Name: Financial Modelling & Valuation Analyst (FMVA) Essentials - CPD Certified
Price: 399 GBP
Availability: InStock

<p>Are you ready to dive deep into the world of data analytics? Look no further than our Data Analytics with Tableau bundle, featuring 11 comprehensive courses that will give you the skills and knowledge needed to succeed in the world of data analysis.</p><p>Begin with the QLS-endorsed Advanced Diploma in Data Analytics with Tableau at QLS Level 6, and receive a free hardcopy certificate upon completion. This prestigious certification will set you apart from your peers.</p><p>Continue your learning journey with ten additional courses, all CPD-QS accredited, covering everything from SQL Masterclass to GDPR compliance. Our courses are designed to provide a theoretical understanding of data analytics that will serve as a strong foundation for your future career in the field.</p><p>Whether you're just starting out in data analytics or are a seasoned professional looking to expand your knowledge, our Data Analytics with Tableau bundle is the perfect choice for you. Enrol now and take the first step towards a brighter future in the exciting world of data analytics.</p><p><strong>This Data Analytics with Tableau Bundle Package includes:</strong></p><ul><li><strong>Course 01:</strong> Advanced Diploma in Data Analytics with Tableau at QLS Level 6</li></ul><p><strong>10 Premium Additional CPD QS Accredited Courses -</strong></p><ul><li><strong>Course 01:</strong> Data Analysis</li><li><strong>Course 02:</strong> SQL Masterclass: SQL For Data Analytics</li><li><strong>Course 03:</strong> Data Science &amp; Machine Learning with R Training</li><li><strong>Course 04:</strong> Google Data Studio</li><li><strong>Course 05:</strong> Excel Data Analysis</li><li><strong>Course 06:</strong> Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong>Course 07:</strong> Business Intelligence and Data Mining Diploma</li><li><strong>Course 08:</strong> Business Data Analysis</li><li><strong>Course 09:</strong> Statistical Analysis</li><li><strong>Course 10:</strong> GDPR</li></ul><p><strong>Why Prefer This Data Analytics with Tableau Bundle?</strong></p><ul><li>You will receive a completely free certificate from the Quality Licence Scheme</li><li>Option to purchase 10 additional certificates accredited by CPD</li><li>Get a free Student ID Card - (£10 postal charges will be applicable for international delivery)</li><li>Free assessments and immediate success results</li><li>24/7 Tutor Support</li></ul> <p><strong>After taking this Data Analytics with Tableau</strong><strong> bundle courses, you will be able to learn:</strong></p><ul><li>Gain a thorough understanding of data analytics concepts and tools.</li><li>Master Tableau and Excel for data analysis and visualisation.</li><li>Learn how to work with SQL and relational databases for data management.</li><li>Develop skills in data science and machine learning using R.</li><li>Understand the principles of business intelligence and data mining.</li><li>Gain knowledge of statistical analysis and interpretation of results.</li><li>Acquire a comprehensive understanding of GDPR compliance and regulations.</li></ul><p><strong>***Curriculum breakdown of Data Analytics with Tableau</strong><strong>***</strong></p><ul><li><strong>Module 01:</strong> Introduction to the Course</li><li><strong>Module 02:</strong> Project 1: Discount Mart (Sales and Profit Analytics)</li><li><strong>Module 03: </strong>Project 2: Green Destinations (HR Analytics)</li><li><strong>Module 04:</strong> Project 3: Superstore (Sales Agent Tracker)</li><li><strong>Module 05: </strong>Northwind Trade (Shipping Analytics)</li><li><strong>Module 06: </strong>Project 5: Tesla (Stock Price Analytics)</li><li><strong>Module 07:</strong> Bonus: Introduction to Database Concepts</li><li><strong>Module 08: </strong>Tableau Stories</li></ul><p><strong>How is the Data Analytics with Tableau</strong><strong>Bundle Assessment Process?</strong></p><p>You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment.</p><p>You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams.</p> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>Individuals interested in pursuing a career in data analytics.</li><li>Professionals seeking to enhance their data analysis skills.</li><li>Business analysts, data scientists, and statisticians.</li><li>Anyone looking to gain a theoretical foundation in data analytics.</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: £20k-£48k per year</li><li>Business Intelligence Analyst: £24k-£60k per year</li><li>Data Scientist: £33k-£75k per year</li><li>Business Analyst: £24k-£50k per year</li><li>Data Engineer: £28k-£80k per year</li><li>Statistician: £25k-£45k per year</li></ul><p>Note: Salary ranges are subject to change depending on location, experience, and industry.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Academy for Health and Fitness

Data Analytics with Tableau Diploma

General Admission

School of Business and Technology London

QUALIFI Level 3 Diploma in Data Science

<h2 style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Overview</h2><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">✿ 22-in-1 "Data Science Engineering: Data Analytics &amp; Database Management with MySQL" QLS Endorsed Diploma ✿</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In the&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">UK</strong>,&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>&nbsp;jobs are in high demand across sectors like finance, healthcare, and technology. Entry-level data scientists typically earn&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;25,000 to &pound;35,000</strong>&nbsp;annually, while experienced professionals can earn&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;60,000 to &pound;100,000</strong>&nbsp;or more. Roles often require skills in programming (Python, R), machine learning, and data visualization.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Step into the transformative world of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>, where innovation meets data. This exclusive bundle, "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>," is specially designed for learners keen on mastering the art of data analysis and database management. By immersing yourself in the complexities of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>, you will gain the ability to handle vast datasets, extract meaningful insights, and effectively manage databases using MySQL.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>&nbsp;is the backbone of modern decision-making processes, driving business strategies and technological advancements. Through this bundle, "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL"</strong>, you will explore key concepts and methodologies that form the foundation of Data Science. From understanding data structures to performing complex data analyses and managing databases, every module is crafted to provide a thorough understanding and knowledge of Data Science principles.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This bundle focuses on&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science</strong>, ensuring you are prepared to meet the growing demand for data-savvy professionals. Whether you&#39;re aiming to advance your career or pivot to a new field, this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL&nbsp;</strong>bundle offers a pathway to success in the dynamic world of Data Science.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Data Science Engineering: Data Analytics &amp; Database Management with MySQL Bundle Consists the Following Courses:</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><a href="https://www.skill-up.org/course/data-engineering-google-bigquery-google-cloud/" target="_blank" rel="noopener noreferrer" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Data Engineering : Google Big Query &amp; Google Cloud</a></li><li fr-original-style="" style="box-sizing: border-box;">Data Science &amp; Machine Learning with Python<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;[at QLS Level 7]</strong></li><li fr-original-style="" style="box-sizing: border-box;">Data Science &amp; Machine Learning with R Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning in Flutter: Complete Guide</li><li fr-original-style="" style="box-sizing: border-box;">Python Data Science - For Beginners</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning Basics<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;[at QLS Level 7]</strong></li><li fr-original-style="" style="box-sizing: border-box;">Python: Higher Order Functions</li><li fr-original-style="" style="box-sizing: border-box;">Basic Data Analysis Training</li><li fr-original-style="" style="box-sizing: border-box;">PowerBI Formulas</li><li fr-original-style="" style="box-sizing: border-box;">Getting Results with Power BI</li><li fr-original-style="" style="box-sizing: border-box;">Mastering MySQL Database Development</li><li fr-original-style="" style="box-sizing: border-box;">SQL Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Microsoft SQL Queries</li><li fr-original-style="" style="box-sizing: border-box;">Data Analytics with Tableau</li><li fr-original-style="" style="box-sizing: border-box;">Data Structures : Easy to Advanced</li><li fr-original-style="" style="box-sizing: border-box;">Java script for Data Structures</li><li fr-original-style="" style="box-sizing: border-box;">Python Programming Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">The Complete Python Course: Beginner to Advanced!</li><li fr-original-style="" style="box-sizing: border-box;">Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!</li><li fr-original-style="" style="box-sizing: border-box;">Linux File System</li><li fr-original-style="" style="box-sizing: border-box;">LabVIEW - Step By Step Beginners Guide</li><li fr-original-style="" style="box-sizing: border-box;">SQL NoSQL Big Data and Hadoop All in One Course</li></ol><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes of Data Science Engineering: Data Analytics &amp; Database Management Bundle</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Develop a deep understanding of fundamental Data Science &amp; Big Query concepts.</li><li fr-original-style="" style="box-sizing: border-box;">Gain proficiency in data analysis techniques using MySQL Database.</li><li fr-original-style="" style="box-sizing: border-box;">Learn to design and manage efficient databases.</li><li fr-original-style="" style="box-sizing: border-box;">Apply statistical methods to interpret complex datasets.</li><li fr-original-style="" style="box-sizing: border-box;">Master data visualisation tools to present insights effectively.</li><li fr-original-style="" style="box-sizing: border-box;">Understand the role of Data Science in business and technology sectors.</li><li fr-original-style="" style="box-sizing: border-box;">Build a solid foundation for advanced Data Science studies.</li></ul><h2 fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted">Certificates</h2><div fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;"><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Digital Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This bundle comes with a free&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited PDF Copy certificate+ Transcript&nbsp;</strong>(according to the Learner&#39;s Choice). For additional courses, it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;14.99</strong>&nbsp;per copy.</p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Hard Copy Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Get&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited Hard Copy certificate</strong>&nbsp;for&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;19.99</strong>&nbsp;per copy. The delivery fee for the Hard Copy certificate, however, is free for UK residents, whereas it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;10</strong>&nbsp;for international students as delivery charge.</p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;" id="isPasted"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Endorsed Hardcopy Certificate</strong></p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Hard copy certificate - &pound;129</p><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For any&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">QLS Endorsed</strong>&nbsp;courses included in the bundle, the Level wise Certificate prices are - (Should be Purchased Separately)</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Level 1 - &pound;39</li><li fr-original-style="" style="box-sizing: border-box;">Level 2 - &pound;69</li><li fr-original-style="" style="box-sizing: border-box;">Level 3 - &pound;79</li><li fr-original-style="" style="box-sizing: border-box;">Level 4 - &pound;89</li><li fr-original-style="" style="box-sizing: border-box;">Level 5 - &pound;109</li><li fr-original-style="" style="box-sizing: border-box;">Level 6 - &pound;119</li><li fr-original-style="" style="box-sizing: border-box;">Level 7 - &pound;129</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">However, Certificate delivery is&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Free&nbsp;</strong>for&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">UK&nbsp;</strong>residents, whereas it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;10</strong>&nbsp;for international students as a delivery charge.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Note: Skill-up is a Janets-approved resale partner for Quality Licence Scheme Endorsed courses.</strong></p><h2 style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Description</h2><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>" bundle is designed to provide a comprehensive introduction to Data Science. Focusing on data analysis and database management, this bundle covers key concepts, tools, and techniques essential for managing and analysing data. Learners will develop a strong foundation in Data Science, gaining skills that are in high demand across various industries. Additionally, students will learn to use MySQL to handle databases effectively, ensuring they can store, retrieve, and manipulate data efficiently. By the end of the bundle, participants will be well-equipped to tackle data-driven challenges and contribute significantly to their organisations.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Here is the course curriculum for the primary Title Course in this bundle:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering : Google Big Query &amp; Google Cloud</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Introduction</li><li fr-original-style="" style="box-sizing: border-box;">Introducing Data Warehouse &amp; Big Query</li><li fr-original-style="" style="box-sizing: border-box;">First Exploration</li><li fr-original-style="" style="box-sizing: border-box;">Data Flow Basic</li><li fr-original-style="" style="box-sizing: border-box;">Diving into Big Query</li><li fr-original-style="" style="box-sizing: border-box;">Virtual Data using View</li><li fr-original-style="" style="box-sizing: border-box;">Data Visualization</li><li fr-original-style="" style="box-sizing: border-box;">Intermediate Query<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">----------and 21 more Courses----------</strong></p><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>&nbsp;bundle is open to everyone. Specially for-</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Aspiring Data Science Engineer, Scientists</li><li fr-original-style="" style="box-sizing: border-box;">Professionals transitioning to Data Science roles</li><li fr-original-style="" style="box-sizing: border-box;">Business analysts looking to enhance data analysis skills</li><li fr-original-style="" style="box-sizing: border-box;">IT professionals seeking to expand their expertise</li><li fr-original-style="" style="box-sizing: border-box;">Students pursuing a career in Data Science</li></ul></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management with MySQL</strong>&nbsp;bundle, you don&#39;t need any formal qualifications.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Unlock diverse career opportunities with our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Engineering: Data Analytics &amp; Database Management (MySQL)</strong>&nbsp;bundle. Explore these lucrative paths:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Data Scientist: &pound;45,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Database Administrator: &pound;37,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Data Analyst: &pound;30,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Business Intelligence Analyst: &pound;35,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Marketing Analyst: &pound;28,000 per year</li><li fr-original-style="" style="box-sizing: border-box;">Research Analyst: &pound;27,000 per year</li></ul></section></div></div></div></div>

Skill Up

Data Engineering

Data Science

Google Cloud

Data Analysis

Database Management

Level-7 QLS Endorsed | 22-in-1 Diploma Bundle| Free CPD PDF+ Transcript Certificate| Lifetime Access| Learner Support


Data Science Engineering: Data Analytics & Database Management with MySQL - QLS Endorsed

Imperial Academy

Microsoft Excel

Tableau

Python

Data Science: Basics, Data Mining, Excel, Python, SQL, Machine Learning & Tableau

Duco Digital Training

Business Analyst

Business Analysis

Business Analytics & Intelligence

Duco Digital Training's BCS Foundation Certificate in Business Analysis has been designed to provide learners with knowledge and understanding of business analysis concepts, principles and techniques for roles such as business a analyst.

Business Analysis Course - BCS Foundation

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

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

			</div>
		                        </div>

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

Data Analytics with Tableau

<p><strong>24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now!<br />This </strong><strong>Advanced Diploma in Data Analytics with Tableau at QLS Level 6 </strong><strong> course is endorsed by The Quality Licence Scheme and accredited by CPDQS</strong><strong> (with 150 CPD points</strong><strong>) </strong><strong>to make your skill development &amp; career progression more accessible than ever!</strong></p><p>Are you looking to improve your current abilities or make a career move? If yes, our unique Data Analytics with Tableau at QLS Level 6 course might help you get there! It is an expertly designed course which ensures you learn everything about the topic thoroughly. Expand your expertise with high-quality training from the Data Analytics with Tableau at QLS Level 6 course.</p><p>Due to Data Analytics with Tableau at QLS Level 6's massive demand in the competitive market, you can use our comprehensive course as a weapon to strengthen your knowledge and boost your career development. Learn Data Analytics with Tableau at QLS Level 6 from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career.</p><p>The Data Analytics with Tableau at QLS Level 6 course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Data Analytics with Tableau at QLS Level 6 course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this Data Analytics with Tableau at QLS Level 6 course.</p><p>This Data Analytics with Tableau at QLS Level 6 training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence!</p><p><strong>Why Prefer This Data Analytics with Tableau at QLS Level 6 Course?</strong></p><ul><li>Opportunity to earn a certificate endorsed by <strong>the Quality Licence Scheme</strong> &amp; another accredited by <strong>CPDQS </strong>which is completely free.</li><li>Get a <strong>free student ID card!</strong> (£10 postal charge will be applicable for international delivery)</li><li>Innovative and engaging content.</li><li>Free assessments</li><li>24/7 tutor support.</li></ul> <p>Take a step toward a brighter future!</p><p><strong>*** Course Curriculum ***</strong></p><p>Here is the curriculum breakdown of the Data Analytics with Tableau at QLS Level 6 course:</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>Assessment Process</strong></p><p>You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment.</p><p>You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the <strong>Advanced Diploma in Data Analytics with Tableau at QLS Level 6 </strong> exams.</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>This Data Analytics with Tableau at QLS Level 6 course is perfect for highly motivated people who want to improve their technical skills and prepare for the career they want!</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No prior background or expertise is required.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>The Data Analytics with Tableau at QLS Level 6 course will boost your CV and aims to help you get the job or even the long-awaited promotion of your dreams.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Advanced Diploma in Data Analytics with Tableau at QLS Level 6 </h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p><strong>Show off Your New Skills with a Certificate of Completion</strong></p><p>After successfully completing the <strong>Advanced Diploma in Data Analytics with Tableau at QLS Level 6 </strong>, you can order an original hardcopy certificate of achievement endorsed by <strong>the Quality Licence Scheme</strong> andalso you can order <strong>CPDQS</strong><strong>Accredited Certificate </strong>that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.</p> </div>
        <h4>CPDQS Accredited Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Data Analytics with Tableau at QLS Level 6

<p>As the retail industry continues to evolve, the demand for skilled data analysts is on the rise. According to recent statistics, the global retail analytics market is expected to reach $10.4 billion by 2025, with a compound annual growth rate of 19.6%. This indicates a significant opportunity for professionals in this field. Our Data Analyst: Retail Data Analytics course offers comprehensive training in the latest techniques and tools used in the retail industry, equipping learners with the skills they need to succeed in this exciting and growing field.</p><p><strong>This </strong><strong>Diploma in Retail And Data Analytics at QLS Level 5</strong><strong> course is endorsed by The Quality Licence Scheme and accredited by CPDQS</strong><strong> (with 150 CPD points</strong><strong>)</strong><strong>to make your skill development &amp; career progression more accessible than ever!</strong></p><p><strong>At the end of this Data Analyst : Retail Data Analytics course, you will:</strong></p><ul><li>Understand the basics of retail analytics and how it impacts the industry</li><li>Analyse retail psychology and apply it in different scenarios</li><li>Develop a retail strategy that aligns with business goals</li><li>Create effective forecasts to plan and manage inventory</li><li>Set appropriate pricing strategies that balance profit and customer satisfaction</li><li>Apply analytics software to derive insights from data and inform decision-making</li><li>Streamline supply chain management to improve efficiency and reduce costs</li><li>Understand the sales process and how to engage with customers at the checkout</li><li>Develop strategies for selling in multiple channels, including e-commerce</li><li>Use trends and customer data to target effectively and increase sales</li></ul><p>This Retail Data Analytics at QLS Level 5 training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence!</p><p><strong>Why Prefer This Data Analyst : Retail Data Analytics at QLS Level 5 Course?</strong></p><ul><li>Opportunity to earn a certificate endorsed by <strong>the Quality Licence Scheme</strong> &amp; another accredited by <strong>CPDQS </strong>which is completely free.</li><li>Get a <strong>free student ID card!</strong> (£10 postal charge will be applicable for international delivery)</li><li>Innovative and engaging content.</li><li>Free assessments</li><li>24/7 tutor support.</li></ul> <p>Take a step toward a brighter future!</p><p><strong>*** Course Curriculum ***</strong></p><p>Here is the curriculum breakdown of the Retail Data Analytics at QLS Level 5 course:</p><ul><li>Module 1: Introduction To Retail Analytics</li><li>Module 2: Retail Psychology</li><li>Module 3: Retail And Data Analytics</li><li>Module 4: Benefits Of Retail Analytics</li><li>Module 5: Retail Strategy</li><li>Module 6: Retail Buying And Merchandising</li><li>Module 7: Forecasting</li><li>Module 8: Retail Pricing</li><li>Module 9: Analytics Software</li><li>Module 10: Supply Chain Management In Retailing</li><li>Module 11: The Sales Process And Dealing With Customers At The Checkout</li><li>Module 12: Selling In Multiple Channels</li><li>Module 13: Taking Trends And Targeting Customers Effectively</li></ul><p><strong>Assessment Process</strong></p><p>You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment.</p><p>You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the <strong>Diploma in Retail And Data Analytics at QLS Level 5</strong> exams.</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">
                            <ul><li>Aspiring data analysts seeking to specialise in the retail industry</li><li>Retail professionals who wish to develop their analytical skills and knowledge</li><li>Business owners and entrepreneurs looking to improve their retail operations</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No prior background or expertise is required.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: Average salary of £32,000 per annum</li><li>Pricing Analyst: Average salary of £30,000 per annum</li><li>Supply Chain Analyst: Average salary of £29,000 per annum</li><li>Forecasting Analyst: Average salary of £31,000 per annum</li><li>E-commerce Analyst: Average salary of £32,000 per annum</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPDQS Accredited Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Diploma in Retail And Data Analytics at QLS Level 5</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p><strong>Show off Your New Skills with a Certificate of Completion</strong></p><p>After successfully completing the <strong>Diploma in Retail And Data Analytics at QLS Level 5</strong>, you can order an original hardcopy certificate of achievement endorsed by <strong>the Quality Licence Scheme</strong> andalso you can order <strong>CPDQS</strong><strong>Accredited Certificate </strong>that is recognised all over the UK and also internationally. The certificates will be home-delivered, completely free of cost.</p> </div>

                        </div>

Data Analyst : Retail Data Analytics at QLS Level 5

<p><em><strong>48-Hour Knowledge Knockdown! Prices Reduced Like Never Before!</strong></em></p><p>Unlock the power of Data Analyst (Data Analytics) with our cutting-edge Data Analyst (Data Analytics) course and transform raw information into strategic insights of Data Analyst (Data Analytics) that drive success.</p><p>Get <strong>Free</strong> 1 QLS Endorsed Course <strong>with Certificate</strong> &amp; 10 Additional CPD Accredited Courses In A Single Payment.</p><p><strong>This Data Analyst (Data Analytics) Bundle Package includes:</strong></p><ul><li><strong>Course 01:</strong> Diploma in Data Analysis <strong>at QLS Level 5</strong></li></ul><p><strong>10 Additional CPD Accredited Premium Courses related to Data Analyst (Data Analytics) -</strong></p><ul><li><strong>Course 01:</strong> Data Analytics with Tableau</li><li><strong>Course 02:</strong> Data Science &amp; Machine Learning with R</li><li><strong>Course 03:</strong> Excel Pivot table for Data analytics</li><li><strong>Course 04</strong>: JavaScript Functions for Data Analyst</li><li><strong>Course 05:</strong> Data analytics with Excel</li><li><strong>Course 06:</strong> Mastering SQL Programming for Data Analyst</li><li><strong>Course 07:</strong> Google Data Studio</li><li><strong>Course 08:</strong> Business Intelligence and Data Mining for Data Analyst</li><li><strong>Course 09:</strong> GDPR Training</li><li><strong>Course 10:</strong> Learn Programming with Python</li></ul><p><strong>Learning outcome of this Data Analyst (Data Analytics) Bundle:</strong></p><ul><li>Apply data analyst techniques to modify worksheets effectively.</li><li>Utilise data analyst strategies for working with lists.</li><li>Demonstrate proficiency in analyzing data as a data analyst.</li><li>Visualize data using charts as a data analyst.</li><li>Employ PivotTables and Pivot Charts for complex Data Analyst</li><li>Manage multiple worksheets and workbooks efficiently as a data analyst.</li><li>Use lookup functions and formula auditing for accurate Data Analyst</li></ul> <p><strong>Why Prefer This Data Analyst (Data Analytics) Bundle?</strong></p><ul><li>FREE certificate on Data Analyst (Data Analytics)accredited by <strong>CPDQS</strong></li><li>Get instant access to this Data Analyst (Data Analytics) course.</li><li>Learn Data Analyst (Data Analytics) from anywhere in the world</li><li>Data Analyst (Data Analytics) is affordable and simple to understand</li><li>Data Analyst (Data Analytics) is an entirely online, interactive lesson with voiceover audio</li><li>Lifetime access to the Data Analyst (Data Analytics) bundle materials</li><li>Data Analyst (Data Analytics) comes with 24/7 tutor support</li><li>Free assessments available with Data Analyst (Data Analytics)</li><li>Get a <strong>free student ID card!</strong> with Data Analyst (Data Analytics)</li></ul><p><strong>Assessment Process of Data Analyst (Data Analytics) Course:</strong></p><p>You have to complete the assignment questions given at the end of the Data Analyst (Data Analytics) course and score a minimum of 60% to pass each exam, after that you can claim your certificate</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>This course is for whoever wishes to gain a better understanding of Data Analyst (Data Analytics)</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You will not need any prior background or expertise to take this Data Analyst (Data Analytics)</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst</li><li>Retail Data Analyst</li><li>Statistical Data Analyst</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited e-Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Diploma in Data Analysis at QLS Level 5</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

Data Analyst (Data Analytics) Endorsed Diploma

<p><strong>24 Hour Flash Deal **40-in-1 Financial Modelling &amp; Valuation Analyst (FMVA) Essentials Mega Bundle**<br /><br /> Financial Modelling &amp; Valuation Analyst (FMVA) Essentials Enrolment Gifts  **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter **</strong><br /><br />Take the initial steps towards a successful long-term career by studying the <strong>Financial Modelling &amp; Valuation Analyst (FMVA) Essentials</strong> package online with Studyhub through our online learning platform. The Financial Modelling &amp; Valuation Analyst (FMVA) Essentials bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass.<br /><br />This <strong>Financial Modelling &amp; Valuation Analyst (FMVA) Essentials</strong> course provides complete 360-degree training on Financial Modelling &amp; Valuation Analyst (FMVA) Essentials. You'll get not one, not two, not three, but forty Financial Modelling &amp; Valuation Analyst (FMVA) Essentials courses included in this course. Plus Studyhub's signature Forever Access is given as always, meaning these Financial Modelling &amp; Valuation Analyst (FMVA) Essentials courses are yours for as long as you want them once you enrol in this course.<br /><br /><strong>This Financial Modelling &amp; Valuation Analyst (FMVA) Essentials Bundle consists the following career oriented courses:</strong></p><ul><li>Course 01: Financial Modelling</li><li>Course 02: Financial Modelling Course for a Non-Finance Background</li><li>Course 03: Make Business Plans: Forecasting and Budgeting</li><li>Course 04: Managing Budget: Financial Statements and Money Management</li><li>Course 05: Capital Budgeting &amp; Investment Decision Rules</li><li>Course 06: Raise Money and Valuation for Business</li><li>Course 07: Microsoft Excel Complete Course 2019</li><li>Course 08: VLOOKUP: Master Excel Formula VLOOKUP in 60 minutes!</li><li>Course 09: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!</li><li>Course 10: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 11: Microsoft PowerPoint for Beginners</li><li>Course 12: Accounting Fundamentals Diploma</li><li>Course 13: Understanding Financial Statements and Analysis</li><li>Course 14: Fundamentals of Corporate Finance</li><li>Course 15: Investment Banking Operations Professional</li><li>Course 16: Fundamentals of Business Analysis</li><li>Course 17: Finance: Financial Risk Management</li><li>Course 18: Credit Control and Compliance Training</li><li>Course 19: AutoCAD VBA Programming - Beginner course</li><li>Course 20: Python Basic Programming for Absolute Beginners</li><li>Course 21: Financial Planning</li><li>Course 22: Cost Control Process and Management</li><li>Course 23: Economics Level 2 Diploma</li><li>Course 24: Actuary Certification: Navigating the Complex World of Risk and Finance</li><li>Course 25: Finance Law Fundamentals: Legal Aspects of Financial Transactions</li><li>Course 26: Accounts Receivable Management: Optimising Financial Processes</li><li>Course 27: Efficient Accounts Payable Processing: Streamlining Financial Transactions</li><li>Course 28: Demystifying Depreciation Accounting: Financial Insights</li><li>Course 29: Mastering Partnership Accounting: Financial Strategies and Reporting</li><li>Course 30: Finance for Non-finance Managers Certification</li><li>Course 31: Corporate Finance: Profitability in a Financial Downturn</li><li>Course 32: Business Strategy Planning</li><li>Course 33: Debt Management, Assessment, Financing &amp; Counselling</li><li>Course 34: Machine Learning Basics</li><li>Course 35: CompTIA CySA+ Cybersecurity Analyst Course</li><li>Course 36: Business Finance</li><li>Course 37: Financial Investigator</li><li>Course 38: Financial Analysis Methods</li><li>Course 39: Personal Financial Management &amp; Wellness</li><li>Course 40: Tax Strategy and Financial Planning for Beginners</li></ul><p><strong>In this exclusive Financial Modelling &amp; Valuation Analyst (FMVA) Essentials bundle, you really hit the jackpot. Here's what you get:</strong></p><ul><li>Step by step Financial Modelling &amp; Valuation Analyst (FMVA) Essentials lessons</li><li>One to one assistance from Financial Modelling &amp; Valuation Analyst (FMVA) Essentials professionals if you need it</li><li>Innovative exams to test your knowledge after the Financial Modelling &amp; Valuation Analyst (FMVA) Essentials course</li><li>24/7 customer support should you encounter any hiccups</li><li>Top-class learning portal</li><li>Unlimited lifetime access to all forty Financial Modelling &amp; Valuation Analyst (FMVA) Essentials courses</li><li>Digital Certificate, Transcript and student ID are all included in the price</li><li>PDF certificate immediately after passing</li><li>Original copies of your Financial Modelling &amp; Valuation Analyst (FMVA) Essentials certificate and transcript on the next working day</li><li>Easily learn the Financial Modelling &amp; Valuation Analyst (FMVA) Essentials skills and knowledge you want from the comfort of your home</li></ul> <p>The <strong>Financial Modelling &amp; Valuation Analyst (FMVA) Essentials</strong> course has been prepared by focusing largely on Financial Modelling &amp; Valuation Analyst (FMVA) Essentials career readiness. It has been designed by our Financial Modelling &amp; Valuation Analyst (FMVA) Essentials specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners.<br /><br />The <strong>Financial Modelling &amp; Valuation Analyst (FMVA) Essentials</strong> Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Financial Modelling &amp; Valuation Analyst (FMVA) Essentials bundle course has been created with forty premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field.<br /><br />This <strong>Financial Modelling &amp; Valuation Analyst (FMVA) Essentials</strong> Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Financial Modelling &amp; Valuation Analyst (FMVA) Essentials Elementary modules, allowing our students to grasp each lesson quickly.</p><p>The Financial Modelling &amp; Valuation Analyst (FMVA) Essentials course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc.</p> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>This <strong>Financial Modelling &amp; Valuation Analyst (FMVA) Essentials </strong>training is suitable for -</p><ul><li>Students</li><li>Recent graduates</li><li>Job Seekers</li><li>Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Financial Modelling &amp; Valuation Analyst (FMVA) Essentials.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>To participate in this <strong>Financial Modelling &amp; Valuation Analyst (FMVA) Essentials </strong>course, all you need is -</p><ul><li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in Financial Modelling &amp; Valuation Analyst (FMVA) Essentials.</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>You will be able to kickstart your <strong>Financial Modelling &amp; Valuation Analyst (FMVA) Essentials </strong>career because this course includes various courses as a bonus. This bundle is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Financial Modelling &amp; Valuation Analyst (FMVA) Essentials career opportunities.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><ul><li>CPD Accredited e-Certificate - Free</li><li>CPD Accredited Hardcopy Certificate - Free</li><li>Enrolment Letter - Free</li><li>Student ID Card - Free</li></ul></div>
        <h4>Quality Licence Scheme Endorsed Certificate of Achievement</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>Upon successful completion of the course, you will be eligible to order QLS Endorsed Hardcopy Certificate titled 'Financial Modelling at QLS Level 3'</p><p><br />Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.</p></div>

                        </div>

Studyhub UK

Financial Modelling & Analysis

Finance Cert & Exam Prep

Financial Modelling

Corporate Finance Level 1

Financial Engineering

Finance For Non Finance Managers

Financial Modelling & Valuation Analyst (FMVA) Essentials - CPD Certified

<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>

One Education

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>

Training Express

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>
</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 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>
<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>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>
</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 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>
</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>

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>

442 Courses

Data Analytics with Tableau Diploma

By Academy for Health and Fitness

QUALIFI Level 3 Diploma in Data Science

By School of Business and Technology London

Data Science Engineering: Data Analytics & Database Management with MySQL - QLS Endorsed

By Skill Up

Data Science: Basics, Data Mining, Excel, Python, SQL, Machine Learning & Tableau

By Imperial Academy

Business Analysis Course - BCS Foundation

By Duco Digital Training

Data Analytics with Tableau

By Skill Up

Data Analytics with Tableau at QLS Level 6

By Academy for Health and Fitness

Data Analyst : Retail Data Analytics at QLS Level 5

By Academy for Health and Fitness

Data Analyst (Data Analytics) Endorsed Diploma

By Academy for Health and Fitness

Financial Modelling & Valuation Analyst (FMVA) Essentials - CPD Certified

By Studyhub UK

Search By Location