Clustering
Python for Machine Learning - scikit-learn - Principal
Component Analysis (PCA)
Recommender Systems with Python - (Additional Topic)
Python for Natural Language Processing (NLP) - NLTK -
(Additional Topic)
Course 3: SQL Programming Masterclass
Introduction
Setting up Course Tools
Browsing & Filtering Data
Filter Data with AND, OR, NOT Operators
Math Operations
String Concatenation
Tidy Up Your Results: Sorting, Alias Names, Limit
Records
NULL, DISTINCT & CASE Statements
Functions in SQL: Multiple-Row Functions
Functions in SQL: Single-Row Functions
Nested Queries
Casting & Data Conversion
Combination Relationships
Joins in SQL
Data Manipulation (DML)
SQL Data Definition Language (DDL)
Course 4: Data Science & Machine Learning with R
Data Science and Machine Learning Course Intro
Data Types and Structures in R
Data Types and Structures in R
Intermediate R
Data Manipulation in R
Data Visualisation in R
Creating Reports with R Markdown
Building WebApps with R Shiny
Introduction to Machine Learning
Starting A Career in Data Science
Course 5: Data Analytics with Tableau
Introduction to the Course
Project 1: Discount Mart (Sales and Profit Analytics)
Project 2: Green Destinations (HR Analytics)
Project 3: Superstore (Sales Agent Tracker)
Northwind Trade (Shipping Analytics)
Project 5: Tesla (Stock Price Analytics)
Bonus: Introduction to Database Concepts
Tableau Stories
Course 6: Basic Google Data Studio
Introduction to GDS
Data Visualisation
Geo-visualisation
A Socio-Economic Case Study
Course 7: Business Intelligence and Data Mining Masterclass
What is Business Intelligence?
Starting Case in understanding BI needs in diff phases
of business
Decision-Making Process and Need for IT Systems
Problem Structure and Decision Support System
Introduction to BI Applications
Dashboard presentation systems
Different Types of Charts used in 131 Dashboards
Good Dashboard and BSC
Examples of Bad Dashboards
Process of KPI Development
Overview of Data Warehouse
More explanation of the data warehouse and steps in
processing
Data Warehouse Architecture -Tiers
Data Warehouse - components
Approach to developing data structure and Models of
database
Basics of Data Mining - Meaning
Basics of Data Mining - Stages of DM
Data Mining Technique - Classification
Data mining - Clustering
Data Mining - Association Rules
Data Mining Applications - Banking
Data Mining Applications - CRM
Data Mining Applications - other industries
Course 8: Business Analysis Level 3
Introduction to Business Analysis
Business Processes
Business Analysis Planning and Monitoring
Strategic Analysis and Product Scope
Solution Evaluation
Investigation Techniques
Ratio Analysis
Stakeholder Analysis & Management
Process Improvement with Gap Analysis
Documenting & Managing Requirements
Career Prospect as a Business Analyst in the UK
Course 9: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Introduction
Prepaid Expenses Models: Resources Download
Accounting for Prepaid Expenses
Excel Formulas Detailed: Introduction to three Excel
Models
Formula-Based Prepaid Expenses Model
Calculate Prepaid Expenses Amortisation from Exact
Start Date
Prepaid Expenses Summary with Power Query & Pivot
Table
Advanced VBA Prepaid Expenses Amortisation Model
BONUS: Dynamic Dashboard for Divisional Profit &
Loss statements: Easy Way
Power Query & Pivot Tables based Dashboard without any Formulas, Fully Dynamic
Course 10: Cloud Computing CompTIA Cloud+ (CV0-002)
What You Need to Know
Introducing the Cloud
System Requirements for Cloud Deployments
Cloud Storage
Cloud Compute
Cloud Networking
Cloud Security
Migrating to the Cloud
Maintaining Cloud Solutions
Troubleshooting Cloud Solutions
Course 11: GDPR Data Protection
GDPR Basics
GDPR Explained
Lawful Basis for Preparation
Rights and Breaches
Course 12: ChatGPT Crash Course
Sign up for an OpenAI Account
What can ChatGPT do for you?
ChatGPT for Business
ChatGPT for Teaching
ChatGPT for Research
Limitations of ChatGPT
Additional Videos
 CPD 
130 CPD hours/points  Accredited by CPD Quality Standards
 Who is this course for? 
Anyone from any background can enrol in this Data Analyst (Data Analytics) bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this Data Analyst (Data Analytics) bundle course. Students can take this course to gather professional knowledge besides their studies or for the future. 
Aspiring data analysts
Business analyst professionals who want to improve their skills
Anyone who desires to develop their data analysis skills
 
 Career path 
This Data Analyst (Data Analytics) Bundle is ideal for those who want to take their development to the next level and fast-track their career in any of the following roles:
Data Analyst: £30,000 - £50,000
Senior Data Analyst: £50,000 - £70,000
Data Scientist: £70,000 - £100,000
Business Intelligence Manager: £60,000 - £80,000
Machine Learning Engineer: £60,000 - £90,000
 Certificates 
Certificate of Completion
Digital certificate - Included
PDF certificate - Free (Previously, it was £6*12 = £72)
Certificate of Completion
Hard Copy certificate - Included
Hard Copy Certificate - Free (For The Title Course: Previously, it was £10)
Other Hard Copy certificates are available for £10 each
Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Google Data Studio

GDPR

Data Mining

Tableau

Business Intelligence (BI)

Python

ChatGPT

12 in 1 Career Guided Programme | Python, Data Science, ML, Tableau, SQL Programming, Data Mining, Business Analysis | 130 CPD Points | Tutor Support | Lifetime Access

Data Analyst (Data Analytics) Diploma - CPD Certified

<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
			<div></div>
		</div>
				</div>
				</div>
				<div>
				<div>
			
				</div>
				<div>
				<div>
					<div><p>The world runs on data, and it's those who can decipher its secrets that hold the key to success. Enter the realm of data analytics course. Raw numbers transform into powerful insights, driving informed decisions and shaping the future. Starting a data analytics journey can unlock thrilling possibilities. It doesn't matter whether you're a seasoned professional or a curious newcomer. You'll master statistical models and predictive analytics. You'll also learn data visualization. This will help you transform complex numbers into compelling narratives.<br />The beauty of data analytics lies in its adaptability. You might want a data analytics course certificate for a career boost. Or a deep dive with a data analytics boot camp. Or a master's in data analytics for specialized expertise. The options are endless.<br />The world of data awaits your exploration. You can choose an online master's in data analytics. You can also start an advanced data analytics program. Or join a data analytics course for beginners. Each step unlocks new opportunities. Take the first step. Embrace the world of data. Become a champion of insights, ready to shape the future with the power of analysis.<br />Remember, the data analytics journey is an ongoing adventure. With each new dataset and each mastered skill, you unlock new doors and expand your impact. So, dive in, explore, and become a master decoder of the world's most valuable resource-data.</p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</div></section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Learn how to collect, clean, and organize data  </span>
									</li>
								<li>
											<span>
													</span>
										<span>Grasp Analytical Data </span>
									</li>
								<li>
											<span>
													</span>
										<span>Know the basics of Business Data Analytics </span>
									</li>
								<li>
											<span>
													</span>
										<span>Get an idea of AI data analytics </span>
									</li>
								<li>
											<span>
													</span>
										<span>Equip yourself with the statistical tools </span>
									</li>
								<li>
											<span>
													</span>
										<span>Delve into the world of predictive analytics</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					</div>
				</div>
				<div>
				<div>
					
			</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>High demand across industries</span>
									</li>
								<li>
											<span>
													</span>
										<span>Diverse Career Opportunities</span>
									</li>
								<li>
											<span>
													</span>
										<span>Be able to make an impact on business analytics </span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Analytics Bootcamp</span>
									</li>
								<li>
											<span>
													</span>
										<span>Certificate in Data Analytics</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Career Path</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>AI data analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Business Data Analytics </span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Scientist</span>
									</li>
								<li>
											<span>
													</span>
										<span>Statistical Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Quantitative Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Market Research Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Operations Analyst</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Bachelor's degree in  Statistics, Mathematics, or Analytics</span>
									</li>
								<li>
											<span>
													</span>
										<span>Strong analytical and problem-solving skills </span>
									</li>
								<li>
											<span>
													</span>
										<span>Familiarity with database management systems</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong> Module 01: Introduction to the World of Data</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Introduction to the World of Data</td><td><span>🕐 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 02: Basics of Data Analytics</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Basics of Data Analytics</td><td><span>🕐 00:40:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 03: Statistics for Data Analytics</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Statistics for Data Analytics</td><td><span>🕐 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 04: Actions Taken in the Data Analysis Process</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Actions Taken in the Data Analysis Process</td><td><span>🕐 00:55:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 05: Gathering the Right Information</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Gathering the Right Information</td><td><span>🕐 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 06: Storing Data</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Storing Data</td><td><span>🕐 01:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 07: Data Mining</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Data Mining</td><td><span>🕐 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 08: Excel for Data Analytics</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Excel for Data Analytics</td><td><span>🕐 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 09: Tools for Data Analytics</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Tools for Data Analytics</td><td><span>🕐 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 10: Data-Analytic Thinking</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Data-Analytic Thinking</td><td><span>🕐 01:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 11: Data Visualisation That Clearly Describes Insights</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Data Visualisation That Clearly Describes Insights</td><td><span>🕐 00:45:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 12: Data Visualisation Tools</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Data Visualisation Tools</td><td><span>🕐 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Assignment</strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Data Analytics</td><td><span>🕐 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Skill Up

Boost your advanced analytics skills by choosing our excellent course. We are providing one of the best online data analytics programs!

Data Analytics

<p><strong>***Offer Ends Today***</strong></p><p><strong>Earn up to 40K as a 'DATA ANALYST' or Your 100% Money Back</strong></p><p>Do you know that entry-level data analysts earn an average of <strong>£40,000 </strong>annually, with the potential to quickly earn six figures with experience and expertise? Are you looking to join the high-demand field of data analytics and earn a handsome salary? Our <strong>Data Analyst Job Ready Program</strong> is here to guide you all the way until you get the job you want.</p><p>Our Data Analyst Job Ready Program is your all-in-one solution to learn data analytics from scratch and also secure a job in this exciting industry. With our unique blend of comprehensive courses and career support, your dream job is within reach. We understand the challenges of transitioning into a new field, which is why our program is tailored to guide you every step of the way - from mastering core skills to landing your first job in data analytics. By choosing our Data Analyst Job Ready Program, you're not just gaining skills; you're gaining a lifelong career partner.</p><p><strong>Our mission is simple - to be your trusted partner every step of the way, from Training to Employment.</strong></p><p>Enrol Now and Kickstart Your Data Analytics Career. Don't miss this opportunity to transform your career with the Data Analyst Job Ready Program. With our comprehensive training, career support, and money-back guarantee, you're not just enrolling in a program; you're investing in a brighter future. Join us now and become a part of the next generation of data analysts!</p><p>In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Analysts, so we can help you get the job you want.</p><p>If you are not happy with our service, we also offer a <strong>100% money-back guarantee</strong>. So what are you waiting for? Enrol in our Data Analyst Job Ready Program today and start your journey to becoming a successful Data Analyst!</p><p><strong>Why Choose Us?</strong></p><p>So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Analyst Job Ready Program:</p><ul><li><strong>Personalised Guidance: </strong>Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some experience, we will guide you towards honing your skills and developing a strong foundation in Business Analysis.<br /><br /></li><li><strong>One-On-One Consultation Sessions with Experts: </strong>Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Analyst field.<br /><br /></li><li><strong>Extensive Job Opportunities:</strong> We have established partnerships with numerous companies actively seeking Data analysts. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.<br /><br /></li><li><strong>Interview Preparation:</strong> We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.<br /><br /></li><li><strong>100% Money-Back Guarantee: </strong>Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee.</li></ul><p><strong>Courses we will provide once you enrol in the program:</strong></p><ul><li><strong>Course 01: </strong>Introduction to Data Analysis</li><li><strong>Course 02: </strong>Business and Data Analytics for Beginners</li><li><strong>Course 03: </strong>Data Analytics with Tableau</li><li><strong>Course 04: </strong>Quick Data Science Approach from Scratch</li><li><strong>Course 05: </strong>Learn MySQL from Scratch for Data Science and Analytics</li><li><strong>Course 06: </strong>SQL for Data Science, Data Analytics and Data Visualization</li><li><strong>Course 07: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong>Course 08: </strong>Basic Google Data Studio</li><li><strong>Course 09: </strong>R Programming for Data Science</li><li><strong>Course 10: </strong>Python Data Science with Numpy, Pandas and Matplotlib</li><li><strong>Course 11: </strong>Complete Python Machine Learning &amp; Data Science Fundamentals</li><li><strong>Course 12: </strong>2021 Data Science &amp; Machine Learning with R from A-Z</li><li><strong>Course 13: </strong>Microsoft Excel Complete Course</li><li><strong>Course 14: </strong>Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong>Course 15: </strong>Data Center Training Essentials: General Introduction</li><li><strong>Course 16: </strong>Excel Data Analysis</li><li><strong>Course 17: </strong>Data Entry Administrator Training</li><li><strong>Course 18: </strong>SQL Masterclass: SQL For Data Analytics</li><li><strong>Course 19: </strong>Business Data Analysis</li><li><strong>Course 20: </strong>Master JavaScript with Data Visualization</li></ul><p><strong>How Can We Offer Job Guarantees?</strong></p><p>HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.</p> <p><strong>The Data Analyst Job Ready Program with Career Support &amp; Money Back Guarantee is completed in 9 easy steps:</strong></p><p><strong>Step 1: Enrol in the Programme</strong></p><p>Begin your exciting journey with us by enrolling in the Data and Business Intelligence Analyst Job Ready Program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.</p><p>After you enrol in the Program, you will get lifetime access to 6 premium courses related to Web Development. These courses will teach you the knowledge and skills required to become a successful Data and Business Intelligence Analyst. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!</p><p><strong>Step 2: Initial One-On-One Counselling Session</strong></p><p>Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.</p><p><strong>Step 3: Certification upon Course Completion</strong></p><p>After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.</p><p><strong>Step 4: CV Revamping</strong></p><p>Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the finance industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.</p><p><strong>Step 5: Building Network and Submitting CV</strong></p><p>We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.</p><p><strong>Step 6: Interview Preparation</strong></p><p>With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.</p><p><strong>Step 7: Securing Job Interviews</strong></p><p>Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.</p><p><strong>Step 8: Post-Interview Support</strong></p><p>Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.</p><p><strong>Step 9: Celebrate Your New Job!</strong></p><p>Once you've secured your dream job in web development, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.</p><p>We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful Data and Business Intelligence Analyst career begins with us.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        1000 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><strong>This Data Analyst Job Ready Program is perfect for:</strong></p><ul><li>Beginners eager to break into the field of data analytics and get a job.</li><li>Professionals looking to move their career towards data science.</li><li>Individuals seeking a comprehensive understanding of data analysis tools and techniques.</li><li>Those aiming for a career upgrade with advanced analytics skills.</li><li>Anyone interested in gaining practical, job-ready skills in data analytics and machine learning.</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Data Analyst Job Ready Program will help you get a job in different roles, such as:</p><ul><li>Entry-Level Data Analyst: £25,000 - £35,000</li><li>Mid-Level Data Analyst: £35,000 - £60,000</li><li>Senior Data Analyst: £50,000 - £80,000</li><li>Data Scientist: £40,000 - £100,000</li><li>Data Analytics Manager: £60,000 - £100,000</li><li>Business Intelligence Analyst: £30,000 - £75,000</li><li>Machine Learning Engineer: £45,000 - £80,000</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

***Offer Ends Today***
Earn up to 40K as a 'DATA ANALYST' or Your 100% Money Back
Do you know that entry-level data analysts earn an average of £40,000 annually, with the potential to quickly earn six figures with experience and expertise? Are you looking to join the high-demand field of data analytics and earn a handsome salary? Our Data Analyst Job Ready Program is here to guide you all the way until you get the job you want.
Our Data Analyst Job Ready Program is your all-in-one solution to learn data analytics from scratch and also secure a job in this exciting industry. With our unique blend of comprehensive courses and career support, your dream job is within reach. We understand the challenges of transitioning into a new field, which is why our program is tailored to guide you every step of the way - from mastering core skills to landing your first job in data analytics. By choosing our Data Analyst Job Ready Program, you're not just gaining skills; you're gaining a lifelong career partner.
Our mission is simple - to be your trusted partner every step of the way, from Training to Employment.
Enrol Now and Kickstart Your Data Analytics Career. Don't miss this opportunity to transform your career with the Data Analyst Job Ready Program. With our comprehensive training, career support, and money-back guarantee, you're not just enrolling in a program; you're investing in a brighter future. Join us now and become a part of the next generation of data analysts!
In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Analysts, so we can help you get the job you want.
If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Analyst Job Ready Program today and start your journey to becoming a successful Data Analyst!
Why Choose Us?
So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Analyst Job Ready Program:
Personalised Guidance: Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some experience, we will guide you towards honing your skills and developing a strong foundation in Business Analysis.
One-On-One Consultation Sessions with Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Analyst field.
Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data analysts. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere.
Interview Preparation: We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress.
100% Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee.
Courses we will provide once you enrol in the program:
Course 01: Introduction to Data Analysis
Course 02: Business and Data Analytics for Beginners
Course 03: Data Analytics with Tableau
Course 04: Quick Data Science Approach from Scratch
Course 05: Learn MySQL from Scratch for Data Science and Analytics
Course 06: SQL for Data Science, Data Analytics and Data Visualization
Course 07: Statistics & Probability for Data Science & Machine Learning
Course 08: Basic Google Data Studio
Course 09: R Programming for Data Science
Course 10: Python Data Science with Numpy, Pandas and Matplotlib
Course 11: Complete Python Machine Learning & Data Science Fundamentals
Course 12: 2021 Data Science & Machine Learning with R from A-Z
Course 13: Microsoft Excel Complete Course
Course 14: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query
Course 15: Data Center Training Essentials: General Introduction
Course 16: Excel Data Analysis
Course 17: Data Entry Administrator Training
Course 18: SQL Masterclass: SQL For Data Analytics
Course 19: Business Data Analysis
Course 20: Master JavaScript with Data Visualization
How Can We Offer Job Guarantees?
HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector.
The Data Analyst Job Ready Program with Career Support & Money Back Guarantee is completed in 9 easy steps:
Step 1: Enrol in the Programme
Begin your exciting journey with us by enrolling in the Data and Business Intelligence Analyst Job Ready Program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied.
After you enrol in the Program, you will get lifetime access to 6 premium courses related to Web Development. These courses will teach you the knowledge and skills required to become a successful Data and Business Intelligence Analyst. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing!
Step 2: Initial One-On-One Counselling Session
Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path.
Step 3: Certification upon Course Completion
After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject.
Step 4: CV Revamping
Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the finance industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently.
Step 5: Building Network and Submitting CV
We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile.
Step 6: Interview Preparation
With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills.
Step 7: Securing Job Interviews
Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want.
Step 8: Post-Interview Support
Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job.
Step 9: Celebrate Your New Job!
Once you've secured your dream job in web development, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role.
We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful Data and Business Intelligence Analyst career begins with us.
 CPD 
1000 CPD hours / points  Accredited by CPD Quality Standards
 Who is this course for? 
This Data Analyst Job Ready Program is perfect for:
Beginners eager to break into the field of data analytics and get a job.
Professionals looking to move their career towards data science.
Individuals seeking a comprehensive understanding of data analysis tools and techniques.
Those aiming for a career upgrade with advanced analytics skills.
Anyone interested in gaining practical, job-ready skills in data analytics and machine learning.
 Career path 
This Data Analyst Job Ready Program will help you get a job in different roles, such as:
Entry-Level Data Analyst: £25,000 - £35,000
Mid-Level Data Analyst: £35,000 - £60,000
Senior Data Analyst: £50,000 - £80,000
Data Scientist: £40,000 - £100,000
Data Analytics Manager: £60,000 - £100,000
Business Intelligence Analyst: £30,000 - £75,000
Machine Learning Engineer: £45,000 - £80,000
 Certificates 
CPD Accredited e-Certificate
 Digital certificate - Included 
CPD Accredited Framed (Hardcopy) Certificate
 Hard copy certificate - Included 
Enrolment Letter
 Digital certificate - Included 
QLS Endorsed Hard Copy Certificate
 Hard copy certificate - Included 
Student ID Card
 Digital certificate - Included 

Academy for Health and Fitness

Data Engineering

HR Analytics

Data Analyst Job Guarantee Program with Career Support & Money Back Guarantee

<p><span>Embark on a transformative journey into data analytics with our comprehensive course. Discover the power of data &amp; analytics through engaging modules designed to equip you with skills and knowledge. Whether you're a novice or a seasoned professional, this data analytics course is your gateway to unlocking the potential of big data analytics.</span></p>
<p><span>From understanding the basics like what is data analytics and harnessing the power of statistics to mastering data visualisation tools, each step is crafted to empower you with the tools necessary to navigate the world of data analytics confidently.</span></p>
<p><span>With the Google Data Analytics Professional Certificate, you'll gain invaluable insights and practical experience that can catapult you into lucrative data analytics jobs. From enhancing your employability to boosting your earning potential, this course opens doors to a myriad of opportunities in this field.</span></p>
<h4><span>Learning Outcomes:</span></h4>
<ol>
<li><span>Acquire a solid foundation in data analytics principles and techniques.</span></li>
<li><span>Develop proficiency in using various data analytics tools and software.</span></li>
<li><span>Gain skills in data mining, storage, and visualisation.</span></li>
<li><span>Cultivate a data-analytic mindset to tackle complex problems effectively.</span></li>
<li><span>Explore career pathways in data science with confidence and clarity.</span></li>
</ol>
<h3><b>Why buy this Data Analytics Course?</b></h3>
<ol>
<li><span>Unlimited access to the course for a lifetime.</span></li>
<li><span>Opportunity to earn a certificate accredited by the </span><strong><span>CPD Quality Standards</span></strong><span> and </span><strong><span>CIQ </span></strong><span>after completing this course.</span></li>
<li><span>Structured lesson planning in line with industry standards.</span></li>
<li><span>Immerse yourself in innovative and captivating course materials and activities.</span></li>
<li><span>Assessments designed to evaluate advanced cognitive abilities and skill proficiency.</span></li>
<li><span>Flexibility to complete the Course at your own pace, on your own schedule.</span></li>
<li><span>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</span></li>
<li><span>Unlock career resources for CV improvement, interview readiness, and job success.</span></li>
</ol>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials of the </span><b>Data Analytics</b><span> there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60.</span></p>
<h3><b>Who is this Data Analytics course for?</b></h3>
<ul>
<li><span>Aspiring data analysts seeking to kickstart their careers.</span></li>
<li><span>Professionals looking to enhance their skillset in this field.</span></li>
<li><span>Students interested in exploring the fascinating world of data science.</span></li>
<li><span>Entrepreneurs aiming to leverage analytics for business growth.</span></li>
<li><span>Individuals seeking to transition into lucrative data analytics jobs.</span></li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Data Analytics</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>Data Analytics</b><span> was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h3><b>Career path</b></h3>
<ul>
<li><strong><span>Data Analyst:</span></strong><span> £25,000 - £50,000 Per Annum</span></li>
<li><strong><span>Data Scientist:</span></strong><span> £30,000 - £70,000 Per Annum</span></li>
<li><strong><span>Business Intelligence Analyst:</span></strong><span> £28,000 - £55,000 Per Annum</span></li>
<li><strong><span>Data Engineer:</span></strong><span> £35,000 - £65,000 Per Annum</span></li>
<li><strong><span>Database Administrator:</span></strong><span> £25,000 - £55,000 Per Annum</span></li>
<li><strong><span>Analytics Manager:</span></strong><span> £40,000 - £80,000 Per Annum</span></li>
</ul><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Introduction to the World of Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to the World of Data</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Basics of Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basics of Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:40:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Statistics for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Statistics for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Actions Taken in the Data Analysis Process</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Actions Taken in the Data Analysis Process</td>
					<td> </td>
					<td><span><i></i> 00:55:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Gathering the Right Information</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Gathering the Right Information</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Storing Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Storing Data</td>
					<td> </td>
					<td><span><i></i> 01:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Data Mining</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Mining</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Excel for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Excel for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Tools for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Tools for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 10: Data-Analytic Thinking</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data-Analytic Thinking</td>
					<td> </td>
					<td><span><i></i> 01:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 11: Data Visualisation That Clearly Describes Insights</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation That Clearly Describes Insights</td>
					<td> </td>
					<td><span><i></i> 00:45:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 12: Data Visualisation Tools</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation Tools</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Google Data Analytics

Marketing Analytics

<div>
						<div>
				<div>
									<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
								<div>
				<p><span>Register on the Data Analytics today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career.</span></p><p><span>The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials.</span></p><p><span>Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as proof of your course completion.</span></p><p><span>The Data Analytics is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones.</span></p><p><span>The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly!</span></p><h5><b>What You Get With The Data Analytics </b></h5><ul><li><span>Receive a e-certificate upon successful completion of the course</span></li><li><span>Get taught by experienced, professional instructors</span></li><li><span>Study at a time and pace that suits your learning style</span></li><li><span>Get instant feedback on assessments </span></li><li><span>24/7 help and advice via email or live chat</span></li><li><span>Get full tutor support on weekdays (Monday to Friday)</span></li></ul>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<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>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Course Design</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<div id="course-home"><div><p><span>The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.</span></p><p><span>You are taught through a combination of</span></p><ul><li><span>Video lessons</span></li><li><span>Online study materials</span></li></ul></div></div>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Certification</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99.</span></p>					</div>
						</div>
				</div>
				<div>
				<div>
			<h2>Who Is This Course For:</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
				<section>
						<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
			<h2>Requirements:</h2>		</div>
				</div>
				<div>
				<div>
								<div>
				<p><span>The online training is open to all students and has no formal entry requirements. To study the Data Analytics, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16.</span></p>					</div>
						</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
									</div>
			</div>
					</div><div>
				<h3>Course Content</h3>

<div id="course_curriculum">
<table width="100%">				<tbody><tr>
					<td colspan="4">Module 01: Introduction to the World of Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to the World of Data</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Basics of Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basics of Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:40:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Statistics for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Statistics for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Actions Taken in the Data Analysis Process</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Actions Taken in the Data Analysis Process</td>
					<td> </td>
					<td><span><i></i> 00:55:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Gathering the Right Information</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Gathering the Right Information</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Storing Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Storing Data</td>
					<td> </td>
					<td><span><i></i> 01:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Data Mining</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Mining</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Excel for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Excel for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 09: Tools for Data Analytics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Tools for Data Analytics</td>
					<td> </td>
					<td><span><i></i> 01:20:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 10: Data-Analytic Thinking</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data-Analytic Thinking</td>
					<td> </td>
					<td><span><i></i> 01:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 11: Data Visualisation That Clearly Describes Insights</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation That Clearly Describes Insights</td>
					<td> </td>
					<td><span><i></i> 00:45:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 12: Data Visualisation Tools</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualisation Tools</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Data Analytics</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
			<h2>Frequently Asked Questions</h2>
                        <div>
                            <div>
                                <span>
                                    Are there any prerequisites for taking the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        There are no specific prerequisites for this course, nor
                                        are there any formal entry requirements. All you need is
                                        an internet connection, a good understanding of English
                                        and a passion for learning for this course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I access the course at any time, or is there a set
                                    schedule?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        You have the flexibility to access the course at any time
                                        that suits your schedule. Our courses are self-paced,
                                        allowing you to study at your own pace and convenience.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How long will I have access to the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        For this course, you will have access to the course
                                        materials for 1 year only. This means you can review the
                                        content as often as you like within the year, even after
                                        you've completed the course. However, if you buy Lifetime
                                        Access for the course, you will be able to access the
                                        course for a lifetime.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Is there a certificate of completion provided after
                                    completing the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Yes, upon successfully completing the course, you will
                                        receive a certificate of completion. This certificate can
                                        be a valuable addition to your professional portfolio and
                                        can be shared on your various social networks.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    Can I switch courses or get a refund if I'm not satisfied
                                    with the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        We want you to have a positive learning experience. If
                                        you're not satisfied with the course, you can request a
                                        course transfer or refund within 14 days of the initial
                                        purchase.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    How do I track my progress in the course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        Our platform provides tracking tools and progress
                                        indicators for each course. You can monitor your progress,
                                        completed lessons, and assessments through your learner
                                        dashboard for the course.
                                    </p>
                                </div>
                            </div>
                        </div>
                        
                        <div>
                            <div>
                                <span>
                                    What if I have technical issues or difficulties with the
                                    course?
                                </span>
                                <div>
                                    <span></span>
                                </div>
                            </div>
                            <div>
                                <div>
                                    <p>
                                        If you encounter technical issues or content-related
                                        difficulties with the course, our support team is
                                        available to assist you. You can reach out to them for
                                        prompt resolution.
                                    </p>
                                </div>
                            </div>
                        </div>

Janets

<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>

<hr />

<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>

<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					<div>
			<div></div>
		</div>
				</div>
				</div>
				<div>
				<div>
			
				</div>
				<div>
				<div>
					<div><p>Start your journey to becoming an expert in data analytics with our engaging online course, Data Analytics with Tableau. Created for all levels, this course has been carefully put together to provide an in-depth understanding of data analysis using Tableau, a leading data visualization tool.</p><p>The course begins with an overview of Tableau and its important features. You'll learn why Tableau is a must-know tool for data analysts and how it helps make sense of large data sets. Then, we'll get our hands dirty with real-world projects. These projects are designed to mimic real business scenarios, like analyzing sales and profits, assessing HR performance, and studying stock price movements. As you work through these projects, you'll learn how to apply Tableau's capabilities to different business problems.</p><p>Beyond working with data, you'll also gain valuable insights into storytelling with data. This is an important skill in data analytics because it allows you to communicate your findings in an easily understandable way. By the end of the course, you'll be able to create visually appealing and informative data visualizations that can help drive decision-making.</p><p>The course also includes a bonus module on database concepts to equip you with a rounded understanding of data management. This knowledge, coupled with your new Tableau skills, will set you on the right path in your data analytics career. On completion, you'll earn a certificate that signifies your expertise in using Tableau for data analytics.</p></div>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</div></section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Develop a strong understanding of data analytics using Tableau.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Master the art of Tableau storytelling.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Understand database concepts to enhance data management.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Create effective data-driven business strategies.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Work confidently with different types of data.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
					</div>
				</div>
				<div>
				<div>
					
			</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Enhance your career prospects in the field of data analytics.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Translate complex data into understandable insights.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Learn to create compelling data stories.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Earn a certificate to validate your learning.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Experience a curriculum filled with examples and essential projects.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Career Path</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Data Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Business Intelligence Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Tableau Consultant</span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Analytics Specialist</span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Visualization Expert</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
				<section>
						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Basic understanding of data concepts.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Interest in learning data analytics.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Reliable internet connection for online learning.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
                            			<div>
				

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Module 01: Introduction to the Course</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Introduction to the Course</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>What is Tableau?An Introduction to Tableau</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>How this course is Structured</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Installing the Free Full Version of Tableau</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 02: Project 1: Discount Mart (Sales and Profit Analytics)</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Project Brief for Discount Mart</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Connecting and Preparing Data for Discount Mart</td><td><span>🕐 00:15:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau for Discount Mart (Part 1)</td><td><span>🕐 00:33:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau for Discount Mart (Part 2)</td><td><span>🕐 00:16:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Creating Headline Cards on Tableau for Discount Mart</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building and Publishing Dashboards on Tableau</td><td><span>🕐 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 03: Project 2: Green Destinations (HR Analytics)</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Project Brief for Green Destinations</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Connecting and Preparing Data for Green Destinations</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau (Part 1) for Green Destinations</td><td><span>🕐 00:29:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau (Part 2) for Green Destinations</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Creating Headline Cards on Tableau</td><td><span>🕐 00:15:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building a Dashboard for Green Destinations</td><td><span>🕐 00:12:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Publish your Dashboard to Tableau Public</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 04: Project 3: Superstore (Sales Agent Tracker)</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Project Brief for Super Store</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Connecting and Preparing Data for Super Store</td><td><span>🕐 00:17:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau (Part 1) for Super Store</td><td><span>🕐 00:34:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau (Part 2) for Super Store</td><td><span>🕐 00:23:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building a Dashboard</td><td><span>🕐 00:18:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Publish your Dashboard to Tableau Public</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 05: Northwind Trade (Shipping Analytics)</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Project Brief for Northwind Trade</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Connecting and Preparing Data for Northwind Trade</td><td><span>🕐 00:14:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Charts on Tableau for Northwind Trade</td><td><span>🕐 00:37:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building and Publishing Dashboards for Northwind Trade</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 06: Project 5: Tesla (Stock Price Analytics)</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Project Brief for Tesla</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Creating a Data Source through Google Sheet Functions</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Connect to the Data for Tesla</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building Charts on Tableau for Tesla</td><td><span>🕐 00:22:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building Headline Cards</td><td><span>🕐 00:09:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Building a Tesla Dashboard</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Publish your Dashboard to Tableau Public</td><td><span>🕐 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 07: Bonus: Introduction to Database Concepts</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Introduction to Database Concepts</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Understanding Relational Databases</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Relationships of Database Entities</td><td><span>🕐 00:02:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Primary and Foreign Keys</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Data types and Naming Conventions</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Module 08: Tableau Stories</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Creating Stories on Tableau</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Resources </strong></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Resources - Data Analytics with Tableau</td><td><span>🕐 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Become a certified Tableau Data Analyst through our Data Analytics course. Gain the skills to analyze and visualize data using Tableau.

Data Analytics with Tableau

<div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
					</div>
				</div>
				<div>
				<div>
					<div><p>The comprehensive Data Analytics with Tableau has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Data Analytics with Tableau today, and learn from the very best the industry has to offer!</p></div>
				</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div><div>
							<div>
					<div>
			<div>
							<div>
						<div>
				<div>
					<div><p>This best selling Data Analytics with Tableau has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Data Analytics with Tableau is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Data Analytics with Tableau is CPD-accredited, so you can be confident you're completing a quality training course which will boost your CV and enhance your career potential. The Data Analytics with Tableau is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Data Analytics with Tableau, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Data Analytics with Tableau will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Data Analytics with Tableau to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
				</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>

Course Cloud

<p>Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified<strong> Data Science and Data Analytics</strong> bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our <strong> 33</strong> course mega bundle that will exceed your expectations within your budget.</p><p>The<strong> Data Science and Data Analytics</strong> related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then <strong>StudyHub </strong>proposes a preparatory bundle. This comprehensive <strong>Data Science and Data Analytics</strong> bundle will help you build a solid foundation to become a proficient worker in the sector.</p><p><strong>This Data Science and Data Analytics Bundle consists of the following</strong><strong> 30 </strong><strong>CPD Accredited Premium courses - </strong></p><ul><li>Course 01:SQL Programming Masterclass</li><li>Course 02:SQL Server for Beginners</li><li>Course 03:SQL NoSQL Big Data and Hadoop</li><li>Course 04:Microsoft SQL Server Development for Everyone</li><li>Course 05:Javascript Programming for Beginners</li><li>Course 06:Master JavaScript with Data Visualization</li><li>Course 07:Computer Vision: C++ and OpenCV with GPU support</li><li>Course 08:Functional Skills IT</li><li>Course 09:CompTIA Healthcare IT Technician</li><li>Course 10:Basic Google Data Studio</li><li>Course 11:Data Analytics with Tableau</li><li>Course 12:Recovering from a Job Loss in Technology</li><li>Course 13:AutoCAD Programming using C# with Windows Forms</li><li>Course 14:AutoCAD Programming using VB.NET with Windows Forms</li><li>Course 15:AutoCAD to Excel - VBA Programming Hands-On!</li><li>Course 16:AutoCAD VBA Programming - Beginner course</li><li>Course 17:IT Support Technician Training</li><li>Course 18:Admin Support Assistant</li><li>Course 19:Building Your Own Computer Course</li><li>Course 20:Neuro-linguistic Programming (NLP) Diploma</li><li>Course 21:Cyber Security Incident Handling and Incident Response</li><li>Course 22:Computer Networks Security</li><li>Course 23:IT Asset Department</li><li>Course 24:C# Programming - Beginner to Advanced</li><li>Course 25:jQuery: JavaScript and AJAX Coding Bible</li><li>Course 26:Kotlin Programming : Android Coding</li><li>Course 27:Quick Data Science Approach from Scratch</li><li>Course 28:Secure Programming of Web Applications</li><li>Course 29:A-Frame Web VR Programming</li><li>Course 30:Complete AutoLISP Programming</li></ul><p><strong>3 </strong><strong>Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques-</strong></p><ul><li>Course 01: Career Development Plan Fundamentals</li><li>Course 02: CV Writing and Job Searching</li><li>Course 03: Interview Skills: Ace the Interview</li></ul><p><strong>Learning Outcome</strong></p><p><strong>This tailor-made </strong><strong>Data Science and Data Analytics</strong><strong> bundle will allow you to-</strong></p><ul><li>Uncover your skills and aptitudes to break new ground in the related fields</li><li>Deep dive into the fundamental knowledge</li><li>Acquire some hard and soft skills in this area</li><li>Gain some transferable skills to elevate your performance</li><li>Maintain good report with your clients and staff</li><li>Gain necessary office skills and be tech savvy utilising relevant software</li><li>Keep records of your work and make a report</li><li>Know the regulations around this area</li><li>Reinforce your career with specific knowledge of this field</li><li>Know your legal and ethical responsibility as a professional in the related field</li></ul> <p>This Data Science and Data Analytics Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.</p><p><strong>Certification</strong></p><p>After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and <strong>1 hardcopy certificate for the Title Course completely free</strong>. Other Hard Copy certificates need to be ordered at an additional cost of •8.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        330 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>Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Data Science and Data Analytics bundle! This bundle is also ideal for professionals looking for career advancement.</p><p><strong>Please Note</strong>: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>To participate in this 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 Science and Data Analytics</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.</p>
                        </div>

474 Courses delivered Online

Analytics Training - CPD Certified

By Apex Learning

The STATA OMNIBUS: Regression and Modelling with STATA

By Packt

Sports Management: Navigating the Business of Sports

By Studyhub UK

IT and Analytics Courses - 8 Courses Bundle

By NextGen Learning

Sports Industry Insights Course

By Training Express

Power BI Data Analyst (PL300)

By Online Productivity Training

Basics of Data Science

By Studyhub UK

Advanced Analytics with Python

By Nexus Human

Diploma in Data Science Course

By One Education

QUALIFI Level 7 Diploma in Information Technology

By School of Business and Technology London