Name: SQL for Data Science, Data Analytics and Data Visualization
Price: 10.99 GBP
Availability: InStock

Academy for Health and Fitness

Data Analyst (Data Analytics) Training

General Admission

<p>Tired of lost profits and missed opportunities? Imagine deciphering customer behaviour like a master codebreaker, predicting trends with laser accuracy, and turning data into a goldmine for your sales. Data Modelling empowers you to do just that.</p><p>UK retail alone saw a staggering £18 billion lost to poor data analysis in 2022. But the flip side? Companies embracing data-driven strategies saw a 6% average revenue boost. It's no longer a "nice-to-have" - it's the difference between thriving and surviving in today's dynamic market.</p><p>Stop guessing and start knowing. This Data Modelling course equips you with the skills to transform raw data into actionable insights. Learn to build powerful models, uncover hidden patterns, and forecast future sales with confidence. Take control of your sales destiny - enrol now and unlock the power of data.</p><p><strong>Learning Outcomes:</strong></p><ul><li>Execute robust Data Analysis using Excel for insightful decision-making.</li><li>Develop and administer MySQL databases for efficient data management.</li><li>Create impactful visualisations with Tableau for effective data communication.</li><li>Master Python and R for cutting-edge Data Science and Machine Learning.</li><li>Harness the power of Google BigQuery &amp; Cloud for scalable data engineering solutions.</li></ul><p>Embark on a transformative journey through the world of data, from fundamental analysis to advanced engineering. This diploma encompasses Data Analysis, Modelling, and Database Development, providing a holistic approach to data mastery. Dive into the intricacies of R Programming, Statistics, and Google Cloud, equipping yourself with skills that are highly sought after in today's data-driven landscape. Enroll now to stay ahead in the dynamic field of data!</p><p>This CPDQS Accredited Data Modelling Made Easy Bundle consists of these following 11 courses:</p><ul><li>Diploma in Data Analysis Fundamentals</li><li>Data Analysis In Excel</li><li>Data Entry Administrator Training</li><li>Diploma in Data Analytics with Tableau</li><li>MySQL Database Development</li><li>Data Science &amp; Machine Learning with Python</li><li>Business Data Analysis</li><li>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>R Programming for Data Science</li><li>Easy to Advanced Data Structures</li><li>Data Engineering with Google BigQuery &amp; Google Cloud</li></ul><p><strong>Certification</strong><br />Once you have finished the course, you will be eligible to apply for a CPD QS accredited certificate as proof of your new skills and your continued professional development. Certificates are available as PDF for £9, or you can request a hard copy to be sent in the post for £15.<br /></p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        35 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>Ideal for aspiring data analysts, professionals seeking career advancement, and tech enthusiasts.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p> Open to all! No formal prerequisites. Embrace the world of data without barriers.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst - £30,000 to £45,000</li><li>Database Developer - £35,000 to £50,000</li><li>Machine Learning Engineer - £45,000 to £70,000</li><li>Business Intelligence Analyst - £40,000 to £55,000</li><li>Data Engineer - £50,000 to £75,000</li></ul>
                        </div>

One Education

Data Modelling Made Easy - CPDQS Accredited Course

<p><strong>Dive into the digital goldmine: Unlock the power of Database Programming</strong></p><p>Did you know UK businesses store a staggering 2.3 exabytes of data? That's like filling 500 million DVDs! But harnessing this treasure trove requires the magic touch of database programming. Imagine, with just a few keystrokes, you could extract insights, streamline operations, and boost profits.</p><p>Database programming unlocks hidden connections and empowers you to make data-driven decisions that leave the competition in the dust. No more gut feelings and guesswork - imagine predicting customer trends, optimizing inventory, and personalizing experiences with laser precision. This isn't just about numbers - it's about giving your business the superpowers to thrive in the digital age.</p><p>Ready to unleash the power within your data? Enrol in Database Programming today and start mining your digital goldmine!</p><p><strong>Learning Outcomes:</strong></p><ul><li>Proficient Python Programming with MySQL integration.</li><li>Mastery in C# for AutoCAD and SQL Server Database.</li><li>Comprehensive knowledge of SQL, NoSQL, Big Data, and Hadoop.</li><li>Expertise in secure web application programming and graphics rendering with WebGL.</li><li>Advanced skills in SAS Programming for data analytics.</li></ul><p>This dynamic curriculum spans Python, C#, SQL, NoSQL, and more, providing a holistic approach to database programming. Whether you're a novice or an experienced programmer, this course equips you with the tools to navigate the ever-evolving landscape of database technologies. Perfect for individuals aspiring to become adept programmers and developers.</p><p><strong>This CPDQS Accredited Database Programming Bundle consists of the following 11 courses:</strong></p><ul><li>Python Programming from Scratch with My SQL Database</li><li>Programming AutoCAD with SQL Server Database Using C#</li><li>SQL NoSQL Big Data and Hadoop</li><li>Python Programming: Beginner To Expert</li><li>C# Programming - Beginner to Advanced</li><li>WebGL 2D/3D Programming and Graphics Rendering For The Web</li><li>Dart Masterclass Programming Course: iOS/Android Bible</li><li>Neuro-linguistic Programming (NLP) Diploma</li><li>SAS Programming Basic to Advanced</li><li>Secure Programming of Web Applications - Developers and TPMs</li><li>Diploma in Computer Programming</li></ul><p><strong>Certification</strong><br />Once you have finished the course, you will be eligible to apply for a CPD QS accredited certificate as proof of your new skills and your continued professional development. Certificates are available as PDF for £9, or you can request a hard copy to be sent in the post for £15.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        35 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>Ideal for:</p><ul><li>Aspiring Programmers</li><li>Database Developers</li><li>Web Application Developers</li><li>IT Professionals</li><li>Data Analysts</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This course is open to all and doesn't have any formal prerequisites. Embrace your passion for programming and databases without limitations.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Embark on a lucrative career journey with our Database Programming course! Unlock doors to diverse opportunities, including:</p><ul><li>Database Developer: £40,000 - £60,000</li><li>Web Application Developer: £35,000 - £55,000</li><li>Data Analyst: £45,000 - £65,000</li><li>IT Professional: £50,000 - £70,000</li><li>Software Engineer: £45,000 - £75,000</li></ul>
                        </div>

Unlock the Data Vault: Master Database Programming from Zero to Hero Course

<p><strong> Fall into Savings. Enjoy the biggest price fall this Autumn! </strong></p><p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Now</strong></p><p>Tired of browsing and searching for a <strong>Database </strong>course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed.</p><p>After surveying thousands of learners just like you and considering their valuable feedback, this all-in<strong>-</strong>one Database bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Database course that will enhance your skills and prepare you for the competitive job market.</p><p>Also, our experts are available for answering your queries on Database and help you along your learning journey. Advanced audio-visual learning modules of these Database courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once.</p><p>Furthermore, to help you showcase your expertise in Database, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.</p><p><strong>This Database Bundle Consists of the following Premium courses: </strong></p><ul><li><strong> </strong><strong>Course 01: </strong>Microsoft SQL Server Development for Everyone</li><li><strong> </strong><strong>Course 02: </strong>SQL Programming Masterclass</li><li><strong> </strong><strong>Course 03: </strong>SQL NoSQL Big Data and Hadoop</li><li><strong> </strong><strong>Course 04: </strong>Python Programming for Everybody</li><li><strong> </strong><strong>Course 05: </strong>Data Science with Python</li><li><strong> </strong><strong>Course 06: </strong>JavaScript Foundations for Everyone</li><li><strong> </strong><strong>Course 07: </strong>C# Programming - Beginner to Advanced</li><li><strong> </strong><strong>Course 08: </strong>R Programming for Data Science</li><li><strong> </strong><strong>Course 09: </strong>Three.js &amp; WebGL 3D Programming Course for Beginners</li><li><strong> </strong><strong>Course 10: </strong>Basic Google Data Studio</li><li><strong> </strong><strong>Course 11: </strong>Data Analytics with Tableau</li><li><strong> </strong><strong>Course 12: </strong>Spatial Data Visualization and Machine Learning in Python Level 4<strong><br /></strong></li><li><strong> </strong><strong>Course 13: </strong>Cyber Security Incident Handling and Incident Response</li><li><strong> </strong><strong>Course 14: </strong>Learn Ethical Hacking From A-Z: Beginner To Expert</li></ul><p>Enrol now in Database to advance your career, and use the premium study materials from Apex Learning.</p><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Database expertise and essential knowledge, which will assist you in reaching your goal.</p><p><strong>Curriculum of Bundle</strong></p><p><strong> Course 01: Microsoft SQL Server Development for Everyone</strong></p><ul><li>Introduction</li><li>Manipulating Tables and Data</li><li>Relationships Foreign Keys</li><li>Group By and Aggregate Functions</li><li>Advanced SQL Server Objects and Concepts</li></ul><p><strong>The detailed curriculum of the Database bundle is given in the resources section.</strong></p><p><strong>How will I get my Certificate?</strong></p><p>After successfully completing the course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong></strong><strong>PDF Certificate: Free (For The Title Course )</strong></li><li><strong></strong><strong>Hard Copy Certificate: Free (For The Title Course )</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

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

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

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

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

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

                        </div>

Apex Learning

Complete SQL and Databases Bootcamp: Zero to Mastery

<p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Now</strong></p><p>Tired of browsing and searching for a <strong>Linux </strong>course you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed.</p><p><strong>This Linux Bundle Consists of the following Premium courses:</strong></p><ul><li><strong> </strong><strong>Course 01: </strong>Learn Linux in 5 Days</li><li><strong> </strong><strong>Course 02: </strong>Linux Security and Hardening<strong><br /></strong></li><li><strong> </strong><strong>Course 03: </strong>Ethical Hacking with Kali Linux</li><li><strong> </strong><strong>Course 04:</strong> Cyber Security Incident Handling and Incident Response</li><li><strong> </strong><strong>Course 05: </strong>Network Security Level 2</li><li><strong> </strong><strong>Course 06: </strong>CompTIA Networking - Level 4</li><li><strong> </strong><strong>Course 07: </strong>Encryption</li><li><strong> </strong><strong>Course 08: </strong>Complete Web Application Penetration Testing &amp; Security</li><li><strong> </strong><strong>Course 09: </strong>Data Analytics</li><li><strong> </strong><strong>Course 10: </strong>Data Center Training Essentials: General Introduction</li><li><strong> </strong><strong>Course 11: </strong>Python Programming for Everybody</li><li><strong> </strong><strong>Course 12: </strong>Learning Computers and Internet Level 2</li><li><strong> </strong><strong>Course 13: </strong>Windows 10 Pro Complete Training</li><li><strong> </strong><strong>Course 14: </strong>Essential IT Skills Level 3</li></ul><p><strong>Curriculum of Bundle</strong></p><p><strong>Course 01: Learn Linux in 5 Days<br /></strong></p><p><strong>Unit 01: Overview</strong></p><ul><li>Course Overview</li></ul><p><strong>Unit 02: Day 1</strong></p><ul><li>Background and Introduction</li><li>Linux Distributions</li><li>Installing VirtualBox on Windows</li><li>Installing VirtualBox on Mac</li><li>Installing Linux Using an Image for VirtualBox</li><li>VirtualBox Troubleshooting Tips</li><li>When to Install Linux from Scratch</li><li>Installing CentOS from Scratch / CentOS Manual Installation Process</li><li>Getting Connected</li><li>Connect Directly</li></ul><p><strong>Unit 03: Day 2</strong></p><ul><li>The Linux Directory Structure</li><li>The Shell</li><li>Basic Linux Commands</li><li>Teach Yourself to Fish</li><li>Working with Directories</li><li>Listing Files and Understanding LS Output</li></ul><p><strong>Unit 04: Day 3</strong></p><ul><li>File and Directory Permissions Explained - Part One</li><li>File and Directory Permissions Explained - Part Two</li><li>View Files and the Nano Editor</li><li>Editing Files in Vi</li><li>Editing Files with Emacs</li><li>Finding Files and Directories</li><li>Graphical Editors</li></ul><p><strong>Unit 05: Day 4</strong></p><ul><li>Deleting, Copying, Moving, and Renaming Files</li><li>Wildcards - Part One</li><li>Wildcards - Part Two</li><li>Input, Output, and Redirection</li><li>Comparing Files</li><li>Searching in Files and Using Pipes</li><li>Transferring and Copying Files over the Network</li><li>Customizing the Shell Prompt</li><li>Shell Aliases</li></ul><p><strong>Unit 06: Day 5</strong></p><ul><li>Environment Variables</li><li>Processes and Job Control</li><li>Scheduling Repeated Jobs with Cron</li><li>Switching Users and Running Commands as Others</li><li>Shell History and Tab Completion</li><li>Installing Software on RPM Based Linux Distros: RedHat, CentOS, AlmaLinux, Rocky</li><li>Installing Software on Debian Based Linux Distros: Debian, Ubuntu, Kali Linux</li><li>Conclusion - Congratulations and Thank You!</li></ul><p><strong>Unit 07: Addendum - Connecting to a Linux Virtual Machine over the Network</strong></p><ul><li>Connecting to a Linux Virtual Machine over the Network <strong><br /></strong></li></ul><p><strong>Unit 08: Bonus</strong></p><ul><li>Bonus - Installing NGINX, MySQL, PHP, and WordPress on Ubuntu</li></ul><p><strong>How will I get my Certificate?</strong></p><p>After successfully completing the course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong></strong><strong>PDF Certificate: Free (For The Title Course )</strong></li><li><strong></strong><strong>Hard Copy Certificate: Free (For The Title Course )</strong></li></ul><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        190 CPD hours / points
                                    </div>
                                        <div>
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Linux Training Courses

<p><strong></strong><strong> Our Aim Is Your Satisfaction! Offer Ends Soon; Hurry Up!! </strong><strong></strong></p><p><strong>Are you looking to improve your current abilities or make a career move? Our unique</strong><strong> Data Analytics with Tableau</strong><strong> course might help you get there! Expand your expertise with high-quality training - study the</strong><strong> Data Analytics with Tableau </strong><strong>course and get an expertly designed, great-value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the</strong><strong>online training course.</strong></p><p>The Data Analytics with Tableau 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 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 course.</p><p>This Data Analytics with Tableau 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 Us? </strong></p><ul><li>Opportunity to earn a certificate accredited by <strong>CPDQS.</strong></li><li><strong>Get a free student ID </strong>card!(£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 course:</p><p><strong> Data Analytics with Tableau <br /></strong></p><ul><li>Module 01: Introduction to the Course</li><li>Module 02: Project 1: Discount Mart (Sales and Profit Analytics)</li><li>Module 03: Project 2: Green Destinations (HR Analytics)</li><li>Module 04: Project 3: Superstore (Sales Agent Tracker)</li><li>Module 05: Northwind Trade (Shipping Analytics)</li><li>Module 06: Project 5: Tesla (Stock Price Analytics)</li><li>Module 07: Bonus: Introduction to Database Concepts</li><li>Module 08: Tableau Stories</li></ul><p><strong>Assessment Process</strong></p><p>Once you have completed all the modules in the Data Analytics with Tableau course, you can assess your skills and knowledge with an optional assignment.</p><p><strong>Certificate of Completion</strong></p><p>The learners have to complete the assessment of this Data Analytics with Tableau course to achieve the <strong>CPDQS accredited certificate</strong>.</p><ul><li><strong>Digital Certificate: £10</strong></li><li><strong>Hard Copy Certificate: £29 (Inside UK)</strong></li><li><strong>Hard Copy Certificate: £39 (for international students)</strong></li></ul> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>Anyone interested in learning more about the topic is advised to take this Data Analytics with Tableau course. This course is open to everybody.</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

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

                        <div id="career_path">
                            <p>After completing this course, you are to start your career or begin the next phase of your career.</p>
                        </div>

Data Analytics with Tableau

<p><span>In an era awash with data, understanding it is the key to unlocking significant opportunities. Enter the realm of '<strong>SQL For Data Analytics &amp; Database Development</strong>'. Dive deep into the heart of data manipulation, exploration, and insight generation. This course unfurls the magic behind SQL, drawing back the curtain on the tools that empower businesses globally. Understanding SQL's profound capabilities opens doors to a world where data-driven decision-making is not just an advantage but an imperative.</span></p>
<p><span>It isn't simply about data storage. This course unravels the art of analytics, shedding light on how to glean valuable insights from vast data lakes. The path of SQL isn't merely technical; it's the spine of transformative decisions in today's leading industries. Offering a systematic approach to database development, we invite you to embark on this illuminative journey, stitching the threads of raw data into the fabric of meaningful stories.</span></p>
<p><span>Come harness the power of SQL. Whether your intent is data analytics or the intricate craft of database development, this is your gateway. Let us guide you, from the rudimentary steps to mastering advanced commands, constructing your data narrative, and informing the future.</span></p>
<p><strong><span>Learning Outcomes:</span></strong></p>
<ol>
<li><span>Comprehend the fundamental architecture of SQL and its environment.</span></li>
<li><span>Acquire proficiency in basic and advanced SQL statements.</span></li>
<li><span>Understand and implement GROUP BY statements for data aggregation.</span></li>
<li><span>Master the concepts and applications of JOINS in databases.</span></li>
<li><span>Cultivate the ability to create and structure databases and tables.</span></li>
<li><span>Delve into advanced SQL commands, enhancing data manipulation and querying capabilities.</span></li>
<li><span>Construct efficient database models, fostering optimal data storage and retrieval.</span></li>
</ol>
<p> </p>
<div>
<span>Video Player</span><div id="mep_0"><div><div>https://studyhub.org.uk/wp-content/uploads/2021/03/SQL-DATA-ANALYSIS.mp4</div><div><div></div><div><div><span></span></div></div><div><div></div></div><div><div></div></div></div><div><div></div><div><span>00:00</span></div><div><span><span></span><span></span><span></span><span></span><span><span></span></span><span><span>00:00</span><span></span></span></span></div><div><span>00:00</span></div><div><span>Use Up/Down Arrow keys to increase or decrease volume.</span><div><div></div><div></div></div></div><div></div></div></div></div></div>
<h3></h3>
<h3><strong>Why </strong><b>choose this </b><strong>SQL For Data Analytics &amp; Database Development </strong><b><span>course</span></b><strong>?</strong></h3>
<ol>
<li>Unlimited access to the course for a lifetime.</li>
<li>Opportunity to earn a certificate accredited by the <b>CPD Quality Standards</b><b> </b>after completing this course.</li>
<li>Structured lesson planning in line with industry standards.</li>
<li>Immerse yourself in innovative and captivating course materials and activities.</li>
<li>Assessments are designed to evaluate advanced cognitive abilities and skill proficiency.</li>
<li>Flexibility to complete the <b>SQL For Data Analytics &amp; Database Development</b> Course at your own pace, on your own schedule.</li>
<li>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</li>
</ol>
<h3><b>Who is this </b><strong>SQL For Data Analytics &amp; Database Development </strong><b>course for?</b></h3>
<ul>
<li>Aspirants seeking to transition into data-driven roles in various industries.</li>
<li>Database administrators aiming to broaden their analytical capabilities.</li>
<li>Business analysts eager to enhance their data querying skills.</li>
<li>Researchers in need of comprehensive data management tools.</li>
<li>Tech enthusiasts wanting to grasp the underpinnings of database systems.</li>
</ul>
<h3><b>Career path</b></h3>
<ul>
<li><strong>Data Analyst</strong> - Average salary: £35,000 - £50,000 Per Annum</li>
<li><strong>Database Developer</strong> - Average salary: £40,000 - £55,000 Per Annum</li>
<li><strong>Business Intelligence Analyst</strong> - Average salary: £38,000 - £52,000 Per Annum</li>
<li><strong>SQL Developer</strong> - Average salary: £42,000 - £58,000 Per Annum</li>
<li><strong>Database Administrator (DBA)</strong> - Average salary: £45,000 - £60,000 Per Annum</li>
<li><strong>Data Engineer</strong> - Average salary: £47,000 - £63,000 Per Annum</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>SQL For Data Analytics &amp; Database Development </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>Certification</b></h3>
<p><span>After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.</span></p><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Course Introduction</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Course Curriculum Overview</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Overview of Databases</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td colspan="4">SQL Environment Setup</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>MySQL Installation</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>MySQL Workbench Installation</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Connecting to MySQL using Console</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">SQL Statement Basics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Overview of Challenges</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SQL Statement Basic</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SELECT Statement</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SELECT DISTINCT</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Column AS Statement</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>COUNT built-in Method usage</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SELECT WHERE Clause - Part One</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SELECT WHERE Clause - Part Two</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SQL Statement Basic</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SQL Limit Clause Statement</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SQL Using BETWEEN with Same Column Data</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>How to Apply IN Operator</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Wildcard Characters with LIKE and ILIKE</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td colspan="4">GROUP BY Statements</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Overview of GROUP BY</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Aggregation function SUM()</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Aggregation MIN() and MAX()</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>GROUP BY - One</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>GROUP BY - Two</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>HAVING Clause</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">JOINS</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Overview of JOINS</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to JOINS</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>AS Statement table</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>INNER Joins</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FULL Outer Join</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>LEFT Outer JOIN</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>RIGHT JOIN</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Union</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Advanced SQL Commands / Statements</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Timestamps</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>EXTRACT from timestamp</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mathematical Functions</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>String Functions</td>
					<td> </td>
					<td><span><i></i> 00:22:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SUBQUERY</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Creating Database and Tables</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basic of Database and Tables</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>DataTypes</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Primarykey and Foreignkey</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create Table in SQL Script</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Insert</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Update</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Delete</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Alter Table</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Drop Table</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>NOT NULL Constraint</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>UNIQUE Constraint</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Databases and Tables</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating a Database backup</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>10a Overview of Databases and Tables</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>10c Restoring a Database</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Data Engineering

Microsoft SQL Server

Microsoft SQL

Data Science

AWS Certified Database

Data Skills

SQL For Data Analytics & Database Development

<div>
<div>
<div>
<div>
<div>
<div>
<p>This comprehensive course, 'SQL for Data Science, Data Analytics, and Data Visualization,' covers essential SQL concepts and tools for working with data. Participants will learn to manipulate, analyze, and visualize data using SQL Server, Azure Data Studio, and other relevant tools. The course also delves into advanced SQL commands, stored procedures, and data import/export, making it ideal for aspiring data professionals.</p>
<h3><strong>Learning Outcomes:</strong></h3>
<ul>
<li>Set up and configure SQL Server and SQL Azure Data Studio for data analysis.</li>
<li>Master SQL statements for data manipulation, data structure, and user management.</li>
<li>Utilize SQL queries, joins, and aggregate functions for efficient data analysis.</li>
<li>Understand SQL constraints, views, and advanced commands for in-depth data exploration.</li>
<li>Create and implement SQL stored procedures to automate tasks.</li>
<li>Leverage Azure Data Studio for data visualization and perform data analysis with SQL.</li>
</ul>
</div>
</div>
</div>
</div>
</div>
</div>
<h3><b>Why buy this SQL for Data Science, Data Analytics and Data Visualization?</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>SQL for Data Science, Data Analytics and Data Visualization</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 course for?</b></h3>
<p><span>This </span><b>SQL for Data Science, Data Analytics and Data Visualization</b><span> course is ideal for</span></p>
<ul>
<li><span>Students</span></li>
<li><span>Recent graduates</span></li>
<li><span>Job Seekers</span></li>
<li><span>Anyone interested in this topic</span></li>
<li><span>People already working in the relevant fields and want to polish their knowledge and skill.</span></li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>SQL for Data Science, Data Analytics and Data Visualization</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning.This </span><b>SQL for Data Science, Data Analytics and Data Visualization</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>
<p><span>As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This </span><b>SQL for Data Science, Data Analytics and Data Visualization </b><span>is a great way for you to gain multiple skills from the comfort of your home.</span></p><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Section 01: Getting Started</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>How to get course requirements</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Getting started on Windows, Linux or Docker</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>How to ask great questions</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FAQ's</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 02: SQL Server setting up</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Section Introduction</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Microsoft SQL Server Installation</td>
					<td> </td>
					<td><span><i></i> 00:19:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SQL Server Management Studio (SSMS) Installation</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>How to connect MS SQL (Windows Authentication)</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>How to connect MS SQL (SQL Server Authentication)</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Download and Restore Sample Database</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 03: SQL Azure Data Studio</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is Azure Data Studio</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Azure Data Studio Installation steps</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Azure Data Studio to Connect SQL Server</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Database</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Table</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Insert Data rows</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>View the Data returned by Query</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 04: SQL Database basic SSMS</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Section Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Overview of Databases8</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Database</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SQL Data Types</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Column Data Types on SSMS</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Table</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Overview of Primary Key and Foreign Key</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Primary Key</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Foreign Key</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Temporary tables</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 05: SQL Statements for DATA</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Section Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Insert statement</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Update statement</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Delete statement</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 06: SQL Data Structure statements</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Section Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>CREATE table statement</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>DROP statement</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>ALTER statement</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>TRUNCATE statement</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>COMMENT in query</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>RENAME</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 07: SQL User Management</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create Database user</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>GRANT permissions</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>REVOKE permissions</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 08: SQL Statement Basic</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Section Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SQL Statement basic</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SELECT Statement</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SELECT DISTINCT</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SELECT with column headings</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Column AS statement</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 09: Filtering Data rows</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SELECT WHERE Clause - theory</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SELECT WHERE Clause - practical</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 10: Aggregate functions</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sum()</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Min()-Max()</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 11: SQL Query statements</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order By statement</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SELECT TOP clause in SQL</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>BETWEEN command</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>IN operator</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Wildcard Characters and LIKE</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 12: SQL Group by statement</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Section Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Group by - theory8</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Group by - practical</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>HAVING statement</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 13: JOINS for Multiple table Data Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Overview of Joins</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What are Joins</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Inner join</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Left outer join</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Right outer join</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Full outer join</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Union</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Cartesian Product with the Cross Join</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Query Exercise</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Solution for Query Exercise</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 14: SQL Constraints</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Section introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Check constraint</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>NOT NULL constraint</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>UNIQUE constraint</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 15: Views</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Views</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Reporting with multiple tables</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 16: Advanced SQL commands</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Section Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Timestamp</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Extract from timestamp</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mathematical scalar functions</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>String functions</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sub Query</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>SELECT with calculations</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 17: SQL Stored procedures</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create stored procedure</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Stored procedure with parameter</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 18: Azure Data Studio Visualization</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Installing SandDance Extension</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Visualization Charts</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Multiple Table Data Charts</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 19: Azure Studio SQL for Data Analysis</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Type Decision for Data Analysis</td>
					<td> </td>
					<td><span><i></i> 00:13:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Analysis with Case Statement and String Text</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 20: Import &amp; Export data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Section Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Import Flat File</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Import .csv or excel file</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Export Data to Excel or any format</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 21: Backup and Restore Database</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Section Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Database backup</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Restoring Database backup</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Azure SQL Database

SQL Server

Data Studio

SQL for Data Science, Data Analytics and Data Visualization

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

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

			</div>

Online Course Marketing

Sports Coaching

Sports Science

Sports Marketing

Sports Management

Sports & Fitness

Sports Management: Navigating the Business of Sports

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

John Academy

Performance Management

Strategic Management

Conflict Management

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

Sports Management Leadership: Thriving in Sports Administration

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

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

                        <div id="who_is_this_course_for">
                            <p>Our Sports Management Online Training course is designed for anyone eager to expand their knowledge and skills, regardless of their background or experience level. Whether you're a working professional looking to upskill, a student seeking supplemental education, or an enthusiast pursuing a passion project, our courses are accessible to learners of all ages and abilities.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Invest in your future and unlock new career opportunities with our online Sports Management Online Training course. Gain valuable skills and credentials that are in high demand in today's competitive job market. Whether you're looking to switch careers, climb the corporate ladder, or start your own business, our Sports Management course provide the expertise and certification you need to succeed.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Sports Management Online Training Course

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

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

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

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

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

                        </div>

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

CompTIA A+

CompTIA Security+

CompTIA Data+

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

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

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

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

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

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

POST TRAINING COACHING SUPPORT (OPTIONAL)

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<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>
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Accreditions And Affliations

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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>
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<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>
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</section>
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<div id="accordion">
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Training Objectives 

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<div id="collapseOne">
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<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>
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<div>

Target Audience 

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<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>
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<div>

Course Level 

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

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<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

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               </div>
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Artificial Lift and Real-Time Production Optimization in Digital Oilfield

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<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>
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Training Objectives 

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<p>After the completion of this training course, participants will be able to:</p>
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<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>
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Target Audience 

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<p>This training course is suitable and will greatly benefit the following specific groups:</p>
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<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>
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Course Level 

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

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<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>
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<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>
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Trainer

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<p>Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA.</p>
<p><strong>Highlighted Work Experience: </strong></p>
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<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>
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<p><strong>Patents:</strong></p>
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<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>
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<p><strong>Worldwide Experience in Training / Seminar / Workshop Deliveries:</strong></p>
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<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:
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<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>
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POST TRAINING COACHING SUPPORT (OPTIONAL)

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<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>
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Accreditions And Affliations

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Gas Lift Design & Optimization using NODAL Analysis

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<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>
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Training Objectives 

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<p>Upon completion of this course, participants will be able to:</p>
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<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>
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Target Audience 

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<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>
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<li>Geologist</li>
<li>Geophysicist</li>
<li>Reservoir engineer</li>
<li>Drilling engineer</li>
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Course Level 

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<li>Intermediate</li>
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Trainer

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<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>
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POST TRAINING COACHING SUPPORT (OPTIONAL)

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<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>
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Accreditions And Affliations

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