Name: Data Analyst (Data Analytics) Course
Price: 12 GBP
Availability: InStock

<p>Unlock the power of data with our '<strong>Data Analytics with Tableau</strong>' course, a gateway to visualising and understanding your business's most crucial insights. Whether you're analysing sales, human resources, or stock prices, our expertly curated projects will equip you with the prowess to transform raw data into actionable strategies. With Tableau at your fingertips, you'll navigate diverse datasets from Discount Mart's profits to Tesla's stock prices, and more. This course isn't just about data; it's about weaving compelling stories that drive decision-making, all while delving into the foundations of database concepts.</p>
<p><strong>Learning Outcomes</strong></p>
<ul>
<li>Understand the core functionalities of Tableau for data visualisation.</li>
<li>Analyse and interpret datasets from various business domains such as sales, HR, and stock markets.</li>
<li>Craft Tableau stories that effectively communicate insights and drive decisions.</li>
<li>Acquire foundational knowledge of database concepts pertinent to data analytics.</li>
<li>Gain proficiency in executing projects and transforming business questions into analytical solutions.</li>
</ul>
<h3><b>Why choose this Certificate in Data Analytics with Tableau at QLS Level 3<span> course</span>?</b></h3>
<ul>
<li>Unlimited access to the course for a lifetime.</li>
<li>Opportunity to earn a certificate accredited by the <b>CPD Quality Standards</b><b> </b>after completing this course.</li>
<li>Structured lesson planning in line with industry standards.</li>
<li>Immerse yourself in innovative and captivating course materials and activities.</li>
<li>Assessments are designed to evaluate advanced cognitive abilities and skill proficiency.</li>
<li>Flexibility to complete the course at your own pace, on your own schedule.</li>
<li>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</li>
</ul>
<h3><b>Who is this Certificate in Data Analytics with Tableau at QLS Level 3</b><b><span> </span></b><b>for?</b></h3>
<ul>
<li>Individuals seeking to elevate their data visualisation skills using Tableau.</li>
<li>Business analysts and consultants aiming to harness the power of data-driven storytelling.</li>
<li>Marketing professionals keen on deriving actionable insights from data.</li>
<li>Finance and HR professionals looking to analyse datasets effectively.</li>
<li>Entrepreneurs aiming to make data-driven decisions for their enterprises.</li>
</ul>
<h3><b>Career path</b></h3>
<ul>
<li><strong>Data Analyst</strong>: £25,000 - £40,000</li>
<li><strong>Tableau Developer</strong>: £30,000 - £55,000</li>
<li><strong>Business Intelligence Analyst</strong>: £28,000 - £50,000</li>
<li><strong>Data Visualisation Expert</strong>: £32,000 - £57,000</li>
<li><strong>HR Analytics Specialist</strong>: £29,000 - £52,000</li>
<li><strong>Stock Market Data Analyst</strong>: £27,000 - £48,000</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Certificate in Data Analytics with Tableau at QLS Level 3</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course</span><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>Certification</b></h3>
<p><span>After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.</span></p>
<p><b>Endorsed Certificate of Achievement from the Quality Licence Scheme</b></p>
<p>Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10.</p>
<p><b>Endorsement</b></p>
<p>The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards.</p>
<p>Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.</p><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"> Module 01: Introduction to the Course</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to the Course</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is Tableau?An Introduction to Tableau</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>How this course is Structured</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Installing the Free Full Version of Tableau</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 02: Project 1: Discount Mart (Sales and Profit Analytics)</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Project Brief for Discount Mart</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Connecting and Preparing Data for Discount Mart</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building Charts on Tableau for Discount Mart (Part 1)</td>
					<td> </td>
					<td><span><i></i> 00:33:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building Charts on Tableau for Discount Mart (Part 2)</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Headline Cards on Tableau for Discount Mart</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building and Publishing Dashboards on Tableau</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 03: Project 2: Green Destinations (HR Analytics)</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Project Brief for Green Destinations</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Connecting and Preparing Data for Green Destinations</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building Charts on Tableau (Part 1) for Green Destinations</td>
					<td> </td>
					<td><span><i></i> 00:28:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building Charts on Tableau (Part 2) for Green Destinations</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Headline Cards on Tableau</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building a Dashboard for Green Destinations</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Publish your Dashboard to Tableau Public</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 04: Project 3: Superstore (Sales Agent Tracker)</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Project Brief for Super Store</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Connecting and Preparing Data for Super Store</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building Charts on Tableau (Part 1) for Super Store</td>
					<td> </td>
					<td><span><i></i> 00:34:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building Charts on Tableau (Part 2) for Super Store</td>
					<td> </td>
					<td><span><i></i> 00:23:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building a Dashboard</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Publish your Dashboard to Tableau Public</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 05: Northwind Trade (Shipping Analytics)</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Project Brief for Northwind Trade</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Connecting and Preparing Data for Northwind Trade</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building Charts on Tableau for Northwind Trade</td>
					<td> </td>
					<td><span><i></i> 00:37:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building and Publishing Dashboards for Northwind Trade</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 06: Project 5: Tesla (Stock Price Analytics)</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Project Brief for Tesla</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating a Data Source through Google Sheet Functions</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Connect to the Data for Tesla</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building Charts on Tableau for Tesla</td>
					<td> </td>
					<td><span><i></i> 00:22:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building Headline Cards</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Building a Tesla Dashboard</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Publish your Dashboard to Tableau Public</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 07: Bonus: Introduction to Database Concepts</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Database Concepts</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Understanding Relational Databases</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Relationships of Database Entities</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Primary and Foreign Keys</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data types and Naming Conventions</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 08: Tableau Stories</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Stories on Tableau</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Resources</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Resources - Certificate in Data Analytics with Tableau at QLS Level 3</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Assignment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Assignment - Certificate in Data Analytics with Tableau at QLS Level 3</td>
					<td> </td>
					<td><span><i></i> 04:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Order your QLS Endorsed Certificate</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order your QLS Endorsed Certificate</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Tableau Desktop Specialist

Business Analytics & Intelligence

Certificate in Further Education & Training (Cert Ed)

Tableau

QTLS

Data Analyst

Certificate in Data Analytics with Tableau at QLS Level 3

General Admission

<p>Data Analytics and Business Intelligence course teaches you everything on the topic thoroughly from scratch so you can achieve a certificate for free to showcase your achievement in professional life.</p><p>This Data Analytics and Business Intelligence course is a comprehensive course designed to provide a detailed understanding of the nature of the related sector and your key roles within it.</p><p>The training materials of this Data Analytics and Business Intelligence course are available online for you to learn at your own pace and fast-track your career with ease.</p><p>Data Analytics and Business Intelligence Combo Training Included:</p><ul><li><strong>Course 01: </strong>Data Analytics</li><li><strong>Course 02: </strong>Business Intelligence Analyst</li></ul><p><strong>Key Features </strong></p><ul><li>CPD Accredited Data Analytics and Business Intelligence courses</li><li>Instant 2 PDF certificate</li><li>Fully online, interactive Data Analytics and Business Intelligence course with audio voiceover</li><li>Self-paced learning and laptop, tablet, smartphone-friendly</li><li>24/7 Learning Assistance</li><li>Discounts on bulk purchases</li></ul><p><strong>Enrol now in this </strong><strong>Data Analytics and Business Intelligence</strong><strong> course to excel! </strong></p><p>To become successful in your profession, you must have a specific set of skills to succeed in today's competitive world. In this in-depth Data Analytics and Business Intelligence training course, you will develop the most in-demand skills to kickstart your career, as well as upgrade your existing knowledge &amp; skills.</p><p>The curriculum of the Data Analytics and Business Intelligence course has been designed by experts with years of experience behind them which is extremely dynamic and well-paced to help you understand the subject matter with ease.</p><p><strong>Curriculum</strong></p><p><strong>Course 01: Data Analytics</strong></p><ul><li>Module 01: Introduction to the World of Data</li><li>Module 02: Basics of Data Analytics</li><li>Module 03: Statistics for Data Analytics</li><li>Module 04: Actions Taken in the Data Analysis Process</li><li>Module 05: Gathering the Right Information</li><li>Module 06: Storing Data</li><li>Module 07: Data Mining</li><li>Module 08: Excel for Data Analytics</li><li>Module 09: Tools for Data Analytics</li><li>Module 10: Data-Analytic Thinking</li><li>Module 11: Data Visualisation That Clearly Describes Insights</li><li>Module 12: Data Visualisation Tools</li></ul><p><strong>Course 02: Business Intelligence Analyst</strong></p><ul><li>Module 01: An Introduction to Business Intelligence</li><li>Module 02: Real-time Business Intelligence</li><li>Module 03: Fundamentals of Statistics and Data Science</li><li>Module 04: Fundamentals of SQL</li><li>Module 05: Database Management Essentials</li><li>Module 06: Data Warehouse Concepts</li><li>Module 07: Data Visualisation in Business Intelligence</li><li>Module 08: Basics of Python</li></ul><p><strong>Accreditation</strong></p><p>All of our courses are fully accredited, including this Data Analytics and Business Intelligence course, 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>Certification</strong></p><p>Once you've successfully completed your Data Analytics and Business Intelligence course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99).</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>This course is ideal for all employees or anyone who genuinely wishes to learn more about Data Analytics and Business Intelligence basics.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No prior degree or experience is required to enrol in this course.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.</p> </div>

                        </div>

Training Express

Data Analytics and Business Intelligence Course

<p>The ICDL/ECDL Online Preparation Training Course is a comprehensive program designed to provide you with the knowledge and skills necessary to effectively use computer technology in a variety of settings. The CDL/ECDL Online Preparation Training course is delivered entirely online, providing you with the flexibility to learn at your own pace and on your own schedule.</p><p>Throughout the CDL/ECDL Online Preparation Training course, you will learn about a variety of computer software programs, including Microsoft Excel, Power BI, and PowerPoint. They will also gain a thorough understanding of cybersecurity, including how to protect personal information, identify online threats, and use secure passwords.</p><p><strong>ICDL/ECDL Preparation Courses Are:</strong></p><ul><li><strong>Course 01: </strong>Microsoft Word, PowerPoint &amp; Outlook (Word Processing)</li><li><strong>Course 02:</strong> Microsoft Excel</li><li><strong>Course 03: </strong>Microsoft Power BI</li><li><strong>Course 04</strong>: Graphics Design</li><li><strong>Course 05: </strong>Web Design and WordPress Training</li><li><strong>Course 06:</strong> Digital Marketing</li><li><strong>Course 07:</strong> Data Analytics</li><li><strong>Course 08: </strong>Cyber Security</li><li><strong>Course 09:</strong> GDPR Training</li><li><strong>Course 10:</strong> Information Management</li><li><strong>Course 11:</strong> Computer Maintenance</li><li><strong>Course 12:</strong> Computer Hacking Forensic Investigator</li></ul><p><strong>Key Features of CDL/ECDL Online Preparation Training</strong></p><ul><li>CPD Certified</li><li>Free PDF Certificate of course completion</li><li>Lifetime Access</li></ul><p>ICDL/ECDL Online Training Course provides you with a thorough understanding of computer technology and the tools and techniques necessary to use it effectively in a variety of settings. The CDL/ECDL Online Preparation Training course is designed to be flexible and accessible, making it an excellent option for individuals looking to enhance their computer skills and improve their job prospects.</p><p>The <strong>ICDL/ECDL Online Training</strong> is divided into 12 courses, each of which focuses on a different aspect of computer technology. These courses include computer maintenance, digital marketing, data analytics, cybersecurity awareness training, information management, and more. Each CDL/ECDL Online Preparation Training course is designed to provide participants with a thorough understanding of the topic and the tools and techniques necessary to effectively use computer technology in real-world scenarios.</p><p>Upon completion of the <strong>ICDL/ECDL Online Training </strong>course, participants will have a broad understanding of computer technology and will be able to effectively use a variety of software programs and online tools. This knowledge and skillset will be invaluable in a variety of settings, from small businesses to large corporations.</p><p><strong>Certificate of CDL/ECDL Online Preparation Training</strong></p><p>After completion of the CDL/ECDL Online Preparation Training courses, you will get FREE PDF certificates.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p><strong>Disclaimer</strong>: This is not a regulated course and doesn't provide any formal qualification. It aims to provide the basic preparation for ICDL/ECDL. However, to be get professional certification, you may like to choose:</p><ul><li>BCS Level 1 Award in IT User Skills (ECDL Essentials) (ITQ)</li><li>BCS Level 2 Certificate in IT User Skills (ECDL Core)</li><li>BCS Level 2 Certificate in IT User Skills (ECDL Extra) (ITQ)</li><li>BCS Level 2 ECDL Award in IT User Skills</li><li>BCS Level 2 ECDL Certificate in IT User Skills</li><li>BCS Level 3 Certificate in IT User Skills (ICDL Advanced) (ITQ)</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Digital Marketing Specialist</li><li>Data Analyst</li><li>Information Technology Manager</li><li>Cybersecurity Analyst</li><li>Software Engineer</li><li>Business Analyst</li><li>Social Media Manager</li><li>Project Manager</li><li>IT Support Specialist</li><li>Web Developer</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion (PDF)</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

ICDL/ECDL Online Preparation Courses - CPD Accredited Certification

<p>Jumpstart your Data Analytics Career with Tableau by solving Realistic Analytics Projects. Learn Data Visualisation!</p><p>Tableau is a powerful tool for analysing data and uncovering insights. It provides an easy-to-use interface that allows users to quickly create visualisations and dashboards to explore data. Tableau is a great tool for data exploration and discovery, as it allows users to quickly analyse large datasets and uncover patterns and trends.</p><p>In this course, You will construct six distinct dashboards in this course that each represent a<strong> real-world </strong>issue. You'll discover how to connect to a range of data sources, including <strong>cloud servers and Excel files</strong>. Additionally, you'll discover how to create interactive dashboards and upload them to Tableau Online to demonstrate your abilities to potential companies and link these in your resume.</p><p><strong>What you'll learn</strong></p><ul><li>You'll comprehend the inner workings of the data analytics pipeline by the end of this course, from merging, filtering, and extracting data to creating dashboards.</li><li>Create five interactive dashboards and display them online to build a strong work history for your resume.</li><li>Connect to several data sources, including servers, Google Sheets, and Excel!</li><li>Be able to use maps, line charts, donut charts, and bar charts to create in-depth analyses.</li><li>Gain a thorough knowledge of how Tableau's calculations operate.</li><li>Learning how to join data sources in Tableau and the many sorts of joins</li><li>Engage in set-based work and level-of-detail calculations</li><li>Recognise how Tableau's Groups and Hierarchies Operate.</li></ul><p>When you finish this course, you'll be an expert user of <strong>Tableau </strong> who can apply all you've learned to advance your career in data and analytics.</p><p><strong>Key Benefits</strong></p><ul><li>Learning materials of the Design course contain engaging voiceover and visual elements for your comfort.</li><li>Get 24/7 access to all content for a full year.</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li></ul><p>This course is designed with the following modules:</p><p><strong>***Introduction to Data Analytics with Tableau***</strong></p><ul><li>Module 01:Introduction to the Course</li><li>Module 02:Project 1: Discount Mart (Sales and Profit Analytics)</li><li>Module 03:Project 2: Green Destinations (HR Analytics)</li><li>Module 04:Project 3: Superstore (Sales Agent Tracker)</li><li>Module 05:Northwind Trade (Shipping Analytics)</li><li>Module 06:Project 5: Tesla (Stock Price Analytics)</li><li>Module 07:Bonus: Introduction to Database Concepts</li><li>Module 08:Tableau Stories</li></ul><p><strong>Course Assessment </strong></p><p>To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%.</p><p>When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme.</p><p><strong>Certificate of Achievement</strong></p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>After successfully completing the Diploma in Data Analytics with Tableau course, learners will be able to order an endorsed certificate as proof of their achievement. Hardcopy of this certificate of achievement endorsed by the Quality Licence Scheme can be ordered and received straight to your home by post, by paying</p><ul><li>Within the UK: £119</li><li>International: £119 + £10 (postal charge) = £129</li><li>CPD Accredited Certification from One Education</li></ul><p>After successfully completing this Diploma in Data Analytics with Tableau course, you will qualify for the CPD accredited certificate from One Education. Certification is available in both PDF &amp; hardcopy format, which can be received by paying -</p><ul><li>PDF Certificate: £9</li><li>Hardcopy Certificate (within the UK): £15</li><li>Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        150 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>This course is for anyone who wants to kickstart their career in Data Analytics.</li><li>This course is for anyone who wants to learn more about Tableau</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Diploma in Data Analytics with Tableau course is open to all, with no formal entry requirements.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After successfully completing this course, you can develop your confidence and pursue possibilities such as-</p><ul><li>Data analytics manager</li><li>Financial analyst</li><li>Scientist</li><li>Machine learning engineer</li></ul><p>The salary range for data analysts in the UK is £23,000 to £62,000 per year.</p>
                        </div>

One Education

Diploma in Data Analytics with Tableau Course

<p><strong>24 Hours Left! Enrol Now in this Data Analyst Course!</strong></p><p>Today's world revolves around data. Organisations across all industries increasingly depend on Data Analysts to make crucial business decisions. So, if you want to collect, evaluate, and understand data using various methods and business intelligence tools and further enhance your Data Analyst skills, our comprehensive Data Analyst course is perfect for you. Designed for success, this Data Analyst course covers everything from basics to advanced topics in Data Analyst.</p><p>Each lesson in this Data Analyst course is crafted for easy understanding, enabling you to become proficient in Data Analyst. Whether you are a beginner or looking to sharpen your existing skills, this Data Analyst is the ideal choice.</p><p><strong>Learning Outcomes of Data Analyst course:</strong></p><ul><li>Introduce yourself to the critical concepts of analysing data.</li><li>Know how to build, change, and format charts.</li><li>Become well-versed in working with multiple worksheets and workbooks.</li><li>Master the key aspects of modifying a worksheet.</li><li>Discover how to work with lists.</li><li>Understand how to use PivotTables, PivotCharts, Lookup Functions, and Formula Auditing.</li><li>Explore the process of applying data validation, searching for invalid data and formulas with errors, and working with macros.</li><li>Find out how to automate workbook functionality, create sparklines, and map data.</li></ul><p><strong>Why Prefer this Course? </strong></p><ul><li>Get a Free CPD Accredited Certificate upon completion of Data Analyst</li><li>Get a free student ID card with Data Analyst Training</li><li>Get instant access to this Data Analyst course.</li><li>Learn Data Analyst from anywhere in the world</li><li>The Data Analyst is affordable and simple to understand</li><li>The Data Analyst is an entirely online, interactive lesson with voiceover audio</li><li>Lifetime access to the Data Analyst course materials</li><li>The Data Analyst comes with 24/7 tutor support</li></ul> <p><strong>Start your Data Analyst Diploma journey straightaway!</strong></p><p>This Data Analyst's curriculum has been designed by Data Analyst experts with years of Data Analyst experience behind them. The Data Analyst course is extremely dynamic and well-paced to help you understand Data Analyst with ease. You'll discover how to master the Data Analyst skill while exploring relevant and essential topics.</p><p><strong>*** Course Curriculum ***</strong></p><p>Here is the curriculum breakdown of this course:</p><ul><li>Module 01: Modifying a Worksheet</li><li>Module 02: Working with Lists</li><li>Module 03: Analysing Data</li><li>Module 04: Visualizing Data with Charts</li><li>Module 05: Using Pivot Tables and Pivot Charts</li><li>Module 06: Working with Multiple Worksheets and Workbooks</li><li>Module 07: Using Lookup Functions and Formula Auditing</li><li>Module 08: Automating Workbook Functionality</li><li>Module 09: Creating Sparklines and Mapping Data</li><li>Module 10: Forecasting Data</li></ul><p><strong>Assessment Process</strong></p><p>After passing the <strong>Diploma in Data Analyst </strong>exam, you will be able to request a certificate with additional cost that has been endorsed by the Quality Licence Scheme.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        150 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>Data Analyst Diploma</strong></p><ul><li>Anyone willing to gain a better understanding.</li><li>Already working in this field and want to learn more about Data Analyst</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

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

                        <div id="career_path">
                            <p><strong>Career Path:</strong></p><ul><li>Data Analyst</li><li>Data Scientist</li><li>Data Analytics Manager</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Certificate</h4>
        <p>
            Digital certificate -
            £10
        </p>
        <h4>Diploma in Data Analysis at QLS Level 5</h4>
        <p>
            Hard copy certificate -
            £119
        </p>
            <div><p><strong>Show off Your New Skills with a Certificate of Completion</strong></p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>After successfully completing the <strong>Diploma in Data Analysis at QLS Level 5</strong>, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of -</p><ul><li><strong>119 GBP inside the UK</strong></li><li><strong>129 GBP (including postal fees) for international delivery</strong></li></ul><p><strong>CPD Accredited Certificate</strong></p><p>Upon finishing the Data Analyst (Data Analytics)course, you need to order to receive a <strong>Certificate Accredited by CPD</strong> that is accepted all over the UK and also internationally. The pricing schemes are:</p><ul><li><strong>29 GBP</strong> for Printed Hardcopy Certificate inside the UK</li><li><strong>39 GBP</strong> for Printed Hardcopy Certificate outside the UK (international delivery)</li></ul></div>

                        </div>

Academy for Health and Fitness

Data Analyst (Data Analytics)- CPD Certified

<p><strong>Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now</strong></p> <p>Data analytics is a rapidly expanding discipline, and talented analysts are highly sought after in all industries. The UK and multinational organizations will undoubtedly see an increase in demand for skilled analysts in the coming years. We have created an 11-in-1 bundle course with a distinctive design to help you stand out in the related job market. It will guide you on how to read, evaluate, and display data in a way that is clear to all users and helps guide decisions.</p> <p>Along with this IT and Analytics course, you will get <strong>10 premium courses, an original </strong><strong>Hardcopy</strong>, <strong>11 PDF Certificates (Main Course + Additional Courses) </strong>Student ID card as gifts.</p> <p><strong>This Bundle Consists of the following Premium IT and Analytics courses: </strong></p> <ul> <li><strong> Course 01: </strong>Introduction to Data Analysis</li><li><strong> Course 02: </strong>Quick Data Science Approach from Scratch</li><li><strong> Course 03: </strong>Excel Pivot Tables</li><li><strong> Course 04: </strong>Google Data Studio: Data Analytics</li><li><strong> Course 05: </strong>Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</li><li><strong> Course 06: </strong>Business Intelligence and Data Mining Masterclass</li><li><strong> Course 07: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong> Course 08: </strong>RCA: Root Cause Analysis</li><li><strong> Course 09: </strong>Master JavaScript with Data Visualization</li><li><strong> Course 10: </strong>CompTIA CySA+ Cybersecurity Analyst (CS0-002)</li><li><strong> Course 11: </strong>Electronic Document Management System Step</li></ul> <p><strong>Learning Outcomes</strong></p> <ul> <li>Get an overview of data analysis.</li><li>Familiarise yourself with the data science approach from the ground up.</li><li>Learn the link between google data studio and data analytics.</li><li>Explore various Excel data tools and management.</li><li>Gain a better understanding of statistics and probability in terms of data science.</li><li>Learn the fundamentals of Root cause analysis.</li><li>Learn javascript and data visualization.</li><li>Get introduced to the CSO-002.</li><li>Get insight into electronic document management systems.</li></ul><p><strong>Curriculum</strong></p> <p><strong> Course 01: Introduction to Data Analysis</strong></p> <ul> <li>Introduction</li><li>Agenda and Principles of Process Management</li><li>The Voice of the Process</li><li>Working as One Team for Improvement</li><li>Exercise: The Voice of the Customer</li><li>Tools for Data Analysis</li><li>The Pareto Chart</li><li>The Histogram</li><li>The Run Chart</li><li>Exercise: Presenting Performance Data</li><li>Understanding Variation</li><li>The Control Chart</li><li>Control Chart Example</li><li>Control Chart Special Cases</li><li>Interpreting the Control Chart</li><li>Control Chart Exercise</li><li>Strategies to Deal with Variation</li><li>Using Data to Drive Improvement</li><li>A Structure for Performance Measurement</li><li>Data Analysis Exercise</li><li>Course Project</li><li>Test your Understanding</li></ul> <p><strong>---------- Other Courses Are ----------</strong></p> <p><strong> Course 02: Quick Data Science Approach from Scratch</strong></p> <p><strong> Course 03: Excel Pivot Tables</strong></p> <p><strong> Course 04: Google Data Studio: Data Analytics</strong></p> <p><strong> Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</strong></p> <p><strong> Course 06: Business Intelligence and Data Mining Masterclass</strong></p> <p><strong> Course 07: Statistics &amp; Probability for Data Science &amp; Machine Learning</strong></p> <p><strong> Course 08: RCA: Root Cause Analysis</strong></p> <p><strong> Course 09: Master JavaScript with Data Visualization</strong></p> <p><strong> Course 10: CompTIA CySA+ Cybersecurity Analyst (CS0-002)</strong></p> <p><strong> Course 11: Electronic Document Management System Step</strong></p> <p><strong>How will I get my Certificate?</strong></p> <p>After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p> <ul> <li><strong>PDF Certificate: Free (Previously it was £6*11 = £66)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course: Previously it was £10)</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                             <ul> <li>Anyone trying to get into the IT industry.</li><li>Anyone who wants to better comprehend the role of IT and business analytics.</li><li>Professionals who are looking to optimize business processes.</li></ul> 
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>This course has been designed to be fully compatible with tablets and smartphones, so you can access your course on Wi-Fi, 3G or 4G.</p> 
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>This bundle course is a very engaging course and is proven to be beneficial to the many careers</p> 
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div> <p>Certificate of completion is included in course price.</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>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p> </div>

                        </div>

Apex Learning

IT and Data Analytics

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

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

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

<hr />

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

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

<hr />

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

<hr />

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

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

<hr />

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

<hr />

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

<hr />

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

<hr />

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

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

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

Data Engineering

Big Data Analytics

Data Science

Data Analytics with Tableau

<p><strong>Best Price Of The Market</strong></p> <p>Give a compliment to your career and take it to the next level. This<strong> Database Administrator </strong>bundle will provide you with the essential knowledge to shine in your professional career. Whether you want to develop skills for your next job or elevate your skills for your next promotion, this Database Administrator bundle will help you stay ahead of the pack.</p> <p>Throughout the Database Administrator programme, it stresses how to improve your competency as a person in your chosen field while also outlining essential career insights in the relevant job sector.</p> <p>Along with this Database Administrator course, you will get <strong>10 premium courses, an original</strong><strong>hardcopy</strong>, <strong>11 PDF certificates (Main Course + Additional Courses) </strong>Student ID card as gifts.</p> <p><strong>This Database Administrator 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>Data Center Training Essentials: General Introduction</li><li><strong> </strong><strong>Course 03: </strong>Data Analytics with Tableau<strong><br /></strong></li><li><strong> </strong><strong>Course 04: </strong>Basic Google Data Studio</li><li><strong> </strong><strong>Course 05: </strong>Complete Google Analytics Course</li><li><strong> </strong><strong>Course 06: </strong>Python for Data Analysis</li><li><strong> </strong><strong>Course 07: </strong>Data Analysis in Excel Level 3 Course</li><li><strong> </strong><strong>Course 08: </strong>Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong> </strong><strong>Course 09: </strong>GDPR Data Protection Level 5</li><li><strong> </strong><strong>Course 10: </strong>Level 3 Cyber Security</li><li><strong> </strong><strong>Course 11: </strong>Encryption</li></ul> <p>Enrol now in Database Administrator to advance your career, and use the premium study materials from Apex Learning.</p> <p><strong>How will I get my Certificate?</strong></p> <p>After successfully completing the Database Administrator course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p> <ul> <li><strong></strong><strong> PDF Certificate: Free (Previously it was </strong> <strong>£</strong><strong>10 * 11 = </strong><strong>£</strong><strong>110)</strong></li><li><strong></strong><strong> Hard Copy Certificate: Free (For The Title Course)</strong></li></ul> <p>PS The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.</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 Database Administrator 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>Curriculum of Bundle</strong></p> <p><strong> Course 01: Introduction to Data Analysis</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</li></ul> <p><strong> Course 02: Data Center Training Essentials: General Introduction</strong></p> <ul> <li>Module 01: Data Center Introduction</li><li>Module 02: Data Center Reliability</li><li>Module 03: Data Center Equipment</li><li>Module 04: Data Center White Space</li><li>Module 05: Data Center Support Spaces</li><li>Module 06: Data Center Security, Safety, Networks and IT</li></ul> <p><strong> Course 03: Data Analytics with Tableau</strong></p> <ul> <li>Module 01: Introduction to the Course</li><li>Module 02: Project 1: Discount Mart (Sales and Profit Analytics)</li><li>Module 03: Project 2: Green Destinations (HR Analytics)</li><li>Module 04: Project 3: Superstore (Sales Agent Tracker)</li><li>Module 05: Northwind Trade (Shipping Analytics)</li><li>Module 06: Project 5: Tesla (Stock Price Analytics)</li><li>Module 07: Bonus: Introduction to Database Concepts</li><li>Module 08: Tableau Stories</li></ul> <p><strong> Course 04: Basic Google Data Studio</strong></p> <ul> <li>Module 01: Introduction to GDS</li><li>Module 02: Data Visualization</li><li>Module 03: Geo-visualization</li><li>Module 04: A Socio-Economic Case Study</li></ul> <p><strong> Course 05: Complete Google Analytics Course</strong></p> <ul> <li>Module 01: Overview</li><li>Module 02: Navigation and Admin</li><li>Module 03: Creating a New Google Analytics Account</li><li>Module 04: Website Account Creation</li><li>Module 05: Connecting To WordPress Website</li><li>Module 06: Connecting To HTML Site</li><li>Module 07: Connect Custom Page and Site Builders</li><li>Module 08: Setting Up Annotations</li><li>Module 09: Setting Up Intelligence Events</li><li>Module 10: Set Up Custom Segments</li><li>Module 11: Export Data for Analysis</li><li>Module 12: Set Up Custom Reports</li><li>Module 13: Set Up Google Integrations</li><li>Module 14: Google Analytics Templates</li><li>Module 15: Real Time Reporting</li><li>Module 16: Setting Up Goals</li><li>Module 17: Third Party Integrations</li><li>Module 18: Audience Menu Overview</li><li>Module 19: Interests and Geography</li><li>Module 20: Conclusion</li></ul> <p><strong> Course 06: Python for Data Analysis</strong></p> <ul> <li>Welcome, Course Introduction &amp; overview, and Environment set-up</li><li>Python Essentials</li><li>Python for Data Analysis using NumPy</li><li>Python for Data Analysis using Pandas</li><li>Python for Data Visualization using matplotlib</li><li>Python for Data Visualization using Seaborn</li><li>Python for Data Visualization using pandas</li><li>Python for interactive &amp; geographical plotting using Plotly and Cufflinks</li><li>Capstone Project - Python for Data Analysis &amp; Visualization</li><li>Python for Machine Learning (ML) - scikit-learn - Linear Regression Model</li><li>Python for Machine Learning - scikit-learn - Logistic Regression Model</li><li>Python for Machine Learning - scikit-learn - K Nearest Neighbors</li><li>Python for Machine Learning - scikit-learn - Decision Tree and Random Forests</li><li>Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs)</li><li>Python for Machine Learning - scikit-learn - K Means Clustering</li><li>Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)</li><li>Recommender Systems with Python - (Additional Topic)</li><li>Python for Natural Language Processing (NLP) - NLTK - (Additional Topic)</li></ul> <p><strong> Course 07: Data Analysis in Excel Level 3 Course</strong></p> <ul> <li>Modifying a Worksheet</li><li>Working with Lists</li><li>Analyzing Data</li><li>Visualizing Data with Charts</li><li>Using PivotTables and PivotCharts</li><li>Working with Multiple Worksheets and Workbooks</li><li>Using Lookup Functions and Formula Auditing</li><li>Automating Workbook Functionality</li><li>Creating Sparklines and Mapping Data</li><li>Forecasting Data</li></ul> <p><strong> Course 08: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</strong></p> <ul> <li>Introduction</li><li>Prepaid Expenses Models: Resources Download</li><li>Accounting for Prepaid Expenses</li><li>Excel Formulas Detailed: Introduction to three Excel Models</li><li>Formula Based Prepaid Expenses Model</li><li>Calculate Prepaid Expenses Amortisation from Exact Start Date</li><li>Prepaid Expenses Summary with Power Query and Pivot Table</li><li>Advanced VBA Prepaid Expenses Amortisation Model</li><li>BONUS: Dynamic Dashboard for Divisional Profit and Loss statements: Easy Way</li><li>Power Query &amp; Pivot Tables based Dashboard without any Formulas, Fully Dynamic</li><li>Thankyou</li></ul> <p><strong> Course 09: GDPR Data Protection Level 5</strong></p> <ul> <li>Module 01: GDPR Basics</li><li>Module 02: GDPR Explained</li><li>Module 03: Lawful Basis for Preparation</li><li>Module 04: Rights and Breaches</li><li>Module 05: Responsibilities and Obligations</li></ul> <p><strong> Course 10: Level 3 Cyber Security</strong></p> <ul> <li>FUNDAMENTALS OF NETWORKING</li><li>GETTING STARTED WITH CYBER SECURITY</li><li>LET'S BEGIN - THE FUNDAMENTALS OF CYBER SECURITY</li><li>DIVING DEEP INTO CYBER SECURITY</li><li>TYPES OF ACTORS, ATTACKS, MALWARE AND RESOURCES</li><li>FIREWALLS AND ANTIVIRUS</li><li>KEY SECURITY CONCEPTS</li></ul> <p><strong> Course 11: Encryption</strong></p> <ul> <li>Section 01: Introduction</li><li>Section 02: Basics of Common Encryption</li><li>Section 03: Technical Aspects of Encryption</li><li>Section 04: AES Basic Tech Demo</li><li>Section 05: File and System Encryption</li><li>Section 06: Conclusion</li></ul><h2>
        
        <div>CPD</div>
    </h2>

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

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

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

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

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div>    <p>P.S. The delivery charge inside the UK is £3.99, and the international students have to pay £9.99.</p>    </div>

                        </div>

Database Administrator

<p><strong>** 13-in-1 Data Analysis Bundle **</strong></p><p><strong>Unleash Your Full Data Analysis Potential with Our Comprehensive Bundle!</strong></p><p>Are you ready to elevate your data analysis skills to a whole new level? Look no further! Our Data Analysis Bundle is the ultimate solution you've been searching for.</p><p>In today's data-driven world, being proficient in a single aspect of data analysis is just not enough. That's why we've carefully curated a bundle of courses that complement each other seamlessly, creating a holistic and powerful learning experience.</p><p><strong>The Data Analysis Bundle includes the following courses:</strong></p><ol><li>Diploma in Data Analytics with Tableau</li><li>Data Analytics</li><li>Google Data Studio: Data Analytics</li><li>Big Data Analytics with PySpark Power BI and MongoDB</li><li>Big Data Analytics with PySpark Tableau Desktop and MongoDB</li><li>Learn MySQL from Scratch for Data Science and Analytics</li><li>SQL for Data Science, Data Analytics and Data Visualization</li><li>Data Analysis In Excel</li><li>Diploma in Data Analysis Fundamentals</li><li>Business Data Analysis</li><li>Data Science &amp; Machine Learning with Python</li><li>R Programming for Data Science</li><li>Learn Python, JavaScript, and Microsoft SQL for Data science</li></ol><p><strong>Course Significant Points:</strong></p><ul><li>Quality Licence Scheme Endorsed</li><li>CPD Accredited Course</li><li>Unlimited Retake Exam &amp; Tutor Support</li><li>Easy Accessibility to the Course Materials</li><li>100% Learning Satisfaction Guarantee</li><li>Lifetime Access &amp; 24/7 Support</li><li>Self-paced online course Modules</li><li>Covers to Explore Multiple Job Positions</li></ul><p><strong>How is the course assessed?</strong></p><p>To assess your learning, you have to complete the assignment questions provided at the end of the course. You have to score at least 60% to pass the exam and to qualify for Quality Licence Scheme endorsed and CPD-accredited certificates. After passing the assignment exam, you will be able to apply for a certificate.</p><p><strong>Meet the Endorsement</strong></p><p>The Quality Licence Scheme has been designed specifically to recognise high-quality courses. In addition, the QLS certificate enriches your CV and recognises your quality study on the relevant subject.</p><p><strong>Meet the Accreditation</strong></p><p>CPD Quality Standards (CPD QS) accreditation assures the Data Analysis with Excel course training and learning activities are relevant, reliable, and up to date.</p><p><strong>**Enrol Today and Unleash Your Full Data Analysis Potential!** </strong></p><p>The Data Analysis Bundle is a comprehensive collection of courses designed to equip individuals with the skills and knowledge necessary for a successful career in data analysis. From foundational concepts to advanced techniques and tools, this bundle covers a wide range of topics in the field of data analysis. Whether you're a beginner looking to get started or a professional seeking to enhance your skills, these courses provide a well-rounded education in data analysis.</p><p><strong>**Diploma in Data Analytics with Tableau**</strong></p><ul><li>Introduction To The Course</li><li>Project 1: Discount Mart (Sales And Profit Analytics)</li><li>Project 2: Green Destinations (HR Analytics)</li><li>Project 3: Superstore (Sales Agent Tracker)</li><li>Northwind Trade (Shipping Analytics)</li><li>Project 5: Tesla (Stock Price Analytics)</li><li>Bonus: Introduction To Database Concepts</li><li>Tableau Stories</li></ul><p><strong>**Data Analytics**</strong></p><ul><li>Introduction To The World Of Data</li><li>Basics Of Data Analytics</li><li>Statistics For Data Analytics</li><li>Actions Taken In The Data Analysis Process</li><li>Gathering The Right Information</li><li>Storing Data</li><li>Data Mining</li><li>Excel For Data Analytics</li><li>Tools For Data Analytics</li><li>Data-Analytic Thinking</li><li>Data Visualisation That Clearly Describes Insights</li><li>Data Visualisation Tools</li></ul><p><strong>**Google Data Studio: Data Analytics**</strong></p><ul><li>Introduction</li><li>Google Sheets</li><li>Google Data Studio</li></ul><p><strong>**Big Data Analytics with PySpark Tableau Desktop and MongoDB**</strong></p><ul><li>Introduction</li><li>Setup And Installations</li><li>Data Processing With PySpark And MongoDB</li><li>Machine Learning With PySpark And MLlib</li><li>Creating The Data Pipeline Scripts</li><li>Tableau Data Visualization</li><li>Source Code</li></ul><p><strong>**Learn MySQL from Scratch for Data Science and Analytics**</strong></p><ul><li>Getting Started</li><li>SQL Server Setting Up</li><li>SQL Database Basics</li><li>SQL DML (Data Manipulation Language)</li><li>SQL DDL (Data Definition Language)</li><li>SQL DCL (Data Control Language)</li><li>SQL Statement Basic</li><li>Filtering Data Rows</li><li>Aggregate Functions For Data Analysis</li><li>SQL Data Analyticstatements</li><li>SQL Group By Statement</li><li>JOINS</li><li>SQL Constraints</li><li>Views</li><li>Advanced SQL Functions</li><li>SQL Stored Procedures</li><li>Import &amp; Export Data</li><li>Backup And Restore Database</li></ul><p><strong>**Data Analysis In Excel**</strong></p><ul><li>Modifying A Worksheet</li><li>Working With Lists</li><li>Analyzing Data</li><li>Visualizing Data With Charts</li><li>Using PivotTables And PivotCharts</li><li>Working With Multiple Worksheets And Workbooks</li><li>Using Lookup Functions And Formula Auditing</li><li>Automating Workbook Functionality</li><li>Creating Sparklines And Mapping Data</li><li>Forecasting Data</li></ul><p><strong>**Diploma in Data Analysis Fundamentals**</strong></p><ul><li>Introduction</li><li>Agenda And Principles Of Process Management</li><li>The Voice Of The Process</li><li>Working As One Team For Improvement</li><li>Exercise: The Voice Of The Customer</li><li>Tools For Data Analysis</li><li>The Pareto Chart</li><li>The Histogram</li><li>The Run Chart</li><li>Exercise: Presenting Performance Data</li><li>Understanding Variation</li><li>The Control Chart</li><li>Control Chart Example</li><li>Control Chart Special Cases</li><li>Interpreting The Control Chart</li><li>Control Chart Exercise</li><li>Strategies To Deal With Variation</li><li>Using Data To Drive Improvement</li><li>A Structure For Performance Measurement</li><li>Data Analysis Exercise</li><li>Course Project</li><li>Test Your Understanding</li></ul><p><strong>**Business Data Analysis**</strong></p><ul><li>Introduction To Business Analysis</li><li>Business Environment</li><li>Business Processes</li><li>Business Analysis Planning And Monitoring</li><li>Strategic Analysis And Product Scope</li><li>Solution Evaluation</li><li>Investigation Techniques</li><li>Ratio Analysis</li><li>Stakeholder Analysis And Management</li><li>Process Improvement With Gap Analysis</li><li>Documenting And Managing Requirements</li><li>Business Development And Succession Planning</li><li>Planning &amp; Forecasting Operations</li><li>Business Writing Skills</li></ul><p><strong>**Data Science &amp; Machine Learning with Python**</strong></p><ul><li>Course Overview &amp; Table Of Contents</li><li>Introduction To Machine Learning</li><li>System And Environment Preparation</li><li>Learn Basics Of Python - Assignment<br /><ul><li>Functions</li><li>Data Structures</li><li>NumPy Array</li><li>NumPy Data</li><li>NumPy Arithmetic</li><li>Learn Basics Of Matplotlib</li></ul></li><li>Learn Basics Of Pandas</li><li>Understanding The CSV Data File</li><li>Load And Read CSV Data File Using Python Standard Library<br /><ul><li>Using NumPy</li><li>Using Pandas</li></ul></li><li>Dataset Summary - Peek, Dimensions And Data Types<br /><ul><li>Class Distribution And Data Summary</li><li>Explaining Correlation</li><li>Explaining Skewness - Gaussian And Normal Curve</li></ul></li><li>Dataset Visualization - Using Histograms</li><li>Dataset Visualization - Using Density Plots</li><li>Dataset Visualization - Box And Whisker Plots</li><li>Multivariate Dataset Visualization - Correlation Plots</li><li>Multivariate Dataset Visualization - Scatter Plots</li><li>Data Preparation (Pre-Processing) - Introduction<br /><ul><li>Re-Scaling Data</li><li>Standardizing Data</li><li>Normalizing Data</li><li>Binarizing Data</li></ul></li><li>Feature Selection - Introduction<br /><ul><li>Uni-Variate Part</li><li>Recursive Feature Elimination</li><li>Principal Component Analysis (PCA)</li><li>Feature Importance</li></ul></li><li>Refresher Session - The Mechanism Of Re-Sampling, Training And Testing</li><li>Algorithm Evaluation Techniques - Introduction<br /><ul><li>Train And Test Set</li><li>K-Fold Cross Validation</li><li>Leave One Out Cross Validation</li><li>Repeated Random Test-Train Splits</li></ul></li><li>Algorithm Evaluation Metrics - Introduction<br /><ul><li>Classification Accuracy</li><li>Log Loss</li><li>Area Under ROC Curve</li><li>Confusion Matrix</li><li>Classification Report</li><li>Mean Absolute Error - Dataset Introduction</li><li>Mean Absolute Error</li><li>Mean Square Error</li><li>R Squared</li></ul></li><li>Classification Algorithm Spot Check - Logistic Regression<br /><ul><li>Linear Discriminant Analysis</li><li>K-Nearest Neighbors</li><li>Naive Bayes</li><li>CART</li><li>Support Vector Machines</li></ul></li><li>Regression Algorithm Spot Check - Linear Regression<br /><ul><li>Ridge Regression</li><li>Lasso Linear Regression</li><li>Elastic Net Regression</li><li>K-Nearest Neighbors</li><li>CART</li><li>Support Vector Machines (SVM)</li></ul></li><li>Compare Algorithms</li><li>Pipelines</li><li>Performance Improvement: Ensembles - Voting<br /><ul><li>Bagging</li><li>Boosting</li></ul></li><li>Performance Improvement: Parameter Tuning Using Grid Search</li><li>Performance Improvement: Parameter Tuning Using Random Search</li><li>Export, Save And Load Machine Learning Models : Pickle</li><li>Export, Save And Load Machine Learning Models : Joblib</li><li>Finalizing A Model - Introduction And Steps</li><li>Finalizing A Classification Model - The Pima Indian Diabetes Dataset</li><li>Quick Session: Imbalanced Data Set - Issue Overview And Steps</li><li>Iris Dataset : Finalizing Multi-Class Dataset</li><li>Finalizing A Regression Model - The Boston Housing Price Dataset</li><li>Real-Time Predictions: Using The Pima Indian Diabetes Classification Model</li><li>Real-Time Predictions: Using Iris Flowers Multi-Class Classification Dataset</li><li>Real-Time Predictions: Using The Boston Housing Regression Model</li></ul><p><strong>**R Programming for Data Science**</strong></p><ul><li>Data Science Overview</li><li>R And RStudio</li><li>Introduction To Basics</li><li>Vectors</li><li>Matrices</li><li>Factors</li><li>Data Frames</li><li>Lists</li><li>Relational Operators</li><li>Logical Operators</li><li>Conditional Statements</li><li>Loops</li><li>Functions</li><li>R Packages</li><li>The Apply Family - Lapply</li><li>The Apply Family - Sapply &amp; Vapply</li><li>Useful Functions</li><li>Regular Expressions</li><li>Dates And Times</li><li>Getting And Cleaning Data</li><li>Plotting Data In R</li><li>Data Manipulation With Dplyr</li></ul><p><strong>**Learn Python, JavaScript, and Microsoft SQL for Data science**</strong></p><ul><li>JavaScript Introduction</li><li>JavaScript Basics</li><li>JavaScript Operators</li><li>JavaScript Conditional Statements</li><li>JavaScript Control Flow Statements</li><li>JavaScript Functions</li><li>JavaScript Error Handling</li><li>JavaScript Client-Side Validations</li><li>Python Introduction</li><li>Python Basic</li><li>Python Strings</li><li>Python Operators</li><li>Python Data Structures</li><li>Python Conditional Statements</li><li>Python Control Flow Statements</li><li>Python Core Games</li><li>Python Functions</li><li>Python Args, KW Args For Data Science</li><li>Python Project</li><li>Python Object Oriented Programming [OOPs]</li><li>Python Methods</li><li>Python Class And Objects</li><li>Python Inheritance And Polymorphism</li><li>Python Encapsulation And Abstraction</li><li>Python OOPs Games</li><li>Python Modules And Packages</li><li>Python Error Handling</li><li>Microsoft SQL[MS] Introduction</li><li>MS SQL Statements</li><li>MS SQL Filtering Data</li><li>MS SQL Functions</li><li>MS SQL Joins</li><li>MS SQL Advanced Commands</li><li>MS SQL Structure And Keys</li><li>MS SQL Queries</li><li>MS SQL Structure Queries</li><li>MS SQL Constraints</li><li>MS SQL Backup And Restore</li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        270 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>Data Analysis course is ideal for:</strong></p><ul><li>Professionals working in fields such as finance, business, and healthcare who need to analyse data and make decisions based on their findings.</li><li>Students and researchers who want to develop their skills in data analysis and visualisation using Excel.</li><li>Individuals who are looking to pursue a career in data analysis and want to gain a foundational understanding of Excel and its capabilities.</li><li>Business owners and entrepreneurs who want to learn how to use Excel to analyse and interpret data for their own businesses.</li><li>Anyone who wants to improve their data analysis skills for personal or professional purposes and gain proficiency in Excel as a tool for data analysis.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no specific prerequisites to enrol in Data analysis course. <strong>Anyone and everyone</strong> can take this course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>The course will assist you in establishing a solid understanding of data analysis. After the course, you will be able to explore career options such as:</p><ul><li><strong>Data Analyst </strong>(Average annual salary £35,000)</li><li><strong>Research Analyst</strong> (Average annual salary £28,552)</li><li><strong>Business Analyst</strong> (Average annual salary £42,618)</li><li><strong>Risk Analyst </strong>(Average annual salary £41,340)</li><li><strong>Financial Analyst</strong> (Average annual salary £50,300)</li></ul>
                        </div>

Data Analyst : Data Analyst Course

<p><strong>Data Analyst (Data Analytics) Training - CPD Certified - Free Certificate - Free Microsoft Excel &amp; PowerBI for Data Analyst (Data Analytics)</strong></p><p><strong>[Updated 2024]</strong></p><p><strong>Introducing the Revolutionary Data Analyst Training Course: Unleash the Power of Data Analytics!</strong></p><p>Are you ready to unlock the secrets hidden within the vast ocean of data? Do you aspire to become a sought-after data analyst with the power to transform businesses, drive informed decisions, and create unparalleled value?</p><p>Presenting our exclusive Data Analyst (Data Analytics) Training Course, designed to catapult you to success in the high-demand world of Data Analytics. Our Data Analyst (Data Analytics) Training program combines theoretical knowledge, cutting-edge Data Analyst (Data Analytics) techniques, and immersive experiences that will set you apart in the data-driven world.</p><p><strong>Key Features of Data Analyst (Data Analytics) Training</strong></p><ul><li>CPD Accredited Data Analyst (Data Analytics) Training</li><li>An instant PDF certificate</li><li>Fully online, interactive Data Analyst (Data Analytics) training course with audio voiceover</li></ul><p><strong>Free Course</strong></p><ul><li><strong>Course 01: </strong>Microsoft Excel for Data Analyst (Data Analytics)</li><li><strong>Course 02: </strong>PowerBI</li></ul><p><strong>Data Analyst (Data Analytics) Course Curriculum</strong></p><ul><li><strong>Module 01</strong>: Introduction to Data Analyst (Data Analytics)</li><li><strong>Module 02:</strong> Agenda and Principles of Process Management</li><li><strong>Module 03:</strong> The Voice of the Process</li><li><strong>Module 04</strong>: Working as One Team for Improvement</li><li><strong>Module 05:</strong> Exercise: The Voice of the Customer</li><li><strong>Module 06</strong>: Tools for Data Analysis - Data Analyst (Data Analytics) Tools</li><li><strong>Module 07</strong>: The Pareto Chart</li><li><strong>Module 08</strong>: The Histogram</li><li><strong>Module 09:</strong> The Run Chart</li><li><strong>Module 10</strong>: Exercise: Presenting Performance Data</li><li><strong>Module 11</strong>: Understanding Variation</li><li><strong>Module 12:</strong> The Control Chart</li><li><strong>Module 13</strong>: Control Chart Example</li><li><strong>Module 14:</strong> Control Chart Special Cases</li><li><strong>Module 15:</strong> Interpreting the Control Chart</li><li><strong>Module 16:</strong> Control Chart Exercise</li><li><strong>Module 17:</strong> Strategies to Deal with Variation</li><li><strong>Module 18</strong>: Using Data to Drive Improvement</li><li><strong>Module 19</strong>: A Structure for Performance Measurement</li><li><strong>Module 20:</strong> Data Analysis Exercise for Data Analyst (Data Analytics)</li><li><strong>Module 21</strong>: Data Analyst (Data Analytics) Course Project</li><li><strong>Module 22:</strong> Test Data Analyst (Data Analytics) Understanding</li></ul><p><strong>Certification</strong></p><p>Once you've successfully completed your Data Analyst (Data Analytics) course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99).</p><p><strong>Assessment</strong></p><p>At the end of the Data Analyst (Data Analytics) course, there will be an online assessment, which you will need to pass to complete the course.</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">
                            <p>This Data Analyst (Data Analytics) course is suitable for:</p><ol><li>Aspiring Data Analysts</li><li>College Students &amp; Graduates</li><li>IT Professionals</li><li>Business Professionals</li><li>Entrepreneurs &amp; Small Business Owners</li><li>Researchers &amp; Academics</li><li>Career Changers</li></ol><p>Please note: This Data Analyst (Data Analytics) course doesn't provide professional qualifications. TO get qualified, you may like to choose:</p><ul><li>Certified Data Analysis Professional</li><li>Certified Data Visualization Professional</li><li>MCSE Data Management &amp; Analytics</li><li>Big data</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst</li><li>Business Intelligence Analyst</li><li>Data Scientist</li><li>Research Analyst</li><li>Data Visualization Specialist</li><li>Database Administrator</li><li>Marketing Analyst</li><li>Financial Analyst</li><li>Operations Analyst</li><li>Healthcare Data Analyst</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.</p></div>

                        </div>

Data Analyst (Data Analytics) Course

<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>

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;"><b data-stringify-type="bold" fr-original-style=" color: rgb(209, 210, 211);" style="color: rgb(209, 210, 211); box-sizing: border-box;" id="isPasted"><span fr-original-style="color: rgb(0, 0, 0);" style="color: rgb(0, 0, 0); box-sizing: border-box;">Welcome to Sports Management Leadership: Thriving in Sports Administration. In this course, you&#39;ll learn:<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></span></b></p><ol style="color: rgb(209, 213, 219); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(209, 213, 219);"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">What is Sports Management:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore the fundamental concepts and definitions of sports management.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Understand the role and significance of sports management in the modern sports industry.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Delve into the historical evolution of sports management as a field of study and practice.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Aspects of Sports Management:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Analyze the various dimensions of sports management, including organizational, operational, and strategic aspects.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Examine the key functions and responsibilities involved in effective sports management.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Professional Sports and Global Circuits:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Investigate the global landscape of professional sports.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore the structures and dynamics of international sports circuits.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Understand the impact of globalization on the sports industry.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Strategic Management in Sports:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn the principles of strategic planning and implementation in sports organizations.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Analyze case studies to understand successful strategic management in sports.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">The Sports Organizational Structure:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore the organizational structures of sports entities, from grassroots organizations to professional leagues.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Examine the roles and responsibilities within sports organizations.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Sports Finance Strategy and Analysis:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Gain insights into financial management within the sports industry.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn to develop financial strategies and analyze financial performance in sports organizations.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Leadership and Management in Sport:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Understand the qualities and skills essential for effective leadership in sports.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore different leadership styles and their applications in the sports context.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Business Administration and Sports Marketing:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore the intersection of business administration and sports marketing.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn strategies for effective sports marketing and brand management.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Conflict Management Strategies:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Develop skills to identify and manage conflicts within sports organizations.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore strategies for resolving conflicts and promoting a positive organizational culture.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Performance Management in Sports:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn about performance management techniques for athletes and sports teams.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Understand how to set goals, evaluate performance, and provide constructive feedback.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Using Data Analytics in Sports:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore the role of data analytics in sports decision-making.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn to use data-driven insights for player performance analysis and strategic planning.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Sporting Event Planning and Promotion:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Gain practical knowledge in planning and promoting sports events.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Understand the logistics, marketing, and operational aspects of successful sports events.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Sports Sponsorships and Its Types:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Explore the different types of sports sponsorships and their impact.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn how to secure and leverage sponsorships for sports organizations.</li></ul></li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong style="color: var(--tw-prose-bold); font-weight: 700; box-sizing: border-box;" fr-original-style=" color: var(--tw-prose-bold);">Sports Injuries and Management:</strong></p><ul style="color: initial; box-sizing: border-box;" fr-original-style="color: initial;"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Examine the common sports injuries and their management strategies.</li><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Learn about injury prevention, rehabilitation, and the role of sports medicine in athlete care.</li></ul></li></ol>

John Academy

Performance Management

Strategic Management

Conflict Management

Unlock the keys to success in the dynamic world of sports administration with our comprehensive 'Sports Management Leadership' course. From strategic planning to financial analysis, delve into the nuances of organizational structures, leadership in sports, and the global impact of professional circuits. Equip yourself with the skills to navigate sports finance, conflict resolution, data analytics, event planning, and more. Thrive in the sports industry with our expert-led curriculum, blending theory with real-world applications. Join us on the path to becoming a sports management leader and elevate your career in this exciting field!

Sports Management Leadership: Thriving in Sports Administration

<p>Unlock your potential and achieve your goals with our comprehensive online Sports Management Online Training courses! Dive into a world of knowledge and skill enhancement right from the comfort of your own home. Whether you're looking to advance your career, explore a new hobby, or simply expand your horizons, our Sports Management Online Training courses are designed to empower you every step of the way.</p><p><strong>Key Features</strong></p><p>The Sports Management Online Training course includes the following offers:</p><ul><li>CPD Quality Standards Accredited Sports Management Online Training Course</li><li>Lifetime Access</li><li>No Hidden Fees</li><li>24/7 Tutor Support</li><li>Certificate Available with reasonable price</li></ul><p>Discover a wealth of learning opportunities with our diverse range of online courses including Sports Management Online Training. From professional development to personal enrichment, we offer courses in a variety of subjects including business, technology, arts, languages, and more. This Sports Management Online Training course is carefully curated by industry experts and delivered through engaging multimedia content, interactive quizzes, and hands-on projects to ensure an immersive learning experience.</p><p><strong>Curriculum</strong></p><ul><li><strong>Module 01: What Is Sports Management</strong></li><li><strong>Module 02: Aspects Of Sports Management</strong></li><li><strong>Module 03: Professional Sports And Global Circuits</strong></li><li><strong>Module 04: Strategic Management In Sports</strong></li><li><strong>Module 05: The Sports Organisational Structure</strong></li><li><strong>Module 06: Sports Finance Strategy And Analysis</strong></li><li><strong>Module 07: Leadership And Management In Sport</strong></li><li><strong>Module 08: Business Administration And Sports Marketing</strong></li><li><strong>Module 09: Conflict Management Strategies</strong></li><li><strong>Module 10: Performance Management In Sports</strong></li><li><strong>Module 11: Using Data Analytics In Sports</strong></li><li><strong>Module 12: Sporting Event Planning And Promotion</strong></li><li><strong>Module 13: Sports Sponsorships And Its Types</strong></li><li><strong>Module 14: Sports Injuries And Management</strong></li></ul><p><strong>Why This Online Course is Better for You:</strong></p><p>Unlike traditional classroom settings, our online Sports Management Online Training course offers flexibility and convenience tailored to fit your busy lifestyle. With 24/7 access to Sports Management Online Training course materials and the ability to learn at your own pace, you can study whenever and wherever it's most convenient for you. Plus, our online platform provides a supportive community of fellow learners and dedicated instructors to guide you every step of the way.</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">
                            <p>Our Sports Management Online Training course is designed for anyone eager to expand their knowledge and skills, regardless of their background or experience level. Whether you're a working professional looking to upskill, a student seeking supplemental education, or an enthusiast pursuing a passion project, our courses are accessible to learners of all ages and abilities.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Invest in your future and unlock new career opportunities with our online Sports Management Online Training course. Gain valuable skills and credentials that are in high demand in today's competitive job market. Whether you're looking to switch careers, climb the corporate ladder, or start your own business, our Sports Management course provide the expertise and certification you need to succeed.</p>
                        </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>

Sports Management Online Training Course

<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>

Sports Industry Insights Course

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

Nexus Human

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

DP-203T00 Data Engineering on Microsoft Azure

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>Overview<p>Mining data Manipulating data Visualizing and reporting data Applying basic statistical methods Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle</p><p>CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. CompTIA Data+ gives you the confidence to bring data analysis to life. <br /><br /> As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making.</p></div><div id="course-pills-2"><h3>1 - Identifying Basic Concepts of Data Schemas</h3> <ul> <li>Identify Relational and Non-Relational Databases</li> <li>Understand the Way We Use Tables, Primary Keys, and Normalization</li> </ul> <h3>2 - Understanding  Different Data Systems</h3> <ul> <li>Describe Types of Data Processing and Storage Systems</li> <li>Explain How Data Changes</li> </ul> <h3>3 - Understanding  Types and  Characteristics of Data</h3> <ul> <li>Understand Types of Data</li> <li>Break Down the Field Data Types</li> </ul> <h3>4 - Comparing and  Contrasting Different  Data Structures,  Formats, and Markup  Languages</h3> <ul> <li>Differentiate between Structured Data and Unstructured Data</li> <li>Recognize Different File Formats</li> <li>Understand the Different Code Languages Used for Data</li> </ul> <h3>5 - Explaining  Data Integration and  Collection Methods</h3> <ul> <li>Understand the Processes of Extracting, Transforming, and Loading Data</li> <li>Explain API/Web Scraping and Other Collection Methods</li> <li>Collect and Use Public and Publicly-Available Data</li> <li>Use and Collect Survey Data</li> </ul> <h3>6 - Identifying  Common Reasons for  Cleansing and Profiling  Data</h3> <ul> <li>Learn to Profile Data</li> <li>Address Redundant, Duplicated, and Unnecessary Data</li> <li>Work with Missing Value</li> <li>Address Invalid Data</li> <li>Convert Data to Meet Specifications</li> </ul> <h3>7 - Executing  Different Data  Manipulation  Techniques</h3> <ul> <li>Manipulate Field Data and Create Variables</li> <li>Transpose and Append Data</li> <li>Query Data</li> </ul> <h3>8 - Explaining  Common Techniques for  Data Manipulation and  Optimization</h3> <ul> <li>Use Functions to Manipulate Data</li> <li>Use Common Techniques for Query Optimization</li> </ul> <h3>9 - Applying  Descriptive Statistical  Methods</h3> <ul> <li>Use Measures of Central Tendency</li> <li>Use Measures of Dispersion</li> <li>Use Frequency and Percentages</li> </ul> <h3>10 - Describing  Key Analysis Techniques</h3> <ul> <li>Get Started with Analysis</li> <li>Recognize Types of Analysis</li> </ul> <h3>11 - Understanding the Use  of Different Statistical  Methods</h3> <ul> <li>Understand the Importance of Statistical Tests</li> <li>Break Down the Hypothesis Test</li> <li>Understand Tests and Methods to Determine Relationships Between Variables</li> </ul> <h3>12 - Using the  Appropriate Type of  Visualization</h3> <ul> <li>Use Basic Visuals</li> <li>Build Advanced Visuals</li> <li>Build Maps with Geographical Data</li> <li>Use Visuals to Tell a Story</li> </ul> <h3>13 - Expressing  Business Requirements  in a Report Format</h3> <ul> <li>Consider Audience Needs When Developing a Report</li> <li>Describe Data Source Considerations For Reporting</li> <li>Describe Considerations for Delivering Reports and Dashboards</li> <li>Develop Reports or Dashboards</li> <li>Understand Ways to Sort and Filter Data</li> </ul> <h3>14 - Designing  Components for Reports  and Dashboards</h3> <ul> <li>Design Elements for Reports and Dashboards</li> <li>Utilize Standard Elements</li> <li>Creating a Narrative and Other Written Elements</li> <li>Understand Deployment Considerations</li> </ul> <h3>15 - Understand Deployment Considerations</h3> <ul> <li>Understand How Updates and Timing Affect Reporting</li> <li>Differentiate Between Types of Reports</li> </ul> <h3>16 - Summarizing the Importance of Data Governance</h3> <ul> <li>Define Data Governance</li> <li>Understand Access Requirements and Policies</li> <li>Understand Security Requirements</li> <li>Understand Entity Relationship Requirements</li> </ul> <h3>17 - Applying  Quality Control to Data</h3> <ul> <li>Describe Characteristics, Rules, and Metrics of Data Quality</li> <li>Identify Reasons to Quality Check Data and Methods of Data Validation</li> </ul> <h3>18 - Explaining Master Data Management Concepts</h3> <ul> <li>Explain the Basics of Master Data Management</li> <li>Describe Master Data Management Processes</li> </ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans CompTIA Data Plus (DA0-001) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. </p><p></p> This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. <p></p>Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.  <p></p>While we feel this is the best course for the CompTIA Data Plus (DA0-001) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.  <p></p>Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.<p></p></div>

CompTIA Network+

IT Certifications

Data Skills

CompTIA A+

CompTIA Security+

CompTIA Data+

<div>
</div>
<section>
<div>
<h2>About this training course</h2>
<p><strong>Business Impact:</strong> The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets.</p>
<p>Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles.</p>
<p><strong>Unique Features:</strong></p>
<ul>
<li><strong><em>Eight business use cases</em></strong> covering their business impact, code walkthroughs for most all and solution approach.</li>
<li><strong><em>Industry data sets</em></strong> for participants to practice on and take home.</li>
<li>No software or complicated Python frameworks required.</li>
</ul>
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</section>
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<div id="accordion">
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Training Objectives 

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<p>After the completion of this training course, participants will be able to:</p>
<ul>
<li>Understand digital oil field transformation and its impact on business</li>
<li>Examine machine learning methods</li>
<li>Review workflows and code implementations</li>
<li>After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models</li>
</ul>
</div>
</div>
</div>
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Target Audience 

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<div id="collapseTwo">
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<p>This training course is suitable and will greatly benefit the following specific groups:</p>
<ul>
<li>Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets</li>
</ul>
</div>
</div>
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Course Level 

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<ul>
<li>Intermediate</li>
<li>Advanced</li>
</ul>
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Training Methods 

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<p><span>The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution.</span></p>
<p><em><span>Course Duration: 2 days in total (14 hours).</span></em></p>
<p><strong><span>Training Schedule</span></strong></p>
<p><span>0830 - Registration </span><span>0900 - Start of training </span><span>1030 - Morning Break </span><span>1045 - Training recommences </span><span>1230 - Lunch Break </span><span>1330 - Training recommences </span><span>1515 - Evening break </span><span>1530 - Training recommences </span><span>1700 - End of Training</span></p>
<p><span>The maximum number of participants allowed for this training course is 20.</span></p>
<p>This course is also available through our Virtual Instructor Led Training (VILT) format.</p>
<p><strong>Prerequisites:</strong></p>
<ul>
<li>Understanding of petroleum production concepts</li>
<li>Knowledge of Python is not a must but preferred to get the full benefit.</li>
<li>The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises</li>
<li>Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free)</li>
</ul>
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Trainer

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<p>Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA.</p>
<p><strong>Highlighted Work Experience: </strong></p>
<ul>
<li>At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe.</li>
<li>Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements.</li>
<li>Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics.</li>
<li>Developed a workshop on digital oilfield approaches for production engineers.</li>
</ul>
<p><strong>Patents:</strong></p>
<ul>
<li>Principal inventor: 'Smarter Slug Flow Conditioning and Control'</li>
<li>Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells'</li>
<li>Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution'</li>
</ul>
<p><strong>Worldwide Experience in Training / Seminar / Workshop Deliveries:</strong></p>
<ul>
<li>Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&amp;T, Louisiana State, U of Southern California, and U of Houston.</li>
<li>He has conducted seminars, bespoke trainings / workshops globally for practicing professionals:
<ul>
<li><u>Companies:</u> Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others.</li>
<li><u>Countries:</u> USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela.</li>
<li>Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic.</li>
</ul>
</li>
</ul>
</div>
</div>
</div>
<div>
<div>

POST TRAINING COACHING SUPPORT (OPTIONAL)

</div>
<div id="collapseCS">
<div>
<p>To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br />
Request for further information post training support and fees applicable</p>
</div>
</div>
</div>
<div>
<div>

Accreditions And Affliations

</div>
<div id="collapseSeven">
<div>
               </div>
</div>
</div>
</div>
</section>

EnergyEdge - Training for a Sustainable Energy Future

Renewable Energy

Oil & Gas

Data Analytics Workflows for Artificial Lift, Production and Facility Engineers

Team of 10, pp

Normal Fee, pp

<div>
</div>
<section>
<div>
<h2>About this training course</h2>
<p>Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion.</p>
<p>Understanding of these important production concepts is a must have to exploit the existing assets profitably.</p>
<p><strong>Unique Features:</strong></p>
<ul>
<li>Hands-on usage of <strong>SNAP Software</strong> to solve gas-lift exercises</li>
<li>Discussion on <strong>digital oil field</strong></li>
<li><strong>Machine learning</strong> <strong>applications</strong> in gas-lift optimization</li>
</ul>
</div>
</section>
<section>
<div id="accordion">
<div>
<div>

Training Objectives 

</div>
<div id="collapseOne">
<div>
<p>After the completion of this training course, participants will be able to:</p>
<ul>
<li>Understand the basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses</li>
<li>Easily recognize the different components from downhole to the surface and their basic structural and operational features</li>
<li>Design and analyze different components using appropriate software tools</li>
<li>Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation</li>
<li>Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization</li>
<li>Learn about use cases of Machine learning and artificial intelligence in the artificial lift</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Target Audience 

</div>
<div id="collapseTwo">
<div>
<p>This training course is suitable and will greatly benefit the following specific groups:</p>
<ul>
<li>Production, reservoir, completion, drilling and facilities engineers, analysts, and operators</li>
<li>Anyone interested in learning about selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course.</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Course Level 

</div>
<div id="collapsecl">
<div>
<ul>
<li>Intermediate</li>
<li>Advanced</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Training Methods 

</div>
<div id="collapseThree">
<div>
<p><span>The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization.</span></p>
<p><em><span>Course Duration: 5 days in total (35 hours).</span></em></p>
<p><strong><span>Training Schedule</span></strong></p>
<p><span>0830 - Registration </span><span>0900 - Start of training </span><span>1030 - Morning Break </span><span>1045 - Training recommences </span><span>1230 - Lunch Break </span><span>1330 - Training recommences </span><span>1515 - Evening break </span><span>1530 - Training recommences </span><span>1700 - End of Training</span></p>
<p><span>The maximum number of participants allowed for this training course is 20.</span></p>
<p>This course is also available through our Virtual Instructor Led Training (VILT) format.</p>
<p><strong>Prerequisites:</strong></p>
<ul>
<li>Understanding of petroleum production concepts.</li>
<li>Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software.</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Trainer

</div>
<div id="collapseFive">
<div>
<p>Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA.</p>
<p><strong>Highlighted Work Experience: </strong></p>
<ul>
<li>At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe.</li>
<li>Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements.</li>
<li>Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics.</li>
<li>Developed a workshop on digital oilfield approaches for production engineers.</li>
</ul>
<p><strong>Patents:</strong></p>
<ul>
<li>Principal inventor: 'Smarter Slug Flow Conditioning and Control'</li>
<li>Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells'</li>
<li>Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution'</li>
</ul>
<p><strong>Worldwide Experience in Training / Seminar / Workshop Deliveries:</strong></p>
<ul>
<li>Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&amp;T, Louisiana State, U of Southern California, and U of Houston.</li>
<li>He has conducted seminars, bespoke trainings / workshops globally for practicing professionals:
<ul>
<li><u>Companies:</u> Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others.</li>
<li><u>Countries:</u> USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela.</li>
<li>Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic.</li>
</ul>
</li>
</ul>
</div>
</div>
</div>
<div>
<div>

POST TRAINING COACHING SUPPORT (OPTIONAL)

</div>
<div id="collapseCS">
<div>
<p>To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br />
Request for further information post training support and fees applicable</p>
</div>
</div>
</div>
<div>
<div>

Accreditions And Affliations

</div>
<div id="collapseSeven">
<div>
               </div>
</div>
</div>
</div>
</section>

Artificial Lift and Real-Time Production Optimization in Digital Oilfield

<div>
</div>
<section>
<div>
<h2>About this training course</h2>
<p>Gas-lift is one of the predominant forms of artificial lift used for lifting liquids from conventional, unconventional, onshore and offshore assets. Gas-lift and its various forms (intermittent lift, gas-assisted plunger lift) allows life of well lift-possibilities when selected and applied properly. This 5-day training course is designed to give participants a thorough understanding of gas-lift technology and related application concepts.</p>
<p>This training course covers main components such as application envelope, relative strengths and weaknesses of gas-lift and its different forms like intermittent lift, gas-assisted plunger lift. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion.</p>
<p><strong>Unique Features:</strong></p>
<ul>
<li>Hands-on usage of <strong>SNAP Software</strong> to solve gas-lift exercises</li>
<li>Discussion on <strong>digital oil field</strong></li>
<li><strong>Machine learning</strong> <strong>applications</strong> in gas-lift optimization</li>
</ul>
</div>
</section>
<section>
<div id="accordion">
<div>
<div>

Training Objectives 

</div>
<div id="collapseOne">
<div>
<p>After the completion of this training course, participants will be able to:</p>
<ul>
<li>Understand the fundamental theories and procedures related to Gas-Lift operations</li>
<li>Easily recognize the different components of the gas-lift system and their basic structural and operational features</li>
<li>Be able to design a gas-lift installation</li>
<li>Comprehend how digital oilfield tools help address ESP challenges</li>
<li>Examine recent advances in real-time approaches to the production monitoring and lift management</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Target Audience 

</div>
<div id="collapseTwo">
<div>
<p>This training course is suitable and will greatly benefit the following specific groups:</p>
<ul>
<li>Production, reservoir, completion, drilling and facilities engineers, analysts, and operators</li>
<li>Anyone interested in learning about implications of gas-lift systems for their fields and reservoirs</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Course Level 

</div>
<div id="collapsecl">
<div>
<ul>
<li>Intermediate</li>
<li>Advanced</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Training Methods 

</div>
<div id="collapseThree">
<div>
<p><span>The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization.</span></p>
<p><em><span>Course Duration: 5 days in total (35 hours).</span></em></p>
<p><strong><span>Training Schedule</span></strong></p>
<p><span>0830 - Registration </span><span>0900 - Start of training </span><span>1030 - Morning Break </span><span>1045 - Training recommences </span><span>1230 - Lunch Break </span><span>1330 - Training recommences </span><span>1515 - Evening break </span><span>1530 - Training recommences </span><span>1700 - End of Training</span></p>
<p><span>The maximum number of participants allowed for this training course is 20.</span></p>
<p>This course is also available through our Virtual Instructor Led Training (VILT) format.</p>
<p><strong>Prerequisites:</strong></p>
<ul>
<li>Understanding of petroleum production concepts.</li>
<li>Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software.</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Trainer

</div>
<div id="collapseFive">
<div>
<p>Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA.</p>
<p><strong>Highlighted Work Experience: </strong></p>
<ul>
<li>At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe.</li>
<li>Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements.</li>
<li>Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics.</li>
<li>Developed a workshop on digital oilfield approaches for production engineers.</li>
</ul>
<p><strong>Patents:</strong></p>
<ul>
<li>Principal inventor: 'Smarter Slug Flow Conditioning and Control'</li>
<li>Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells'</li>
<li>Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution'</li>
</ul>
<p><strong>Worldwide Experience in Training / Seminar / Workshop Deliveries:</strong></p>
<ul>
<li>Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&amp;T, Louisiana State, U of Southern California, and U of Houston.</li>
<li>He has conducted seminars, bespoke trainings / workshops globally for practicing professionals:
<ul>
<li><u>Companies:</u> Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others.</li>
<li><u>Countries:</u> USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela.</li>
<li>Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic.</li>
</ul>
</li>
</ul>
</div>
</div>
</div>
<div>
<div>

POST TRAINING COACHING SUPPORT (OPTIONAL)

</div>
<div id="collapseCS">
<div>
<p>To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br />
Request for further information post training support and fees applicable</p>
</div>
</div>
</div>
<div>
<div>

Accreditions And Affliations

</div>
<div id="collapseSeven">
<div>
               </div>
</div>
</div>
</div>
</section>

Gas Lift Design & Optimization using NODAL Analysis

<div>
</div>
<section>
<div>
<h2>About this training</h2>
<p>The Seismic Uncertainty Evaluation (SUE) course has evolved after a number of years of work experience in the sub-surface domain. A common question closely related to well planning is the quantification and qualification of depth uncertainty and robust estimation of the volumetric ranges, and this course addresses these topics.</p>
</div>
</section>
<section>
<div id="accordion">
<div>
<div>

Training Objectives 

</div>
<div id="collapseOne">
<div>
<p>Upon completion of this course, participants will be able to:</p>
<ul>
<li>Define a structured approach toward seismic depth uncertainty analysis</li>
<li>Construct data analytics on seismic products (well logs, velocities, and seismic)</li>
<li>Classify advance vertical ray tomography on FWI models to assure a drill ready depth seismic, faults, surfaces, and logs</li>
<li>Interpret probabilistic volumetric and automatic spill point control, amplitude conformance closures</li>
<li>De-risk the depth uncertainty by providing drilling and completion with a risking score card</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Target Audience 

</div>
<div id="collapseTwo">
<div>
<p>This course is intended for individuals who needs to understand the basic theory and procedures for assessment/ quantification/qualification of all drill-ready products (seismic, faults, horizons, etc.)</p>
<ul>
<li>Geologist</li>
<li>Geophysicist</li>
<li>Reservoir engineer</li>
<li>Drilling engineer</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Course Level 

</div>
<div id="collapsecl">
<div>
<ul>
<li>Intermediate</li>
</ul>
</div>
</div>
</div>
<div>
<div>

Trainer

</div>
<div id="collapseFive">
<div>
<p>Your expert course leader is a cross-functional Geoscientist and Published Author with 27 years of international experience working in Upstream Petroleum Exploration and Production for Oil and Gas Companies in Australia, India, Singapore, Saudi Arabia, and Oman. During his career he actively supported field development, static &amp; dynamic reservoir modelling &amp; well planning, 3D Seismic data acquisition with Schlumberger &amp; SVUL, 3D seismic data processing with CGG &amp; interpretation, Q.I. and field development with Woodside, Applied Geoscience, and Reliance. </p>
</div>
</div>
</div>
<div>
<div>

POST TRAINING COACHING SUPPORT (OPTIONAL)

</div>
<div id="collapseCS">
<div>
<p>To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.<br />
Request for further information post training support and fees applicable</p>
</div>
</div>
</div>
<div>
<div>

Accreditions And Affliations

</div>
<div id="collapseSeven">
<div>
               </div>
</div>
</div>
</div>
</section>

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