Name: Data Bundle Course
Price: 25 GBP
Availability: InStock

<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 Data Analysis bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our bundle - <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong>.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Delve into eight immersive CPD Accredited courses, each a </strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">simple</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> course: </strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 1: </strong>Introduction to Data Analytics with Tableau<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 2: </strong>Big Data Analytics with PySpark Tableau Desktop and MongoDB<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 3: </strong>Big Data Analytics with PySpark Power BI and MongoDB<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 4: </strong>Google Data Studio: Data Analytics <br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 5: </strong>SQL for Data Science, Data Analytics and Data Visualization<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 6: </strong>Business Analysis Course Level 5<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 7: </strong>Financial Analysis<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 8: </strong>Data Analysis and Forecasting in Excel<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;">Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Data Analysis with SQL &amp; Tableau for Data Analytics 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 <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> 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 <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> 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 Data Analysis 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 <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> 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><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Upon completion of the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> Bundle, you will be able to:</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 Data Analysis bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Establish robust bases across each course nestled within the Data Analysis bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Decipher intricate concepts through the articulate content of the Data Analysis 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 <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> 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 <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis</strong> 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 <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> 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 Data Analysis 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 Data Analysis bundle allows learners to make meaningful contributions to their chosen fields. Embark on the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis</strong> 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;">
                                        80 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;">Requirements</div>
    </h2>

                        <div id="requirements" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Without any formal requirements, you can delightfully enrol in this <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> Bundle.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Armed with the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis with SQL &amp; Tableau for Data Analytics</strong> 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 <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis</strong> 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

Business Analytics & Intelligence

Data Engineering

Excel Analytics

Big Data Analytics

Data Science

Data Skills

Data Analysis with SQL & Tableau for Data Analytics - 8 Courses Bundle

General Admission

<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 Data Analysis, Business Analysis &amp; Data Science 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 - IT and Analytics: Data Analysis, Business Analysis &amp; Data Science.</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><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;">Course 01:</strong> Basic Data Analysis<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 02: </strong>Google Data Studio: Data Analytics<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 03:</strong> RCA: Root Cause Analysis<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 04:</strong> Business Intelligence Analyst Course<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 05: </strong>Quick Data Science Approach from Scratch<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 06: </strong>IT Administration and Networking<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 07:</strong> CompTIA IT Fundamentals ITF+ (FCO-U61)<br fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 08:</strong> IT For Recruiters</p><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 IT and Analytics: Data Analysis, Business Analysis &amp; Data Science 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 IT and Analytics: Data Analysis, Business Analysis &amp; Data Science 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 IT and Analytics: Data Analysis, Business Analysis &amp; Data Science 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 Data Analysis, Business Analysis &amp; Data Science 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 IT and Analytics: Data Analysis, Business Analysis &amp; Data Science 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 Data Analysis, Business Analysis &amp; Data Science bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Establish robust bases across each course nestled within the Data Analysis, Business Analysis &amp; Data Science bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Decipher intricate concepts through the articulate content of the Data Analysis, Business Analysis &amp; Data Science 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 Data Analysis, Business Analysis &amp; Data Science 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 Data Analysis, Business Analysis &amp; Data Science 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 Data Analysis, Business Analysis &amp; Data Science 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;"><br fr-original-style="" style="box-sizing: border-box;">The Data Analysis, Business Analysis &amp; Data Science 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 Data Analysis, Business Analysis &amp; Data Science bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Data Analysis, Business Analysis &amp; Data Science 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;">
                                        110 CPD hours / points
                                    </div>
                                        <div fr-original-style="" style="box-sizing: border-box;">
                                            Accredited by CPD Quality Standards
                                        </div>
                                </div>
                            </div>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The target audience for the Data Analysis, Business Analysis &amp; Data Science course is:</p><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;">Requirements</div>
    </h2>

                        <div id="requirements" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Without any formal requirements, you can delightfully enrol in this <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">IT and Analytics: Data Analysis, Business Analysis &amp; Data Science </strong> course.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The aim of this exclusive Anaphylaxis: Allergy Awareness course is to help you toward your dream career. So, complete this course and enhance your skills to explore opportunities in relevant areas.</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 Accredited Certificate </h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
        <h4 fr-original-style="" style="box-sizing: border-box;">CPD 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 - 9.99</p></div>

                        </div>

Business Data Analysis

IT and Analytics: Data Analysis, Business Analysis & Data Science - 8 Courses Bundle

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Get ready for an exceptional online learning experience with the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Big Data Analysis &amp; Data Science Diploma </strong>bundle! This carefully curated collection of 20 premium courses is designed to cater to a variety of interests and disciplines. Dive into a sea of knowledge and skills, tailoring your learning journey to suit your unique aspirations.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The Big Data Analysis &amp; Data Science Diploma is a dynamic package, blending the expertise of industry professionals with the flexibility of digital learning. It offers the perfect balance of foundational understanding and advanced insights. Whether you&#39;re looking to break into a new field or deepen your existing knowledge, the<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> Data Analysis &amp; Data Science Diploma </strong>package has something for everyone.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">As part of the Big Data Analysis &amp; Data Science Diploma package, you will receive complimentary PDF certificates for all courses in this bundle at no extra cost. Equip yourself with the Data Analysis &amp; Data Science Diploma bundle to confidently navigate your career path or personal development journey. Enrol today and start your career growth!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This bundle comprises the following courses:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Quality Standards</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> Courses:</strong></p><ol fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">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;">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;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcome:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Gain comprehensive insights into multiple fields.</li><li fr-original-style="" style="box-sizing: border-box;">Foster critical thinking and problem-solving skills across various disciplines.</li><li fr-original-style="" style="box-sizing: border-box;">Understand industry trends and best practices through the<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> Data Analysis &amp; Data Science Diploma</strong> Bundle.</li><li fr-original-style="" style="box-sizing: border-box;">Develop practical skills applicable to real-world situations.</li><li fr-original-style="" style="box-sizing: border-box;">Enhance personal and professional growth with the<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"> Data Analysis &amp; Data Science Diploma.</strong></li><li fr-original-style="" style="box-sizing: border-box;">Build a strong knowledge base in your chosen course via the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis &amp; Data Science Diploma</strong>.</li><li fr-original-style="" style="box-sizing: border-box;">Benefit from the flexibility and convenience of online learning.</li><li fr-original-style="" style="box-sizing: border-box;">With the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis &amp; Data Science Diploma</strong> package, validate your learning with a CPD certificate.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Each course in this bundle holds a prestigious CPD accreditation, symbolising exceptional quality. The materials, brimming with knowledge, are regularly updated, ensuring their relevance. This bundle promises not just education but an evolving learning experience. Engage with this extraordinary collection, and prepare to enrich your personal and professional development.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Embrace the future of learning with the Big Data Analysis &amp; Data Science Diploma, a rich anthology of 15 diverse courses. Each course in the <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Analysis &amp; Data Science Diploma</strong> bundle is handpicked by our experts to ensure a wide spectrum of learning opportunities. ThisBig Data Analysis &amp; Data Science Diploma bundle will take you on a unique and enriching educational journey.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The bundle encapsulates our mission to provide quality, accessible education for all. Whether you are just starting your career, looking to switch industries, or hoping to enhance your professional skill set, the Big Data Analysis &amp; Data Science Diploma bundle offers you the flexibility and convenience to learn at your own pace. Make the Data Analysis &amp; Data Science Diploma package your trusted companion in your lifelong learning journey.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

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

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

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

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
        <h4 fr-original-style="" style="box-sizing: border-box;">Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">You will get a complimentary Hard Copy Certificate.</strong></p></div>

                        </div>

Diploma in Professional Studies (DPS)

Continuous Professional Development (CPD)

Big Data Analysis & Data Science Diploma - 8 Courses Bundle 

<section>
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					<div><p>Deep Learning Heuristics are a powerful tool for solving complex problems. They allow us to find approximate solutions to problems that are too difficult to solve exactly. Heuristics are often used with Deep Learning models to improve performance. R is a popular programming language for statistical computing and graphics. It is a powerful tool for developing and implementing Deep Learning Heuristic.</p><p>Each section of the course is an intriguing journey in itself, designed to cater to your intellectual curiosity while simultaneously equipping you with actionable knowledge and skills. In the agricultural sector, you will analyze data to uncover the effects of climate and other variables on crop production, which is crucial for ensuring food security and sustainability. The course then transports you into the volatile realm of cryptocurrencies, where you will use heuristics to predict market trends and make informed decisions. The energy sector offers a unique challenge, as you will explore ways to optimize consumption and production, thereby contributing to a more sustainable future. In the financial markets section, your analytical skills will be put to the test as you decipher patterns to forecast market movements accurately.</p><p>By the end of this course, you will emerge not just as a proficient user of R but also as a well-rounded professional with a comprehensive understanding of how deep learning heuristics can be leveraged to tackle world problems in various industries. This training is a golden opportunity for anyone passionate about data analysis, problem-solving, and making a significant impact in their respective fields. So, why wait? Join us today and take the first step towards mastering the fascinating world of deep learning heuristic using R.</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
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										<span>Grasp the fundamental concepts of deep learning heuristic.</span>
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										<span>Develop proficiency in R for data analysis.</span>
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										<span>Apply deep learning heuristic to agricultural data.</span>
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										<span>Understand the dynamics of cryptocurrencies through heuristic analysis.</span>
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										<span>Utilize heuristics in solving energy consumption and production problems.</span>
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										<span>Analyze financial market trends using deep learning heuristics.</span>
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										<span>Synthesize knowledge from various sectors to create innovative solutions.</span>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
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										<span>Acquire specialized skills in deep learning heuristics.</span>
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										<span>Enhance your R programming capabilities.</span>
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										<span>Gain insights into multiple sectors including agriculture and finance.</span>
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										<span>Solve complex problems with innovative strategies.</span>
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										<span>Elevate your career in data analytics and problem-solving.</span>
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			<h2> <b>Career Path</b></h2>		</div>
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										<span>Data Analyst</span>
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										<span>Financial Analyst</span>
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										<span>Agricultural Analyst</span>
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										<span>Energy Analyst</span>
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										<span>Cryptocurrency Analyst</span>
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										<span>Heuristics Specialist</span>
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			<h2> <b>Requirements</b></h2>		</div>
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										<span>A foundational understanding of deep learning concepts.</span>
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										<span>Basic knowledge of the R programming language.</span>
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										<span>A keen interest in data analysis and problem-solving.</span>
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		</section><div>
                            <div>
                                <h2>Course Curriculum</h2>
                            </div>
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<div>
<table width="100%">				<tbody><tr>
					<td colspan="4"><strong>Section 01: Experimental Design - Heuristics Project 1-Agriculture</strong></td>
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					<td>▶</td>
					<td>Course Contents</td><td><span>🕐 00:08:00</span></td>
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					<td>▶</td>
					<td>Creating Dataframes</td><td><span>🕐 00:09:00</span></td>
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					<td>▶</td>
					<td>Generating Descriptive</td><td><span>🕐 00:11:00</span></td>
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					<td>▶</td>
					<td>Generating Descriptive Continued</td><td><span>🕐 00:10:00</span></td>
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					<td colspan="4"><strong>Section 02: Experimental Design - Heuristics Project 2-Cryptocurrencies</strong></td>
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					<td>▶</td>
					<td>Setting Directory and Environment</td><td><span>🕐 00:11:00</span></td>
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					<td>▶</td>
					<td>Assigning Variables</td><td><span>🕐 00:09:00</span></td>
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					<td>▶</td>
					<td>Syntax and Command Part 1</td><td><span>🕐 00:09:00</span></td>
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					<td>▶</td>
					<td>Syntax and Command Part 2</td><td><span>🕐 00:10:00</span></td>
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					<td>▶</td>
					<td>Syntax and Command Part 3</td><td><span>🕐 00:07:00</span></td>
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					<td>▶</td>
					<td>Setting Directory and Environment-Cryptocurrencies</td><td><span>🕐 00:09:00</span></td>
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					<td>▶</td>
					<td>Spearman Techniques</td><td><span>🕐 00:08:00</span></td>
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					<td>▶</td>
					<td>Generating Line Graphs</td><td><span>🕐 00:09:00</span></td>
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					<td>▶</td>
					<td>Generating Scatter Plots</td><td><span>🕐 00:10:00</span></td>
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					<td>▶</td>
					<td>Generating Multiple Scatter Plots</td><td><span>🕐 00:10:00</span></td>
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					<td colspan="4"><strong>Section 03: Experimental Design: Heuristics Project 3-Energy Sector</strong></td>
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					<td>▶</td>
					<td>Understanding Regression Modeling Theory</td><td><span>🕐 00:10:00</span></td>
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					<td>▶</td>
					<td>Implementing Linear Regression Modeling</td><td><span>🕐 00:10:00</span></td>
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					<td>▶</td>
					<td>Syntax and Commands</td><td><span>🕐 00:10:00</span></td>
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					<td>▶</td>
					<td>Generating Scatter Plots-Energy Sector</td><td><span>🕐 00:09:00</span></td>
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					<td>▶</td>
					<td>Multiple Scatter Plots</td><td><span>🕐 00:09:00</span></td>
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					<td colspan="4"><strong>Section 04: Experimental Design: Heuristics Project 4-Financial Markets</strong></td>
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					<td>▶</td>
					<td>Creating Dataframes-Financial Markets</td><td><span>🕐 00:08:00</span></td>
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					<td>▶</td>
					<td>Understanding Multiple</td><td><span>🕐 00:09:00</span></td>
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					<td>▶</td>
					<td>Implementing Multiple Regression Model in R</td><td><span>🕐 00:10:00</span></td>
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					<td>▶</td>
					<td>Plot and Draw Line of Fit</td><td><span>🕐 00:10:00</span></td>
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					<td>▶</td>
					<td>Multiple Scatter Plots in a Graphical Frame</td><td><span>🕐 00:07:00</span></td>
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					<td colspan="4"><strong>Resource</strong></td>
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					<td><i></i></td>
					<td>Resource - Essential Training on Deep Learning Heuristic using R</td><td><span>🕐 00:00:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Skill Up

Master Deep Learning Heuristics with R! This course will teach you how to use Deep Learning Heuristics to solve complex problems in Agriculture, Cryptocurrencies, Energy Sector, and Financial Markets. With R, you will be able to develop and implement efficient and scalable solutions.

Essential Training on Deep Learning Heuristic using R

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Step confidently into a rewarding UK career with our transformative "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Bootcamp: JavaScript, HTML &amp; CSS Coding</strong>" bundle. This bundle covers everything from honing your Python proficiency to crafting interactive web designs with HTML and CSS and developing dynamic applications using JavaScript. Uncover the secrets of Python&#39;s application in data science, machine learning, and neural networks. Establish a strong foundation in C# coding and exploring networking, GUI development, XML handling, and more.</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;">Delve into eight immersive CPD Accredited courses, each a standalone course:</strong></p><ul 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;">Course 01: </strong>The Complete Python 3 Course: Beginner to Advanced!<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 02: </strong>JavaScript for Everyone<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 03: </strong>HTML and CSS Coding: Beginner to Advanced<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 04:</strong> Basic C# Coding<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 05:</strong> Python Data Science with Numpy, Pandas and Matplotlib<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 06: </strong>Deep Learning &amp; Neural Networks Python - Keras<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 07: </strong>Complete Python Machine Learning &amp; Data Science Fundamentals<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 08: </strong>Python Programming Bible | Networking, GUI, Email, XML, CGI</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our comprehensive <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Bootcamp: JavaScript, HTML &amp; CSS Coding</strong> bundle ensure you&#39;re well-prepared for diverse tech challenges. Elevate your UK career prospects with hands-on learning and real-world applications. Embrace the "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Bootcamp: JavaScript, HTML &amp; CSS Coding</strong>" bundle for an all-encompassing skill set bound to make you a standout in the dynamic UK job landscape.</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;">Progress from beginner to advanced Python proficiency.</li><li fr-original-style="" style="box-sizing: border-box;">Craft dynamic websites using HTML and CSS.</li><li fr-original-style="" style="box-sizing: border-box;">Develop user-friendly web applications with JavaScript.</li><li fr-original-style="" style="box-sizing: border-box;">Analyze data using Numpy, Pandas, and Matplotlib.</li><li fr-original-style="" style="box-sizing: border-box;">Explore neural networks with Python&#39;s Keras.</li><li fr-original-style="" style="box-sizing: border-box;">Gain practical machine learning expertise.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Unleash your potential with our comprehensive <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Bootcamp: JavaScript, HTML &amp; CSS Coding</strong> bundle that promises to transform your career trajectory. In the rapidly evolving tech landscape, Python proficiency stands as a cornerstone of success. From web development to data analysis and machine learning, Python is the language that opens doors to countless opportunities. Our <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Bootcamp: JavaScript, HTML &amp; CSS Coding</strong> bundle ensures you learn and master Python, securing your place at the forefront of innovation.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Harness the expertise of excellent instructors who unravel the complexities of Python in a relatable and engaging manner. Dive into dynamic web design, crafting seamless interfaces with HTML and CSS, and building interactive web applications using JavaScript.Take the plunge into deep learning, understanding the intricacies of neural networks through Python&#39;s Keras library. As you progress, embrace the fundamental principles of machine learning, propelling your career to new heights.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">The time to seize the moment is now. The "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Bootcamp: JavaScript, HTML &amp; CSS Coding</strong>" bundle equips you with indispensable skills, empowering you to stand out in a competitive job market. Whether a newcomer or a seasoned professional, this <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Bootcamp: JavaScript, HTML &amp; CSS Coding </strong>bundle ensures you&#39;re ready to conquer challenges and grasp opportunities. Embrace the power of Python today, and let it shape a future of endless possibilities.</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;">
                                        80 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;">Beginners to advanced learners.</li><li fr-original-style="" style="box-sizing: border-box;">HTML, CSS, and JavaScript skills.</li><li fr-original-style="" style="box-sizing: border-box;">Master Python programming.</li><li fr-original-style="" style="box-sizing: border-box;">Numpy, Pandas, and data science.</li><li fr-original-style="" style="box-sizing: border-box;">Diverse tech skill acquisition.</li><li fr-original-style="" style="box-sizing: border-box;">Deep learning and machine learning</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Requirements</div>
    </h2>

                        <div id="requirements" fr-original-style="" style="box-sizing: border-box;">
                            <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Without any formal requirements, you can delightfully enrol in this course.</p>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Career path</div>
    </h2>

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Web Developer: &pound;25,000 - &pound;50,000</li><li fr-original-style="" style="box-sizing: border-box;">Python Programmer: &pound;30,000 - &pound;60,000</li><li fr-original-style="" style="box-sizing: border-box;">Data Analyst: &pound;25,000 - &pound;45,000</li><li fr-original-style="" style="box-sizing: border-box;">Front-End Developer: &pound;25,000 - &pound;50,000</li><li fr-original-style="" style="box-sizing: border-box;">UI/UX Designer: &pound;30,000 - &pound;50,000</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning Engineer: &pound;40,000 - &pound;70,000</li><li fr-original-style="" style="box-sizing: border-box;">Full-Stack Developer: &pound;35,000 - &pound;60,000</li></ul>
                        </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>

JavaScript

HTML & CSS

Machine Learning (ML)

CSS (Cascading Style Sheets)

Web Development

HTML

Python

Deep Learning

Python Bootcamp: JavaScript, HTML & CSS Coding - 8 Courses Bundle

<section>
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				<div>
				<div>
					<div><p>Python is a general-purpose programming language that is widely used in data science. It is known for its simplicity, readability, and versatility. In this Python, JavaScript, and Microsoft SQL for Data science course, you will learn the basics of Python, including variables, data types, operators, conditional statements, control flow statements, functions and error handling. You will also learn how to use Python for data science tasks such as cleaning, analysis and visualization.</p><p>JavaScript is a scripting language. It is primarily used for front-end web development. However, it also can be used for data science tasks such as data visualization and data analysis.</p><p>In this course, you will learn the basics of JavaScript, including variables, data types, operators, conditional statements, control flow statements, functions, and error handling. You will also learn how to use JavaScript for data science tasks such as data cleaning and data visualization.</p><p>Microsoft SQL is a relational database management system (RDBMS) that stores, manages, and retrieves data. It is one of the most popular RDBMSs in the world.</p><p>In this course, you will learn the basics of Microsoft SQL, including SQL statements, data manipulation statements, data query statements, and data definition statements. You will also learn to use Microsoft SQL to create, read, update, and delete data from a database.</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Understand the foundational principles of JavaScript, Python, and Microsoft SQL.</span>
									</li>
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											<span>
													</span>
										<span>Develop proficiency in Python's Object Oriented Programming and its applications.</span>
									</li>
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											<span>
													</span>
										<span>Craft and execute advanced MS SQL queries and commands.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Write JavaScript code to create and manipulate web pages</span>
									</li>
								<li>
											<span>
													</span>
										<span>Use Python for data science tasks such as data cleaning, analysis, and visualization</span>
									</li>
								<li>
											<span>
													</span>
										<span>Query and manage data using Microsoft SQL</span>
									</li>
								<li>
											<span>
													</span>
										<span>Develop and design data science solutions</span>
									</li>
						</ul>
				</div>
				</div>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Comprehensive coverage of three primary data science languages.</span>
									</li>
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											<span>
													</span>
										<span>Tailored curriculum to ensure step-by-step progression.</span>
									</li>
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											<span>
													</span>
										<span>Future-proof your skills in an ever-evolving tech landscape.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Position yourself as a versatile coder in the job market.</span>
									</li>
								<li>
											<span>
													</span>
										<span>Transform raw data into insightful conclusions effectively.</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>
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						<div>
				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Career Path</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>Data Scientist</span>
									</li>
								<li>
											<span>
													</span>
										<span>Data Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Machine Learning Engineer</span>
									</li>
								<li>
											<span>
													</span>
										<span>Business Intelligence Analyst</span>
									</li>
								<li>
											<span>
													</span>
										<span>Software Engineer</span>
									</li>
								<li>
											<span>
													</span>
										<span>Web Developer</span>
									</li>
						</ul>
				</div>
				</div>
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		</section>
				<section>
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				<div>
				<div>
			<div>
					<div>
				<div>
				<div>
			<h2> <b>Requirements</b></h2>		</div>
				</div>
				<div>
				<div>
					<ul>
							<li>
											<span>
													</span>
										<span>No prior programming experience is required</span>
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										<span>Access to a computer with an internet connection</span>
									</li>
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											<span>
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										<span>A willingness to learn and practice</span>
									</li>
						</ul>
				</div>
				</div>
						</div>
			</div>
		</div>
						</div>
			</div>
		</section>

Computing Skills

Microsoft SQL

Microsoft AZ-303

Become a data scientist with the in-demand skills of Python, JavaScript, and Microsoft SQL. This comprehensive course will teach you the essential skills you need to succeed.

Learn Python, JavaScript, and Microsoft SQL for Data science

Janets

Tableau Desktop Specialist

Trainers Course

Data Analyst

Data Analytics with Tableau

Online Course Creation

R (programming language)

R Programming for Data Science

<div>
	<h3><b>Course Overview</b></h3>
<p><span>Peek into the world of data science and machine learning with the comprehensive <strong>Data Science &amp; Machine Learning With R in 2021</strong> course. This course will provide you with a detailed understanding of both machine learning and data science. In addition, you will acquire essential skills to pursue a career in this growing industry.</span></p>
<p><span>The <strong>Data Science &amp; Machine Learning With R in 2021</strong> course will teach you the core concept of data science. You will be able to recognize different data types and structures. From the modules, you will receive an introduction to the intermediate R Section. The course will show you the techniques of data manipulation in R. You will know the process of data visualization with R and learn to create reports with R markdown. The Data Science &amp; Machine Learning With R in 2021 course will provide you with an insight into the fundamentals of machine learning. You will understand the principles of data processing, linear regression, logistic regression and more. </span></p>
<p><span>This highly informative <strong>Data Science &amp; Machine Learning With R in 2021</strong> course will equip you with the essential skills of data science. If you desire to become a professional data scientist, this course can be your stepping stone. So, enroll in the course and fast track your career.</span></p>
<h3><b>Learning Outcomes</b></h3>
<ul>
<li><span>Learn the definition of data science </span></li>
<li><span>Understand the basics of machine learning</span></li>
<li><span>Enrich your knowledge of data types and structures</span></li>
<li><span>Know the process of data manipulation in R</span></li>
<li><span>Gain the ability to create reports with R markdown</span></li>
<li><span>Become skilled in building web apps with R shiny</span></li>
</ul>
<h3><b>Who is this course for?</b></h3>
<p><span>Aspiring data scientists or individuals interested in learning data science and machine learning </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><b> </b><span>The <strong>Data Science &amp; Machine Learning With R in 2021</strong></span><b>  </b><span>course is a useful qualification to possess and would be beneficial for any related profession or industry such as:</span></p>
<ul>
<li><span>Data Scientist </span></li>
</ul>
		</div><table width="100%">				<tbody><tr>
					<td colspan="4">Data Science and Machine Learning Course Intro</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Science and Machine Learning Introduction</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is Data Science</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Machine Learning Overview</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Who is This Course for</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Science and Machine Learning Marketplace</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Science and Machine Learning Job Opportunities</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Data Types and Structures in R</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Getting Started</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basics</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Files</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>RStudio</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Tidyverse</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Resources</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Data Types and Structures in R</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Unit Introduction</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basic Type</td>
					<td> </td>
					<td><span><i></i> 00:09:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Vector Part One</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Vectors Part Two</td>
					<td> </td>
					<td><span><i></i> 00:25:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Vectors - Missing Values</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Vectors - Coercion</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Vectors - Naming</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Vectors - Misc</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Matrics</td>
					<td> </td>
					<td><span><i></i> 00:31:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>List</td>
					<td> </td>
					<td><span><i></i> 00:32:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to Data Frames</td>
					<td> </td>
					<td><span><i></i> 00:19:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating Data Frames</td>
					<td> </td>
					<td><span><i></i> 00:20:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Frames: Helper Functions</td>
					<td> </td>
					<td><span><i></i> 00:31:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Frames Tibbles</td>
					<td> </td>
					<td><span><i></i> 00:39:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Intermediate R</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Intermediate Introduction</td>
					<td> </td>
					<td><span><i></i> 00:47:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Relational Operations</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Conditional Statements</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Loops</td>
					<td> </td>
					<td><span><i></i> 00:08:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Functions</td>
					<td> </td>
					<td><span><i></i> 00:14:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Packages</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Factors</td>
					<td> </td>
					<td><span><i></i> 00:28:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Dates and Times</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Functional Programming</td>
					<td> </td>
					<td><span><i></i> 00:37:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Import or Export</td>
					<td> </td>
					<td><span><i></i> 00:22:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Database1</td>
					<td> </td>
					<td><span><i></i> 00:27:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Data Manipulation in R</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Manipulation in R Introduction</td>
					<td> </td>
					<td><span><i></i> 00:36:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Tidy Data</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Pipe Operator</td>
					<td> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Filter Verb</td>
					<td> </td>
					<td><span><i></i> 00:22:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Select Verb</td>
					<td> </td>
					<td><span><i></i> 00:46:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Mutate Verb</td>
					<td> </td>
					<td><span><i></i> 00:32:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Arrange Verb</td>
					<td> </td>
					<td><span><i></i> 00:10:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Summarize Verb</td>
					<td> </td>
					<td><span><i></i> 00:23:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Pivoting</td>
					<td> </td>
					<td><span><i></i> 00:43:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>JSON Parsing</td>
					<td> </td>
					<td><span><i></i> 00:11:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>String Manipulation</td>
					<td> </td>
					<td><span><i></i> 00:33:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Web Scraping</td>
					<td> </td>
					<td><span><i></i> 00:59:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Data Visualization in R</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Visualization in R Section Intro</td>
					<td> </td>
					<td><span><i></i> 00:17:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Getting Started</td>
					<td> </td>
					<td><span><i></i> 00:16:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Aesthetics Mappings</td>
					<td> </td>
					<td><span><i></i> 00:25:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Single Variable Plots</td>
					<td> </td>
					<td><span><i></i> 00:37:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Two Variable Plots</td>
					<td> </td>
					<td><span><i></i> 00:21:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Facets, Layering, and Coordinate Systems</td>
					<td> </td>
					<td><span><i></i> 00:18:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Styling and Saving</td>
					<td> </td>
					<td><span><i></i> 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Creating Reports with R Markdown</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Creating with R Markdown</td>
					<td> </td>
					<td><span><i></i> 00:29:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Building Webapps with R Shiny</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Introduction to R Shiny</td>
					<td> </td>
					<td><span><i></i> 00:26:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>A Basic R Shiny App</td>
					<td> </td>
					<td><span><i></i> 00:31:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Other Examples with R Shiny</td>
					<td> </td>
					<td><span><i></i> 00:34:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Introduction to Machine Learning</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Machine Learning Part 1</td>
					<td> </td>
					<td><span><i></i> 00:22:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Machine Learning Part 2</td>
					<td> </td>
					<td><span><i></i> 00:47:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Starting A Career in Data Science</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Starting a Data Science Career Section Overview</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Data Science Resume</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Getting Started with Freelancing</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Top Freelance Websites</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Personal Branding</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Importance of Website and Blo</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Networking Do's and Don'ts</td>
					<td> </td>
					<td><span><i></i> 00:04:00</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

Data Science & Machine Learning With R in 2021

<div>
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					</div>
				</div>
						</div>
					</div>
		</div>
								</div>
					</div>
		</section>
							</div>
				</div>
			<p>Are interested in understanding and protecting big data? Do you want to utilize any data that have been presented to you to its full extent? This Bundle Course will solve all of your problems!<strong> </strong></p>
<p><span>Interpreting data is of immense importance when you handling data. Only then you can fully use it to your business. At the same time when you use data online, there is always a chance that your data can be stolen. Learn how to protect your information in this data bundle course. Make you own database and reap its benefits. </span><span>In this course, you will know how to create your database and database user.You will then master how to import database tables since most new scripts come with a built-in installer, the scripts create all database, but when the time comes that there is no installer provided, then you have to create one manually. Upon completion of the course the students will possess a solid knowledge of data protection law, as well as an understanding of the practical implications for different organisations.</span></p>
<h3><b>Course Highlights</b></h3>
<p><b>Data Bundle Course</b> is an award winning and the best selling <b></b> course that has been given the CPD Certification &amp; IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector.</p>
<p>It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed <b>Data Bundle Course</b> into <b>several</b> modules for teaching you everything you need to become successful in this profession.</p>
<p>To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just <b>20/30</b> hours and it is also possible to study at your own pace.</p>
<p>We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email.</p>
<p>For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website.</p>
<h3><b>Why You Should Choose</b><b> Data Bundle Course</b></h3>
<ul>
<li>Lifetime access to the course</li>
<li>No hidden fees or exam charges</li>
<li>CPD Accredited certification on successful completion</li>
<li>Full Tutor support on weekdays (Monday - Friday)</li>
<li>Efficient exam system, assessment and instant results</li>
<li>Download Printable PDF certificate immediately after completion</li>
<li>Obtain the original print copy of your certificate, dispatch the next working day for as little as £9.</li>
<li>Improve your chance of gaining professional skills and better earning potential.</li>
</ul>
<h3><b>Who is this Course for?</b></h3>
<p><b>Data Bundle Course </b>is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills.</p>
<p>As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds.</p>
<h3><b>Requirements</b></h3>
<p>Our<b> Data Bundle Course</b> is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation.</p>
<h3><b>Career Path</b></h3>
<p>You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume.</p><table>				<tbody><tr>
					<td colspan="4">Module 1: Database Basics</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is a Database</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Definition of Terms</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Database Users and Languages</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Components of a Database System</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Basic Set Concepts</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Relations as a Database</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Relational Database Operators</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Database keys</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 2: Understanding Big Data</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What Is Big Data? Hint: You're a Part of It Every Day</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why Is Big Data Important?</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why IBM for Big Data?</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>All About Hadoop: The Big Data Lingo Chapter</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>InfoSphere BigInsights: Analytics for Big Data at Rest</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>IBM InfoSphere Streams: Analytics for Big Data in Motion</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Module 3: Data Protection</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why Internet Marketers Need More Protection</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>You Can't Be Anonymous</td>
					<td><span>FREE</span> </td>
					<td><span><i></i> 00:15:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Start With Basic Security Measures</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Using Disclaimers</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Proper Use Of Email</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Protecting Product Rights</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Protecting Your Website</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Terms Of Use Or Service</td>
					<td> </td>
					<td><span><i></i> 00:30:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Privacy Policy</td>
					<td> </td>
					<td><span><i></i> 01:00:00</span></td>
				</tr>
				</tbody></table>

iStudy UK

AWS Certified Database

Big Data

Data Bundle Course

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

Nexus Human

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-700

DP-203T00 Data Engineering on Microsoft Azure

<p><strong>24 Hour Flash Deal **25-in-1 </strong><strong>Data Engineering Advanced Diploma </strong><strong>Mega Bundle**</strong></p><p><strong> </strong><strong>Data Engineering Advanced Diploma </strong><strong>Enrolment Gifts  **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter **</strong></p><p>Take the initial steps toward a successful long-term career by studying the <strong>Data Engineering Advanced Diploma</strong> package online with <strong>Studyhub </strong>through our online learning platform. The Data Engineering Advanced Diploma bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass.</p><p>This <strong>Data Engineering Advanced Diploma </strong>course provides complete 360-degree training on Data Engineering Advanced Diploma. You'll get not one, not two, not three, but <strong>twenty-five </strong>Data Engineering Advanced Diploma courses included in this course. Plus Studyhub's signature <strong>Forever Access</strong> is given as always, meaning these Data Engineering Advanced Diploma courses are yours for as long as you want them once you enrol in this course</p><p><strong>This Data Engineering Advanced Diploma Bundle consists the following career oriented courses:</strong></p><ul><li>Course 01: Data Analysis</li><li>Course 02: Data Science &amp; Machine Learning with R</li><li>Course 03: Data Analytics with Tableau</li><li>Course 04: SQL Programming</li><li>Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</li><li>Course 06: Data Analytics</li><li>Course 07: Python Data Science with Numpy, Pandas and Matplotlib</li><li>Course 08: Google Analytics</li><li>Course 09: Business Intelligence and Data Mining</li><li>Course 10: Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li>Course 11: JavaScript Functions</li><li>Course 12: Data Protection and Data Security (GDPR) Training Certification</li><li>Course 13: GDPR Training</li><li>Course 14: Diploma in Python Programming</li><li>Course 15: Data Center Training Essentials: General Introduction</li><li>Course 16: Quick Data Science Approach from Scratch</li><li>Course 17: Diploma in Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li>Course 18: Master JavaScript with Data Visualization</li><li>Course 19: Data Analysis and Forecasting in Excel</li><li>Course 20: AWS Certified Solutions Architect Associate Preparation</li><li>Course 21: Statistical Analysis Course</li><li>Course 22: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 23: Learn MySQL from Scratch for Data Science and Analytics</li><li>Course 24: Data Analysis &amp; Forecasting</li><li>Course 25: Data Structure</li></ul> <p>The <strong>Data Engineering Advanced Diploma </strong>course has been prepared by focusing largely on Data Engineering Advanced Diploma career readiness. It has been designed by our Data Engineering Advanced Diploma specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners.</p><p>The Data Engineering Advanced Diploma Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Data Engineering Advanced Diploma bundle course has been created with <strong>twenty-five </strong>premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field.</p><p>This Data Engineering Advanced Diploma Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Data Engineering Advanced Diploma Elementary modules, allowing our students to grasp each lesson quickly.</p><p>The Data Engineering Advanced Diploma course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc.</p><p><strong>In this exclusive </strong><strong>Data Engineering Advanced Diploma </strong><strong>bundle, you really hit the jackpot. Here's what you get:</strong></p><ul><li>Step by step Data Engineering Advanced Diploma lessons</li><li>One to one assistance from Data Engineering Advanced Diplomaprofessionals if you need it</li><li>Innovative exams to test your knowledge after the Data Engineering Advanced Diplomacourse</li><li>24/7 customer support should you encounter any hiccups</li><li>Top-class learning portal</li><li>Unlimited lifetime access to all twenty-five Data Engineering Advanced Diploma courses</li><li>Digital Certificate, Transcript and student ID are all included in the price</li><li>PDF certificate immediately after passing</li><li>Original copies of your Data Engineering Advanced Diploma certificate and transcript on the next working day</li><li>Easily learn the Data Engineering Advanced Diploma skills and knowledge you want from the comfort of your home</li></ul> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>This <strong>Data Engineering Advanced Diploma </strong>training is suitable for -</p><ul><li>Students</li><li>Recent graduates</li><li>Job Seekers</li><li>Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Data Engineering Advanced Diploma</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>To participate in this <strong>Data Engineering Advanced Diploma </strong>course, all you need is -</p><ul><li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in Data Engineering Advanced Diploma</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>You will be able to kickstart your <strong>Data Engineering Advanced Diploma </strong>career because this course includes various courses as a bonus. This Data Engineering Advanced Diploma is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Data Engineering Advanced Diploma career opportunities.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Accredited Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><ul><li>CPD Accredited e-Certificate - Free</li><li>CPD Accredited Hardcopy Certificate - Free</li><li>Enrolment Letter - Free</li><li>Student ID Card - Free</li></ul></div>

                        </div>

Studyhub UK

Diploma in Education & Training (DET)

European Computer Driving Licence (ECDL)

Diploma in Management Studies (DMS)

Nursing Diploma

Data Engineering Advanced Diploma - CPD Certified

<p><strong>24 Hours Left! Don't Let Winter Sale Slip Away - Enrol Now!</strong></p><p><strong>With over 100,000 civil engineers in the UK, the demand for data-savvy professionals is high. According to a recent study, 72% of UK civil engineering firms are investing in data analytics to enhance decision-making processes, with data engineering experiencing a 40% year-on-year growth.</strong></p><p>This surge outpaces other tech sectors, highlighting the critical role of data engineers in big data and advanced analytics. This Data Engineering bundle empowers you to capitalise on this growing trend, equipping you with the proficiency to extract valuable insights from vast datasets, optimise project planning, and enhance overall efficiency.</p><p>Embark on a transformative journey with our Data Engineering Bundle, thoroughly crafted to bridge the skill gap in one of the UK's fastest-growing job markets. Our bundle offers a comprehensive exploration into the world of data, equipping you with the analytical prowess to harness, process, and visualise data effectively. From mastering SQL programming to delving into the complexities of machine learning with R, this bundle is your gateway to becoming a data engineering maestro.</p><p>In today's data-driven landscape, possessing a robust set of analytical skills is no longer a luxury but a necessity. With an emphasis on Data engineering, our courses are designed to foster a deep understanding of data analytics, visualisation, and mining, ensuring you can convert raw data into strategic insights that propel business decisions.</p><p>Seize the opportunity to be at the helm of innovation and become the architect of tomorrow's data landscape with our Data Engineering Bundle. Join us now!</p><p><strong>Courses are Included in This Data Engineering Bundle:</strong></p><ul><li><strong> Course 01: </strong>Introduction to Data Analysis</li><li><strong> Course 02: </strong>Data Science &amp; Machine Learning with R</li><li><strong> Course 03: </strong>Data Analytics with Tableau</li><li><strong> Course 04: </strong>SQL Programming Masterclass</li><li><strong> Course 05: </strong>Excel Pivot table for Data analytics</li><li><strong> Course 06: </strong>Data analytics with Excel</li><li><strong> Course 07: </strong>Python for Data Analysis</li><li><strong> Course 08: </strong>Basic Google Data Studio</li><li><strong> Course 09: </strong>Business Intelligence and Data Mining Masterclass</li><li><strong> Course 10: </strong>Microsoft Excel: Automated Dashboard Using Advanced Formula, VBA, Power Query</li><li><strong> Course 11: </strong>JavaScript Functions for Data Analyst</li><li><strong> Course 12: </strong>GDPR Data Protection Level 5</li><li><strong> Course 13: </strong>GDPR Training</li><li><strong> Course 14: </strong>Learn Programming with Python</li><li><strong> Course 15: </strong>Data Center Training Essentials: General Introduction</li><li><strong> Course 16: </strong>Quick Data Science Approach from Scratch</li><li><strong> Course 17: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong> Course 18: </strong>Master JavaScript with Data Visualization</li><li><strong> Course 19: </strong>Excel Data Tools and Data Management</li><li><strong> Course 20: </strong>Cloud Computing Essentials for Data Analysis</li></ul><p><strong>Learning Outcomes of Data Engineering Bundle:</strong></p><ul><li>Gain proficiency in SQL for complex database management and analytics tasks.</li><li>Master R for data science and machine learning applications in various industries.</li><li>Develop advanced Excel skills, including data analytics and pivot table expertise.</li><li>Acquire hands-on experience with Tableau for effective data visualisation.</li><li>Learn Python programming essentials for data analysis and engineering solutions.</li><li>Understand Google Data Studio to create dynamic reports and dashboards.</li></ul><p><strong>Why Choose Our Data Engineering Course?</strong></p><ul><li>FREE Data Engineering certificate accredited</li><li>Get a free student ID card with Data Engineering Training</li><li>Get instant access to this Data Engineering course.</li><li>Learn Data Engineering from anywhere in the world</li><li>The Data Engineering is affordable and simple to understand</li><li>The Data Engineering is an entirely online, interactive lesson with voiceover audio</li><li>Lifetime access to the Data Engineering course materials</li><li>The Data Engineering comes with 24/7 tutor support</li></ul> <p><strong>Start your learning journey straightaway with our Data Engineering Bundle!</strong></p><p>This Data Engineering bundle will equip you with the skills and knowledge to become a data-savvy civil engineer. You will learn how to collect, analyze, and interpret data to improve infrastructure projects and processes. This Data Engineering bundle includes courses on data analysis, data science, machine learning, SQL programming, Excel pivot tables, Excel data analytics, Python for data analysis, Google Data Studio, business intelligence, data mining, GDPR data protection, JavaScript functions for data analysts, and Python programming.</p><p><strong>Assessment Process of Data Engineering</strong></p><p>Once you have completed all the courses in the Data Engineering bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.</p> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>This Data Engineering bundle is suitable for everyone. Also, our Data Engineering Bundle is perfect for:</p><ul><li>Aspiring data engineers</li><li>Business intelligence analysts</li><li>Data-driven marketers</li><li>IT professionals</li><li>Statistics 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 in the Data Engineering Bundle.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Data Engineering bundle will allow you to kickstart or take your career to the next stage in the related sector such as:</p><ul><li><strong>Data Analyst</strong></li><li><strong>BI Developer</strong></li><li><strong>ML Engineer</strong></li><li><strong>Data Scientist</strong></li><li><strong>Database Administrator</strong></li><li><strong>Data Strategist</strong></li></ul>
                        </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>

Academy for Health and Fitness

Data Engineering - CPD Certified

<p>If you aim to enhance your Data Engineering skills, our comprehensive Data Engineering course is perfect for you. Designed for success, this Data Engineering course covers everything from basics to advanced topics in Data Engineering.</p><p>Each lesson in this Data Engineering course is crafted for easy understanding, enabling you to become proficient in Data Engineering. Whether you are a beginner or looking to sharpen your existing skills, this Data Engineering is the ideal choice.</p><p>With our Data Engineering exclusive bundle, you will get<strong> a PDF Certificate, PDF Transcript and Digital Student ID Card (worth £50) Absolutely FREE. </strong></p><p><strong>Courses are Included in This Data Engineering Bundle:</strong></p><ul><li><strong>Course 01: </strong>Diploma in Data Analysis Fundamentals</li><li><strong>Course 02: </strong>Python for Data Analysis</li><li><strong>Course 03: </strong>Data Analytics with Tableau</li><li><strong>Course 04: </strong>SQL Masterclass: SQL For Data Analytics</li><li><strong>Course 05: </strong>Basic Google Data Studio</li><li><strong>Course 06: </strong>Data Analysis and Forecasting in Excel</li></ul><p><strong>Why Choose Our Data Engineering Course?</strong></p><ul><li>FREE Data Engineering certificate accredited</li><li>Get a free student ID card with Data Engineering Training</li><li>Get instant access to this Data Engineering course.</li><li>Learn Data Engineering from anywhere in the world</li><li>The Data Engineering is affordable and simple to understand</li><li>The Data Engineering is an entirely online, interactive lesson with voiceover audio</li><li>Lifetime access to the Data Engineering course materials</li><li>The Data Engineering comes with 24/7 tutor support</li></ul><p>So enrol now in this Data Engineering Today to advance your career!</p> <p>Start your learning journey straightaway!</p><p>This Data Engineering's curriculum has been designed by Data Engineering experts with years of Data Engineering experience behind them. The Data Engineering course is extremely dynamic and well-paced to help you understand Data Engineering with ease. You'll discover how to master the Data Engineering skill while exploring relevant and essential topics.</p><p><strong>Assessment Process</strong></p><p>Once you have completed all the courses in the Data Engineering bundle, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards.</p> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>This Data Engineering bundle is suitable for everyone.</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

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

                        <div id="career_path">
                            <p>This Data Engineering bundle will allow you to kickstart or take your career in the related sector to the next stage.</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 -
            £29
        </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>

                        </div>

Certificate in Further Education & Training (Cert Ed)

Certified in Data Protection (CDP)

Data Engineering (Online) - CPD Certified

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p></p><p>This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.</p><p></p>Overview<p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.</p><p></p><p>Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow.</p><p></p>Prerequisites<p></p><li>Creating cloud resources in Microsoft Azure.</li>  <li>Using Python to explore and visualize data.</li>  <li>Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.</li>  <li>Working with containers</li>  <li>AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience.</li><p></p></div><div id="course-pills-2"><h3>1 - Design a data ingestion strategy for machine learning projects</h3> <ul> <li>Identify your data source and format</li> <li>Choose how to serve data to machine learning workflows</li> <li>Design a data ingestion solution</li> </ul> <h3>2 - Design a machine learning model training solution</h3> <ul> <li>Identify machine learning tasks</li> <li>Choose a service to train a machine learning model</li> <li>Decide between compute options</li> </ul> <h3>3 - Design a model deployment solution</h3> <ul> <li>Understand how model will be consumed</li> <li>Decide on real-time or batch deployment</li> </ul> <h3>4 - Design a machine learning operations solution</h3> <ul> <li>Explore an MLOps architecture</li> <li>Design for monitoring</li> <li>Design for retraining</li> </ul> <h3>5 - Explore Azure Machine Learning workspace resources and assets</h3> <ul> <li>Create an Azure Machine Learning workspace</li> <li>Identify Azure Machine Learning resources</li> <li>Identify Azure Machine Learning assets</li> <li>Train models in the workspace</li> </ul> <h3>6 - Explore developer tools for workspace interaction</h3> <ul> <li>Explore the studio</li> <li>Explore the Python SDK</li> <li>Explore the CLI</li> </ul> <h3>7 - Make data available in Azure Machine Learning</h3> <ul> <li>Understand URIs</li> <li>Create a datastore</li> <li>Create a data asset</li> </ul> <h3>8 - Work with compute targets in Azure Machine Learning</h3> <ul> <li>Choose the appropriate compute target</li> <li>Create and use a compute instance</li> <li>Create and use a compute cluster</li> </ul> <h3>9 - Work with environments in Azure Machine Learning</h3> <ul> <li>Understand environments</li> <li>Explore and use curated environments</li> <li>Create and use custom environments</li> </ul> <h3>10 - Find the best classification model with Automated Machine Learning</h3> <ul> <li>Preprocess data and configure featurization</li> <li>Run an Automated Machine Learning experiment</li> <li>Evaluate and compare models</li> </ul> <h3>11 - Track model training in Jupyter notebooks with MLflow</h3> <ul> <li>Configure MLflow for model tracking in notebooks</li> <li>Train and track models in notebooks</li> </ul> <h3>12 - Run a training script as a command job in Azure Machine Learning</h3> <ul> <li>Convert a notebook to a script</li> <li>Run a script as a command job</li> <li>Use parameters in a command job</li> </ul> <h3>13 - Track model training with MLflow in jobs</h3> <ul> <li>Track metrics with MLflow</li> <li>View metrics and evaluate models</li> </ul> <h3>14 - Perform hyperparameter tuning with Azure Machine Learning</h3> <ul> <li>Define a search space</li> <li>Configure a sampling method</li> <li>Configure early termination</li> <li>Use a sweep job for hyperparameter tuning</li> </ul> <h3>15 - Run pipelines in Azure Machine Learning</h3> <ul> <li>Create components</li> <li>Create a pipeline</li> <li>Run a pipeline job</li> </ul> <h3>16 - Register an MLflow model in Azure Machine Learning</h3> <ul> <li>Log models with MLflow</li> <li>Understand the MLflow model format</li> <li>Register an MLflow model</li> </ul> <h3>17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning</h3> <ul> <li>Understand Responsible AI</li> <li>Create the Responsible AI dashboard</li> <li>Evaluate the Responsible AI dashboard</li> </ul> <h3>18 - Deploy a model to a managed online endpoint</h3> <ul> <li>Explore managed online endpoints</li> <li>Deploy your MLflow model to a managed online endpoint</li> <li>Deploy a model to a managed online endpoint</li> <li>Test managed online endpoints</li> </ul> <h3>19 - Deploy a model to a batch endpoint</h3> <ul> <li>Understand and create batch endpoints</li> <li>Deploy your MLflow model to a batch endpoint</li> <li>Deploy a custom model to a batch endpoint</li> <li>Invoke and troubleshoot batch endpoints</li> </ul></div>

Azure Machine Learning

DP-100T01 Designing and Implementing a Data Science Solution on Azure

<p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">✿ 17</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&nbsp;in 1 "Data Engineering: Big Data &amp; Google Cloud Architect" CPD Certified Diploma ✿</strong></p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Are you interested in pursuing a career in data analysis? Do you want to gain the skills and knowledge necessary to excel in the field of data analytics? Look no further! Our comprehensive&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect Diploma</strong>&nbsp;bundle offers a thorough overview of the essential concepts, techniques, and tools required to succeed in this exciting and rapidly growing field.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect Diploma training offers :</strong></p><ul style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">17&nbsp;</strong>Free PDF Certificates</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Lifetime&nbsp;</strong>Access</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">24/7</strong>&nbsp;Learner Support</li></ul><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">Enter into the world of data engineering with our "<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>" bundle. Designed for both beginner and those with foundational knowledge, this Data Engineering: Big Data &amp; Google Cloud Architect bundle will elevate your understanding of big data and cloud architecture. With the proliferation of data in today&#39;s digital landscape, mastering these skills is crucial for anyone aiming to make a significant impact in the tech industry.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">The&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect&nbsp;</strong>diploma training provides a comprehensive curriculum that covers everything from the basics of data engineering to advanced topics in Google Cloud, Big Query, Data Structures, SQL/MySQL Database etc. Through engaging modules, you&#39;ll gain insight into the intricacies of data processing, storage solutions, and cloud infrastructure.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">By completing this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect&nbsp;</strong>training, you&#39;ll be equipped with the knowledge needed to architect robust data solutions using Google Cloud. You&#39;ll understand the principles behind big data management and how to apply them in real-world contexts. Whether you&#39;re looking to enhance your career prospects or pivot into a new field, this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;bundle offers the tools and understanding required to succeed in the ever-evolving data engineering landscape.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect Bundle Consists the Following Courses:</strong></p><ol style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;">Data Engineering: Google Big Query &amp; Google Cloud</li><li fr-original-style="" style="box-sizing: border-box;">Mastering MySQL Database Development</li><li fr-original-style="" style="box-sizing: border-box;">Data Analytics with Tableau</li><li fr-original-style="" style="box-sizing: border-box;">Data Structures : Easy to Advanced</li><li fr-original-style="" style="box-sizing: border-box;">JavaScript for Data Structures</li><li fr-original-style="" style="box-sizing: border-box;">SQL Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Microsoft SQL Queries</li><li fr-original-style="" style="box-sizing: border-box;">Python Programming Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Python Data Science - For Beginners</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning in Flutter: Complete Guide</li><li fr-original-style="" style="box-sizing: border-box;">Data Science &amp; Machine Learning with R Complete Training</li><li fr-original-style="" style="box-sizing: border-box;">Python: Higher Order Functions</li><li fr-original-style="" style="box-sizing: border-box;">Linux File System</li><li fr-original-style="" style="box-sizing: border-box;">LabVIEW &ndash; Step By Step Beginners Guide</li><li fr-original-style="" style="box-sizing: border-box;">SQL NoSQL Big Data and Hadoop All in One Course</li><li fr-original-style="" style="box-sizing: border-box;">Basic Data Analysis Training</li><li fr-original-style="" style="box-sizing: border-box;">Data Analysis: Getting Results with PowerBI</li></ol><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes of Data Engineering: Big Data &amp; Google Cloud Architect Diploma</strong></p><ul style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;">Understand the fundamentals of data engineering.</li><li fr-original-style="" style="box-sizing: border-box;">Gain proficiency in Google Cloud Platform services.</li><li fr-original-style="" style="box-sizing: border-box;">Master techniques for big data processing.</li><li fr-original-style="" style="box-sizing: border-box;">Learn to design scalable data architecture.</li><li fr-original-style="" style="box-sizing: border-box;">Implement effective data storage solutions.</li><li fr-original-style="" style="box-sizing: border-box;">Analyse and optimise data workflows.</li><li fr-original-style="" style="box-sizing: border-box;">Develop skills in managing cloud-based data systems.</li><li fr-original-style="" style="box-sizing: border-box;">Comprehend security measures for data protection.</li><li fr-original-style="" style="box-sizing: border-box;">Explore methods for data integration and migration.</li><li fr-original-style="" style="box-sizing: border-box;">Apply knowledge to design and implement data solutions.</li></ul><h2 fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted">Certificates</h2><div fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;"><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Digital Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This bundle comes with a free <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited PDF Copy certificate+ Transcript&nbsp;</strong>(according to the Learner&#39;s Choice). For additional courses, it costs <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;14.99</strong> per copy.</p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Hard Copy Certificate</strong></p><p fr-original-style=" color: var(--text);" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Get <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited Hard Copy certificate</strong> for <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;19.99</strong> per copy. The delivery fee for the Hard Copy certificate, however, is free for UK residents, whereas it costs <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;10</strong> for international students as delivery charge.</p><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;diploma training is open to everyone. Specially designed for:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Aspiring data engineers.</li><li fr-original-style="" style="box-sizing: border-box;">IT professionals seeking to specialise in data engineering.</li><li fr-original-style="" style="box-sizing: border-box;">Individuals interested in big data technologies.</li><li fr-original-style="" style="box-sizing: border-box;">Those aiming to understand Google Cloud architecture.</li><li fr-original-style="" style="box-sizing: border-box;">Career changers looking to enter the tech industry.</li></ul></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">For this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;bundle, you don&#39;t need any formal qualifications.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Take your time to finish this Data Science Engineering: Data Analytics &amp; Database Management training, there is no deadline for the bundle.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 style="color: var(--bs-heading-color); box-sizing: border-box;" fr-original-style=" color: var(--bs-heading-color);">Career path</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Engineering: Big Data &amp; Google Cloud Architect</strong>&nbsp;training can lead you towards successful careers in these related fields. Such as:</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Data Engineer: &pound;40,000 - &pound;70,000</li><li fr-original-style="" style="box-sizing: border-box;">Cloud Solutions Architect: &pound;50,000 - &pound;90,000</li><li fr-original-style="" style="box-sizing: border-box;">Big Data Analyst: &pound;35,000 - &pound;60,000</li><li fr-original-style="" style="box-sizing: border-box;">Data Architect: &pound;60,000 - &pound;100,000</li><li fr-original-style="" style="box-sizing: border-box;">Business Intelligence Developer: &pound;40,000 - &pound;75,000</li><li fr-original-style="" style="box-sizing: border-box;">Machine Learning Engineer: &pound;50,000 - &pound;85,000</li></ul></section></div>

Google Cloud

CPD Certified | 17-in-1 Diploma Bundle | 170 CPD Points | Free PDF & Transcript Certificate | Lifetime Access


Data Engineering: Big Data & Google Cloud Architect Diploma - CPD Certified


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					<div><p>Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this step-by-step Data Engineering : Google BigQuery &amp; Google Cloud training course. This Data Engineering : Google BigQuery &amp; Google Cloud course for Consistent Profits has been specially designed to help learners gain a good command of Data Engineering : Google BigQuery &amp; Google Cloud, providing them with a solid foundation of knowledge to understand relevant professionals' job roles.</p><p>Through this Data Engineering : Google BigQuery &amp; Google Cloud course, you will gain a theoretical understanding of Data Engineering : Google BigQuery &amp; Google Cloud and others relevant subjects that will increase your employability in this field, help you stand out from the competition, and boost your earning potential in no time.</p><p>Not only that, but this Data Engineering : Google BigQuery &amp; Google Cloud training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry. </p><p>This course is fully CPD-accredited and broken down into several manageable modules, making it ideal for aspiring professionals.</p></div>
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			<h2><b> Learning outcome</b></h2>		</div>
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                                <h2>Course Curriculum</h2>
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					<td>Module 01: Welcome to This Course</td><td><span>🕐 00:01:00</span></td>
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					<td colspan="4"><strong>Unit 02: Introducing Data Warehouse &amp; BigQuery</strong></td>
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					<td colspan="4"><strong>Unit 03: First Exploration</strong></td>
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					<td>▶</td>
					<td>Module 01: Data Quality</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Clean &amp; Transform</td><td><span>🕐 00:13:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Store Data</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Upgrading From Sandbox Account</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 05: Clean &amp; Transform With Dataprep</td><td><span>🕐 00:25:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 06: Scheduled Query</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 07: Analyze Data</td><td><span>🕐 00:05:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 08: Data Visualization</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 04: Data Flow BasicUnit 05: Diving into BigQuery</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Essential BigQuery</td><td><span>🕐 00:15:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Load Data into BigQuery (Part 1) - The Basic</td><td><span>🕐 00:36:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Tip: Mock Data</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Load Data into BigQuery (Part 2) - Handling Errors</td><td><span>🕐 00:22:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 05: Load Data into BigQuery (Part 3) - Efficient Load</td><td><span>🕐 00:14:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 06: Load Data into BigQuery (Part 4) - From Your Data to BigQuery</td><td><span>🕐 00:23:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 07: Load Data into BigQuery (Part 5) - In Microservice Architecture</td><td><span>🕐 00:20:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 08: Tip: Message Broker Overview</td><td><span>🕐 00:08:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 09: Load Data into BigQuery (Part 6) - Recurring Load</td><td><span>🕐 00:12:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 06: Virtual Data using View</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: BigQuery View</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 07: Data Visualization</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: What We Will Learn</td><td><span>🕐 00:01:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Google Sheets &amp; BigQuery</td><td><span>🕐 00:10:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Google Data Studio</td><td><span>🕐 00:13:00</span></td>
				</tr>
								<tr>
					<td colspan="4"><strong>Unit 08: Intermediate Query</strong></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 01: Using Join - Theory</td><td><span>🕐 00:04:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 02: Using Join - Hands On</td><td><span>🕐 00:16:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 03: Union &amp; Intersect</td><td><span>🕐 00:06:00</span></td>
				</tr>
								<tr>
					<td>▶</td>
					<td>Module 04: Basic Statistical Functions</td><td><span>🕐 00:05:00</span></td>
				</tr>
				</tbody></table></div>

			</div>
		                        </div>

Online Course Marketing

Digital Skills

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

Data Engineering : Google BigQuery & Google Cloud

<p><strong>Develop in-demand skills for a better future with a super-saver bundle just </strong><strong>£129</strong><strong> and instantly save </strong><strong>£1570</strong><strong>!</strong></p><p><strong>This bundle includes 1 best selling course endorsed by the Quality Licence Scheme with 4 additional CPD-accredited courses, expert assistance and course assessment. Enjoy 12 months of access to this bundle of courses FREE of charge and master a range of in-demand professional skills to advance your career. No hidden costs - simply enrol this Data Engineering with Google BigQuery &amp; Google Cloud bundle.</strong></p><p>This Course package includes:</p><ul><li>Data Engineering with Google BigQuery &amp; Google Cloud with endorsed certificate</li><li>4 additional CPD accredited courses -<br /><ol><li>Linux for Cloud and DevOps Engineers</li><li>SQL NoSQL Big Data and Hadoop</li><li>Linux Shell Scripting</li><li>Linux Security and Hardening</li></ol></li></ul><p>Dedicated tutor support and 24/7 customer support are available to all students with this premium quality bundle. Get the help you require and the answers to all your queries throughout the comprehensive syllabus of this Data Engineering with Google BigQuery &amp; Google Cloud bundle.</p><p>This premium online course ensures your professional development with endorsement from Quality Licence Scheme and also CPD accreditation. You'll have the privilege of learning in your own time, at your own pace and earning an accredited certification.</p><p>With this bundle program, success becomes a lot easier that enables you to monetise your skills. This Data Engineering with Google BigQuery &amp; Google Cloud bundle is designed for both part-time and full-time students and can be completed at a pace that suits your learning style.</p><p><strong>Why People Enrol this Bundle from One Education:</strong></p><ul><li>Receive a Quality Licence Scheme-endorsed certificate upon successful completion of the bundle</li><li>4 additional CPD accredited courses to enrich your knowledge and skills</li><li>Learning materials of our Course contains engaging voiceover and visual elements for your comfort</li><li>Get 24/7 access to all bundle content for a full year</li><li>Complete the Course at your own pace</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li><li>Efficient assessments and instant results upon completion of our Course</li></ul><p><strong>Course Curriculum:</strong></p><p>Here is a curriculum breakdown of the course:</p><ul><li>Unit 01: Introduction</li><li>Unit 02: Introducing Data Warehouse &amp; BigQuery</li><li>Unit 03: First Exploration</li><li>Unit 04: Data Flow Basic</li><li>Unit 05: Diving into BigQuery</li><li>Unit 06: Virtual Data using View</li><li>Unit 07: Data Visualization</li><li>Unit 08: Intermediate Query</li></ul><p><strong>How is the Course assessed?</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 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 claim a certificate endorsed by the Quality Licence Scheme.</p><p><strong>Certificate of Achievement</strong></p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme</strong></p><p>After successfully completing the Course, learners will get an endorsed certificate (included with the course) delivered right at their doorstep by post, without paying a single penny! Note that learners residing outside the UK have to pay a £10 postage charge.</p><p><strong>For Additional Courses</strong></p><p>For the additional Quality Licence Scheme endorsed certificates from the additional courses, you have to pay the fees based on level of each course:</p><ul><li>No Level- £29</li><li>Level 1 - £29</li><li>Level 2 - £59</li><li>Level 3 - £69</li><li>Level 4 - £79</li><li>Level 5 - £99</li><li>Level 6 - £109</li><li>Level 7 - £119</li></ul><p><strong>CPD Accredited Certification from One Education</strong></p><p>After successfully completing the courses under this Course, you will also qualify for CPD Accredited Certificates for each of the courses. Certification is available in PDF format, at the cost of £9, or a hard copy can be sent to you via post at £15.</p><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>The bundle training is ideal for highly motivated individuals who want to enhance their professional skills and train for the job they want! This Course also suits people aspiring for some in-depth knowledge on this topic and keep up to date with the latest information.</p><p>Study the Data Engineering with Google BigQuery &amp; Google Cloud bundle today and increase your professional skillset from the comfort of your home!</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal entry requirements for the Course, with enrollment open to anyone!<strong> Anyone and everyone</strong> with a knack for learning can enrol on this course without any hesitation.</p><p>Learn online from any internet device, including your computer, tablet or smartphone. Study when it suits you and complete the Data Engineering with Google BigQuery &amp; Google Cloud bundle at your own pace.</p><p>All students must have a passion for learning and literacy, as well as being over the age of 16.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Studying the Course is designed to help you get the job of your dreams, or even that promotion you've always wanted. Learn the essential skills and knowledge you need to exceed in your professional life with the help &amp; guidance from our Course.</p>
                        </div>

One Education

Data Engineering with Google BigQuery & Google Cloud Course

<p><strong>Level 6 Diploma in Data Engineering with Google BigQuery &amp; Google Cloud</strong></p><p>Turn your skills into a competitive advantage that is recognised globally and endorsed for quality by QLS, the UK's most reputable high-quality course auditor.</p><p>Hone your skills in data analytics, big data, machine learning, data pipelines, and artificial intelligence! Create infrastructure for collecting, managing, and transforming raw data into interpretable information by data scientists and business analysts. Develop your ability to create data processing solutions, make data accessible, and evaluate and optimise organisational performance. Enrol to advance your Cloud career and show your proficiency in one of the most sought-after industries in the market.</p><p>This premium QLS endorsed Data Engineering with Google BigQuery &amp; Google Cloud course comes with intensive study modules, dedicated tutor assistance, customer support, flexible learning opportunity and a globally recognised certification all-together. Thus, successful completion of our Data Engineering with Google BigQuery &amp; Google Cloud course will give you limitless opportunities anywhere and everywhere, since the value of QLS endorsed courses are quite high, to say the least!!</p><p>What's more, the quality of our first-class course is uncompromising for both you and us. You will be taught the richest of materials from this exquisite Data Engineering with Google BigQuery &amp; Google Cloud course, enabling you to open up a vast world of opportunities for you to grasp and gain success from. For the price point, this course is actually an absolute steal! It's an investment you absolutely do not want to miss out on!</p><p>So, why delay any longer? Benefit your career progression by joining us today and distinguish yourself as, unquestionably, the most skilled one in your workplace!</p><p><strong>Learning Outcomes for Level 6 Diploma in Data Engineering with Google BigQuery &amp; Google Cloud:</strong></p><ol><li>Develop a comprehensive understanding of data engineering principles and concepts.</li><li>Utilise Google BigQuery and Google Cloud for efficient data warehousing and analysis.</li><li>Explore and manipulate data effectively using BigQuery for insightful data-driven decisions.</li><li>Apply data flow techniques to design and optimise data pipelines.</li><li>Implement virtual data solutions using views for efficient data organisation and retrieval.</li><li>Create visually appealing and informative data visualisations to communicate insights effectively.</li></ol><p><strong>Why Learn with us: </strong></p><p>We, as one of the leading e-learning service providers across the globe, strive to provide all our learners with the best e-learning experience possible that can make a real difference in their career progression.</p><p><strong>Our Service for the </strong><strong>Data Engineering with Google BigQuery &amp; Google Cloud</strong><strong> Includes:</strong></p><ul><li>Intensive Study Notes</li><li>Tutor Support</li><li>Customer Support</li><li>Assignment Help</li><li>QLS Endorsed Certificate</li><li>24/7 Learning Portal Access</li><li>Widely Compatible Study Materials</li></ul><p><strong>Course Curriculum of </strong><strong>Data Engineering with Google BigQuery &amp; Google Cloud</strong></p><ul><li><strong>Unit 01: </strong>Introduction<strong><br /></strong></li><li><strong>Unit 02: </strong>Introducing Data Warehouse &amp; BigQuery<strong><br /></strong></li><li><strong>Unit 03: </strong>First Exploration<strong><br /></strong></li><li><strong>Unit 04: </strong>Data Flow Basic<strong><br /></strong></li><li><strong>Unit 05: </strong>Diving into BigQuery<strong><br /></strong></li><li><strong>Unit 06: </strong>Virtual Data using View<strong><br /></strong></li><li><strong>Unit 07: </strong>Data Visualisation<strong><br /></strong></li><li><strong>Unit 08: </strong>Intermediate Query</li></ul><p><strong>Assessment &amp; Certification</strong></p><p>Learners must submit a comprehensive summerised assignment on all the units that will be assessed by our expert tutor if all the learning outcomes are met as per the standard set by QLS. After the quality check, learner will be provided with the Data Engineering with Google BigQuery &amp; Google Cloud certificate.</p><p><strong>Endorsed Certificate of Achievement from the Quality Licence Scheme.</strong></p><p>An endorsed certificate will be issued to learners at the end of the course as recognition of course completion. Provided that learner completes all the assessment of a course can claim for certificate.</p><p><strong>Endorsement:</strong></p><p>QLS endorsed this certified course as a highly qualified, non-regulated provision and training programme. There will be a trainer to answer all your questions including your progression routes into further higher education.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>Our course is open for everyone. This Data Engineering with Google BigQuery &amp; Google Cloud is ideal for those who aspire to gain in-depth knowledge &amp; efficient skill to embark into the relevant sector as a promising potential.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>There are no formal requirements needed for this Data Engineering with Google BigQuery &amp; Google Cloud course. So learners do not require any prior qualifications to enrol in this course.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p><strong>Here are few job roles related to Data Engineering with Google BigQuery &amp; Google Cloud </strong>(Salary-per annum):</p><ol><li>Data Engineer (£50,000 - £55,000)</li><li>Data Analyst: (£38,000 - £40,000)</li><li>Data Scientist (£40,000 - £70,000)</li><li>Data Architect (£80,000 - £90,000)</li><li>Cloud Data Engineer (£50,000 - £80,000)</li><li>Big Data Engineer (£50,000 - £80,000)</li></ol>
                        </div>

Kingston Open College

Learning & Development

ELS (Effective Learning Service)

ICDL (International Certification of Digital Literacy)

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost

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