Name: Analytics Training - CPD Certified
Price: 79 GBP
Availability: InStock

<p><strong>The future is data-driven.</strong> Imagine wielding the power to extract insights from vast datasets and leverage artificial intelligence to solve complex problems. This Data Science and Artificial Intelligence bundle empowers you to unlock the potential of data and AI. Equip yourself with the skills to solve complex problems, make informed decisions, and shape the future of data-driven innovation.</p><p><strong>What awaits you:</strong></p><ul><li><strong>15 in-depth courses:</strong> Master essential programming languages like Python and R, delve into statistics and probability, and explore the fascinating world of artificial intelligence.</li><li><strong>Learn by doing:</strong> Gain practical experience through hands-on projects, applying your knowledge to real-world data science and AI applications.</li><li><strong>Unlock career possibilities:</strong> Develop a sought-after skillset that opens doors to exciting opportunities in data science, machine learning, and AI-powered fields.</li></ul><p><strong>This is your chance to:</strong></p><ul><li>Become a data-driven decision-maker.</li><li>Build innovative AI solutions.</li><li>Transform businesses with the power of data.</li></ul><p><strong>Enrol now and take your first step towards a data-driven future!</strong></p><p><strong>Course List </strong></p><ul><li><strong>Statistics &amp; Probability for Data Science &amp; Machine Learning:</strong> Master the language of data! This course equips you with core statistical and probability concepts for analysing data and building machine learning models.</li></ul><ul><li><strong>R Programming for Data Science:</strong> Unleash the power of R, a popular programming language for data analysis and visualisation. Learn to manipulate data, perform statistical tests, and create informative graphics.</li></ul><ul><li><strong>Python Data Science:</strong> Dive into Python, the go-to language for data science. This course equips you with essential skills for data manipulation, analysis, and building machine learning models.</li></ul><ul><li><strong>SQL for Data Science, Data Analytics and Data Visualisation:</strong> Unlock the secrets of databases! Learn SQL, a powerful query language for retrieving and formatting data for analysis and visualisation in data science projects.</li></ul><ul><li><strong>Quick Data Science Approach from Scratch:</strong> Get started with data science fast! This course provides a foundational understanding of the entire data science workflow, from data acquisition to analysis and communication.</li></ul><ul><li><strong>Foundations of Artificial Intelligence:</strong> Demystify the world of AI! Explore core concepts like machine learning, deep learning, and natural language processing to understand how AI systems learn and solve problems.</li></ul><ul><li><strong>Consider replacing with:</strong><strong>Advanced Statistics for Data Science:</strong> Take your statistical skills to the next level. This course delves deeper into advanced statistical techniques commonly used in data science projects.</li></ul><ul><li><strong>ChatGPT &amp; AI: 23 Ways to Make Money with AI:</strong> Discover the monetisation potential of AI! Learn how to leverage ChatGPT, a large language model, and explore various ways to generate income through AI applications.</li></ul><ul><li><strong>ChatGPT for Marketing and Productivity with AI Tools:</strong> Boost your marketing and productivity with AI! Explore how ChatGPT and other AI tools can automate tasks, generate content, and optimise marketing campaigns.</li></ul><ul><li><strong>Hands-on Machine Learning Project - Auto Image Captioning for Social Media:</strong> Learn by doing! Build a real-world machine learning project that automatically generates captions for social media images. Gain practical experience in training and deploying a machine learning model.</li></ul><ul><li><strong>Spatial Data Visualisation and Machine Learning in Python:</strong> Uncover hidden patterns in location-based data! Learn spatial data analysis techniques and use Python to visualise and analyse geographic data for machine learning applications.</li></ul><ul><li><strong>Machine Learning for Predictive Maps in Python and Leaflet:</strong> Predict the future with maps and machine learning! Develop machine learning models that can make predictions based on geographic data, visualised using interactive maps with Leaflet.js.</li></ul><ul><li><strong>U&amp;P AI - Natural Language Processing (NLP) with Python:</strong> Make machines understand human language! Master NLP techniques for text analysis, sentiment analysis, and machine translation using Python libraries.</li></ul><ul><li><strong>Learn AI with Python:</strong> Deepen your understanding of AI. Explore various Python libraries and frameworks commonly used in machine learning and AI development.</li></ul><ul><li><strong>Creating REST APIs with Python Django:</strong> Connect your data and applications! Learn how to build RESTful APIs using Python's Django framework, enabling data exchange and communication between different systems.</li></ul><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>Aspiring data scientists, machine learning engineers, and AI enthusiasts</li><li>Business professionals seeking to leverage data and AI for better decision-making</li><li>Anyone curious about the future of technology and its applications</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

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

                        <div id="career_path">
                            <p>The Data Science &amp; Artificial Intelligence Bundle equips you with a versatile skillset that opens doors to a multitude of exciting career paths. Here's a glimpse into some potential journeys you can embark on:</p><ul><li>Data Scientist</li><li>Machine Learning Engineer</li><li>AI Specialist</li><li>Business Intelligence Analyst</li><li>Data Analyst</li><li>Research Scientist</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

One Education

Data Science and Artificial Intelligence (Online) Course

General Admission

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Get ready for an exceptional online learning experience with the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python, Data Science, Machine Learning, Data Mining &amp; Cyber Security </strong> bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This Python, Data Science, Machine Learning, Data Mining &amp; Cyber Security is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you&#39;re looking to break into a new field or deepen your existing knowledge, the<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> Python &amp; Data Science </strong>package has something for everyone.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As part of the Python, Data Science, Machine Learning, Data Mining &amp; Cyber Security package, you will receive complimentary PDF certificates for all courses in <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python &amp; Data Science</strong> bundle at no extra cost. Equip yourself with the Python &amp; Data Science bundle to confidently navigate your career path or personal development journey. Enrol our <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python &amp; Data Science </strong>bundletoday and start your career growth!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Bundle Comprises the Following CPD Accredited Courses:</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Programming: Beginner To Expert<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science &amp; Machine Learning with Python<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Coding with Python 3<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Introduction to Coding With HTML, CSS, &amp; Javascript<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python for Spatial Analysis in ArcGIS<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Programming Bible | Networking, GUI, Email, XML, CGI<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Business Intelligence and Data Mining<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">SQL for Data Science, Data Analytics and Data Visualization<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Data Science with Numpy, Pandas and Matplotlib<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Cloud Computing / CompTIA Cloud+ (CV0-002)<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Cyber Security Awareness Training<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learn Ethical Hacking From A-Z: Beginner To Expert<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Easy to Advanced Data Structures<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">R Programming for Data Science<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">GDPR UK Training</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Career Development Plan Fundamentals<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CV Writing and Job Searching<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learn to Level Up Your Leadership<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Networking Skills for Personal Success<br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Ace Your Presentations: Public Speaking Masterclass</strong></li></ol><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcome:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">By completing the course, you will:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Gain comprehensive insights into multiple fields.</li><li fr-original-style="" style="box-sizing: border-box;">Foster critical thinking and problem-solving skills across various disciplines.</li><li fr-original-style="" style="box-sizing: border-box;">Understand industry trends and best practices through the<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> Python &amp; Data Science</strong> Bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Develop practical skills applicable to real-world situations.</li><li fr-original-style="" style="box-sizing: border-box;">Enhance personal and professional growth with the<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> Python &amp; Data Science </strong>Bundle<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">.</strong></li><li fr-original-style="" style="box-sizing: border-box;">Build a strong knowledge base in your chosen course via the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python &amp; Data Science </strong>Bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Benefit from the flexibility and convenience of online learning.</li><li fr-original-style="" style="box-sizing: border-box;">With the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python &amp; Data Science</strong> package, validate your learning with a CPD certificate.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Each course in this bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Embrace the future of learning with the Python, Data Science, Machine Learning, Data Mining &amp; Cyber Security , a rich anthology of 15 diverse courses. Each course in the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python &amp; Data Science</strong> bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. This Python, Data Science, Machine Learning, Data Mining &amp; Cyber Security bundle will take you on a unique and enriching educational journey.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Python, Data Science, Machine Learning, Data Mining &amp; Cyber Security bundle offers you the flexibility and convenience to learn at your own pace. Make the Python &amp; Data Science package your trusted companion in your lifelong learning journey.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python, Data Science, Machine Learning, Data Mining &amp; Cyber Security</strong> bundle is perfect for:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Lifelong learners looking to expand their knowledge and skills.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals seeking to enhance their career with CPD certification.</li><li fr-original-style="" style="box-sizing: border-box;">Individuals wanting to explore new fields and disciplines.</li><li fr-original-style="" style="box-sizing: border-box;">Anyone who values flexible, self-paced learning from the comfort of home.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Requirements</div>
    </h2>

                        <div id="requirements" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Without any formal requirements, you can delightfully enrol this <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python, Data Science, Machine Learning, Data Mining &amp; Cyber Security</strong> course.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Unleash your potential with the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python, Data Science, Machine Learning, Data Mining &amp; Cyber Security </strong>bundle. Acquire versatile skills across multiple fields, foster problem-solving abilities, and stay ahead of industry trends. Ideal for those seeking career advancement, a new professional path, or personal growth. Embrace the journey with the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python &amp; Data Science </strong>bundle package.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">You will get a complimentary Hard Copy Certificate.</p></div>
        <h4 fr-original-style="" style="box-sizing: border-box;">Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>

                        </div>

NextGen Learning

Data Science

Cyber Security

Professional Skills Course (PSC)

Digital Skills

Continuous Professional Development (CPD)

ICDL (International Certification of Digital Literacy)

Python, Data Science, Machine Learning, Data Mining & Cyber Security - 20 Courses Bundle

<p>Data Analytics, FinTech and Cryptocurrency bundle course teaches you everything on the Data Analytics, FinTech and Cryptocurrency topic thoroughly from scratch so you can achieve a certificate for free to showcase your achievement in professional life. </p><p>This Data Analytics, FinTech and Cryptocurrency bundle course is a comprehensive course designed to provide a detailed understanding of the nature of the Data Analytics, FinTech and Cryptocurrency related sector and your key roles within it.</p><p>The training materials of this Data Analytics, FinTech and Cryptocurrency course are available online for you to learn at your own pace and fast-track your career with ease.</p><p><strong>Key Features of </strong><strong>Data Analytics, FinTech and Cryptocurrency </strong><strong>Bundle</strong></p><ul><li>CPD Accredited Data Analytics, FinTech and Cryptocurrency Course</li><li>Instant PDF certificate</li><li>Fully online, interactive Data Analytics, FinTech and Cryptocurrencycourse</li><li>Self-paced learning and laptop, tablet, smartphone-friendly</li><li>24/7 Learning Assistance</li><li>Discounts on bulk purchases</li></ul><p><strong>Enrol now in this </strong><strong>Data Analytics, FinTech and Cryptocurrency</strong><strong> Bundle course to excel! </strong></p><p>To become successful in your profession, you must have a specific set of Data Analytics, FinTech and Cryptocurrency skills to succeed in today's competitive world. In this in-depth Data Analytics, FinTech and Cryptocurrencytraining course, you will develop the most in-demand Data Analytics, FinTech and Cryptocurrency skills to kickstart your career, as well as upgrade your existing knowledge &amp; skills.</p><p><strong>Data Analytics, FinTech and Cryptocurrency </strong><strong>Curriculum</strong></p><ul><li><strong>Course 01: </strong>Data Analytics<strong><br /></strong></li></ul><ul><li><strong>Course 02: </strong>FinTech<strong><br /></strong></li></ul><ul><li><strong>Course 03: </strong>Cryptocurrency<strong><br /></strong></li></ul><p><strong>Accreditation</strong></p><p>This Data Analytics, FinTech and Cryptocurrency bundle courses are CPD 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>Certification</strong></p><p>Once you've successfully completed your Data Analytics, FinTech and Cryptocurrency course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99).</p><h2>
        
        <div>CPD</div>
    </h2>

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

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

                        <div id="career_path">
                            <p>This Data Analytics, FinTech and Cryptocurrency Course will help you to explore avariety of career paths in the related industry. </p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Hardcopy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p><strong>Hardcopy Certificate (UK Delivery):</strong></p><p>For those who wish to have a physical token of their achievement, we offer a high-quality, printed certificate. This hardcopy certificate is also provided free of charge. However, please note that delivery fees apply. If your shipping address is within the United Kingdom, the delivery fee will be only <strong>£3.99</strong>.</p><p><strong>Hardcopy Certificate (International Delivery):</strong></p><p>For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only <strong>£10</strong>.</p></div>

                        </div>

Training Express

Data Analytics, FinTech and Cryptocurrency Course

<strong>This advanced course created by data analysts who use Alteryx daily while working with their clients teaches data cleansing and manipulation, working in databases, apps, and macros, and breaks down Alteryx's latest product, Alteryx Intelligence Suite, which includes ML tools that introduce individuals to the world of AI</strong>
        <p>Alteryx provides a platform for data preparation, blending, and advanced analytics. The Alteryx platform allows users to access, cleanse, and integrate data from various sources, and perform statistical analysis, predictive modeling, and geospatial analysis. Alteryx offers a range of tools and integrations with other software platforms, including Tableau, Snowflake, and Microsoft Azure for users to easily share data and insights across different teams and applications.

The course begins with an introduction to Alteryx and its features and capabilities. You will also learn about its tools and uses. We will then advance to learning about using multiple files and Calgary, sampling data, and using wild matches and data cleansing, manipulation, binning, and grouping. We will explore how to use RegEx (regular expressions) and parse XML. We will work with In-Database and blend, select, and summarize data. You will learn about macros and using iterative and batch macros and customizing apps and macros. Finally, we will explore machine learning and the Alteryx Intelligence Suite.

Upon completion of the course, you will be able to independently handle data cleansing and manipulation, working in databases, apps, and macros, and acquire skills needed to pass Alteryx's certification as well as on-job skills needed to become data analytic experts.</p>
        <h2>What You Will Learn</h2><p>Learn data cleansing, manipulation, binning, and grouping<br>Understand how to use RegEx (regular expressions) and parse XML<br>Work with In-Database and blend, select, and summarize data<br>Learn about apps and macros, understand app errors and conditions<br>Customize apps and macros and use iterative and batch macros<br>Learn about machine learning and the Alteryx Intelligence Suite</p>
        <h2>Audience</h2><p>This advanced course is designed for individuals with beginner- to intermediate-level knowledge of Alteryx who are looking to build upon those skills. The prerequisites for the course would include an intermediate to advanced understanding of Excel, which would be useful while learning the concepts of the course.</p>
        <h2>Approach</h2><p>This course is designed to be delivered over video-led, high-definition training with concepts being delivered over a classroom-style tutorial and drawing-board experience. The course includes multiple quizzes and exercises to help learn the topics and concepts comprehensively.</p>
        <h2>Key Features</h2><p>Learn about Alteryx on data cleansing, manipulation, working in databases, apps, and macros * Acquire skills needed to pass Alteryx's certification or to become data analytics experts * Explore Alteryx's Intelligence Suite, with ML tools that introduce you to the world of AI</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Alteryx-Advanced</p>
        <h2>About the Author</h2><h3>Simon Sez IT</h3><p>Simon Sez IT has offered technical courses for individuals, small businesses, and Fortune 500 companies since 2008, with thousands of employees who can benefit from the easy-to-learn and hands-on software training. It offers over 8,000 video tutorials on a range of software programs.

Simon Sez IT ensures stress-free eLearning and enhanced employee productivity-whether you implement new software or a technological upgrade in your work environment. With over 600,000 students from 180 countries, Simon Sez IT is the preferred online learning choice for individuals and businesses worldwide.</p>
        <h2>Course Outline</h2><h4>1. Data Cleansing & Manipulation</h4><p></p><br><h4>2. Working in Database</h4><p></p><br><h4>3. Apps and Macros</h4><p></p><br><h4>4. Intelligence Suite</h4><p></p><br><h4>5. Exercises and Course Close</h4><p></p>

Packt

Data Visualization

This advanced course created by data analysts who use Alteryx daily while working with their clients teaches data cleansing and manipulation, working in databases, apps, and macros, and breaks down Alteryx's latest product, Alteryx Intelligence Suite, which includes ML tools that introduce individuals to the world of AI

Alteryx Advanced

<p>Are you ready to unlock the power of data and gain a competitive edge in business? Look no further than our captivating bundle: Statistical Analysis with Data Analytics &amp; Business Intelligence. In the UK, professionals with expertise in statistical analysis, data analytics, and business intelligence can command an impressive salary range of £35,000 to £70,000 per year, reflecting the high demand for these skills in today's data-driven economy.</p><p>In today's data-driven world, the ability to analyse and interpret data is in high demand. This bundle combines three essential courses that will empower you to become a proficient statistical analyst, data analytics expert, and business intelligence analyst. You'll learn the fundamentals of statistics, explore advanced data analytics techniques, and master leveraging data for business intelligence.</p><p>Each course in this Statistical Analysis with Data Analytics &amp; Business Intelligence bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated. This Statistical Analysis with Data Analytics &amp; Business Intelligence bundle promises an evolving learning experience. Engage in this extraordinary collection, and prepare to enrich your personal and professional development.</p><p>Immerse yourself in these diverse, enthralling subjects, each designed to fuel your curiosity and enhance your knowledge. Dive in now!</p><p><strong>The courses in this bundle include:</strong></p><ol><li><strong>Statistics</strong></li><li><strong>Data Analytics</strong></li><li><strong>Business Intelligence Analyst</strong></li></ol><p><strong>Learning Outcomes:</strong></p><ul><li>Strong Foundation in Statistics: Develop a solid understanding of statistical concepts, including probability, hypothesis testing, regression analysis, and data distributions.</li><li>Proficient Data Analytics Skills: Gain hands-on experience in data analysis, wrangling, and visualisation techniques using popular tools and software.</li><li>Advanced Statistical Techniques: Learn advanced statistical methods such as multivariate analysis, time series analysis, and predictive modelling to extract valuable insights from complex datasets.</li><li>Business Intelligence Expertise: Acquire the skills to design and develop visually compelling dashboards, reports, and data-driven strategies to support informed decision-making in organisations.</li><li>Data-driven Decision-making: Learn how to leverage data to identify trends, patterns, and correlations, enabling evidence-based decision-making that drives business growth and success.</li><li>Effective Communication of Insights: Develop the ability to communicate complex data insights to non-technical stakeholders, translating data findings into actionable recommendations.</li></ul><p>The Statistical Analysis with Data Analytics &amp; Business Intelligence bundle offers a comprehensive course to equip learners with the skills and knowledge needed to excel in statistical analysis, data analytics, and business intelligence.</p><p>The <strong>Statistics Essentials</strong> course provides a comprehensive introduction to the fundamental principles of statistical analysis. You will explore probability theory, hypothesis testing, confidence intervals, and regression analysis. You will develop skills to analyse and interpret data. This solid foundation for your statistical journey enables you to apply statistical techniques to various fields.</p><p>In the <strong>Data Analytics </strong>course, you will delve into the exciting realm of data exploration and analysis. You will learn how to extract, clean, and transform data from diverse sources, ensuring its quality and reliability. Through hands-on exercises and case studies, you will acquire the skills to apply advanced data analytics techniques, including data visualisation, predictive modelling, and pattern recognition. By the end of this course, you will be equipped with the tools to uncover valuable insights from complex datasets and contribute to evidence-based decision-making.</p><p><strong>The Business Intelligence Analyst </strong>course focuses on developing your business intelligence and data visualisation expertise. You will learn how to design and create interactive dashboards using industry-leading tools, generate comprehensive reports, and deliver meaningful insights to stakeholders. Additionally, you will gain an understanding of data management, data governance, and the role of business intelligence in strategic decision-making.</p><p>Take advantage of this incredible opportunity to become a skilled statistical analyst, data analytics expert, and business intelligence professional. Enrol in the Statistical Analysis with Data Analytics &amp; Business Intelligence bundle today and unlock endless possibilities. Start your journey towards a rewarding career in the dynamic field of data-driven decision-making.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>The target audience for the course is:</p><ul><li>Professionals seek to enhance their analytical skills and broaden their career prospects in data-driven roles.</li><li>Individuals are interested in pursuing a career as a data analyst, business intelligence analyst, or data scientist.</li><li>Business professionals who want to leverage data to make informed decisions and drive organisational success.</li><li>Graduates or students with a background in mathematics, statistics, or a related field looking to specialise in data analytics and business intelligence.</li><li>Entrepreneurs or business owners who want to harness the power of data to optimise their operations and strategic decision-making.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Some of the career paths related to this field are:</p><ul><li>Data Analyst: £25,000 - £45,000 per year</li><li>Business Intelligence Analyst: £30,000 - £55,000 per year</li><li>Data Scientist: £40,000 - £70,000 per year</li><li>Analytics Manager: £45,000 - £80,000 per year</li><li>Statistical Analyst: £30,000 - £55,000 per year</li><li>Market Research Analyst: £25,000 - £45,000 per year</li><li>Data Consultant: £35,000 - £70,000 per year</li></ul>
                        </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 -
            £9.99
        </p>
            <div><p>Unlock your potential and showcase your accomplishments with our CPD Quality Standards certificates!</p><p>Upon successful completion of the course, learners can obtain a CPD Quality Standards PDF certificate for <strong>Statistics</strong> absolutely free!</p><p>Upon finishing <strong>Data Analytics</strong> and <strong>Business Intelligence Analyst</strong>, you'll have the opportunity to obtain valuable proof of your achievement. For just £4.99, we'll send you a CPD Quality Standards PDF Certificate via email, or if you prefer, you can get a beautifully printed hardcopy certificate for £9.99 in the UK. If you're located internationally, don't worry! We offer a printed hardcopy certificate for £14.99, ensuring your success knows no boundaries. Grab your certificate and celebrate your success today!</p></div>

                        </div>

Business Analytics & Intelligence

Big Data Analytics

Business Intelligence (BI)

Data Analyst

Business Data Analysis

Statistical Analysis with Data Analytics & Business Intelligence

<p><strong>Data Analysis (Data Analytics) and Business Modelling</strong></p><p>In today's digital age, <strong>mastering Data Analysis is paramount for professionals across industries</strong>. This course equips individuals with the necessary skills to navigate the vast realm of data, from basic analytics to sophisticated techniques. With modules covering everything from statistics and data mining to Excel proficiency and visualisation tools, students gain a comprehensive understanding of Data Analysis methodologies. Moreover, Business Modelling adds another dimension by integrating strategic analysis, financial modelling, and risk management into the curriculum.</p><p>As the demand for data-savvy professionals continues to surge, particularly in the <strong>UK with a projected 20% increase in job opportunities</strong>, mastering Data Analysis and Business Modelling opens doors to lucrative career prospects. With an <strong>average annual salary of £50,000</strong>, individuals who undergo this training are well-positioned to thrive in the rapidly evolving landscape of data-driven decision-making.</p><p><strong> Embracing this course not only enhances employability but also empowers professionals to drive innovation and success in the modern business world.</strong></p><p><strong>This Data Analysis (Data Analytics) and Business Modelling Bundle Includes the following Courses : </strong></p><ul><li><strong>Course 01:</strong> Data Analytics</li><li><strong>Course 02:</strong> Business Modelling</li></ul><p><strong>Key Features</strong></p><ul><li>CPD Certified Data Analysis (Data Analytics) and Business Modelling course.</li><li>Instant e-certificate</li><li>Fully online, interactive Data Analysis (Data Analytics) and Business Modelling course with audio voiceover</li><li>Developed by professionals in the field</li><li>Self-paced learning and laptop, tablet, smartphone-friendly</li><li>24/7 Learning Assistance</li></ul><p>But we don't stop there. Our curriculum extends its embrace to the world of business analysis, where you'll navigate through the intricacies of business processes, financial modelling, and strategic formulation. Dive into the realms of risk management and business law, equipping yourself with the knowledge to navigate the complex landscape of commerce with confidence and finesse.</p><p>Enrol now and unlock the potential to revolutionise industries, shape strategies, and drive innovation through the power of data-driven insights. The journey to becoming a master of data and business awaits, and with our comprehensive curriculum, you'll emerge as a trailblazer in the ever-evolving landscape of modern business.</p><p><strong>Course Curriculum of this Data Analysis (Data Analytics) and Business Modelling Course:</strong></p><p><strong>Data Analytics</strong></p><ul><li><strong>Module 01:</strong> Introduction to the World of Data</li><li><strong>Module 02:</strong> Basics of Data Analytics</li><li><strong>Module 03:</strong> Statistics for Data Analytics</li><li><strong>Module 04:</strong> Actions Taken in the Data Analysis Process</li><li><strong>Module 05:</strong> Gathering the Right Information</li><li><strong>Module 06:</strong> Storing Data</li><li><strong>Module 07</strong>: Data Mining</li><li><strong>Module 08:</strong> Excel for Data Analytics</li><li><strong>Module 09:</strong> Tools for Data Analytics</li><li><strong>Module 10:</strong> Data-Analytic Thinking</li><li><strong>Module 11:</strong> Data Visualisation That Clearly Describes Insights</li><li><strong>Module 12:</strong> Data Visualisation Tools</li></ul><p><strong>Business Modelling</strong></p><ul><li><strong>Module 01:</strong> Introduction to Business Analysis</li><li><strong>Module 02:</strong> Business Processes</li><li><strong>Module 03: </strong>Business Analysis Planning and Monitoring</li><li><strong>Module 04: </strong>Strategic Analysis and Product Scope</li><li><strong>Module 05:</strong> Basic Financial Calculations</li><li><strong>Module 06:</strong> Overview of Financial Markets, Financial Assets, and Market Participants</li><li><strong>Module 07:</strong> Financial Statement Modelling</li><li><strong>Module 08:</strong> Types of Financial Models</li><li><strong>Module 09:</strong> Sales and Revenue Model</li><li><strong>Module 10:</strong> Cost of Goods Sold and Inventory Model</li><li><strong>Module 11:</strong> An Introduction to Business Planning</li><li><strong>Module 12:</strong> Strategy Formulation</li><li><strong>Module 13:</strong> Strategy Implementation</li><li><strong>Module 14:</strong> Risk and Types of Risk</li><li><strong>Module 15:</strong> Introduction to Risk Management</li><li><strong>Module 16:</strong> Risk Management Process</li><li><strong>Module 17:</strong> Understanding Business Law</li><li><strong>Module 18:</strong> European Community Law</li><li><strong>Module 19:</strong> Contract &amp; Business Law</li><li><strong>Module 20:</strong> Consumer Law and Protection</li><li><strong>Module 21:</strong> Law of Tort</li><li><strong>Module 22:</strong> Company Law</li></ul><p><strong>Learning Outcomes:</strong></p><ul><li>Analyse business processes and develop strategic analysis for product scope.</li><li>Understand basic financial calculations and financial statement modelling techniques.</li><li>Create sales, revenue, cost of goods sold, and inventory models.</li><li>Formulate business strategies and implement risk management processes effectively.</li><li>Gain knowledge of business law, including European community law and contract law.</li><li>Apply principles of consumer law, protection, and company law in business modelling.</li></ul><p><strong>Accreditation</strong></p><p>All of our courses, including the <strong>Data Analysis (Data Analytics) and Business Modelling</strong><strong> Course</strong> are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in Data Analysis (Data Analytics) and Business Modelling.</p><p><strong>Certification</strong></p><p>Once you've successfully completed your <strong>Data Analysis (Data Analytics) and Business Modelling</strong><strong> Course,</strong> you will immediately be sent your digital certificates. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our Data Analysis (Data Analytics) and Business Modelling certifications have no expiry dates, although we recommend renewing them every 12 months.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>This Data Analysis (Data Analytics) and Business Modelling Course can be taken by anyone who wants to understand more about the topic. With the aid of this course, you will be able to grasp the fundamental knowledge and ideas. Additionally, this Data Analysis (Data Analytics) and Business Modelling Course is ideal for:</p><ul><li>Business students seeking foundational knowledge in Data Analysis (Data Analytics) and Business Modelling.</li><li>Entrepreneurs aiming to develop and refine their business planning and strategy.</li><li>Professionals transitioning into business analysis or financial modelling roles.</li><li>Small business owners looking to enhance their understanding of financial planning.</li><li>Anyone interested in learning about business law and risk management in business.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>Learners do not require any prior qualifications to enrol on this Data Analysis (Data Analytics) and Business Modelling Course. You just need to have an interest in Data Analysis (Data Analytics) and Business Modelling Course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After completing this Data Analysis (Data Analytics) and Business Modelling Course you will have a variety of careers to choose from. The following job sectors of Data Analysis (Data Analytics) and Business Modelling Course are:</p><ul><li>Business Analyst</li><li>Financial Analyst</li><li>Risk Manager</li><li>Compliance Officer</li><li>Legal Advisor</li><li>Strategy Consultant</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 £10.<br />Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.</p></div>

                        </div>

Data Analysis (Data Analytics) and Business Modelling Course

<p><strong>*** Data Analyst Training ***</strong></p><p>Approximately <strong>3.5 million jobs</strong> are there for professionals with Data Analyst skills. Understanding, harnessing, and using data in business is no longer just a competence for a few groups of highly compensated analysts. Data analysis is increasingly becoming a requirement for many occupations. You can obtain a strong foundation in data analysis and get your foot in the growing data world with this outstanding value, six-course Data Analyst Training bundle.</p><p>You will learn the fundamentals of data analysis from the Data Analyst Training bundle, which also covers process management concepts, numerous tools &amp; techniques for data analysis, dealing with variations tactics, and chart interpretation. Additionally, you will comprehensively understand how to use Excel to analyse and visualise data. This Data Analyst Training course teaches you how to make pivot tables, maps, and forecasting data. You will also learn about Microsoft Power BI.</p><p>Our intention is to give you thorough preparation. This <strong>Data Analyst Training bundle</strong> will prepare you to work as a data analyst. Each of the data analysis topics builds upon the one before it. And this is exactly why our Training is so beneficial. We promise that everything is presented in the proper sequence and that you won't get lost along the way.</p><p><strong>So why wait? Every day is a missed opportunity.</strong></p><p><strong>Enrol Data Analysis today and enjoy a smooth learning experience.</strong></p><p><strong>Learning Outcome of Data Analyst Training bundle</strong></p><ul><li>Get introduced yourself to how to analyse data</li><li>Know more about how to structure data analysis and forecast them</li><li>Become fully aware of how to use Google data studio and Microsoft azure machine learning</li><li>Gain the ability to use JavaScript</li><li>Learn to protect your data by using a Data protection practitioner and Clinical Data Analysis</li><li>Acquire knowledge of Machine Learning and how to use them with Python</li><li>Get <strong>Data Analyst Training</strong> from the experts</li><li>Understand the basics of data science and visualisation so that you can apply them frequently</li></ul><p><strong>Key Features &amp; Benefits:</strong></p><ul><li>Quality Licence Scheme (QLS) endorsed</li><li>CPD Accredited</li><li>Lifetime Access &amp; 24/7 Support on weekdays (Monday to Friday)</li><li>Self-paced course modules</li><li>Course materials feature captivating voice-overs and visuals</li></ul><p><strong>Why Quality Licence Scheme (QLS)?</strong></p><ul><li>Achieving <strong>Quality Licence Scheme</strong> endorsed certificates can provide you with valued and credible evidence of <strong>your skills and knowledge to potential employers.</strong></li><li>Quality Licence Scheme (QLS) endorsements are awarded to training programmes and courses that <strong>meet high quality standards</strong>, ensuring that your certificate represents <strong>a valuable achievement.</strong></li><li>The stringent assessment process involved in achieving Quality Licence Scheme Endorsed Certificates ensures that you have acquired the <strong>necessary skills and knowledge to excel in your chosen field.</strong></li></ul><p>With our Data Analyst (Data Analytics) bundle course, you can gain a solid foundation in data analysis and get your foot in the thriving data world.</p><ol><li>Diploma in Data Analysis Fundamentals <strong>( QLS Level 5 Endorsed )</strong></li><li>Business Data Analysis</li><li>Data Analysis In Excel <strong>( QLS Level 5 Endorsed )</strong></li><li>Diploma in Data Analytics with Tableau <strong>( QLS Level 6 Endorsed )</strong></li><li>Data Protection</li><li>Microsoft Power BI - Master Power BI in 90 Minutes!</li></ol><p>Data Analyst (Data Analytics) bundle course will educate you on the basics of data analysis, including process management principles, various tools &amp; techniques for data analysis, the strategies to deal with variations, and the interpretation of charts. Along with that, you will also gain a clear idea of analysing and visualising data using excel. This Data Analyst course will teach you how to create pivot tables, map and forecasting data.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>This Data Analyst (Data Analytics) Training is ideal for highly motivated individuals who want to enhance their professional skills and train for the job they want!</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal entry requirements for the Data Analyst Training, with enrollment open to anyone!</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Data Analyst Training Bundle is ideal for anyone who wants to take their career development to the next level and fast-track their career in any of the following roles:</p><ul><li>Data analytics manager</li><li>Financial analyst</li><li>Marketing analyst</li><li>Systems analyst</li><li>Data scientist</li><li>Machine learning engineer</li><li>Data analytics consultant</li></ul><p>In the UK, these professions' pay scale ranges from <strong>£45,000 to £120,000 </strong>per year.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            £9
        </p>
            <div> <p><strong>CPD Accredited Certification from One Education</strong></p><p>Once you have finished the bundle, you will be eligible to apply for CPD QS-accredited certificates. Certification is available in both PDF &amp; hardcopy format, which can be received by paying -</p><ul><li><strong>PDF Certificate: £9</strong></li><li><strong>Hardcopy Certificate (within the UK): £15</strong></li><li><strong>Hardcopy Certificate (international): £15 + £10 (postal charge) = £25</strong></li></ul> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            £109
        </p>
            <div> <p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>After successfully completing the following courses under the bundle, learners will be able to order endorsed certificates as proof of their achievement:</p><ul><li><strong>Diploma in Data Analyst Fundamentals (within the UK: £109, International: £119)</strong></li><li><strong>Data Analyst In Excel (within the UK: £109, International: £119)</strong></li><li><strong>Diploma in Data Analytics with Tableau (within the UK: £119, International: £129</strong></li></ul> </div>

                        </div>

Data Analyst (Data Analytics) Course

<p>In today's rapidly evolving digital era, the fusion of finance and technology has paved the way for unprecedented opportunities. Enter the world of FinTech, Cryptocurrency, and the power of Data Analysis. With this '<strong>Data Analytics (Data Analysis), FinTech and Cryptocurrency</strong>' bundle, you're taking the first step into a realm where Data Analysis isn't just a tool-it's the core of decision-making. Dive deep into the nuances of modern finance, learn the intricacies of Cryptocurrency, and harness the might of Data Analysis to make informed strategies. </p><p>In the UK, professionals in these fields can enjoy impressive salary ranges, with earnings starting from £35,000 per year and reaching up to £80,000 per year, making it an enticing career choice. This bundle includes<strong> three courses </strong>that will equip you with the essential knowledge and skills to excel in this domain. This comprehensive <strong>Data Analysis </strong>bundle provides a valuable opportunity to explore the world of finance, technology, and data. By enrolling in these <strong>Data Analysis </strong>bundles, you will gain a deep understanding of the innovations shaping the financial industry, such as blockchain and artificial intelligence, and how they intersect with technology.</p><p>Each Data Analytics (Data Analysis) course in FinTech and Cryptocurrency bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This <strong>Data Analysis </strong>bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development.</p><p><strong>Immerse yourself in these diverse, enthralling subjects, each designed to fuel your curiosity and enhance your knowledge. Dive in now!</strong></p><p><strong>The courses in this Data Analysis bundle include:</strong></p><ul><li><strong>Course 1: </strong>FinTech</li><li><strong>Course 2: </strong>Cryptocurrency</li><li><strong>Course 3: </strong>Data Analytics</li></ul><p><strong>Learning Outcomes:</strong></p><p>By completing this <strong>Data Analysis </strong>bundle, you will achieve the following learning outcomes:</p><ul><li>Understand the principles and applications of FinTech in the financial industry.</li><li>Leverage Data Analysis for informed decision-making in finance and digital currencies.</li><li>Use Data Analysis to forecast market trends in FinTech and Cryptocurrency.</li><li>Apply statistical analysis techniques to interpret data effectively.</li><li>Elevate financial proficiency by integrating insights from Data Analysis.</li><li>Develop a strategic mindset for leveraging data analytics in FinTech and Cryptocurrency.</li></ul><p>The first course, <strong>FinTech</strong>, delves into the fascinating intersection of finance and technology. Gain a deep understanding of the technological innovations that are revolutionising the financial industry, including blockchain, artificial intelligence, and mobile banking. Explore the impact of digital currencies, peer-to-peer lending, and robo-advisors on traditional financial systems.</p><p>The second course, <strong>Cryptocurrency</strong>, uncovers the secrets of this decentralised digital currency phenomenon. Discover the fundamentals of cryptocurrencies, such as Bitcoin and Ethereum, and explore the underlying blockchain technology. Dive into topics like mining, digital wallets, smart contracts, and the future of cryptocurrencies. Develop a solid foundation to navigate the complex world of digital assets.</p><p>The third course, <strong>Data Analytics</strong>, equips you with the essential skills to extract insights from vast amounts of data. Learn the techniques and tools used to collect, clean, and analyze data, allowing you to make informed decisions and predictions. Dive into statistical analysis, data visualisation, and machine learning algorithms. Harness the power of data to drive business growth and enhance decision-making processes.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>This Data Analytics (<strong>Data Analysis)</strong> in FinTech and Cryptocurrency course is suitable for:</p><ul><li>Professionals aspiring to work in the FinTech or Cryptocurrency sectors.</li><li>Financial analysts seeking to enhance their data analytics skills.</li><li>Entrepreneurs who are interested in leveraging technology to innovate in the financial industry.</li><li>Graduates looking to enter the finance or technology sectors with a competitive edge.</li><li>Business professionals aiming to stay ahead of industry trends.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You can delightfully enrol in this Data Analytics (<strong>Data Analysis)</strong> in FinTech and Cryptocurrency course without any formal requirements.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>You can pursue various exciting career paths in FinTech and Cryptocurrency, including:</p><ul><li>Financial Data Analyst: £35,000 - £50,000 per year.</li><li>Blockchain Developer: £45,000 - £75,000 per year.</li><li>Cryptocurrency Investment Analyst: £50,000 - £80,000 per year.</li><li>FinTech Consultant: £40,000 - £65,000 per year.</li><li>Data Scientist (Financial Sector): £55,000 - £90,000 per year.</li></ul>
                        </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 -
            £9.99
        </p>

                        </div>

Finance Cert & Exam Prep

Certified Cryptocurrency Investigator Course (CCI)

Cryptocurrency & Blockchain

Data Analytics (Data Analysis), FinTech and Cryptocurrency

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">The demand for financial engineers is skyrocketing.</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Did you know that the demand for financial engineering professionals is rising? In today&#39;s ever-changing economic landscape, having a solid foundation in financial analysis, business finance, and data analytics is crucial for success. Our comprehensive bundle of 15 courses in Financial Engineering is designed to equip you with the theoretical knowledge and analytical skills necessary to excel in this field.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">With our bundle, you&#39;ll embark on a transformative learning journey, expanding your financial intelligence and gaining valuable insights into financial analysis, business finance, investment strategies, and risk management. Explore the fascinating realm of FinTech and its impact on the industry, from digital banking to cryptocurrencies. Dive into the world of data analytics, unlocking the power of business and data analytics for informed decision-making.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&bull;&nbsp;<strong id="isPasted" fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 01:</strong> Financial Analysis<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 02:</strong> Basic Business Finance<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 03:</strong> Improve your Financial Intelligence<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 04:</strong> FinTech<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 05:</strong> Investment<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 06:</strong> Business and Data Analytics for Beginners<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 07:</strong> Corporate Finance: Profitability in a Financial Downturn<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 08:</strong> Statistics<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 09:</strong> Economics<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 10:</strong> Business and Financial Modeling Specialisation<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 11:</strong> Making Budget &amp; Forecast<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 12:</strong> Anti-Money Laundering (AML) Training<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 13:</strong> Blockchain &amp; Cryptocurrency<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 14:</strong> Stock Market Day Trading Strategies<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 15:</strong> Risk Management<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 16:</strong> Career Development Plan Fundamentals<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 17:</strong> CV Writing and Job Searching<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 18:</strong> Learn to Level Up Your Leadership<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 19:</strong> Networking Skills for Personal Success<br fr-original-style="" style="box-sizing: border-box;"> &bull;&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 20:</strong> Ace Your Presentations: Public Speaking Masterclass</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Develop a comprehensive understanding of financial analysis, business finance, FinTech, investment strategies, statistics, economics, business and data analytics, corporate finance, budgeting, anti-money laundering, blockchain and cryptocurrency, stock market day trading strategies, and risk management.</li><li fr-original-style="" style="box-sizing: border-box;">Acquire the knowledge and intelligence needed to make informed financial decisions, assess risks, and maximise profitability.</li><li fr-original-style="" style="box-sizing: border-box;">Gain proficiency in statistical analysis, enabling you to extract meaningful insights from data and make data-driven decisions.</li><li fr-original-style="" style="box-sizing: border-box;">Understand the principles of economics and their impact on financial markets and decision-making processes.</li><li fr-original-style="" style="box-sizing: border-box;">Master the art of financial modelling, constructing accurate models to evaluate business performance and forecast future outcomes.</li><li fr-original-style="" style="box-sizing: border-box;">Explore essential topics such as anti-money laundering practices, blockchain and cryptocurrency, stock market day trading strategies, and risk management to broaden your understanding of the finance industry.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Embark on an enriching journey through financial engineering with our comprehensive bundle of 15 courses. Designed to provide a theoretical understanding of key financial concepts, this bundle covers a wide range of topics, including financial analysis, business finance, FinTech, investment strategies, statistics, economics, business and data analytics, corporate finance, budgeting, anti-money laundering, blockchain and cryptocurrency, stock market day trading strategies, and risk management.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Begin by diving into financial analysis, where you&#39;ll learn to interpret complex financial statements and evaluate investment opportunities. Gain a solid understanding of basic business finance, equipping yourself with the knowledge to manage finances effectively and make sound financial decisions. Enhance your financial intelligence and explore strategies to improve profitability in a financial downturn.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Stay ahead of the curve with our FinTech course, where you&#39;ll discover how technology is reshaping the finance industry. Explore the potential of digital banking, payment systems, and automated investment platforms. Develop the skills to navigate the ever-evolving landscape of FinTech and leverage technology to drive financial success.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Unlock the secrets of investment strategies and master the art of portfolio management. Learn to assess risks, evaluate asset profitability, and construct diversified portfolios that align with your financial goals. Enhance your analytical skills through our statistics and data analytics courses, enabling you to extract meaningful insights from financial data and make data-driven decisions.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Understand the principles of economics and their influence on financial markets and economic trends. Explore supply and demand, market equilibrium, and macroeconomic factors that shape the business landscape. Delve into business and financial modelling, where you&#39;ll gain the skills to construct accurate models for budgeting, forecasting, and evaluating investment prospects.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Gain insights into the binding domain of risk management, understanding how to identify, assess, and mitigate financial risks. Explore the transformative potential of blockchain and cryptocurrency, learning about their applications and impact on traditional financial systems. Lastly, delve into stock market day trading strategies, equipping yourself with techniques to navigate the fast-paced world of stock trading.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Enrol in our Financial Engineering bundle today and unlock the knowledge and insights that will set you apart in this competitive field. Position yourself for success and open doors to a wide range of career opportunities in the finance industry.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is Ideal for:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Aspiring financial professionals seeking to enhance their knowledge in financial engineering.</li><li fr-original-style="" style="box-sizing: border-box;">Business students or graduates are looking to gain a competitive edge in finance.</li><li fr-original-style="" style="box-sizing: border-box;">Finance professionals who want to expand their expertise and stay updated with the latest trends.</li><li fr-original-style="" style="box-sizing: border-box;">Entrepreneurs or individuals interested in understanding financial dynamics for their business ventures.</li><li fr-original-style="" style="box-sizing: border-box;">Anyone with a keen interest in finance and a desire to make informed financial decisions.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Requirements</div>
    </h2>

                        <div id="requirements" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our Financial Engineering course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The career paths you can pursue with this bundle and their salary ranges in the UK are:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Financial Engineer: &pound;50,000 - &pound;100,000</li><li fr-original-style="" style="box-sizing: border-box;">Quantitative Analyst: &pound;40,000 - &pound;80,000</li><li fr-original-style="" style="box-sizing: border-box;">Risk Analyst: &pound;30,000 - &pound;60,000</li><li fr-original-style="" style="box-sizing: border-box;">Portfolio Manager: &pound;40,000 - &pound;80,000</li><li fr-original-style="" style="box-sizing: border-box;">Investment Banker: &pound;60,000 - &pound;120,000</li><li fr-original-style="" style="box-sizing: border-box;">Financial Consultant: &pound;30,000 - &pound;60,000</li><li fr-original-style="" style="box-sizing: border-box;">Financial Planner: &pound;30,000 - &pound;60,000</li></ul>
                        </div>

Financial Modelling & Analysis

Financial Intelligence

Corporate Finance Level 1

Financial Engineering

Financial Literacy

Financial Engineering Diploma - 20 Courses Bundle

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

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

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

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

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

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

                        </div>

Apex Learning

Analytics Training - CPD Certified

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

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

			</div>

Studyhub UK

Online Course Marketing

Sports Coaching

Sports Science

Sports Marketing

Sports Management

Sports & Fitness

Sports Management: Navigating the Business of Sports

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

John Academy

Performance Management

Strategic Management

Conflict Management

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

Sports Management Leadership: Thriving in Sports Administration

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

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

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

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

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

                        </div>

Sports Management Online Training Course

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

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

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

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

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

                        </div>

Sports Industry Insights Course

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

Nexus Human

Data Engineering

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

DP-203T00 Data Engineering on Microsoft Azure

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

CompTIA Network+

IT Certifications

Data Skills

CompTIA A+

CompTIA Security+

CompTIA Data+

<div>
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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>
</div>
</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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</section>

EnergyEdge - Training for a Sustainable Energy Future

Renewable Energy

Oil & Gas

Data Analytics Workflows for Artificial Lift, Production and Facility Engineers

Team of 10, pp

Normal Fee, pp

<div>
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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>
<section>
<div id="accordion">
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<div>

Training Objectives 

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

Target Audience 

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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 

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

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

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