Name: Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma
Price: 150 GBP
Availability: InStock

<p><strong> Sale Ends Today </strong></p><p><strong> Software Engineering: Software Programming, Web Design &amp; Development Admission Gifts </strong></p><p><strong> FREE PDF &amp; Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter </strong></p><p>Software engineering has come a stage where it stands as the cornerstone of innovation and development of this era. You'll be amazed to know that the <strong>UK tech sector </strong>grew nearly <strong>6 times faster </strong>than the <strong>overall economy, </strong>all due to the advancement of this sector. So, the <strong>Software Engineering: Computer Programming, Web Design &amp; Development</strong> bundle is crafted to turn you into this versatile and sought-after software engineer, proficient in the latest technologies and coding languages from C# to Python, and beyond.</p><p>Start with foundational programming languages like <strong>C# </strong>and <strong>C++</strong>. Then you'll advance to complex frameworks and technologies such as <strong>Node.js</strong>, <strong>Three.js</strong>, and <strong>Python for Machine Learning</strong>. The courses include <strong>Web Development </strong>using <strong>HTML</strong>, <strong>CSS</strong>, <strong>PHP</strong>, and <strong>WordPress</strong>, to build and secure dynamic websites and applications. Each module is designed to build upon the last, ensuring a structured pathway from beginner to expert level.</p><p><strong>With this Software Engineering course, you will get 30 CPD Accredited PDF Certificates, Hard Copy Certificate of 1st Course and our exclusive student ID card absolutely free.</strong><strong><br /></strong></p><p><strong>Courses Are Included In This Software Engineering: Software Programming, Web Design &amp; Development Bundle: </strong></p><ul><li><strong> Course 01: </strong>C# Programming - Beginner to Advanced</li><li><strong> Course 02: </strong>C++ Development: The Complete Coding Guide</li><li><strong> Course 03: </strong>JavaScript Fundamentals</li><li><strong> Course 04: </strong>Refactor JavaScript</li><li><strong> Course 05: </strong>Node.JS: API Development with Swagger</li><li><strong> Course 06: </strong>Three.js &amp; WebGL 3D Programming</li><li><strong> Course 07: </strong>Python Programming Bible</li><li><strong> Course 08: </strong>Machine Learning with Python Course</li><li><strong> Course 09: </strong>Data Science and Visualisation with Machine Learning</li><li><strong> Course 10: </strong>Project on Deep Learning - Artificial Neural Network</li><li><strong> Course 11: </strong>Penetration Testing with OWASP ZAP</li><li><strong> Course 12: </strong>HTML Web Development Crash Course</li><li><strong> Course 13: </strong>CSS Web Development</li><li><strong> Course 14: </strong>Advanced Diploma in PHP Web Development with MySQL, GitHub &amp; Heroku</li><li><strong> Course 15: </strong>Advanced SAS Programming Using MacrosSQL</li><li><strong> Course 16: </strong>Diploma in User Experience UI/UX Design (Advanced)</li><li><strong> Course 17: </strong>Basics of WordPress: Create Unlimited Websites</li><li><strong> Course 18: </strong>Using WordPress for Affiliate Marketing</li><li><strong> Course 19: </strong>WordPress 5.0 for Beginners to Advanced</li><li><strong> Course 20: </strong>WordPress and SEO Online Course</li><li><strong> Course 21: </strong>How To Build Easy Drag &amp; Drop Landing Pages With WordPress</li><li><strong> Course 22: </strong>Make a WordPress WooCommerce Amazon Affiliate Store</li><li><strong> Course 23: </strong>WordPress Security Mastery</li><li><strong> Course 24: </strong>How To Build a WordPress Membership Site With Memberpress</li><li><strong> Course 25: </strong>Bootstrap - Responsive Web Design</li><li><strong> Course 26: </strong>Masterclass Bootstrap 5 Course - Responsive Web Design</li><li><strong> Course 27: </strong>ASP.Net MVC and Entity Framework</li><li><strong> Course 28: </strong>.NET Core API Development</li><li><strong> Course 29: </strong>How To Startup Your Own SaaS (Software As a Service) Company (SaaS Evolution)</li><li><strong> Course 30: </strong>Basic Jira and Confluence</li></ul><p>Don't just dream about creating the next big software innovation-make it a reality. Upgrade your skills with the <strong>Software Engineering: Computer Programming, Web Design &amp; Development</strong> course bundle and attempt to succeed in the fast-paced world of technology. Enrol today and start your journey towards becoming a pivotal player in the tech industry!</p><p><strong>Learning Outcomes of this Bundle:</strong></p><ul><li>Master programming fundamentals in C#, C++, JavaScript, and Python.</li><li>Develop comprehensive web applications using HTML, CSS, PHP, and WordPress.</li><li>Implement advanced web designs with Bootstrap for responsive layouts.</li><li>Utilise Python for machine learning and data visualisation projects.</li><li>Learn security practices and penetration testing with OWASP ZAP.</li><li>Design and deploy dynamic user interfaces with advanced UI/UX principles.</li></ul><p><strong>Why Prefer this Course?</strong></p><ul><li>Get a <strong>Free QLS Endorsed Certificate</strong> upon completion of the course</li><li>Get a <strong>Free Student ID Card</strong> with this training program (£10 postal charge will be applicable for international delivery)</li><li>The course is <strong>Affordable and Simple</strong> to understand</li><li>Get <strong>Lifetime Access</strong> to the course materials</li><li>The training program comes with <strong>24/7 Tutor Support</strong></li></ul> <p><strong>Start your learning journey straight away!</strong></p><p>The <strong>"Software Engineering: Computer Programming, Web Design &amp; Development"</strong> course bundle is especially designed to empower learners with the skills required to excel in the tech industry. By mastering <strong>programming fundamentals</strong> in diverse languages such as <strong>C#</strong>, <strong>C++</strong>, <strong>JavaScript</strong>, and <strong>Python</strong>, participants will gain a robust foundation in <strong>coding principles </strong>that are applicable across a variety of development environments. This foundational knowledge is crucial for <strong>troubleshooting </strong>and <strong>innovating </strong>within the rapidly evolving landscape of technology.</p><p>Beyond technical skills, the course also focuses on applying <strong>Python</strong> for <strong>Machine Learning</strong> and <strong>Data Visualisation </strong>projects, providing a competitive edge in fields like <strong>Data Science </strong>and <strong>Artificial Intelligence</strong>. Security practices and <strong>Penetration Testing </strong>with tools like <strong>OWASP ZAP</strong> further prepare learners to <strong>secure applications </strong>against <strong>potential threats</strong>. By completing this bundle, participants will not only enhance their coding and web development abilities but also acquire valuable skills in <strong>Security </strong>and <strong>UI/UX Design</strong>, making them well-rounded professionals ready for various challenges in the tech industry.</p><p>Moreover, this diploma offers learners the opportunity to acquire a <strong>Recognised Qualification </strong>that is highly valued in the field of <strong>Software Engineering</strong>. With this <strong>Certification</strong>, graduates are better positioned to pursue career advancement and higher responsibilities within the <strong>Software Engineering</strong> setting. The skills and knowledge gained from this course will enable learners to make meaningful contributions to <strong>Software Engineering</strong> related fields impacting their <strong>Software Engineering</strong> experiences and long-term development.</p><p><strong> Course Curriculum </strong></p><p><strong> Course 01: C# Programming - Beginner to Advanced</strong></p><ul><li>Module 01: Introduction</li><li>Module 02: Basics To Get Started</li><li>Module 03: Logic</li><li>Module 04: Methods (Basic)</li><li>Module 05: Classes (Basics)</li><li>Module 06: Variables (Basic)</li><li>Module 07: Error Handling</li><li>Module 08: Useful Methods</li><li>Module 09: Text (Advanced)</li><li>Module 10: Classes (Advanced)</li><li>Module 11: Binary (Advanced)</li><li>Module 12: Asynchronous (Advanced)</li><li>Module 13: Search In Objects (Linq)</li></ul><p><strong> Course 02: C++ Development: The Complete Coding Guide</strong></p><ul><li>Module 01: Introduction &amp; Setting Up</li><li>Module 02: Basics</li><li>Module 03: Operators</li><li>Module 04: String Streams</li><li>Module 05: Statements &amp; Loops</li><li>Module 06: Functions</li><li>Module 07: Advanced Data Types</li><li>Module 08: Classes</li><li>Module 09: Errors</li><li>Module 10: The Mighty Preprocessor</li><li>Module 11: File I/O</li><li>Module 12: Extras</li></ul><p><strong> Course 03: JavaScript Fundamentals</strong></p><ul><li>Module 01: Introduction</li><li>Module 02: Reasons of Employee Resignation</li><li>Module 03: What is JavaScript?</li><li>Module 04: Running JS Code</li><li>Module 05: Variables</li><li>Module 06: What is Talent Management</li><li>Module 07: Talent Management &amp;#8211; The Pillar of Successful Business</li><li>Module 08: Comparison Operators</li><li>Module 09: Responsibilities of Talent Management Manager &amp;#038; Professionals</li><li>Module 10: Function</li><li>Module 11: Object</li><li>Module 12: Methods</li><li>Module 13: While Loops</li><li>Module 14: Little Activity Before We Begin</li><li>Module 15: For Loops</li><li>Module 16: Arrays</li><li>Module 17: Welcome to the Course</li><li>Module 18: Multidimensional Arrays</li><li>Module 19: Introduction to the DOM API</li><li>Module 20: Conclusion</li></ul><p><strong>=========&gt;&gt;&gt;&gt;&gt; And 27 More Courses &lt;&lt;&lt;&lt;&lt;=========</strong></p><p><strong>How will I get my Certificate?</strong></p><p>After successfully completing the course, you will be able to order your Certificates as proof of your achievement.</p><ul><li><strong>PDF Certificate:</strong> Free (Previously it was £12.99*30 = £390)</li><li><strong>CPD Hard Copy Certificate: </strong>Free (For The First Course: Previously it was £29.99)</li></ul> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for:</p><ul><li>Aspiring software developers.</li><li>Current IT professionals.</li><li>Web developers.</li><li>System engineers.</li><li>Tech enthusiasts.</li><li>Career changers.</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

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

                        <div id="career_path">
                            <p>After completing this bundle, you are to start your career or begin the next phase of your career.</p><ul><li>Software Developer: $50,000 - $120,000</li><li>Web Developer: $40,000 - $85,000</li><li>Front-End Developer: $50,000 - $110,000</li><li>Python Developer: $60,000 - $120,000</li><li>UI/UX Designer: $55,000 - $100,000</li><li>Systems Engineer: $60,000 - $130,000</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited  Hard copy certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>If you are an international student, you will be required to pay an additional fee of <strong>10 GBP</strong> for international delivery, and <strong>4.99 GBP</strong> for delivery within the UK, for each certificate</p></div>
        <h4>CPD Accredited Digital Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><ul><li><strong>CPD Accredited e-Certificate - Free</strong></li><li><strong>Enrolment Letter - Free</strong></li><li><strong>Student ID Card - Free</strong></li></ul></div>

                        </div>

Academy for Health and Fitness

Online Course Marketing

Online Course Creation

Computing & Software Development Tools

Web Development

Software Engineering

Software Development

Software Engineering:  Software Programming, Web Design & Development

General Admission

<p><strong>Level 3 Data Entry, Data Analytics, Document Control &amp; Virtual Assistant Diploma</strong></p><p><br />Learn everything there is to discover an array of limitless opportunities in our Data Entry, Data Analytics, Document Control &amp; Virtual Assistant Diploma Course. Explore the complexities of handling, evaluating, and managing data as you set out to become a professional.</p><p><strong>4-in-1 Bundle Includes: </strong></p><ul><li><strong>Course 01: </strong>Data Entry</li><li><strong>Course 02: </strong>Data Analytics</li><li><strong>Course 03: </strong>Document Control</li><li><strong>Course 04: </strong>Virtual Assistant</li></ul><p>Become proficient in doing Data Entry in Microsoft Word and in Microsoft Excel, understand Advanced Data Entry Techniques which will help with your Data Entry Career and Portfolio.</p><p>Go through the statistics of data analytics, learning the storing and gathering of data along with the tools to do so. Learn document control strategies next to document control lifecycle and the management as well.</p><p>Gain an understanding of the role and responsibilities along with the knowledge and skills required to become a Virtual Assistant. These 4 courses are your perfect gateway to your ultimate success in the field of Data Entry Administrator, a Virtual Assistant, Document Control Analyst or a Data Analytics Manager.</p><p>So don't miss out on this opportunity to upskill your career to the next level and in doing so without making a dent in your wallet as you will save up to 90% off.</p><p><strong>Key Features</strong></p><ul><li>Instant e-certificate</li><li>Fully online, interactive course with audio voiceover</li><li>Developed by qualified professionals in the field</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>Course Curriculum</strong></p><p><strong>Efficient Data Entry</strong></p><ul><li>Module 01: Introduction to Data Entry and Essential Tools</li><li>Module 02: Data Entry in Microsoft Word</li><li>Module 03: Data Entry in Microsoft Excel</li><li>Module 04: Advanced Data Entry Techniques and Tools</li><li>Module 05: Data Entry Best Practices and Accuracy</li><li>Module 06: Building Your Data Entry Career and Portfolio</li></ul><p><strong>Data Analytics</strong></p><ul><li>Module 01: Introduction to the World of Data</li><li>Module 02: Basics of Data Analytics</li><li>Module 03: Statistics for Data Analytics</li><li>Module 04: Actions Taken in the Data Analysis Process</li><li>Module 05: Gathering the Right Information</li><li>Module 06: Storing Data</li><li>Module 07: Data Mining</li><li>Module 08: Excel for Data Analytics</li><li>Module 09: Tools for Data Analytics</li><li>Module 10: Data-Analytic Thinking</li><li>Module 11: Data Visualisation That Clearly Describes Insights</li><li>Module 12: Data Visualisation Tools</li></ul><p><strong>Document Control</strong></p><ul><li>Module 01: Introduction to Document Control</li><li>Module 02: Principles of Document Control and Elements of Document Control Environment</li><li>Module 03: Document Control Lifecycle</li><li>Module 04: Document Control Strategies and Instruments</li><li>Module 05: Document Management</li><li>Module 06: Quality Assurance and Controlling Quality of Documents</li><li>Module 07: Project Document Control</li><li>Module 08: Electronic Document Management Systems and Soft Copy Documentation</li></ul><p><strong>Virtual Assistant</strong></p><ul><li>Module 01: Introduction to Virtual Assistant</li><li>Module 02: Different Types of Virtual Assistants</li><li>Module 03: Be a Virtual Assistant</li><li>Module 04: Must-Have Skills for Virtual Assistants</li><li>Module 05: Essential Tools for a Virtual Assistant</li><li>Module 06: Finding Your Niche</li><li>Module 07: Get Hired for VA Jobs</li><li>Module 08: How to Set VA Business</li><li>Module 09: Admin Support- a Vital Part of VA</li><li>Module 10: How to Manage Clients</li><li>Module 11: Working with a Virtual Team</li><li>Module 12: Data Security Measures</li></ul><p><strong>Accreditation</strong></p><p>These courses are fully CPD QS 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 course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99).</p><p><strong>Assessment</strong></p><p>At the end of the course, there will be an online assessment, which you will need to pass to complete the course.</p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        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">
                            <p>Anyone looking to improve their Data Entry, Document Control &amp; Virtual Assistant skills.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Virtual Assistant</li><li>Admin, secretarial &amp; PA</li><li>Document Control Analyst</li><li>Data Analytics Manager</li><li>Python &amp; Data Scientist</li><li>Data Analyst</li><li>Data Entry Clerk</li><li>Data Entry Operator</li><li>Data Entry Specialist</li><li>Data Entry Administrator</li><li>Data Entry Analyst</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Training Express

Level 3 Data Entry, Data Analytics, Document Control & Virtual Assistant Diploma Course

<p>As the world drowns in data, the cry for a competent Business Intelligence Analyst rises above the cacophony. The 'Database Management for Business Intelligence Analysts' course homes the capabilities of those who are ready to plunge into the sea of data, extract valuable insights, and turn the tides in their organisation's favour.</p><p><strong>Learning Outcomes:</strong></p><ul><li>Gain a comprehensive understanding of business intelligence, its concepts, and real-time applications.</li><li>Develop a strong foundational knowledge of statistics and data science essential for a Business Intelligence Analyst.</li><li>Master the fundamentals of SQL and grasp the essentials of effective database management.</li><li>Understand data warehouse concepts and their significance in the field of business intelligence.</li><li>Learn how to leverage data visualisation in business intelligence to effectively communicate data-driven insights.</li><li>Acquire a basic understanding of Python, a versatile language used in many aspects of data analysis.</li></ul><p>In the era of information, every business decision hinges on the ability to access, interpret, and apply data. The Business Intelligence Analyst stands at this crucial juncture, bridging the gap between raw data and meaningful action. This course, 'Database Management for Business Intelligence Analysts', has been meticulously designed to equip you with a comprehensive understanding of business intelligence, its real-time applications, and essential statistical knowledge.</p><p>The journey continues with an exploration of SQL, a cornerstone of data management. It also delves into the world of data warehousing, a critical tool in the arsenal of every Business Intelligence Analyst. Additionally, the course shines a light on data visualisation, a powerful tool for translating complex data into accessible insights. Finally, the inclusion of Python basics ensures a well-rounded training for the aspiring Business Intelligence Analyst, ready to make a mark in the data-driven world.</p><p><strong>Certification</strong></p><p>Upon successful completion of the course, all learners will be eligible to receive a certificate titled Business Intelligence Analyst Course to acknowledge their achievement. We are delighted to offer two formats for your certificate: PDF and Hardcopy.</p><p><strong>PDF Certificate</strong>: This digital version of your certificate will be available for you to download and print for totally <strong>FREE</strong>.</p><p><strong>Hard Copy Certificate</strong>: 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.</p><p>UK Delivery: If your shipping address is within the United Kingdom, the delivery fee will be only <strong>£3.99.</strong></p><p><strong>International Delivery</strong>: For all international addresses outside of the United Kingdom, the delivery fee will be only <strong>£10</strong>.</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>Aspiring analysts seeking to become proficient Business Intelligence Analysts.</li><li>Data professionals want to expand their skill set to include business intelligence.</li><li>Business managers interested in leveraging data for strategic decision-making.</li><li>IT professionals wishing to transition into a role as a Intelligence Analyst.</li><li>Students studying computer science, data science, or related fields, aiming for a career in business intelligence.</li><li>Individuals with a keen interest in data and its application.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Business Intelligence Analyst: (£30,000 - £50,000)</li><li>Data Analyst: (£25,000 - £45,000)</li><li>Data Scientist: (£35,000 - £70,000)</li><li>Business Intelligence Consultant: (£40,000 - £60,000)</li><li>Data Warehouse Architect: (£45,000 - £70,000)</li><li>Business Intelligence Project Manager: (£45,000 - £75,000)</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4> Hard copy 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>
        <h4>Digital certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Database Management for Business Intelligence Analysts Course

<h2 style="color: rgb(97, 32, 103); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(97, 32, 103);">Course description</h2><p style="color: rgb(33, 33, 33); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(33, 33, 33);">This course is designed to help UX professionals, researchers, and anyone looking to expand their research toolkit with a solid foundation in quantitative research. Focusing on practical skills and hands-on experience, the course covers the most commonly used quantitative research methodologies in UX. You will leave with the knowledge and confidence to undertake your own research projects, and you will gain a strong foundation in quantitative research methods &ndash; enabling you to make data-driven decisions and enhance your UX strategy.</p><blockquote style="color: rgb(33, 33, 33); border-left: 2px solid rgb(94, 53, 177); margin-left: 0px; padding-left: 5px; box-sizing: border-box;" fr-original-style=" color: rgb(33, 33, 33);"><p style="color: rgb(33, 33, 33) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(33, 33, 33) !important;"><em fr-original-style="" style="box-sizing: border-box;">&ldquo;I was impressed by how well the course was designed, pitched and presented. I learned so much and applied some of that learning the same day &ndash; immediate impact!&rdquo;</em></p><cite style="color: rgb(33, 33, 33); box-sizing: border-box;" fr-original-style=" color: rgb(33, 33, 33);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Katherine Tyte</strong><br fr-original-style="" style="box-sizing: border-box;">NHS England</cite></blockquote><figure style="color: rgb(33, 33, 33); box-sizing: border-box;" fr-original-style=" color: rgb(33, 33, 33);"><img alt="" data-src="https://www.bunnyfoot.com/wp-content/plugins/bunnyfoot-wp-helper/inc/images/training-beneath-description.png" src="https://www.bunnyfoot.com/wp-content/plugins/bunnyfoot-wp-helper/inc/images/training-beneath-description.png" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></figure><h2 style="color: rgb(97, 32, 103); box-sizing: border-box;" fr-original-style=" color: rgb(97, 32, 103);">Is it for you?</h2><p style="color: rgb(33, 33, 33); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(33, 33, 33);">If you&rsquo;re a UX professional, researcher, designer, or simply someone who is keen to learn more about quantitative research methods in user experience, this course is tailored to suit your needs. Whether you&rsquo;re looking to expand your research toolkit or seeking to enhance your understanding of data-driven decision-making in UX projects, this course provides the essential knowledge and hands-on experience you need. The focus on practical skills and real-world applications provides relevant and useful instruction for all attendees seeking to develop quantitative research skills.</p><p style="color: rgb(33, 33, 33); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(33, 33, 33);">This course aims to provide a high-level overview and a strong foundation in quantitative research methods, and serves as an excellent starting point for those looking to build their knowledge and confidence in data-driven UX research. By attending this course, you&rsquo;ll gain valuable insights into the world of quantitative research and take the first steps towards enhancing your UX research projects through data-driven insights and methodologies.</p><figure style="color: rgb(33, 33, 33); box-sizing: border-box;" fr-original-style=" color: rgb(33, 33, 33);"><img alt="" data-src="https://www.bunnyfoot.com/wp-content/plugins/bunnyfoot-wp-helper/inc/images/training-beneath-all.png" src="https://www.bunnyfoot.com/wp-content/plugins/bunnyfoot-wp-helper/inc/images/training-beneath-all.png" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></figure><h2 style="color: rgb(97, 32, 103); box-sizing: border-box;" fr-original-style=" color: rgb(97, 32, 103);">What you will learn</h2><ul style="color: rgb(33, 33, 33); box-sizing: border-box;" fr-original-style=" color: rgb(33, 33, 33);"><li fr-original-style="" style="box-sizing: border-box;">Quantitative vs qualitative research and their applications in UX</li><li fr-original-style="" style="box-sizing: border-box;">Selecting appropriate quantitative research methods</li><li fr-original-style="" style="box-sizing: border-box;">Writing effective survey questions and analysing results</li><li fr-original-style="" style="box-sizing: border-box;">Unmoderated usability testing techniques and interpretation</li><li fr-original-style="" style="box-sizing: border-box;">Data visualisation and reporting best practices</li></ul><figure style="color: rgb(33, 33, 33); box-sizing: border-box;" fr-original-style=" color: rgb(33, 33, 33);"><img alt="" data-src="https://www.bunnyfoot.com/wp-content/plugins/bunnyfoot-wp-helper/inc/images/training-beneath-all.png" src="https://www.bunnyfoot.com/wp-content/plugins/bunnyfoot-wp-helper/inc/images/training-beneath-all.png" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></figure><h2 style="color: rgb(97, 32, 103); box-sizing: border-box;" fr-original-style=" color: rgb(97, 32, 103);">Learning objectives</h2><p style="color: rgb(33, 33, 33); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(33, 33, 33);">After completing the training, you will be able to:</p><ul style="color: rgb(33, 33, 33); box-sizing: border-box;" fr-original-style=" color: rgb(33, 33, 33);"><li fr-original-style="" style="box-sizing: border-box;">Understand the key differences between quantitative and qualitative research methods in UX</li><li fr-original-style="" style="box-sizing: border-box;">Identify and apply appropriate quantitative research methods</li><li fr-original-style="" style="box-sizing: border-box;">Write effective survey questions and analyse survey results</li><li fr-original-style="" style="box-sizing: border-box;">Conduct and interpret unmoderated usability testing to enhance your UX projects</li><li fr-original-style="" style="box-sizing: border-box;">Effectively visualise and present data to communicate findings to stakeholders</li><li fr-original-style="" style="box-sizing: border-box;">Confidently plan and execute quantitative research projects to inform data-driven decision-making</li></ul><h2 style="color: rgb(97, 32, 103); box-sizing: border-box;" fr-original-style=" color: rgb(97, 32, 103);">Necessary for remote learning</h2><ul style="color: rgb(33, 33, 33); box-sizing: border-box;" fr-original-style=" color: rgb(33, 33, 33);"><li fr-original-style="" style="box-sizing: border-box;">Access to Zoom</li><li fr-original-style="" style="box-sizing: border-box;">Access to Miro</li></ul><p style="color: rgb(33, 33, 33); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(33, 33, 33);"></p><figure style="color: rgb(33, 33, 33); box-sizing: border-box;" fr-original-style=" color: rgb(33, 33, 33);"><img alt="" data-src="https://www.bunnyfoot.com/wp-content/plugins/bunnyfoot-wp-helper/inc/images/training-beneath-all.png" src="https://www.bunnyfoot.com/wp-content/plugins/bunnyfoot-wp-helper/inc/images/training-beneath-all.png" fr-original-style="" style="cursor: pointer; padding: 0px 1px; user-select: none; max-width: 100%; position: relative; box-sizing: border-box;" fr-original-class="fr-draggable"></figure>

Bunnyfoot

Quantitative Methods

UI / UX Design

Ux Research

This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design. 

Quantitative User Research Methods

<div>
	<h3><b>Course Overview</b></h3>
<p><span>canva is one of the most popular and effective tools for graphic designers for fast designing. If you want to use your graphic designing for marketing or put your idea online then the large library of canva can help you choose any template and edit it as you wish. Learn the effective techniques of canva to create beautiful and eye-catching graphics from this </span><b>Graphic Elements of Design: Color Theory and Application</b><span> course and promote your ideas effectively.</span></p>
<p><span>This </span><b>Graphic Elements of Design: Color Theory and Application</b><span> course will help you to apply different colour theories and fundamentals in your project. You will learn how to use graphic theories and colours for data visualisation. You will be able to use professional colour palettes, proximity, typography and many other graphic components to beautify your design.</span></p>
<p><span>This course will help you learn graphic designing techniques from scratch. It is a very effective course for aspiring graphic designers and marketers who wants to learn Canva techniques.</span></p>
<h3><b>Learning Outcomes</b></h3>
<ul>
<li><span>Familiarize with the fundamentals and theories of graphic designing </span></li>
<li><span>Understand colour interaction and colour harmony in designing </span></li>
<li><span>Be able to create different types of colour combinations and apply them to your design </span></li>
<li><span>Learn how to create a professional colour palette </span></li>
<li><span>Gain the skill to work with colour, images and typography </span></li>
<li><span>Learn how colour basics work for branding </span></li>
<li><span>Learn the cultural connection of colours</span></li>
</ul>
<h3><b>Who is this course for?</b></h3>
<p><span>This course is perfect for anyone who wants to learn graphic designing or strengthen their basics of designing. You will learn the basic theories and elements of graphic designing and their application from this curse.</span></p>
<h3><b>Entry Requirement</b></h3>
<ul>
<li><span>This course is available to all learners, of all academic backgrounds.</span></li>
<li><span>Learners should be aged 16 or over to undertake the qualification.</span></li>
<li><span>Good understanding of English language, numeracy and ICT are required to attend this course.</span></li>
</ul>
<h3><b>Certification</b></h3>
<ul>
<li><span>After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24.</span></li>
<li><span>PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days.</span></li>
</ul>
<h3><b>Why choose us?</b></h3>
<ul>
<li><span>Affordable, engaging &amp; high-quality e-learning study materials;</span></li>
<li><span>Tutorial videos/materials from the industry-leading experts;</span></li>
<li><span>Study in a user-friendly, advanced online learning platform;</span></li>
<li><span>Efficient exam systems for the assessment and instant result;</span></li>
<li><span>The UK &amp; internationally recognized accredited qualification;</span></li>
<li><span>Access to course content on mobile, tablet or desktop from anywhere anytime;</span></li>
<li><span>The benefit of career advancement opportunities;</span></li>
<li><span>24/7 student support via email.</span></li>
</ul>
<h3><b>Career Path</b></h3>
<p><span>Graphic Elements of Design: Color Theory and Application </span><span>is a useful qualification to possess and would be beneficial for any related profession or industry such as:</span></p>
<ul>
<li><span>Graphic Designers </span></li>
<li><span>Illustrators </span></li>
<li><span>Digital Artists </span></li>
<li><span>Artists </span></li>
<li><span>Social Media Marketers </span></li>
<li><span>Logo Designers </span></li>
<li><span>Banner Designers</span></li>
</ul>
		</div><table width="100%">				<tbody><tr>
					<td colspan="4"> Introduction</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 01: Colour Theory- Basic Terms</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 02: Use Values to Establish Hierarchy in Photoshop CC</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 03: Class Exercise: Value</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 04: Colour Fundamentals: Colour Wheel</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 05: Colour Combinations</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td colspan="4">How to Work with Colours in Adobe Illustrator CC 2020</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 06: Colour Modes in Adobe Illustrator CC</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 07: Working with Existing Colours</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 08: Customising Colours</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 09: Save Colour Swatches</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 10: Global Colours</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 11: Duplicate Global Colours</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 12: Adobe Colour Themes</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 13: Colour Guides</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 14: Recolour Artwork</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 15: Colouring the Line Art</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 16: Save as Template</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Colour Systems</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 17: CMYK Colour System</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 18: RGB Colour System</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 19: Pantone Colour System</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Different Techniques to Develop Successful Colour Palettes</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 20: Colour Technique- The Subordinate, Dominant and Accent Technique</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 21: Colour Technique- Meaning Based Technique for Harmonising Colours</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 22: Colour Technique- Meaning Based Colour Technique Exercise</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 23: Colour Technique- One Colour Palette Technique</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 24: Colour Technique- Two Colour Palette Technique</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 25: Colour Technique- Progressive Colour Technique</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 26: Colour Technique-Repetition or Reoccurrence or Gradient Technique</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 27: Colour Progression and Repetition Exercise</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 28: Colour Technique- Black and White Technique</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 29: Colour as Provocateur</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 30: Excessive Colour Solutions</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 31: Colour Overlap Technique</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Colour Interaction and Proximity</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 32: Introduction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 33: Colour Interaction</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 34: Different Colour Types</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 35: Class Exercise: Colour Interaction</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 36: How Light Affect Your Colours</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 37: Interaction and Proximity</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 38: Colour Proximity Exercise</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 39: How to Make that Geometric Grid Design to Practice Your Colour</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Colour and Imagery</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 40:Colour in Images, Illustrations and Type</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 41:Colour and Imagery</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 42:Best Royalty-free Images Websites</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 43: Apply Colour to Your Images in Photoshop CC</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 44: Images as Element of the Composition</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 45: Proofing Colours</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 46: Save for Printing</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 47: Class Project- Colour and Texture</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Colours and Illustration</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 48: Colour and Illustration</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 49: Best Resources to Get Customisable Illustration</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Colour and Type</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 50: How to Use Colours and Type</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 51: Colour and Hierarchy</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 52: Display text</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 53: Specific Fonts</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 54: Body Text and Colour</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 55: Apply Effects to Display Text in Adobe Illustrator</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 56: Best Fonts Resources Websites</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 57: Class Project- Magazine Mock-up</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Colours in Data Visualisation</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 58: Introduction to Colours in Data Visualisation</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 59: Colours in Data Visualisation</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 60: Different Ways to Import Charts</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 61: The Process of Decluttering</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Colours in Brand Identity Basics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 62: Introduction to Colours in Branding</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 63: Colours in Brand Identity- Part 1</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 64: Colours in Brand Identity- Part 2</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Module 65: Class Project- Logo</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Certificate and Transcript</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Order Your Certificates and Transcripts</td>
					<td> </td>
					<td><span><i></i> 00:00:00</span></td>
				</tr>
				</tbody></table>

John Academy

Color Theory

Graphic Design

Creative Design

Graphic Designer

Canva

Visual Design

Graphic Elements of Design: Color Theory and Application

<p>According to recent studies, the demand for data analysis and data science professionals is on the rise, with the industry expected to grow by almost 30% in the next decade. In today's digital world, having the skills to analyse and interpret data has never been more crucial, and it's never too late to start learning. In the UK alone, there are over 100,000 job openings in data analysis and data science, with salaries ranging from £40,000 to £100,000 per year.</p><p>This is why we are proud to introduce the Data Analysis, Data Analytics with Tableau &amp; Data Science &amp; Machine Learning with R bundle, the ultimate learning experience for anyone looking to boost their skills in this field. This bundle is a testament to the high quality of education that can be achieved through QLS-endorsed courses. With three such courses included in this bundle, learners are sure to receive a top-notch education that is both informative and engaging.</p><p>Investing in your education is always a wise choice, and with 3 QLS Endorsed certificates to your name, you can be sure that you're double boosting your resume. Apart from the QLS courses, the learners will get access to 10 CPD courses that are in line with the subject matter. These will enhance your overall understanding as well as broaden your knowledge.</p><p>Whether you're a beginner or have some experience in the field, this bundle has something for everyone. So why wait? Start your journey to a successful career in data analysis and data science today!</p><p><strong>QLS Endorsed Courses:</strong></p><ul><li><strong>Course 01:</strong> Diploma in Data Analysis Fundamentals at QLS Level 5</li><li><strong>Course 02:</strong> Advanced Diploma in Data Analytics with Tableau at QLS Level 6</li><li><strong>Course 03:</strong> Advanced Diploma in Data Science &amp; Machine Learning with R at QLS Level 7</li></ul><p><strong>CPD QS Accredited Courses:</strong></p><ul><li><strong>Course 04: </strong>Microsoft Excel - Beginner, Intermediate &amp; Advanced</li><li><strong>Course 05:</strong> Conditional Formatting in Excel</li><li><strong>Course 06:</strong> Excel Lesson for Beginners: Create Pivot Table</li><li><strong>Course 07:</strong> Data Center Training Essentials: General Introduction</li><li><strong>Course 08:</strong> Google Data Studio: Data Analytics</li></ul><p>Take your career to the next level with our bundle that includes not only technical courses but also <strong>five guided courses</strong> focused on personal development and <strong> career growth.</strong></p><ul><li><strong>Course 09: </strong>Leadership and Management Course</li><li><strong>Course 10:</strong> Career Development and Passion</li><li><strong>Course 11: </strong>Professional CV Writing</li><li><strong>Course 12: </strong>Boost Your Confidence and Self-Esteem</li><li><strong>Course 13: </strong>Public Speaking: Confident Delivery Skills</li></ul><p><strong>learning outcomes </strong></p><ul><li>Understanding of basic data analysis techniques and tools</li><li>Knowledge of data visualisation and reporting using Tableau</li><li>Ability to perform data analysis using R programming language</li><li>Understanding of data science and machine learning algorithms</li><li>Ability to create predictive models and interpret results</li></ul><p><strong>Basic Data Analysis</strong>: This course provides an introduction to data analysis techniques and tools. You'll learn how to collect, clean, and analyse data, as well as how to interpret results and create meaningful visualisations.</p><p><strong>Introduction to Data Analytics with Tableau:</strong> In this course, you'll learn how to use Tableau to analyse and visualise data. You'll learn how to connect to data sources, create reports, and publish interactive dashboards.</p><p><strong>2021 Data Science &amp; Machine Learning with R from A-Z: </strong>This comprehensive course covers data science and machine learning using R programming language. You'll learn how to perform data analysis, create predictive models, and interpret results.</p><p><strong>Certification</strong></p><p>Learners will qualify for the <strong>highly sought-after QLS Endorsed Certificate</strong> after successfully passing the assessment at the conclusion of each endorsed course.</p><p><strong>The Quality Licence Scheme</strong> is a credible and renowned endorsement that marks <strong>high quality</strong><strong>and excellence</strong> in the UK. It is well accepted and sought after by industry experts and recruiters.</p><p>Learners who purchase this bundle will receive <strong>Three Hardcopy QLS Certificates at their door!</strong></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">
                            <ul><li>Business professionals and managers who want to improve their data analysis skills</li><li>Marketing and sales professionals who want to gain a deeper understanding of customer behaviour and preferences</li><li>IT professionals who want to specialise in data analysis and machine learning</li><li>Data analysts and data scientists who want to expand their skill set</li><li>Anyone who is interested in learning about data analysis, data science, and machine learning.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: £40,000 to £70,000</li><li>Data Scientist: £50,000 to £100,000</li><li>Business Intelligence Analyst: £45,000 to £80,000</li><li>Data Engineer: £55,000 to £100,000</li><li>Data and Analytics Manager: £70,000 to £120,000</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

One Education

Data Analysis,  Data Analytics with Tableau & Data Science & Machine Learning with R Course

<p>In today's data-driven world, the ability to analyse and visualise data has become a highly valued skill. If you're interested in pursuing a career in data analytics, then our QLS Endorsed Data Analytics with Tableau at QLS Level 7 &amp; 6 bundle is the perfect place to start.</p><p>With 2 QLS-endorsed courses and 5 CPD QS-accredited courses, this bundle offers a comprehensive and rigorous curriculum designed to equip you with the skills and knowledge needed to succeed in the world of data analytics. The QLS-endorsed courses in Data Analytics and Introduction to Data Analytics with Tableau are designed to provide you with a strong foundation in data analysis and visualization using the powerful Tableau software. You'll learn how to collect, clean, and analyze data, as well as how to create compelling visualizations that communicate complex data insights to others. And with hardcopy certificates provided upon completion, you can showcase your achievements to potential employers.</p><p>In addition to these two courses, the bundle also includes five relevant CPD QS accredited courses, covering topics such as big data analytics, SQL, and data analysis in Excel. These courses will further enhance your skills and knowledge in the field, giving you a competitive edge in the job market.</p><p>Whether you're looking to start a career in data analytics or looking to upgrade your skills in the field, this bundle is designed to meet your needs. Enrol today and take the first step towards a rewarding career in data analytics.</p><p><strong>Learning Outcomes:</strong></p><ul><li>Develop expertise in data analytics and learn to use industry-standard tools such as Tableau and Power BI.</li><li>Learn to clean, transform, and analyse large datasets using Python and PySpark.</li><li>Understand how to work with databases and visualise data using SQL and Tableau.</li><li>Develop skills in data visualisation and reporting to communicate insights effectively.</li><li>Understand how to use statistical techniques and models for data analysis and decision-making.</li><li>Learn how to work with unstructured data and data from different sources.</li><li>Develop critical thinking and problem-solving skills for data-driven decision-making.</li></ul><p><strong>QLS Endorsed Courses: </strong></p><ul><li><strong>Course 01:</strong>Advanced Diploma in Data Analytics at QLS Level 7</li><li><strong>Course 02:</strong>Advanced Diploma in Data Analytics with Tableau at QLS Level 6</li></ul><p><strong>CPD QS Accredited Courses:</strong></p><ul><li><strong>Course 03: </strong>Big Data Analytics with PySpark Power BI and MongoDB</li><li><strong>Course 04: </strong>Big Data Analytics with PySpark Tableau Desktop and MongoDB</li><li><strong>Course 05:</strong> SQL for Data Science, Data Analytics and Data Visualization</li><li><strong>Course 06: </strong>Basic Data Analysis</li><li><strong>Course 07: </strong>Data Analysis In Excel</li></ul><p>The QLS Endorsed Data Analytics with Tableau at QLS Level 7 &amp; 6 bundle is designed to provide you with the skills and knowledge needed to become a data analyst. This comprehensive bundle includes 2 QLS-endorsed courses, Data Analytics and Introduction to Data Analytics with Tableau, as well as 5 relevant CPD QS accredited courses. With these courses, you will learn to work with large datasets, use Python and PySpark for data cleaning and transformation, and create compelling visualisations with Tableau and Power BI. You will also learn to work with databases, use statistical techniques for data analysis, and develop critical thinking skills for data-driven decision-making.</p><p><strong>Certification</strong></p><p>Learners will qualify for the <strong>highly sought-after QLS Endorsed Certificate</strong> after successfully passing the assessment at the conclusion of each endorsed course.</p><p><strong>The Quality Licence Scheme</strong> is a credible and renowned endorsement that marks <strong>high quality and excellence</strong> in the UK. It is well accepted and sought after by industry experts and recruiters.</p><p>Learners who purchase this bundle will receive <strong>TWO Hardcopy QLS Certificates at their door!</strong></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">
                            <ul><li>Professionals who want to develop skills in data analytics and visualisation to advance their careers.</li><li>Individuals who want to start a career in data analysis or business intelligence.</li><li>Students who want to learn the latest tools and techniques for data analytics and visualisation.</li><li>Business owners who want to make data-driven decisions and gain insights into their business operations.</li></ul>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Here are the potential career paths for individuals who complete the QLS Endorsed Data Analytics with Tableau at QLS Level 7 &amp; 6 bundle, along with their corresponding average salaries in the UK:</p><ul><li>Data Analyst - £32,500 - £45,000 per year</li><li>Business Intelligence Analyst - £35,000 - £55,000 per year</li><li>Data Scientist - £40,000 - £70,000 per year</li><li>Business Analyst - £30,000 - £50,000 per year</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Data Analytics with Tableau at QLS Level 6 & 7 Course

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Enroll today and master the skills needed to analyse financial statements, evaluate company performance, and make informed business decisions.</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;"></p><div data-node-type="column" style="color: rgb(14, 11, 22); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(14, 11, 22);"><div data-element-id="columnsType6" data-node-type="columnWrapper" fr-original-style="" style="box-sizing: border-box;"><div data-node-type="column" fr-original-style="" style="box-sizing: border-box;"><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><div data-element-id="heading2Large" data-node-type="text" fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">2&nbsp;</strong>Hours of Video Content</div></div></div></div><div data-node-type="column" style="color: rgb(14, 11, 22); box-sizing: border-box;" fr-original-style=" color: rgb(14, 11, 22);"><div data-element-id="columnsType6" data-node-type="columnWrapper" fr-original-style="" style="box-sizing: border-box;"><div data-node-type="column" fr-original-style="" style="box-sizing: border-box;"><div data-element-id="heading2Large" data-node-type="text" fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">20&nbsp;</strong>Interactive &nbsp;Exercises</div></div></div></div><div data-node-type="column" style="color: rgb(14, 11, 22); box-sizing: border-box;" fr-original-style=" color: rgb(14, 11, 22);"><div data-element-id="columnsType6" data-node-type="columnWrapper" fr-original-style="" style="box-sizing: border-box;"><div data-node-type="column" fr-original-style="" style="box-sizing: border-box;"><div data-element-id="heading2Large" data-node-type="text" fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">1&nbsp;</strong>Recognised Certificate</div></div></div></div><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(14, 11, 22); box-sizing: border-box;" fr-original-style="color: rgb(14, 11, 22);"><br fr-original-style="" style="box-sizing: border-box;"></span></p><hr fr-original-style="" style="border-color: var(--border-muted); border-style: solid; clear: both; break-after: page; user-select: none; box-sizing: border-box;"><div data-element-id="columnsType5" data-node-type="columnWrapper" style="color: rgb(14, 11, 22); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(14, 11, 22);"><div data-node-type="column" style="color: rgb(14, 11, 22); box-sizing: border-box;" fr-original-style=" color: rgb(14, 11, 22);"><h2 data-element-id="heading3Large" data-node-type="text" 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;"><span style="color: rgb(14, 11, 22); box-sizing: border-box;" fr-original-style=" color: rgb(14, 11, 22);">Course&nbsp;</span><span style="color: rgb(14, 11, 22); box-sizing: border-box;" fr-original-style=" color: rgb(14, 11, 22);">Overview</span></p></h2><div data-element-id="textNormal" data-node-type="text" 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 comprehensive PowerPoint course workshop teaches financial analysts the key skills required for impactful data visualisation and presentation design. Mastering PowerPoint is critical to clearly communicate complex analysis to both internal and external stakeholders. Through practical, hands-on training and real-world business examples, this course will equip you to efficiently build sleek, professional slide decks that engage audiences. The self-paced online format allows busy finance professionals to become presentation experts on their own schedule. With over 2 hours of content and 20+ exercises, the program covers all necessary PowerPoint concepts and techniques.</p></div></div></div><div data-node-type="columnWrapper" style="color: rgb(14, 11, 22); box-sizing: border-box;" fr-original-style=" color: rgb(14, 11, 22);"><div data-node-type="column" fr-original-style="" style="box-sizing: border-box;"><div data-element-id="columnsType5" data-node-type="columnWrapper" fr-original-style="" style="box-sizing: border-box;"><div data-node-type="column" style="color: rgb(14, 11, 22); box-sizing: border-box;" fr-original-style=" color: rgb(14, 11, 22);"><div data-element-id="textNormal" data-node-type="text" 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;"><br fr-original-style="" style="box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&ldquo;I was previously unsure of all the financial jargon and concepts, now I feel I have taken steps towards getting the big picture of finance. I really liked the Excel web integration!&rdquo;</p></div><div data-element-id="textNormal" data-node-type="text" 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;">Rachel Crawford</p></div></div><br fr-original-style="" style="box-sizing: border-box;"></div></div><div data-node-type="column" fr-original-style="" style="box-sizing: border-box;"><h2 data-element-id="heading3Large" data-node-type="text" 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;">Course<span style="color: rgb(67, 26, 103); box-sizing: border-box;" fr-original-style=" color: rgb(67, 26, 103);"><br fr-original-style="" style="box-sizing: border-box;">Highlights</span></p></h2><ul data-node-type="listWrapper" fr-original-style="" style="box-sizing: border-box;"><li data-node-type="listItem" fr-original-style="" style="box-sizing: border-box;"><div data-node-type="text" fr-original-style="" style="box-sizing: border-box;">Introduction to Basic and Advanced Features&nbsp;</div></li><li data-node-type="listItem" fr-original-style="" style="box-sizing: border-box;"><div data-node-type="text" fr-original-style="" style="box-sizing: border-box;">Maintaining Design Consistency with Slide Master&nbsp;</div></li><li data-node-type="listItem" fr-original-style="" style="box-sizing: border-box;"><div data-node-type="text" fr-original-style="" style="box-sizing: border-box;">Pro Tips for Formatting, Animations, and Shortcuts&nbsp;</div></li><li data-node-type="listItem" fr-original-style="" style="box-sizing: border-box;"><div data-node-type="text" fr-original-style="" style="box-sizing: border-box;">Data Visualisation Best Practices&nbsp;</div></li><li data-node-type="listItem" fr-original-style="" style="box-sizing: border-box;"><div data-node-type="text" fr-original-style="" style="box-sizing: border-box;">Case Study: Building a Football Field Valuation Deck&nbsp;</div></li><li data-node-type="listItem" fr-original-style="" style="box-sizing: border-box;"><div data-node-type="text" fr-original-style="" style="box-sizing: border-box;">Certificate Upon Successful Course Completion<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div></li></ul><div data-node-type="column" style="color: rgb(14, 11, 22); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(14, 11, 22);"><div data-element-id="columnsType6" data-node-type="columnWrapper" fr-original-style="" style="box-sizing: border-box;"><div data-node-type="column" fr-original-style="" style="box-sizing: border-box;"></div></div></div></div></div>

Capital City Training & Consulting Ltd

PowerPoint Hacks

<p><strong>** Designed by Industry Specialist | FREE 2 CPD Courses With Certificates | QLS Level 7 Diploma Course | QLS Hard Copy Certificate Included | 180 CPD Points | Lifetime Access | Installment Payment | Tutor Support **</strong></p><p>In an era where 2.5 quintillion bytes of data are produced daily, the ability to process and visualise that data is paramount. Enter Power BI a tool that's taking the business world by storm. As the global market becomes increasingly data-driven, the role of a competent Data Analyst cannot be overstated. Introducing the "<strong>Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma</strong>." Designed by an industry specialist, this all-around course will guide you from the basics to the complicated nuances of <strong>Power BI</strong>, ensuring that you're not just a participant but a commander in the data revolution.</p><p>Experience beyond simple data processing. Get into 14 meticulously crafted modules that cover everything: from establishing a solid foundation in <strong>Module 01</strong> to storytelling with data in <strong>Module 08</strong> and even integrating advanced languages like Python in Module 07. With each module endorsed by <strong>Quality Licence Scheme</strong>, explore mini-projects that bolster your application abilities. By the end, you'll be adept at transforming raw data into actionable insights and compelling stories giving you a distinctive edge in the global job market.</p><p>As businesses globally recognise the vast potential of data, the demand for adept <strong>Power BI </strong>professionals skyrockets. But why be just another analyst when you can be the best? Train yourself with the "<strong>Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma</strong>" and harness the power of data to shape tomorrow. Your journey to global recognition begins here. Enrol now!</p><p><strong>â </strong><strong>ADDITIONAL GIFT </strong><strong>â</strong></p><ul><li><strong>Free Course 01:</strong> Google Data Studio</li><li><strong>Free Course 02:</strong> Business Intelligence and Data Mining</li></ul><p><strong>Learning Outcomes:</strong></p><ul><li>Be competent in the foundational concepts of Microsoft Power BI, from installation to interface navigation.</li><li>Develop proficiency in data transformation techniques using the Query Editor.</li><li>Acquire advanced data transformation skills, including dynamic data operations with the M formula language.</li><li>Comprehend the intricacies of creating robust and efficient data models with diverse relationships.</li><li>Formulate compelling visual representations of data, exploring visuals like pie charts, treemaps, and matrix visuals.</li><li>Integrate Python within Power BI, enabling advanced data manipulation and machine learning capabilities.</li><li>Narrate compelling data-driven stories, leveraging effective visualisation and storytelling techniques.</li><li>Grasp the essentials of DAX for powerful data operations, from basic aggregations to context manipulations with CALCULATE.</li><li>Navigate and optimise the Power BI Cloud Service, ensuring seamless data presentations and platform sharing.</li><li>Implement advanced security measures, understanding row-level security for safeguarding sensitive data.</li></ul><p>Experience the transformative world of data with our "<strong>Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma</strong>". Prepared by industry experts, this course bridges foundational concepts with advanced techniques, enabling learners to extract, visualise, and communicate insights effectively. From conquering Power BI's interface to advanced data storytelling, integrate Python and DAX for a holistic analytical experience. Ideal for aspiring data professionals, this course promises hands-on projects and mastery of the global market.</p><p><strong>Course Curriculum:</strong></p><p><strong>** Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma **</strong></p><p><strong>Module 01: Introduction</strong></p><ul><li>Welcome!</li><li>What is Power BI?</li><li>Download &amp; Installing Power BI Desktop</li><li>Getting to know the interface</li><li>Mini Project: Transform Data</li><li>Mini Project: Visualise Data</li><li>Mini Project: Creating a Data Model</li><li>Course Outline: What will you learn in this course?</li><li>How to learn best with this course?</li></ul><p><strong>Module 02: Preparing our Project</strong></p><ul><li>Creating our initial project file</li><li>Working with the attached project files</li></ul><p><strong>Module 03: Data Transformation - The Query Editor</strong></p><ul><li>Exploring the Query Editor</li><li>Connecting to our data source</li><li>Editing rows</li><li>Changing data types</li><li>Replacing values</li><li>Close &amp; Apply</li><li>Connecting to a CSV file</li><li>Connecting to a web page</li><li>Extracting characters</li><li>Splitting &amp; merging columns</li><li>Creating conditional columns</li><li>Creating columns from examples</li><li>Merging Queries</li><li>Pivoting &amp; Unpivoting</li><li>Appending Queries</li><li>Practice &amp; Solution: Population table</li><li>The Fact-Dimension-Model</li><li>Practice: Load the dimension table</li><li>Organising our queries in groups</li><li>Entering data manually</li><li>Creating an index column</li><li>Workflow &amp; more transformations</li><li>Module summary</li><li>Exercise 1 - Instruction</li><li>Exercise Solution</li></ul><p><strong>Module 04: Data Transformation - Advanced</strong></p><ul><li>Advanced Editor - Best practices</li><li>Performance: References vs. Duplicating</li><li>Performance: Enable / Disable Load &amp; Report Refresh</li><li>Group by</li><li>Mathematical Operations</li><li>Run R Script</li><li>Using Parameters to transform data dynamically</li><li>M formula language: Basics</li><li>M formula language: Values, Lists &amp; Tables</li><li>M formula language: Functions</li><li>M formula language: More functions &amp; steps</li><li>Exercise 2 - Instructions</li><li>Exercise 2 - Solution</li></ul><p><strong>Module 05: Creating a Data Model</strong></p><ul><li>Understanding the relationship</li><li>Create &amp; edit relationships</li><li>One-to-many &amp; one-to-one relationship</li><li>Many-to-many (m:n) relationship</li><li>Cross filter direction</li><li>Activate &amp; deactivate relationships</li><li>Model summary</li><li>Exercise 3 Create Model</li><li>Exercise 3 Solution</li></ul><p><strong>Module 06: Data Visualisation</strong></p><ul><li>Our first visual</li><li>The format tab</li><li>Understanding tables</li><li>Conditional formatting</li><li>The Pie Chart</li><li>All about the filtered visual</li><li>The filter pane for developers</li><li>Cross-filtering &amp; editing interactions</li><li>Syncing slicers across pages</li><li>Creating drill-downs</li><li>Creating drill throughs</li><li>The treemap visual</li><li>The decomposition tree</li><li>Understanding the matrix visual</li><li>Editing pages</li><li>Buttons &amp; Actions</li><li>Bookmarks to customise your report</li><li>Analytics and Forecasts with line charts</li><li>Working with custom visuals</li><li>Get data using R Script &amp; R Script visual</li><li>Asking questions - Q&amp;A visual</li><li>Wrap up - data visualisation</li></ul><p><strong>Module 07: Power BI &amp; Python</strong></p><ul><li>Python in Power BI - Plan of attack</li><li>Setting up Python for Power BI</li><li>Transforming data using Python</li><li>Creating visualisations using Python</li><li>Violin plots, pair plots &amp; ridge plots using Python</li><li>Machine learning (Bayes Text Analyser) using Python</li><li>Performance &amp; Troubleshooting</li></ul><p><strong>Module 08: Storytelling with Data</strong></p><ul><li>Introduction</li><li>Show Empathy &amp; Identify the Requirement</li><li>Finding the Most Suitable KPIs</li><li>Choose an Effective Visualisation</li><li>Make Use of Natural Reading Patterns</li><li>Tell a Story Using Visual Cues</li><li>Avoid Chaos &amp; Group Information</li><li>Warp Up - Storytelling with Data</li></ul><p><strong>Module 09: DAX - The Essentials</strong></p><ul><li>Introduction</li><li>The project data</li><li>Measures vs. Calculated Columns</li><li>Automatically creating a date table in DAX</li><li>CALENDAR</li><li>Creating a complete date table with features</li><li>Creating a key measurement table</li><li>Aggregation functions</li><li>The different versions of COUNT</li><li>SUMX - Row-based calculations</li></ul><p><strong>Module 10: DAX - The CALCULATE function</strong></p><ul><li>Calculate - The basics</li><li>Changing the context with FILTER</li><li>All</li><li>All SELECTED</li><li>All Except</li></ul><p><strong>Module 11: Power BI Service - Power BI Cloud</strong></p><ul><li>How to go on now?</li><li>Power BI Pro vs Premium &amp; Signing up</li><li>Exploring the interface</li><li>Discovering your workspace</li><li>Connecting Power BI Desktop &amp; Cloud</li><li>Understanding datasets &amp; reports</li><li>Working on reports</li><li>Updating reports from Power BI Desktop</li><li>Creating and working with workspaces</li><li>Installing &amp; using a data gateway</li><li>Get Quick Insights</li><li>Creating dashboards</li><li>Sharing our results through Apps</li><li>Power BI Mobile App</li><li>Creating the layout for the Mobile App</li><li>Wrap up - Power BI Cloud</li></ul><p><strong>Module 12: Row-Level Security</strong></p><ul><li>Introduction</li><li>Creating a Row-Level Security</li><li>Row-Level Security in the Cloud</li><li>Row-Level Security &amp; Data Model</li><li>Dynamic Row-Level Security</li><li>Dynamic Many-to-Many RLS</li><li>Hierarchical Row-Level Security</li></ul><p><strong>Module 13: More data sources</strong></p><ul><li>JSON &amp; REST API</li><li>Setting up a local MySQL database</li><li>Connecting to a MySQL database in Power BI</li><li>Connecting to a SQL database (PostgreSQL)</li></ul><p><strong>Module 14: Next steps to improve &amp; stay up to date</strong></p><ul><li>Congratulations &amp; next steps</li><li>The End</li></ul><p><strong>Please Note:</strong> Imperial Academy is an approved reselling partner for Quality Licence Scheme courses under One Education.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>This <strong>Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma </strong>course is appropriate for the following:</p><ul><li>Aspiring data analysts eager to kickstart or advance their careers in the data visualization realm.</li><li>Business professionals wanting to harness data-driven insights for strategic decision-making.</li><li>Researchers and academicians aiming to represent complex data sets in easily digestible visuals.</li><li>IT specialists looking to expand their skill set into the booming field of data analytics and visualization.</li><li>Companies and teams aiming to upskill their members for improved data-driven operations and reporting.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>No requirements to enrol in <strong>Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma</strong>.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <ul><li>Data Analyst: £25,000 - £40,000</li><li>Software Engineer: £28,000 - £55,000</li><li>Marketing Manager: £30,000 - £50,000</li><li>Civil Engineer: £27,000 - £52,000</li><li>Graphic Designer: £21,000 - £37,000</li><li>Solicitor: £30,000 - £60,000</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Hard Copy QLS Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
        <h4>PDF Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Student ID Card</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Imperial Academy

Bring Your Data To Life | Designed by Industry Specialist |  Level 7 | QLS Endorsed Diploma | Certificate Included

Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma

<p><strong>***24 Hour Limited Time Flash Sale***</strong></p><p><strong> </strong><strong>Data Visualisation Professional - CPD Certified </strong><strong>Admission Gifts </strong></p><p><strong> FREE PDF &amp; Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter</strong></p><p>Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive Data Visualisation Professional - CPD Certified Bundle provides unique insights and tools that can help you achieve your goals.</p><p>Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our Data Visualisation Professional - CPD Certified bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level.</p><p><strong>But that's not all. When you enrol in Data Visualisation Professional - CPD Certified Online Training, you'll receive 30 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free.</strong></p><p><strong>Courses Are Included In this Data Visualisation Professional - CPD Certified Career Bundle:</strong></p><ul><li> Course 01: Master JavaScript with Data Visualization</li><li> Course 02: SQL for Data Science, Data Analytics and Data Visualization</li><li> Course 03: Spatial Data Visualization and Machine Learning in Python</li><li> Course 04: Data Analysis</li><li> Course 05: Excel Data Analysis</li><li> Course 06: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</li><li> Course 07: Python Programming Bible</li><li> Course 08: Python Data Science with Numpy, Pandas and Matplotlib</li><li> Course 09: Data Science &amp; Machine Learning with Python</li><li> Course 10: Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li> Course 11: R Programming for Data Science</li><li> Course 12: Quick Data Science Approach from Scratch</li><li> Course 13: Mastering SQL Programming</li><li> Course 14: Learn Python, JavaScript, and Microsoft SQL for Data science</li><li> Course 15: Web Scraping and Mapping Dam Levels in Python and Leaflet</li><li> Course 16: Business Data Analysis</li><li> Course 17: Business Intelligence and Data Mining Diploma</li><li> Course 18: Google Data Studio: Data Analytics</li><li> Course 19: Google Analytics for Everyone</li><li> Course 20: Big Data Analytics with PySpark Tableau Desktop and MongoDB</li><li> Course 21: Big Data Analytics with PySpark Power BI and MongoDB</li><li> Course 22: Introduction to Data Analytics with Tableau</li><li> Course 23: Microsoft Power BI - Master Power BI in 90 Minutes!</li><li> Course 24: PowerBI Formulas</li><li> Course 25: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li> Course 26: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li> Course 27: Microsoft Access Tables and Queries</li><li> Course 28: Statistical Analysis</li><li> Course 29: Research Methods in Business</li><li> Course 30: Customer Analytics Training</li></ul><p>With Data Visualisation Professional - CPD Certified, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. And with 24/7 tutor support, you'll never feel alone in your journey, whether you're a seasoned professional or a beginner.</p><p>Don't let this opportunity pass you by. Enrol in Data Visualisation Professional - CPD Certified today and take the first step towards achieving your goals and dreams.</p><p><strong>Why buy this Data Visualisation Professional - CPD Certified?</strong></p><ul><li><strong>Free CPD Accredited Certificate</strong> upon completion of Data Visualisation Professional - CPD Certified</li><li>Get <strong>a free student ID card</strong> with Data Visualisation Professional - CPD Certified</li><li><strong>Lifetime access</strong> to the Data Visualisation Professional - CPD Certified course materials</li><li>Get instant access to this Data Visualisation Professional - CPD Certified course</li><li>Learn Data Visualisation Professional - CPD Certified from anywhere in the world</li><li>24/7 tutor support with the Data Visualisation Professional - CPD Certified course.</li></ul> <p><strong>Start your learning journey straightaway with our Data Visualisation Professional - CPD Certified Training!</strong></p><p>Data Visualisation Professional - CPD Certified premium bundle consists of 30 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of the Data Visualisation Professional - CPD Certified is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience.</p><p><strong>Certification</strong></p><p>You have to complete the assignment given at the end of the Data Visualisation Professional - CPD Certified course. After passing the Data Visualisation Professional - CPD Certified exam You will be entitled to claim a PDF &amp; Hardcopy certificate accredited by CPD Quality standards completely free.</p> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p><strong>This Data Visualisation Professional - CPD Certified course is ideal for:</strong></p><ul><li>Students seeking mastery in Data Visualisation Professional - CPD Certified</li><li>Professionals seeking to enhance Data Visualisation Professional - CPD Certified skills</li><li>Individuals looking for a Data Visualisation Professional - CPD Certified-related career.</li><li>Anyone passionate about Data Visualisation Professional - CPD Certified</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This <strong>Data Visualisation Professional - CPD Certified </strong>doesn't require prior experience and is suitable for diverse learners.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>After the assessment, you will be ready for countless job opportunities. Some of them are-</p><ul><li>Business Analyst</li><li>Business Intelligence Analyst</li><li>Analytics Manager</li><li>Data Analyst</li><li>Data Scientist</li></ul><p>However, in the growing market of the UK, these professionals are expected to earn between <strong>£25k to £80k</strong> yearly on average.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Digital Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>CPD Accredited Hard Copy Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>If you are an <strong>international student</strong>, then you have to pay an additional <strong>10 GBP</strong> for each certificate as an international delivery charge.</p></div>

                        </div>

Data Visualisation Professional - CPD Certified

Duco Digital Training

Machine Learning (ML)

IT Certifications

IT Skills

Data Visualization

Computing & IT

Data Analysis

Data Analyst

IT Literacy

Business Data Analysis

Thinking about learning more about the data you are using in your job and how to present this?
The BCS Foundation Award in Data Visualisation teaches how data is used to make decisions in an organisation and the importance of presenting accurate data in a way that enables decision making to happen.

Data Visualisation - BCS Foundation Award

<div id="course-pills-1">Duration<p>2 Days</p><p>12 CPD hours</p>This course is intended for<p>This course is aimed at anyone currently working with data who is interested in using data visualisation to more effectively communicate their results.</p>Overview<p>At completion, delegates will understand how data visualisations can be best used to communicate actionable insights from data and be competent with the tools required to do it.</p><p>Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data.</p></div><div id="course-pills-2"><h4>Course Outline</h4><ul><li>The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to horse breeding. The companies doing this most successfully understand that using sophisticated analytics approaches to unlock insights from data is only half the job. Communicating these insights to all of the different parts of an organisation is just as important as doing the actual analysis. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. To attend this course delegates should be competent in the use of data analysis tools such as reporting tools, spreadsheet software or business intelligence tools. The course will explore the following topics through a series of interactive workshop sessions:</li><li>Fundamentals of data visualisation</li><li>Data characteristics &amp; dimensions</li><li>Mapping visual encodings to data dimensions</li><li>Colour theory</li><li>Graphical perception &amp; communication</li><li>Interaction design</li><li>Visualisation different characteristics of data: trends, comparisons, correlations, maps, networks, hierarchies, text</li><li>Designing effective dashboards</li></ul></div>

Nexus Human

Business Analytics & Intelligence

Excel Analytics

Big Data Analytics

Data Science

Data Skills

Effective Data Visualisation

<h2>Professional Arduino Data Visualisation using Python Course Overview</h2> <p>Are you looking to begin your Arduino data visualisation career or want to develop more advanced skills in Arduino data visualisation? Then this professional Arduino data visualisation using Python course will set you up with a solid foundation to become a confident Python progammer or electronic and electrical engineer and help you to develop your expertise in Arduino data visualisation.</p> <p>This professional Arduino data visualisation using Python course is <strong>accredited</strong> by the <strong>CPD UK </strong>&amp;<strong> IPHM</strong>. CPD is <strong>globally recognised</strong> by <strong>employers</strong>, <strong>professional organisations</strong> and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. <strong>CPD certified certificates</strong> are <strong>accepted</strong> by thousands of <strong>professional bodies</strong> and <strong>government regulators</strong> here in the <strong>UK</strong> and <strong>around the world</strong>.</p> <p>Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this professional Arduino data visualisation using Python course will set you up with a solid foundation to become a confident Python progammer or electronic and electrical engineer and develop more advanced skills. Gain the essential skills and knowledge you need to propel your career forward as a Python progammer or electronic and electrical engineer.</p> <p>The professional Arduino data visualisation using Python course will set you up with the appropriate skills and experience needed for the job and is ideal for both beginners and those currently working as a Python progammer or electronic and electrical engineer.</p> <p>This comprehensive professional Arduino data visualisation using Python course is the perfect way to kickstart your career in the field of Arduino data visualisation. This professional Arduino data visualisation using Python course will give you a competitive advantage in your career, making you stand out from all other applicants and employees.</p> <p>If you're interested in working as a Python progammer or electronic and electrical engineer or want to learn more skills on Arduino data visualisation but unsure of where to start, then this professional Arduino data visualisation using Python course will set you up with a solid foundation to become a confident Python progammer or electronic and electrical engineer and develop more advanced skills.</p> <p>As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This professional Arduino data visualisation using Python course is crafted by industry experts, to enable you to learn quickly and efficiently, and at your own pace and convenience.</p> <h3>Who should take this course?</h3> <p>This comprehensive professional Arduino data visualisation using Python<strong> </strong>course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of Arduino data visualisation.</p> <h3>Entry Requirements</h3> <ul> <li>There are no academic entry requirements for this professional Arduino data visualisation using Python<strong> </strong>course, and it is open to students of all academic backgrounds.</li> <li>As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol.</li> </ul> <h3>Career path</h3> <p>This professional Arduino data visualisation using Python<strong> </strong>course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. You will also be able to add your new skills to your CV, enhance your career and become more competitive in your chosen industry.</p><h2><b>Course Curriculum</b></h2> <div id="la-course-curriculum"> <div> <div>  Introduction <span></span>  <div> <div> <p>Introduction</p> <span></span> </div> <div> <p>Who We Are</p> <span></span> </div> <div> <p>Hardware and Software Requirements</p> <span></span> </div> </div> </div> <div>  Download and Install Software Section <span></span>  <div> <div> <p>Download and Install Arduino Pro IDE</p> <span></span> </div> <div> <p>Download and Install Python Editor</p> <span></span> </div> <div> <p>Download and Install Required Libraries</p> <span></span> </div> </div> </div> <div>  Python Coding to Control Arduino Pins <span></span>  <div> <div> <p>Python Coding to Control Pin Via Serial</p> <span></span> </div> <div> <p>Arduino Coding to Control Pin Via Serial</p> <span></span> </div> <div> <p>Running Python Script to Control the Pin</p> <span></span> </div> </div> </div> <div>  Python Coding to Control Arduino Pins <span></span>  <div> <div> <p>Python GUI with Button to Control Arduino Pins</p> <span></span> </div> </div> </div> <div>  Arduino Real-Time Plotting with Python <span></span>  <div> <div> <p>Arduino Real-Time Plotting with Python</p> <span></span> </div> </div> </div> <div>  Arduino Input/Output Control Via Python <span></span>  <div> <div> <p>Blink Simple Led Example with Python</p> <span></span> </div> <div> <p>Reading Digital Input and Sending Digital Output with Python</p> <span></span> </div> </div> </div> <div>  Extra <span></span>  <div> <div> <p>Installing Python and PIP</p> <span></span> </div> </div> </div> </div> </div><h2><b>Recognised Accreditation</b></h2> <div> <h3>CPD Certification Service</h3> <p>This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field.</p> </div><h2><b>Certificate of Achievement</b></h2> <h3>Certificate of Achievement from Lead Academy</h3> <p>After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of Â£12, and there is an additional fee to obtain a printed copy certificate which is Â£35.</p> <p> </p><h2><b>FAQs</b></h2> <div id="accordionPanelsStayOpenExample"> <div> <h3 id="panelsStayOpen-heading21">  Is CPD a recognised qualification in the UK?  </h3> <div id="panelsStayOpen-collapse21"> <div> <p>CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading23">  Are QLS courses recognised?  </h3> <div id="panelsStayOpen-collapse23"> <div> <p>Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading25">  When will I receive my certificate?  </h3> <div id="panelsStayOpen-collapse25"> <div> <p>For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading27">  Can I pay by invoice?  </h3> <div id="panelsStayOpen-collapse27"> <div> <p>Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading29">  Can I pay via instalment?  </h3> <div id="panelsStayOpen-collapse29"> <div> <p>Yes, you can pay via instalments at checkout. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading31">  How to take online classes from home?  </h3> <div id="panelsStayOpen-collapse31"> <div> <p>Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. </p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading33">  Does age matter in online learning?  </h3> <div id="panelsStayOpen-collapse33"> <div> <p>No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons.</p> </div> </div> </div> <div> <h3 id="panelsStayOpen-heading35">  When I will get the login details for my course?  </h3> <div id="panelsStayOpen-collapse35"> <div> <p>After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org</p> </div> </div> </div> </div>

Lead Academy

Professional Arduino Data Visualisation using Python

<p>Are your reports and presentations <strong>boring</strong>? Do you wish to <strong> "animate"</strong> your data?</p><p>Tableau, a prominent <strong>visualisation program,</strong> will help your data problems to have an answer. You will acquire the knowledge necessary to master <strong>data visualisation</strong> in this Tableau introduction course.</p><p>This Tableau course gives you the <strong>confidence</strong> to discover the true value of your data by laying a foundation in data visualisation through a series of practical exercises. This Tableau course is designed for people who have never used Tableau before and are new to data visualisation. It makes use of Tableau's assortment of features to show best practices for <strong>data narrative and visualisation</strong>. You will learn how to connect datasets to Tableau, navigate the user interface, build interactive visualisations, and save and share your work in this course. You will learn how to employ each sort of visualisation in this course by going step by step through each one. By incorporating practical built-in functions, you will also learn how to create some fundamental formulas in the Tableau Calculation Language.</p><p><strong>Enrol real quickly</strong> to learn all there is to know about the Tableau - Crash Course, develop your talents in this area and feel secure in your knowledge base.</p><p><strong>Learning Outcome</strong></p><p>After completing this course successfully, you will be able to</p><ul><li>Learn how to create powerful dashboards and visualisations.</li><li>Ensure that Tableau is discovering the answers to your queries rather than creating new issues, prepare and clean your data</li><li>Understand how to create sophisticated visuals that convey complexity in a clear, appealing manner</li><li>Explore your data more thoroughly with clustering and distribution models that let you identify trends and make predictions</li><li>Discover how to utilise data storytelling to inform strategy and decision-making</li><li>Share dashboards and visualisations to foster an environment where data is accessible and appreciated</li></ul><p><strong>Key Benefits</strong></p><ul><li>Learning materials of the Design course contain engaging voiceover and visual elements for your comfort.</li><li>Get 24/7 access to all content for a full year.</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li></ul><p><strong>Course Curriculum:</strong></p><ul><li>Section 1: Introduction to Tableau</li><li>Section 2: Connecting and Preparing Data</li><li>Section 3: Creating Charts and Calculations</li><li>Section 4: Building and Publishing Dashboards</li><li>Section 5: Build a Dashboard Analyzing Trumps Tweets about COVID-19</li></ul><p><strong>Course Assessment</strong></p><p>To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%.</p><p>When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme.</p><p><strong>Exam &amp; Retakes:</strong></p><p>It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.</p><p><strong>Certification</strong></p><p>Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).</p><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>Anyone interested in starting a career in data science or a database is encouraged to apply. This course is really easy to understand, even if you are a total newbie with no prior knowledge. Additionally, if you already work in a related field, this course will be an excellent source of knowledge for you to develop your current skills.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

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

                        <div id="career_path">
                            <p>Learners will be able to attain numerous valuable skills and the chance to gain after completing the Tableau - Crash course. With more help, you could advance in the following career:</p><ul><li>Tableau Developer</li><li>Data Analyst</li><li>Data Visualisation Developer</li><li>Tableau Developer - Data Analytics</li><li>Business Intelligence/Data Validation Analyst</li></ul>
                        </div>

Data Visualisation with Tableau Course

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Are you ready to embark on an enlightening journey of wisdom with the Big Data bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our course bundle - Big Data : Data Science, Data Analytics &amp; Data Visualisation.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Delve into eight immersive CPD Accredited courses, each a standalone course:</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;">Big Data Analytics with PySpark Power BI and MongoDB</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Big Data Analytics with PySpark Tableau Desktop and MongoDB</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Building Big Data Pipelines with PySpark MongoDB and Bokeh</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Basic Data Analysis</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</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Complete Python Machine Learning &amp; Data Science Fundamentals</strong></li></ol><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Big Data : Data Science, Data Analytics &amp; Data Visualisation bundle illuminate your path to wisdom.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data : Data Science, Data Analytics &amp; Data Visualisation bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">In the framework of the Big Data : Data Science, Data Analytics &amp; Data Visualisation package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the Big Data bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">So, don&#39;t wait further and join the Big Data : Data Science, Data Analytics &amp; Data Visualisation community today and let your voyage of discovery begin!</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;">Attain a holistic understanding in the designated areas of study with the Big Data bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Establish robust bases across each course nestled within the Big Data bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Decipher intricate concepts through the articulate content of the Big Data bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Amplify your prowess in interpreting, scrutinising, and implementing theories.</li><li fr-original-style="" style="box-sizing: border-box;">Procure the capacity to engage with the course material on an intellectual and profound level.</li><li fr-original-style="" style="box-sizing: border-box;">Become proficient in the art of problem-solving across various disciplines.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Stepping into the Big Data bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the Big Data bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the Big Data bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Big Data journey and let knowledge guide you towards a brighter future.</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;">
                                        85 CPD hours / points
                                    </div>
                                        <div fr-original-style="" style="box-sizing: border-box;">
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Individuals keen on deepening their firm understanding in the respective fields.</li><li fr-original-style="" style="box-sizing: border-box;">Students pursuing higher education looking for comprehensive theory modules.</li><li fr-original-style="" style="box-sizing: border-box;">Professionals seeking to refresh or enhance their knowledge.</li><li fr-original-style="" style="box-sizing: border-box;">Anyone with a thirst for knowledge and a passion for continuous learning.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Armed with the Big Data bundle, your professional journey can reach new heights. The comprehensive theoretical knowledge from this bundle can unlock diverse career opportunities across several fields. Whether it&#39;s academic research, consultancy, or programme management, the Big Data bundle lays a solid groundwork.</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;">CPD Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">8 Digital Certificates Are Included With This Bundle</p></div>
        <h4 fr-original-style="" style="box-sizing: border-box;">CPD Quality Standard Hardcopy Certificate (FREE UK Delivery)</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            &pound;9.99
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Hardcopy Transcript - &pound;9.99</p></div>

                        </div>

NextGen Learning

Big Data

Continuous Professional Development (CPD)

Big Data : Data Science, Data Analytics & Data Visualisation - 8 Courses Bundle

Build your accounting and financial skills to expertly handle everyday business operations and crucial calculations with the Accounting and Finance Diploma. Begin by mastering the fundamental principles of accounting, and then advance your knowledge to cover all aspects of accounting and finance. This comprehensive course is designed to support both those aspiring to launch a career in accounting and finance and individuals seeking to develop their skills for career advancement and promotions.
The Accounting and Finance Diploma course provides an in-depth exploration of key accounting methods, including cash flow control, investment appraisals, and budget deliberation. You’ll learn essential techniques for effective decision-making in monetary matters, ensuring you can confidently handle financial responsibilities and contribute to business success.
With this course, you'll gain valuable insights into every aspect of accounting and finance, equipping you with the expertise needed for informed business decisions. Whether you’re looking to excel in a new role or enhance your current position, the knowledge gained from this diploma will be instrumental in driving your career forward in the field of accounting and finance.
Courses are included in this Accounting and Finance Complete Bundle:
Course 01: Introduction to Accounting
Course 02: Level 3 Tax Accounting
Course 03: Introduction to VAT
Course 04: Level 3 Xero Training
Course 05: Professional Bookkeeping Course
Course 06: Microsoft Excel Level 3
Course 07:Team Management
Course 08: GDPR Data Protection Level 5
Course 09: Fraud Management & Anti Money Laundering Awareness Complete Diploma
Course 10: Business Analysis Level 3
Course 11: Time Management
So, enrol on Accounting and Finance now in this Accounting and Finance Bundle!



Key Features of the Course
FREE Accounting and Finance Diploma CPD-accredited certificate
Get a free student ID card with Accounting and Finance Diploma training (£10 applicable for international delivery)
Lifetime access to the Accounting and Finance Diploma course materials
The Accounting and Finance Diploma program comes with 24/7 tutor support
Get instant access to this Accounting and Finance Diploma course
Learn Accounting and Finance Diploma training from anywhere in the world
The Accounting and Finance Diploma training is affordable and simple to understand
The Accounting and Finance Diploma training is entirely online



Curriculum:
Course 01: Introduction to Accounting
What is Financial Accounting
Double Entry System and Fundamental Rules
Financial Process and Financial Statements Generate
Basic Equations and Four Financial Statements
Define a Chart of Accounts and Classify the accounts
External and Internal Transactions with companies
Short Exercise to Confirm what we learned in this section
What Major Policies need to be decided by companies
Depreciation Policies
Operational Fixed Asset Controls
Inventory and Controls
Revenue and Controls
Course 02: Level 3 Tax Accounting
Tax System and Administration in the UK
Tax on Individuals
National Insurance
How to Submit a Self-Assessment Tax Return
Fundamentals of Income Tax
Payee, Payroll and Wages
Value Added Tax
Corporation Tax
Double Entry Accounting
Management Accounting and Financial Analysis
Career as a Tax Accountant in the UK
Course 03: Introduction to VAT

Understanding VAT
VAT Terminology and Calculation
VAT Taxable Persons
VAT Registration
VAT Rates
Invoicing and Records
VAT Application in Goods, Services and Vehicles
Supply
The VAT Return
Tips on VAT Compliance
VAT Exemptions and Zero-Rated VAT
Miscellaneous VAT Issues and Penalties
Making Tax Digital
Course 04: Level 3 Xero Training
Introduction
Getting Started
Invoices and Sales
Bills and Purchases
Bank Accounts
Products and Services
Fixed Assets
Payroll
VAT Returns
Course 05: Professional Bookkeeping Course
Introduction
Basic Accounting Terms
Common Transactions
Practice
Course 06: Microsoft Excel Level 3

Microsoft Excel 2019 New Features
Getting Started with Microsoft Office Excel
Performing Calculations
Modifying a Worksheet
Formatting a Worksheet
Printing Workbooks
Managing Workbooks
Working with Functions
Working with Lists
Analysing Data
Visualising Data with Charts
Using PivotTables and PivotCharts
Working with Multiple Worksheets and Workbooks
Using Lookup Functions and Formula Auditing
Sharing and Protecting Workbooks
Automating Workbook Functionality
Creating Sparklines and Mapping Data
Forecasting Data
Excel Templates
Course 07: Presenting Financial Information
Presenting Financial Information
The Hierarchy of Performance Indicators
The Principle of Effective Reports
Guidelines for Designing Management Reports
Methods of Presenting Performance Data
The Control Chart: Highlighting the Variation in the Data
The Pareto Chart: Highlighting Priorities
Exercise: The Control Chart
An Example Management Report
Interpreting Performance Data
Supporting Colleagues by Giving Feedback
Data Visualisation Part 01
Data Visualisation Part 02
Data Visualisation Part 03
Data Visualisation Part 04
Final Thoughts on Presenting Financial Information
Course 08: GDPR Data ProtectionLevel 5
GDPR Basics
GDPR Explained
Lawful Basis for Preparation
Rights and Breaches
Responsibilities and Obligations
Course 09: Fraud Management & Anti Money Laundering Awareness Complete Diploma
Introduction to Money Laundering
Proceeds of Crime Act 2002
Development of Anti-Money Laundering Regulation
Responsibility of the Money Laundering Reporting Office
Risk-based Approach
Customer Due Diligence
Record Keeping
Suspicious Conduct and Transactions
Awareness and Training
Course 10: Business Analysis Level 3

Introduction to Business Analysis
Business Processes
Business Analysis Planning and Monitoring
Strategic Analysis and Product Scope
Solution Evaluation
Investigation Techniques
Ratio Analysis
Stakeholder Analysis and Management
Process Improvement with Gap Analysis
Documenting and Managing Requirements
Career Prospect as a Business Analyst in the UK
Course 11: Time Management

Identifying Goals
Effective Energy Distribution
Working with Your Personal Style
The detailed curriculum of the Accounting and Finance bundle is given in the resources section.
How will I get my Certificate?
After successfully completing the Accounting and Finance course, you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.
PDF Certificate: Free (Previously, it was £10 * 11 = £110)
Hard Copy Certificate: Free (For The Title Course)
 CPD 
115 CPD hours/points  Accredited by CPD Quality Standards



 Who is this course for? 
No experience or previous qualifications are required for this Accounting and Finance Course enrolment.



 Requirements 
Our Accounting and Finance course is your path that might lead to a rewarding career. You will gain in-demand mastery in this program.



 Career path 
The Accounting and Finance course is beneficial for any profession or career from any industry you are in, such as:
Managers
Accountants
Bankers
Finance Officer
Payroll Officer
Bookkeeper
Finance Administrator



 Certificates 
Certificate of completion
Digital certificate - Included
Certificate of completion
Digital certificate - Included

Apex Learning

Xero

Accounting & Finance

Tax Accounting

Accounting & Bookkeeping

Accounting and Finance Diploma

This Offer is vaild for first 10 Learners Only!!

Limited Time Offer!

<p dir="ltr" id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Whetstone Communications, in association with comms2point0, are delighted to bring you the Data Bites series of five <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">FREE</strong> webinars.</p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Our aim is to boost interest and levels of data literacy among not-for-profit communicators.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">By taking part, you will gain:</span></p><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Confidence in using some basic data techniques</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Examples and ideas for using data in your daily work</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Insight into using the power of AI for powerful insights</span></li><li dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">New knowledge and skills to help you stand out from the crowd - and even win awards&nbsp;</span></li></ul><div fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></div><div fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Now Booking: #2.&nbsp;</strong><span style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style="color:#000000;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Finding and Asking for Data (30 mins)</strong></span></div><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Where to find relevant data<br fr-original-style="" style="box-sizing: border-box;">Internal Data<br fr-original-style="" style="box-sizing: border-box;">Open Data and Public Data<br fr-original-style="" style="box-sizing: border-box;">Official Data<br fr-original-style="" style="box-sizing: border-box;">Alternative Data<br fr-original-style="" style="box-sizing: border-box;">Asking for data from internal colleagues<br fr-original-style="" style="box-sizing: border-box;">Data visualisation</p>

Whetstone Communications, in association with comms2point0, are delighted to bring you the Data Bites series of five FREE webinars.
Our aim is to boost interest and levels of data literacy among not-for-profit communicators.
By taking part, you will gain:
Confidence in using some basic data techniques
Examples and ideas for using data in your daily work
Insight into using the power of AI for powerful insights
New knowledge and skills to help you stand out from the crowd - and even win awards
Now Booking: #2. Finding and Asking for Data (30 mins)
Where to find relevant data
Internal Data
Open Data and Public Data
Official Data
Alternative Data
Asking for data from internal colleagues
Data visualisation

Alex Waddington

Communication

Digital Communication

Public Relations (PR)

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.

[Data Bites for Comms Pros] #2 Finding and Asking for Data (30 mins)

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

Google Data Studio

GDPR

Data Mining

Tableau

Business Intelligence (BI)

Python

ChatGPT

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

Data Analyst (Data Analytics) Diploma - CPD Certified

<p fr-original-style="" id="isPasted" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Data has become the most important resource for every organisation &ndash; but the insights gained from data analysis will only ever be truly valuable if they can be clearly expressed to other people.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is for anybody who works with data, and needs to communicate the meaning that&#39;s in the numbers to colleagues, customers, bosses or external stakeholders.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">It will give you or your team the confidence and skills to translate raw data into compelling visual stories for your key audiences. The principles and skills covered apply to the simplest PowerPoint chart, to more complex interactive visualisations.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">We&rsquo;ll work with you before the course to ensure that we understand your organisation and what you&rsquo;re hoping to achieve.&nbsp;<br fr-original-style="" style="box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Sample learning content</strong></span></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;">Session 1: What makes a great data-driven story</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">The key elements of a successful infographic or presentation.</li><li fr-original-style="" style="box-sizing: border-box;"> Industry best practice, and discussion of good (and bad) examples. </li><li fr-original-style="" style="box-sizing: border-box;">A simple framework for identifying the Audience, Story and Action. </li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Session 2: Data in context</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">How to balance function and aesthetic appeal.&nbsp;</li><li fr-original-style="" style="box-sizing: border-box;"> Identifying the right graph, chart, infographic or other visual.&nbsp; </li><li fr-original-style="" style="box-sizing: border-box;">Framing the data and providing contextual information.  </li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Session 3: Designing for the human brain</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Using colours to add emphasis and meaning.  </li><li fr-original-style="" style="box-sizing: border-box;">Design and layout principles, and creating hierarchies of information. </li><li fr-original-style="" style="box-sizing: border-box;">The principle of &lsquo;self-sufficiency&rsquo;, and removing clutter.  </li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Session 4: Navigation and narrative</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Tailoring visualisations for different types of communications.&nbsp; </li><li fr-original-style="" style="box-sizing: border-box;">Structuring presentations and longer reports.&nbsp; </li><li fr-original-style="" style="box-sizing: border-box;">Thinking in layers to create interactive dashboards. </li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">Delivery</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive &ndash; every session includes a mix of formal tuition and hands-on exercises.  To ensure this is possible, the number of attendees is capped at 16 people.&nbsp;</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;">Tutor</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Cond&eacute; Nast International as product owner on a bespoke digital asset management system for their 11 global markets. </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;"><span fr-original-style="font-size: 18px;" style="font-size: 18px; box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Testimonial</strong></span></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">&ldquo;I was familiar with Alan&rsquo;s work as a Guardian Masterclass instructor on data visualisation and digital journalism, which made it easy for me to recommend him for onsite training at the Liverpool School of Tropical Medicine. &nbsp;We had a large group of people interested in honing their abilities to depict their research and stories in engaging ways. &nbsp;Alan&rsquo;s course provided great insight about common communication pitfalls and how to avoid them, how to become better communicators by understanding the audience diversity, and it showcased some great online tools for creating infographics. &nbsp;This should be mandatory training for all students, academics, report writers and those involved with conveying research to the media as it will help increase the clarity and accessibility of our own research stories.&rdquo; <br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><em fr-original-style="" style="box-sizing: border-box;">Dr Lee Haines | Liverpool School of Tropical Medicine</em></strong></p>

184 Courses delivered Online

Software Engineering: Software Programming, Web Design & Development

By Academy for Health and Fitness

Level 3 Data Entry, Data Analytics, Document Control & Virtual Assistant Diploma Course

By Training Express

Database Management for Business Intelligence Analysts Course

By Training Express

Quantitative User Research Methods

By Bunnyfoot

Graphic Elements of Design: Color Theory and Application

By John Academy

Data Analysis, Data Analytics with Tableau & Data Science & Machine Learning with R Course

By One Education

Data Analytics with Tableau at QLS Level 6 & 7 Course

By One Education

Data Analytics with Tableau at QLS Level 6 & 7 Course

By One Education

PowerPoint Hacks

By Capital City Training & Consulting Ltd

Data Analyst Training: Microsoft Power BI at QLS Level 7 Diploma

By Imperial Academy