Name: Diploma in Data Science Course
Price: 100 GBP
Availability: InStock

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

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        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><strong>This Google Analytics Course - Taking Your Business to the Next Level course is ideal for:</strong></p><ul><li>Students seeking mastery in Level 7 in Strategic Learning &amp; Development</li><li>Professionals seeking to enhance Google Analytics Course - Taking Your Business to the Next Level skills</li><li>Individuals looking for a Level 7 in Strategic Learning &amp; Development-related career.</li><li>Anyone passionate about Level 7 in Strategic Learning &amp; Development</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This <strong>Google Analytics Course - Taking Your Business to the Next Level </strong>doesn't require prior experience and is suitable for diverse learners.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This <strong>Google Analytics Course - Taking Your Business to the Next Level </strong>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 -
            Included
        </p>
            <div><p>If you are an international student, you will be required to pay an additional fee of <strong>10 GBP</strong> for international delivery, and <strong>4.99 GBP</strong> for delivery within the UK, for each certificate</p></div>

                        </div>

Academy for Health and Fitness

Learning & Development

Online Course Marketing

Google Data Analytics

Google Analytics Individual Qualification

Trainers Course

Google Digital Marketing

Google Analytics Course - Taking Your Business to the Next Level

General Admission

<p>Feeling Stuck in Your Career? The Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! Bundle is Your Skill-Building Solution. This exceptional collection of <strong>30 premium courses</strong> is designed to encourage growth and improve your career opportunities. Suited to meet different interests and goals, the  Python for Data Science and Machine Learning bundle provides an engaging learning experience, helping you learn skills across various disciplines.</p><p>With Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! Bundle, you'll have a personalised journey that aligns with your career goals and interests. This comprehensive package helps you confidently tackle new challenges, whether entering a new field or enhancing your existing knowledge. The  Python for Data Science and Machine Learning bundle is your gateway to expanding your career options, increasing job demand, and enhancing your skill set.</p><p>By enrolling in this bundle, you'll receive complimentary PDF certificates for all courses, adding value to your resume at no extra cost. Develop key skills and achieve important progress in your career and personal development. Start your journey today and experience the transformative impact of the Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! bundle on your job life and career growth!</p><p><strong>This Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! Bundle Comprises the Following CPD Accredited Courses:</strong></p><ul><li><strong>Course 01</strong>: Machine Learning Basics</li><li><strong>Course 02</strong>: Azure Machine Learning</li><li><strong>Course 03</strong>: Python Intermediate Training</li><li><strong>Course 04</strong>: Python Data Science</li><li><strong>Course 05</strong>: 2021 Data Science &amp; Machine Learning with R from A-Z</li><li><strong>Course 06</strong>: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li><strong>Course 07</strong>: Learn Python, JavaScript, and Microsoft SQL for Data science</li><li><strong>Course 08</strong>: Spatial Data Visualisation and Machine Learning in Python</li><li><strong>Course 09</strong>: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li><strong>Course 10</strong>: Python Programming Bible | Networking, GUI, Email, XML, CGI</li><li><strong>Course 11</strong>: Deep Learning &amp; Neural Networks Python - Keras</li><li><strong>Course 12</strong>: The Complete Python 3 Course: Beginner to Advanced!</li><li><strong>Course 13</strong>: Building Big Data Pipelines with PySpark MongoDB and Bokeh</li><li><strong>Course 14</strong>: Clinical Data Management with SAS Programming</li><li><strong>Course 15</strong>: Certificate in Data Entry and Management</li><li><strong>Course 16</strong>: Quick Data Science Approach from Scratch</li><li><strong>Course 17</strong>: SQL for Data Science, Data Analytics and Data Visualization</li><li><strong>Course 18</strong>: Programming AutoCAD with SQL Server Database Using C#</li><li><strong>Course 19</strong>: Big Data Analytics with PySpark Power BI and MongoDB</li><li><strong>Course 20</strong>: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li><strong>Course 21</strong>: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li><strong>Course 22</strong>: Data Center Training Essentials: Power &amp; Electrical</li><li><strong>Course 23</strong>: Business Intelligence and Data Mining</li><li><strong>Course 24</strong>: Data Analysis In Excel</li><li><strong>Course 25</strong>: CV Writing and Job Searching</li><li><strong>Course 26</strong>: Learn to Level Up Your Leadership</li><li><strong>Course 27</strong>: Networking Skills for Personal Success</li><li><strong>Course 28</strong>: Ace Your Presentations: Public Speaking Masterclass</li><li><strong>Course 29</strong>: Learn to Make a Fresh Start in Your Life</li><li><strong>Course 30</strong>: Motivation - Motivating Yourself &amp; Others</li></ul><p><strong>What will make you stand out?</strong></p><p>Upon completion of this online Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! Bundle, you will gain the following:</p><ul><li>CPD QS Accredited Proficiency with this  Python for Data Science and Machine Learning  Bundle </li><li>After successfully completing the  Python for Data Science and Machine Learning bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities.</li><li>Lifetime access to the whole collection of learning materials of this  Python for Data Science and Machine Learning       Bundle</li><li>The online test with immediate results </li><li>You can study and complete the  Python for Data Science and Machine Learning bundle at your own pace.</li><li>Study for the  Python for Data Science and Machine Learning bundle using any internet-connected device, such as a computer, tablet, or mobile device.</li></ul><p>The  Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! bundle is a premier learning resource, with each course module holding respected CPD accreditation, symbolising exceptional quality. The content is packed with knowledge and is regularly updated to ensure it remains relevant. This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development.</p><p>Advance the future of learning with the   Python for Data Science and Machine Learning bundle, a comprehensive, complete collection of 30 courses. Each course in the  Python for Data Science and Machine Learning bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience.</p><p>Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the   Python for Data Science and Machine Learning bundle offers the flexibility and convenience to learn at your own pace. Make the   Python for Data Science and Machine Learning package your trusted partner in your lifelong learning journey.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>The Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses! is perfect for:</p><ul><li>Expand your knowledge and skillset for a fulfilling career with the  Python for Data Science and Machine Learning bundle.</li><li>Become a more valuable professional by earning CPD certification and mastering in-demand skills with the  Python for Data Science and Machine Learning bundle.</li><li>Discover your passion or explore new career options with the diverse learning opportunities in the  Python for Data Science and Machine Learning bundle.</li><li>Learn on your schedule, in the comfort of your home - the  Python for Data Science and Machine Learning bundle offers ultimate flexibility for busy individuals.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the  Python for Data Science and Machine Learning bundle.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Certificates</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Compliance Central

Python for Data Science and Machine Learning-(30 in 1) CPD Accredited Courses!

<p>Feeling Stuck in Your Career? The Data Science with Python (30 in 1) CPD Accredited Courses! Bundle is Your Skill-Building Solution. This exceptional collection of <strong>30 premium courses</strong> is designed to encourage growth and improve your career opportunities. Suited to meet different interests and goals, the Data Science with Python bundle provides an engaging learning experience, helping you learn skills across various disciplines.</p><p>With Data Science with Python (30 in 1) CPD Accredited Courses! Bundle, you'll have a personalised journey that aligns with your career goals and interests. This comprehensive package helps you confidently tackle new challenges, whether entering a new field or enhancing your existing knowledge. The Data Science with Python bundle is your gateway to expanding your career options, increasing job demand, and enhancing your skill set.</p><p>By enrolling in this bundle, you'll receive complimentary PDF certificates for all courses, adding value to your resume at no extra cost. Develop key skills and achieve important progress in your career and personal development. Start your journey today and experience the transformative impact of the Data Science with Python (30 in 1) CPD Accredited Courses! bundle on your job life and career growth!</p><p><strong>This Data Science with Python (30 in 1) CPD Accredited Courses! Bundle Comprises the Following CPD Accredited Courses:3</strong></p><ul><li><strong>Course 01</strong>: Python Data Science</li><li><strong>Course 02</strong>: R Programming for Data Science</li><li><strong>Course 03</strong>: Quick Data Science Approach from Scratch</li><li><strong>Course 04</strong>: SQL for Data Science, Data Analytics and Data Visualization</li><li><strong>Course 05</strong>: Programming AutoCAD with SQL Server Database Using C#</li><li><strong>Course 06</strong>: Big Data Analytics with PySpark Power BI and MongoDB</li><li><strong>Course 07</strong>: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li><strong>Course 08</strong>: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li><strong>Course 09</strong>: Data Center Training Essentials: Power &amp; Electrical</li><li><strong>Course 10</strong>: Building Big Data Pipelines with PySpark MongoDB and Bokeh</li><li><strong>Course 11</strong>: Clinical Data Management with SAS Programming</li><li><strong>Course 12</strong>: Certificate in Data Entry and Management</li><li><strong>Course 13</strong>: Business Intelligence and Data Mining</li><li><strong>Course 14</strong>: Set Menu Prices for your restaurant using data</li><li><strong>Course 15</strong>: Data Analysis In Excel</li><li><strong>Course 16</strong>: Data Protection</li><li><strong>Course 17</strong>: Learn Python, JavaScript, and Microsoft SQL for Data science</li><li><strong>Course 18</strong>: Spatial Data Visualisation and Machine Learning in Python</li><li><strong>Course 19</strong>: Python Intermediate Training</li><li><strong>Course 20</strong>: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li><strong>Course 21</strong>: Python Programming Bible | Networking, GUI, Email, XML, CGI</li><li><strong>Course 22</strong>: Deep Learning &amp; Neural Networks Python - Keras</li><li><strong>Course 23</strong>: The Complete Python 3 Course: Beginner to Advanced!</li><li><strong>Course 24</strong>: Career Development Plan Fundamentals</li><li><strong>Course 25</strong>: CV Writing and Job Searching</li><li><strong>Course 26</strong>: Learn to Level Up Your Leadership</li><li><strong>Course 27</strong>: Networking Skills for Personal Success</li><li><strong>Course 28</strong>: Ace Your Presentations: Public Speaking Masterclass</li><li><strong>Course 29</strong>: Learn to Make a Fresh Start in Your Life</li><li><strong>Course 30</strong>: Motivation - Motivating Yourself &amp; Others</li></ul><p><strong>What will make you stand out?</strong></p><p>Upon completion of this online Data Science with Python (30 in 1) CPD Accredited Courses! Bundle, you will gain the following:</p><ul><li>CPD QS Accredited Proficiency with this Data Science with Python Bundle</li><li>After successfully completing the Data Science with Python bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities.</li><li>Lifetime access to the whole collection of learning materials of this Data Science with Python Bundle</li><li>The online test with immediate results</li><li>You can study and complete the Data Science with Python bundle at your own pace.</li><li>Study for the Data Science with Python bundle using any internet-connected device, such as a computer, tablet, or mobile device.</li></ul><p>The Data Science with Python (30 in 1) CPD Accredited Courses! bundle is a premier learning resource, with each course module holding respected CPD accreditation, symbolising exceptional quality. The content is packed with knowledge and is regularly updated to ensure it remains relevant. This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development.</p><p>Advance the future of learning with the Data Science with Python bundle, a comprehensive, complete collection of 30 courses. Each course in the Data Science with Python bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience.</p><p>Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the Data Science with Python bundle offers the flexibility and convenience to learn at your own pace. Make the Data Science with Python package your trusted partner in your lifelong learning journey.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>The Data Science with Python (30 in 1) CPD Accredited Courses! is perfect for:</p><ul><li>Expand your knowledge and skillset for a fulfilling career with the Data Science with Python bundle.</li><li>Become a more valuable professional by earning CPD certification and mastering in-demand skills with the Data Science with Python bundle.</li><li>Discover your passion or explore new career options with the diverse learning opportunities in the Data Science with Python bundle.</li><li>Learn on your schedule, in the comfort of your home - the Data Science with Python bundle offers ultimate flexibility for busy individuals.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the Data Science with Python bundle.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Certificates</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Data Science with Python (30 in 1) CPD Accredited Courses!

<p>Feeling Stuck in Your Career? The Data Analyst (Data Analytics) Bundle is Your Skill-Building Solution. This exceptional collection of <strong>30 premium courses</strong> is designed to encourage growth and improve your career opportunities. Suited to meet different interests and goals, the Data Analyst-(Data Analytics) bundle provides an engaging learning experience, helping you learn skills across various disciplines.</p><p>With the Data Analyst (Data Analytics) Bundle, you'll have a personalised journey that aligns with your career goals and interests. This comprehensive package helps you confidently tackle new challenges, whether entering a new field or enhancing your existing knowledge. The Data Analyst-(Data Analytics) bundle is your gateway to expanding your career options, increasing job demand, and enhancing your skill set.</p><p>By enrolling in this bundle, you'll receive complimentary PDF certificates for all courses, adding value to your resume at no extra cost. Develop key skills and achieve important progress in your career and personal development. Start your journey today and experience the transformative impact of the Data Analyst-(Data Analytics) bundle on your job life and career growth!</p><p><strong>This Data Analyst (Data Analytics) </strong><strong>Bundle Comprises the Following CPD Accredited Courses:</strong></p><ul><li><strong>Course 01</strong>: Basic Data Analysis</li><li><strong>Course 02</strong>: Business Data Analysis</li><li><strong>Course 03</strong>: Introduction to Data Analytics with Tableau</li><li><strong>Course 04</strong>: Google Data Studio: Data Analytics</li><li><strong>Course 05</strong>: SQL Database Basics for Everyone</li><li><strong>Course 06</strong>: R Programming for Data Science</li><li><strong>Course 07</strong>: 2021 Data Science &amp; Machine Learning with R from A-Z</li><li><strong>Course 08</strong>: Learn Python, JavaScript, and Microsoft SQL for Data Science</li><li><strong>Course 09</strong>: Spatial Data Visualisation and Machine Learning in Python</li><li><strong>Course 10</strong>: Building Big Data Pipelines with PySpark MongoDB and Bokeh</li><li><strong>Course 11</strong>: Complete Python Machine Learning &amp; Data Science Fundamentals</li><li><strong>Course 12</strong>: Clinical Data Management with SAS Programming</li><li><strong>Course 13</strong>: Certificate in Data Entry and Management</li><li><strong>Course 14</strong>: Quick Data Science Approach from Scratch</li><li><strong>Course 15</strong>: Web Mapping and Data Visualizations</li><li><strong>Course 16</strong>: Programming AutoCAD with SQL Server Database Using C#</li><li><strong>Course 17</strong>: Big Data Analytics with PySpark Power BI and MongoDB</li><li><strong>Course 18</strong>: Develop Big Data Pipelines with R &amp; Sparklyr &amp; Tableau</li><li><strong>Course 19</strong>: Develop Big Data Pipelines with R, Sparklyr &amp; Power BI</li><li><strong>Course 20</strong>: Data Center Training Essentials: Power &amp; Electrical</li><li><strong>Course 21</strong>: Business Intelligence and Data Mining</li><li><strong>Course 22</strong>: Set Menu Prices for your restaurant using data</li><li><strong>Course 23</strong>: Data Analysis In Excel</li><li><strong>Course 24</strong>: Data Protection</li><li><strong>Course 25</strong>: Reporting and Data</li><li><strong>Course 26</strong>: Career Development Plan Fundamentals</li><li><strong>Course 27</strong>: CV Writing and Job Searching</li><li><strong>Course 28</strong>: Learn to Level Up Your Leadership</li><li><strong>Course 29</strong>: Networking Skills for Personal Success</li><li><strong>Course 30</strong>: Ace Your Presentations: Public Speaking Masterclass</li></ul><p><strong>What will make you stand out?</strong></p><p>Upon completion of this online Data Analyst (Data Analytics) Bundle, you will gain the following:</p><ul><li>CPD QS Accredited Proficiency with this Data Analyst-(Data Analytics) bundle</li><li>After successfully completing the Data Analyst-(Data Analytics) bundle, you will receive a FREE PDF Certificate from REED as evidence of your newly acquired abilities.</li><li>Lifetime access to the whole collection of learning materials of this Data Analyst-(Data Analytics) bundle</li><li>The online test with immediate results</li><li>You can study and complete the Data Analyst-(Data Analytics) bundle at your own pace.</li><li>Study for the Data Analyst-(Data Analytics) bundle using any internet-connected device, such as a computer, tablet, or mobile device.</li></ul><p>The Data Analyst (Data Analytics) bundle is a premier learning resource, with each course module holding respected CPD accreditation, symbolising exceptional quality. The content is packed with knowledge and is regularly updated to ensure it remains relevant. This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development.</p><p>Advance the future of learning with the Data Analyst-(Data Analytics) <strong>bundle</strong>, a comprehensive, complete collection of 30 courses. Each course in the Data Analyst-(Data Analytics) bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience.</p><p>Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the Data Analyst-(Data Analytics) bundle offers the flexibility and convenience to learn at your own pace. Make the Data Analyst-(Data Analytics) package your trusted partner in your lifelong learning journey.</p><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>The Data Analyst (Data Analytics) bundle is perfect for:</p><ul><li>Expand your knowledge and skillset for a fulfilling career with the Data Analyst-(Data Analytics) bundle.</li><li>Become a more valuable professional by earning CPD certification and mastering in-demand skills with the Data Analyst-(Data Analytics) bundle.</li><li>Discover your passion or explore new career options with the diverse learning opportunities in the Data Analyst-(Data Analytics) bundle.</li><li>Learn on your schedule, in the comfort of your home - the Data Analyst-(Data Analytics) bundle offers ultimate flexibility for busy individuals.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the Data Analyst (Data Analytics) bundle.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD Certificates</h4>
        <p>
            Digital certificate -
            Included
        </p>

                        </div>

Data Analyst (Data Analytics) - 30 CPD Courses!

<p>Are you ready to take your data analysis skills to the next level? Introducing the Statistical Analysis and Data Science bundle - the ultimate collection of courses for anyone looking to dive deeper into the world of data.</p><p>The bundle features a QLS-endorsed course, which means you will receive a QLS hardcopy certificate upon completion. This certificate is a mark of quality and can help you stand out in a competitive job market. But that's not all - the bundle also includes 10 other relevant courses, all CPD-QS accredited, to ensure you have a comprehensive understanding of statistical analysis and data science.</p><p>You'll learn everything from the basics of statistical analysis to advanced SAS programming and big data analytics. Our courses were designed by people who are passionate about sharing their knowledge with you. With our easy-to-follow modules, you'll be able to learn at your own pace and from the comfort of your own home.</p><p>Whether you're a seasoned data analyst looking to expand your skills or a newcomer to the field, the Statistical Analysis and Data Science bundle has everything you need to succeed. So why wait? Enrol now and take the first step towards becoming a data analysis expert!</p><p><strong>This Diploma in Statistical Analysis at QLS Level 5</strong><strong> Bundle Package includes:</strong></p><ul><li><strong>Course 01:</strong> Diploma in Statistical Analysis at QLS Level 5</li></ul><p><strong>10 Premium Additional CPD QS Accredited Courses -</strong></p><ul><li><strong>Course 01: </strong>Data Analytics with Tableau</li><li><strong>Course 02: </strong>Big Data Analytics with PySpark Tableau Desktop and MongoDB</li><li><strong>Course 03: </strong>Data Science &amp; Machine Learning with R Training</li><li><strong>Course 04: </strong>SQL for Data Science, Data Analytics and Data Visualization</li><li><strong>Course 05: </strong>Advanced SAS Programming Using MacrosSQL</li><li><strong>Course 06: </strong>SQL NoSQL Big Data and Hadoop</li><li><strong>Course 07: </strong>Statistical Concepts and Application with R</li><li><strong>Course 08: </strong>Business Data Analysis</li><li><strong>Course 09: </strong>Business Intelligence and Data Mining Diploma</li><li><strong>Course 10: </strong>Data Analysis In Excel</li></ul><p><strong>Why Prefer This </strong><strong>Statistical Analysis and Data Science</strong><strong> Bundle?</strong></p><ul><li>You will receive a completely free certificate from the Quality Licence Scheme</li><li>Option to purchase 10 additional certificates accredited by CPD</li><li>Get a free Student ID Card - (£10 postal charges will be applicable for international delivery)</li><li>Free assessments and immediate success results</li><li>24/7 Tutor Support</li></ul> <p><strong>After taking this </strong><strong>Statistical Analysis and Data Science</strong><strong> bundle courses, you will be able to learn:</strong></p><ul><li>Develop a comprehensive understanding of statistical analysis and data science principles</li><li>Gain expertise in data analytics tools such as Tableau, PySpark, MongoDB, R, SQL, SAS, and Hadoop</li><li>Learn advanced data science techniques, including machine learning, data mining, and business intelligence</li><li>Acquire skills in data visualisation, data cleansing, and data analysis in Excel</li><li>Apply statistical concepts and methods to real-world scenarios</li><li>Build a strong foundation in data-driven decision-making</li><li>Develop problem-solving skills and learn how to make data-driven decisions</li></ul><p><strong>***Curriculum breakdown of Statistical Analysis</strong><strong>***</strong></p><ul><li>Module 01: The Realm of Statistics</li><li>Module 02: Basic Statistical Terms</li><li>Module 03: The Center of the Data</li><li>Module 04: Data Variability</li><li>Module 05: Binomial and Normal Distributions</li><li>Module 06: Introduction to Probability</li><li>Module 07: Estimates and Intervals</li><li>Module 08: Hypothesis Testing</li><li>Module 09: Regression Analysis</li><li>Module 10: Algorithms, Analytics and Predictions</li><li>Module 11: Learning From Experience: The Bayesian Way</li><li>Module 12: Doing Statistics: The Wrong Way</li><li>Module 13: How We Can Do Statistics Better</li></ul><p><strong>How is the </strong><strong>Statistical Analysis and Data Science</strong><strong>Bundle Assessment Process?</strong></p><p>You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment.</p><p>You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you successfully pass the exams.</p> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>Professionals looking to expand their skills in data analysis</li><li>Students interested in a career in data science and analytics</li><li>Entrepreneurs looking to make data-driven decisions</li><li>Anyone interested in learning statistical analysis and data science principles</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Our courses will prepare you for a range of careers, including:</p><ul><li>Data Analyst: £25,000 - £40,000</li><li>Business Analyst: £30,000 - £50,000</li><li>Data Scientist: £40,000 - £70,000</li><li>Business Intelligence Analyst: £35,000 - £55,000</li><li>Big Data Engineer: £50,000 - £80,000</li><li>Data Warehouse Architect: £60,000 - £100,000</li></ul>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>CPD QS Accredited Certificate</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div><p>Upon successfully completing the Bundle, you will need to place an order to receive a PDF Certificate for each course within the bundle. These certificates serve as proof of your newly acquired skills, accredited by CPD QS. Also, the certificates are recognised throughout the UK and internationally.</p></div>
        <h4>CPD QS Accredited Certificate</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>International students are subject to a £10 delivery fee for their orders, based on their location.</p></div>
        <h4>Diploma in Statistical Analysis at QLS Level 5</h4>
        <p>
            Hard copy certificate -
            Included
        </p>

                        </div>

Statistical Analysis and Data Science

<div id="course-pills-1">Duration<p>4 Days</p><p>24 CPD hours</p>This course is intended for<p>This in an intermediate-level Java development course geared for students experienced with Java and Spring programming essentials.  This course does not cover Java or Spring development basics.</p>Overview<p>Working within in an engaging, hands-on learning environment, guided by our expert team, attendees will:<br />Understand the ReactiveX specification<br />Understand the basics of Reactive Programming<br />Discuss the advantages and limitations of Observables<br />Write a client application capable of handling Reactive events<br />Apply operators to event streams to filter, modify and combine the objects emitted by event publishers<br />Select the appropriate type of Event Source<br />Use both Cold and Hot Observables<br />Deal with backpressure problems in reactive programming<br />Develop a reactive web application using Spring WebFlux<br />Define application flows of a WebFlux application<br />Use the WebClient API to work with both synchronous and streaming APIs<br />Develop Unit and Integration tests to test WebFlux endpoints<br />Creating a reactive REST endpoint<br />Become familiar with the basics of WebSockets<br />Create a WebSocket endpoint using Spring<br />Create a WebSocket client<br />Understand the basics of NoSQL<br />Become familiar with the basics of MongoDB<br />Understand how the data in MongoDB can be retrieved using a Reactive API<br />Define Spring Data MongoDB repositories<br />Query the MongoDB using Spring Data<br />Define a reactive repository using MongoDB<br />Explore the Spring Data R2DBC API to perform reactive CRUD operations against a relational database</p><p>Spring Data reative allow us to implement database operations relying on Reative Programming APIs. While the Spring R2DBC initiative aims to bring reactive programming to relational databaes, several NoSQL databases already provide this possibility. After an introduction to NoSQL and the MongoDB, this courses covers the APIs available to communicate with this NoSQL database using both blocking and reactive APIs.Introdcution to Reactive Spring is a comprehensive Java training workshop geared for experienced developers who wish to explore concurrent, asynchronous and reactive programming APIs and techniques using Spring. After an introduction to reactive programming, Reactive Streams and the Project Reactor APIs, this course will show how this APIs are integrated into Spring. Spring 5 includes Spring WebFlux, providing a reactive programming model for web applications, including support for Reactive REST APIs. Spring WebSocket assists in the creation of web applications which provide a full-duplex, two-way communication between client and server.</p></div><div id="course-pills-2"><h4>Introduction to Reactive Programming</h4><ul><li>Reactive Manifesto</li><li>Introduce ReactiveX</li><li>ReactiveX implementations</li><li>The Observer, Iterator pattern and functional programming</li><li>Discuss hot and cold publishers</li></ul><h4>Reactive Streams API</h4><ul><li>Introduce the Reactive Streams specification</li><li>Publisher and Subscribers</li><li>java.util.concurrent.Flow</li><li>Transformation of Messages (Processor)</li><li>Controlling messages</li><li>Tutorial: Setup Eclipse for Using Maven</li></ul><h4>Introduction</h4><ul><li>Introduce the Reactor Building blocks</li><li>Flux and Mono</li><li>Creating observables</li><li>Subscribing to a stream</li></ul><h4>Testing Event Sources (introduction)</h4><ul><li>Testing reactive implementations</li><li>StepVerifier : test sequence of emitted items</li><li>Defining expectations</li><li>TestPublisher: produce test data to test downstream operators</li></ul><h4>Reactive Operators</h4><ul><li>Introduce Operators</li><li>Show the use of marble diagrams</li><li>Explain some commonly used operators</li><li>Callback operators</li></ul><h4>Schedulers (Multithreading)</h4><ul><li>Thread usage of subscriber and consumer</li><li>Using the subscribeOn method</li><li>Introduce the Scheduler interface</li><li>Using the observeOn method</li></ul><h4>Backpressure</h4><ul><li>Strategies for dealing with Backpressure</li><li>?reactive pull? backpressure</li></ul><h4>Exception Handling</h4><ul><li>Handling errors in onError</li><li>Exception handling strategies</li><li>Using onErrorReturn or onErrorNext operators</li><li>Using the retry operators</li><li>The Global Error Handler</li></ul><h4>Spring Data Review</h4><ul><li>Quick review of Spring Data repositories</li><li>Query return types</li><li>Defining Query methods</li><li>Pagination and sorting</li></ul><h4>R2DBC</h4><ul><li>Reactive Relational Database Connectivity</li><li>DatabaseClient</li><li>Performing CRUD operations</li><li>Reactive Query annotated methods</li></ul><h4>Spring WebFlux: Introduction</h4><ul><li>Annotated Controllers</li><li>Functional Endpoints</li><li>WebFlux configuration</li><li>Creating a reactive REST endpoint</li></ul><h4>Defining flows</h4><ul><li>Defining the application flow</li><li>Actions</li><li>Defining decision</li><li>Navigating flows</li><li>RouterFunction</li></ul><h4>View Technologies</h4><ul><li>View technologies</li><li>Using Thymeleaf to create the view</li><li>View Configuration</li></ul><h4>Spring WebClient: Introduction to WebClient</h4><ul><li>Working with asynchronous and streaming APIs</li><li>Making requests</li><li>Handling the response</li><li>Lab: WebClient</li></ul><h4>WebTestClient</h4><ul><li>Testing WebFlux server endpoints</li><li>Testing controllers or functions</li><li>Define integration tests</li></ul><h4>Introduction to Spring Reactive WebSockets</h4><ul><li>Be familiar with the basics of WebSockets</li><li>Understand the HTTP handshake and upgrade</li><li>Name some of the advantages of WebSockets</li></ul><h4>Defining the WebSocket</h4><ul><li>WebSocket Message Handling</li><li>WebSocketSession</li><li>Implementing the WebSockethandler</li><li>Creating a Browser WebSocket Client</li></ul><h4>WebSocket STOMP</h4><ul><li>Streaming (or Simple) text-orientated messaging protocol </li><li>Introduce SockJS </li><li>Connecting to the STOMP endpoint </li><li>Configuring the message broker </li><li>STOMP destinations</li></ul><h4>Reactive WebSocket</h4><ul><li>Reactive WebSocket support</li><li>Implement the reactive WebSocketHandler</li></ul><h4>BigData</h4><ul><li>Introduce Big Data</li><li>Explain the need for enhanced data storage</li></ul><h4>Introduction to MongoDB</h4><ul><li>JavaScript Object Notation Overview</li><li>Introduce Binary JSON (BSON)</li><li>Starting the database</li><li>Creating Collections and Documents</li><li>Executing ?simple? database commands</li><li>Introduce the ObjectID</li><li>Searching for documents using query operators</li><li>Updating and deleting documents</li><li>MongoDB Compass</li></ul><h4>Spring and MongoDB</h4><ul><li>MongoDB Support in Spring Data</li><li>MongoClient and MongoTemplate</li><li>Spring Data MongoDB configuration</li><li>@EnableMongoRepositories</li><li>Adding documents to the database</li><li>The @Document and @Field annotations</li><li>Polymorphism and the _class property</li><li>The Criteria object</li></ul><h4>Spring Data MongoDB</h4><ul><li>MongoRepository</li><li>Field naming strategy</li><li>Using JSON queries to find documents</li><li>The @PersistenceConstructor annotation</li></ul><h4>Reactive Repositories with MongoDB</h4><ul><li>Using reactive repositories</li><li>ReactiveMongoTemplate</li><li>RxJava or Reactor</li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Introduction to Reactive Spring (TT3355 ) 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 Introduction to Reactive Spring (TT3355 ) 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

Spring Framework

Spring WebFlux

Introduction to Reactive Spring (TT3355 )

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

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        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 bundle is ideal for:</p><ul><li>Students seeking mastery in this field</li><li>Professionals seeking to enhance their skills</li><li>Anyone who is passionate about this topic</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Google Analytics Course - Taking Your Business to the Next Level Course doesn't require prior experience and is suitable for diverse learners.</p>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>This Google Analytics Course - Taking Your Business to the Next Level Course 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 -
            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>

Marketing Analytics

Google Analytics

Google Analytics for Beginners - Master Google Analytics

Janets

Online Course Creation

Microsoft SQL

Hadoop

AWS Certified Database

NoSQL

SQL NoSQL Big Data and Hadoop

Packt

Node.js

Windows 10

Cloud Computing

Docker

Python

Linux

Understand how Docker works and learn its core features with this hands-on course. This is 90% practice without any useless demos!

Learn how to create different containers such as Node.js, Python, WordPress, MongoDB, MySQL, Redis, Elasticsearch, and much more.

The Complete Practical Docker Guide

<p><strong>Uncover the secrets hidden within your data.</strong> In today's data-driven world, the ability to extract insights and build intelligent systems is a valuable asset. This comprehensive Diploma in Data Science Bundle equips you with the programming languages, statistical knowledge, and machine learning techniques needed to thrive in this exciting field.</p><p><strong>What can you expect from this Bundle?</strong></p><ul><li><strong>Master the fundamentals:</strong> Build a strong foundation in programming languages like Python and R, essential tools for data manipulation and analysis.</li><li><strong>Dive into Machine Learning:</strong> Explore various machine learning algorithms and techniques for predictive modelling, pattern recognition, and data-driven decision making.</li><li><strong>Embrace Big Data:</strong> Learn how to handle and analyse massive datasets using tools like PySpark and Hadoop.</li><li><strong>Become a data-driven professional:</strong> Develop the skills and knowledge to solve real-world problems and unlock the power of your data.</li></ul><p><strong>Enrol now and become a data-driven problem solver and propel your career to new heights!</strong></p><p><strong>Course List </strong></p><ul><li><strong>R Programming for Data Science:</strong></li></ul><ol><ol><ul><li>Master the fundamentals of R programming, a powerful language for data analysis and visualisation.</li><li>Learn how to import, clean, and manipulate data using R.</li></ul></ol></ol><ul><li><strong>Data Science &amp; Machine Learning with Python:</strong></li></ul><ol><ol><ul><li>Gain proficiency in Python, a versatile language widely used in data science applications.</li><li>Explore core machine learning concepts and build basic prediction models using Python libraries.</li></ul></ol></ol><ul><li><strong>Python Data Science:</strong></li></ul><ol><ol><ul><li>Deepen your understanding of Python for data science, including data structures, libraries like NumPy and Pandas, and data wrangling techniques.</li><li>Learn how to implement data visualisation tools like Matplotlib and Seaborn to create compelling data stories.</li></ul></ol></ol><ul><li><strong>SQL for Data Science, Data Analytics and Data Visualisation:</strong></li></ul><ol><ol><ul><li>Master SQL, a crucial language for querying and retrieving data from relational databases.</li><li>Learn how to integrate SQL with other data science tools for efficient analysis.</li></ul></ol></ol><ul><li><strong>Quick Data Science Approach from Scratch:</strong></li></ul><ol><ol><ul><li>Gain a foundational understanding of the data science workflow, from data acquisition to model deployment.</li><li>Learn how to approach data science problems in a structured and efficient manner.</li></ul></ol></ol><ul><li><strong>Computer Science With Python:</strong></li></ul><ol><ol><ul><li>Build a solid foundation in computer science principles, including algorithms, data structures, and problem-solving techniques.</li><li>Learn how to apply these concepts to solve data science challenges using Python.</li></ul></ol></ol><ul><li><strong>Big Data Analytics with PySpark Power BI and MongoDB:</strong></li></ul><ol><ol><ul><li>Explore big data technologies like PySpark for distributed data processing and MongoDB for handling NoSQL databases.</li><li>Learn how to integrate these tools with Power BI for effective data visualisation and business intelligence.</li></ul></ol></ol><ul><li><strong>SQL NoSQL Big Data and Hadoop:</strong></li></ul><ol><ol><ul><li>Gain a comprehensive understanding of different database types, including SQL, NoSQL, and Big Data frameworks like Hadoop.</li><li>Learn how to choose the appropriate database technology for different data science projects.</li></ul></ol></ol><ul><li><strong>Machine Learning Basics:</strong></li></ul><ol><ol><ul><li>Demystify core machine learning concepts like supervised and unsupervised learning algorithms.</li><li>Learn how to evaluate and interpret the performance of machine learning models.</li></ul></ol></ol><ul><li><strong>Machine Learning for Aspiring Data Scientists: Zero to Hero:</strong></li></ul><ol><ol><ul><li>Progress from beginner to intermediate in machine learning, building more complex models and exploring advanced techniques.</li><li>Learn how to apply machine learning to solve real-world data science problems.</li></ul></ol></ol><ul><li><strong>Business Intelligence and Data Mining:</strong></li></ul><ol><ol><ul><li>Discover best practices for extracting valuable insights from data for business decision making.</li><li>Learn data mining techniques to uncover hidden patterns and trends in large datasets.</li></ul></ol></ol><ul><li><strong>Deep Learning &amp; Neural Networks Python - Keras:</strong></li></ul><ol><ol><ul><li>Delve into the world of deep learning and artificial neural networks, a powerful technique for complex data analysis.</li><li>Learn how to implement deep learning models using popular libraries like Keras in Python.</li></ul></ol></ol><ul><li><strong>Project on Deep Learning - Artificial Neural Network:</strong></li></ul><ol><ol><ul><li>Apply your deep learning knowledge to solve a practical data science problem through a hands-on project.</li><li>Gain experience in building and deploying deep learning models.</li></ul></ol></ol><ul><li><strong>Essential Training on Deep Learning Heuristic using R:</strong></li></ul><ol><ol><ul><li>Explore deep learning concepts and implement algorithms using the R programming language.</li><li>Learn how to leverage R's capabilities for specific deep learning tasks.</li></ul></ol></ol><ul><li><strong>Statistics &amp; Probability for Data Science &amp; Machine Learning:</strong></li></ul><ol><ul><li>Develop a strong foundation in statistical concepts essential for data analysis and machine learning models.</li><li>Learn how to interpret data, conduct hypothesis testing, and assess the reliability of your results.</li></ul></ol><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <ul><li>Individuals with a passion for data and an interest in extracting insights.</li><li>Professionals seeking to upskill or transition into a data science career.</li><li>Anyone who wants to unlock the power of data for better decision-making.</li></ul>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

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

                        <div id="career_path">
                            <ul><li>Data Scientist</li><li>Machine Learning Engineer</li><li>Data Analyst</li><li>Business Intelligence Specialist</li><li>Data Visualisation Specialist</li></ul>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

One Education

Diploma in Data Science Course

<strong>This course on MongoDB is for absolute beginners and provides an interactive learning experience that reflects the most in-demand skills. The content will help you understand the concepts and methodology with regards to MongoDB in an effortless way. The strong basic understanding you gain initially will help you move toward learning more advanced concepts.</strong>
        <p>MongoDB, a fast and scalable NoSQL database, is extremely popular right now. This object-oriented database is simple and dynamic.

In this course, you start by becoming proficient in the elementary concepts of MongoDB, including installing and setting up MongoDB Atlas, and understanding the database structure, collection structure, document structure, and basic Mongo commands.

Next, you'll explore the Basic, Create, Read, Update, and Delete operations in MongoDB. You'll then explore in detail the MongoDB query operators and project operators. Following this, you'll learn about MongoDB update operators. In the concluding modules, you'll explore MongoDB with Node and Python.

In the final module, you'll sharpen your practical knowledge of the theoretical concepts you learned in this course by working on two mini-projects. In the first project, you'll work on MongoDB with Django, in which you'll develop a CRUD-based application using Django and MongoDB. In the second project, you'll implement an ETL pipeline using PySpark to dump the data in MongoDB.

By the end of this course, you will be able to implement any project from scratch that requires MongoDB knowledge.

The complete code bundle for this course is available at https://github.com/PacktPublishing/MongoDB-Mastering-MongoDB-for-Beginners-Theory-and-Projects-</p>
        <h2>What You Will Learn</h2><p>Introduction to MongoDB and understand its importance<br>Understand MongoDB with Node, Python, and Django<br>Perform CRUD operations with Node, Python, Django in MongoDB Atlas<br>Understand different MongoDB CRUD operations<br>Build APIs for CRUD operations in MongoDB through Django<br>Understand MongoDB with PySpark</p>
        <h2>Audience</h2><p>This course is designed for absolute beginners. As a newbie in this field, you will spend sufficient time - in gaining a thorough understanding of the fundamental concepts. You also need a good understanding of SQL.<br><br>If you want to become a data scientist, database administrator, database engineer, or data engineer, then this course is for you.</p>
        <h2>Approach</h2><p>The course is designed for absolute beginners; hence, it is easy to understand, includes practical with live coding, and is full of challenging quizzes with solutions. You will then make steady progress with a lot of practical implementations where each step will be dealt with in detail.</p>
        <h2>Key Features</h2><p>Relate the concepts and practical applications of MongoDB with real-world problems * Implement any project from scratch that requires MongoDB knowledge * Know the theoretical and practical aspects of MongoDB</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/MongoDB-Mastering-MongoDB-for-Beginners-Theory-and-Projects-</p>
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are a group of experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.

AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science.

They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences.

Their courses have successfully helped more than 100,000 students master AI and data science.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Overview</h4><p></p><br><h4>3. Basic Mongo Operations</h4><p></p><br><h4>4. Basic Create Operation</h4><p></p><br><h4>5. Basic Update Operation</h4><p></p><br><h4>6. Basic Read Operation</h4><p></p><br><h4>7. Basic Delete Operation</h4><p></p><br><h4>8. Query and projection operators</h4><p></p><br><h4>9. Update Operators</h4><p></p><br><h4>10. Mongo with Node</h4><p></p><br><h4>11. Mongo with Python</h4><p></p><br><h4>12. Django with Mongo</h4><p></p><br><h4>13. Spark With Mongo</h4><p></p>

Programming

MongoDB

This course on MongoDB is for absolute beginners and provides an interactive learning experience that reflects the most in-demand skills. The content will help you understand the concepts and methodology with regards to MongoDB in an effortless way. The strong basic understanding you gain initially will help you move toward learning more advanced concepts.

MongoDB-Mastering MongoDB for Beginners (Theory and Projects)

<strong>Master MongoDB, an open-source document database and leading NoSQL database that provides high performance, high availability, and automatic scaling. This course covers the MongoDB Community version for beginners and provides over 50 live-running queries, including creating new databases and tables.</strong>
        <p>MongoDB is a No SQL database, which is an open-source, cross-platform, document-oriented database written in C++. MongoDB is a popular document database with powerful capabilities, such as full-text-based search, geospatial queries, data aggregation, and many more features.

The course begins with an introduction to MongoDB and it's features and editions. You will learn to differentiate between SQL and NoSQL databases and set up and install MongoDB on Windows. You will proceed to create a new database and a new collection in MongoDB. You will learn to modify and drop databases and collections. You will learn to insert and display documents in a formatted way using the pretty() method. You will perform various operations on MongoDB using the AND, OR, NOR, and NOT operators. You will explore how to limit records using the limit() method and skip documents using the skip() method. You will create and delete indexes and perform text searches in MongoDB.

Upon completing the course, you will be able to master the concepts of MongoDB NoSQL database, create a new database, and maintain an existing database. You will be able to independently run live queries and use complex queries to manipulate data in the database.

All resources are available at: https://github.com/PacktPublishing/MongoDB-Tutorial-for-Beginners-2022-</p>
        <h2>What You Will Learn</h2><p>Install and set up MongoDB<br>Create a new database and maintain existing databases with MongoDB<br>Implement the sort() method in MongoDB and display sorted results<br>Limit records with limit() and skip documents with skip() method<br>Use find(), explain(), listCommands(), and getCollectionInfos()<br>Create and delete indexes and use search text on collections</p>
        <h2>Audience</h2><p>The course aims at delivering a high-quality learning experience to those who are database beginners, web developers wanting to learn modern database concepts, application developers that would work on databases to store information for their apps, and programmers involved in complex programming that involves data storage and handling. The only prerequisite required to benefit from this course is to have basic knowledge of computer use.</p>
        <h2>Approach</h2><p>The course is delivered step-by-step with explanations included in a tutorial-styled format to make learning MongoDB easier for beginners and to understand how to operate a new database and tables and its concepts with examples of live running queries. The course also provides frequent quizzes and helps refresh your MongoDB skills.</p>
        <h2>Key Features</h2><p>Ace NoSQL with a popular database MongoDB developed for modern applications * Learn to create and run a NoSQL database and maintain an existing database with MongoDB * Master MongoDB and understand database and table concepts with live running queries as examples</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/MongoDB-Tutorial-for-Beginners-2022-</p>
        <h2>About the Author</h2><h3>Amit Diwan</h3><p>Studyopedia was founded by Amit Diwan in 2018 after working for Tutorialspoint , IIT, IASRI, Sitepoint, DU, and C# Corner. Studyopedia sells courses on Udemy, Tutorialspoint, Geeksforgeeks, and Skillshare, providing video courses to master various technologies and programming languages, databases, frameworks, Python, data science, machine learning, Java, Android, C/C++, HTML5, Bootstrap, JavaScript, jQuery, PHP, CSS, WordPress, Drupal, Joomla, Magento, osCommerce, OpenCart, PrestaShop, and other disciplines. Studyopedia delivers high-quality video courses to millions of students and professionals enrolled through their website on multiple programming languages and technologies.</p>
        <h2>Course Outline</h2><h4>1. MongoDB Introduction</h4><p>This section briefly outlines the features and capabilities of MongoDB and how this database system can be used in modern applications.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction and Features</p><p style='margin: 0'>Learn what MongoDB is, its features, editions, and so on.</p></td></tr><tr><td style='padding: 15px;'><p>2. NoSQL Versus SQL (With Examples - MongoDB Versus MySQL)</p><p style='margin: 0'>Learn how SQL and NoSQL are different. We have considered the example of MySQL (SQL-based) and MongoDB (NoSQL based) to understand the concept. We will also see what collections and documents in MongoDB are and how they differ from tables and rows in MySQL.</p></td></tr></tbody></table><br><h4>2. MongoDB Installation and Setup</h4><p>This video demonstrates the installation and setup process of MongoDB.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Video Name</p><p style='margin: 0'>Learn how to download and install MongoDB on Windows 10. We will also see how to set the path and run mongo with mongod (daemon).</p></td></tr></tbody></table><br><h4>3. Create a Database and Collection</h4><p>In this section, you will learn how to create a database and a collection in MongoDB.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. How to create a Database in MongoDB</p><p style='margin: 0'>Learn to create a new database in MongoDB with live examples.</p></td></tr><tr><td style='padding: 15px;'><p>2. How to Create a Collection in MongoDB</p><p style='margin: 0'>Create a new collection in MongoDB with live examples. A database has a group of collections.</p></td></tr></tbody></table><br><h4>4. Drop a Collection and Database</h4><p>This section focuses on the creation of a collection and database in MongoDB.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Drop a Collection</p><p style='margin: 0'>Drop a collection in MongoDB. Dropping a collection deletes the entire collection and all its documents and fields.</p></td></tr><tr><td style='padding: 15px;'><p>2. Drop a Database</p><p style='margin: 0'>Drop a database in MongoDB. Dropping a database deletes the entire database and all its collections.</p></td></tr></tbody></table><br><h4>5. Insert and Display</h4><p>This section demonstrates how to insert documents and display documents in a MongoDB Collection.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Insert Documents</p><p style='margin: 0'>Learn to insert documents in a MongoDB collection. A collection in MongoDB has documents and fields. Insert documents using the following methods: insert(): Insert document; insertOne(): Insert a single document; insertMany(): Insert multiple documents.</p></td></tr><tr><td style='padding: 15px;'><p>2. Display Documents</p><p style='margin: 0'>Learn to display documents in MongoDB, that is, query/fetch documents from a collection.</p></td></tr><tr><td style='padding: 15px;'><p>3. Display Documents in a Formatted Way - pretty() Method</p><p style='margin: 0'>Implement the pretty() strategy in MongoDB and display formatted documents. The find() method displays documents, and pretty() displays in a formatted way.</p></td></tr><tr><td style='padding: 15px;'><p>4. Display Collections</p><p style='margin: 0'>Display all the collections in a specific MongoDB database.</p></td></tr></tbody></table><br><h4>6. MongoDB Operators</h4><p>This section illustrates the various operators available for functions in MongoDB.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. AND Operator</p><p style='margin: 0'>Implement the AND operator in MongoDB and retrieve documents satisfying all the conditions.</p></td></tr><tr><td style='padding: 15px;'><p>2. OR Operator</p><p style='margin: 0'>Learn to implement the OR operator in MongoDB to display documents satisfying at least one condition.</p></td></tr><tr><td style='padding: 15px;'><p>3. NOR Operator</p><p style='margin: 0'>Implement the NOR operator in MongoDB, the opposite of the OR operator.</p></td></tr><tr><td style='padding: 15px;'><p>4. NOT Operator</p><p style='margin: 0'>Learn to implement the NOT operator in MongoDB. It negates the conditions.</p></td></tr></tbody></table><br><h4>8. Sort Records in MongoDB</h4><p>This section explains how to sort records using the sort() method and sort in ascending and descending orders.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Sort Records</p><p style='margin: 0'>Learn to implement the sort() method in MongoDB and display sorted results. The documents can be sorted in ascending as well as descending order. For sort order, use 1 for ascending and -1 for descending order.</p></td></tr></tbody></table><br><h4>9. Text Indexing in MongoDB</h4><p>This section demonstrates how to create and delete a text index in MongoDB.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Create and Delete Text Index</p><p style='margin: 0'>Learn how to create and delete text index in MongoDB.</p></td></tr></tbody></table><br><h4>10. Text Search in MongoDB</h4><p>This section explores how to perform searches, especially text searches in MongoDB.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Text Search on a Collection in MongoDB</p><p style='margin: 0'>Learn how to perform text search with $text in MongoDB.</p></td></tr></tbody></table><br><h4>11. Section Name</h4><p>In this section, we will understand how to fetch documents from a collection in MongoDB.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. find() - Fetch Documents From a Collection</p><p style='margin: 0'>Implement the find() method in MongoDB and display documents, that is, fetch documents from a collection.</p></td></tr><tr><td style='padding: 15px;'><p>2. explain() - Provide Information on the Query Plan</p><p style='margin: 0'>Learn how to implement the explain() method in MongoDB. MongoDB explain() provides information on the query plan.</p></td></tr><tr><td style='padding: 15px;'><p>3. stats() - Display Statistics of a Database</p><p style='margin: 0'>Implement the stats() method in MongoDB. This method returns a document with statistics of the database like collections, views, objects, storageSize, indexes, indexSize, totalSize, and so on.</p></td></tr><tr><td style='padding: 15px;'><p>4. listCommands() - Display a List of All Database Commands</p><p style='margin: 0'>Learn how to implement the listCommands() method in MongoDB. This method displays a list of all database commands</p></td></tr><tr><td style='padding: 15px;'><p>5. getCollectionInfos() - Display Collection Information</p><p style='margin: 0'>Implement the getCollectionInfos() method in MongoDB. This method returns an array of documents with collection information.</p></td></tr></tbody></table><br><h4>12. MongoDB Advanced Topics</h4><p>Here, we will focus on how to aggregate, limit, and skip records.</p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Aggregate Records in MongoDB</p><p style='margin: 0'>Learn how to use MongoDB's aggregate() method to aggregate records.</p></td></tr><tr><td style='padding: 15px;'><p>2. Limit and Skip Records in a Single Query</p><p style='margin: 0'>Learn how we can limit and skip documents in MongoDB using the LIMIT() and SKIP() methods, respectively.</p></td></tr></tbody></table>

Database Programming

Database

Master MongoDB, an open-source document database and leading NoSQL database that provides high performance, high availability, and automatic scaling. This course covers the MongoDB Community version for beginners and provides over 50 live-running queries, including creating new databases and tables.

MongoDB Tutorial for Beginners (2022)

<strong>This video course helps you explore a wide range of MongoDB concepts. From the basics, including the installation process, to advanced topics such as database sharding and replication, you'll learn it all with the help of engaging examples and activities.</strong>
        <p>MongoDB is a popular choice among companies such as MTV, Craigslist, IBM, Uber, and eBay. If you want to develop MongoDB skills and build applications that scale, this course is for you. In no time, you'll cover the basic as well as advanced MongoDB topics and get ready to apply your skills in the real world.

The course begins with an introduction to MongoDB, guiding you through the installation process and helping you understand how MongoDB is different from other traditional NoSQL databases. With the help of a practical exercise, you'll learn how to connect MongoDB to an active Node.js server and advance to building schemas with prescribed datatypes, MongoDB methods, and the mongoose library. You'll also discover the benefits of domain-driven design principles. This course will show you how to perform operations such as posts, queries, and updates on your MongoDB database and give you an overview of embedded documents. Finally, you'll cover topics such as unit testing, pagination, indexing, sharding, and replication.

By the end of this course, you'll have developed the MongoDB skills needed to build a robust application that can handle an extensive database easily.

All the code and supporting files for this course are available on GitHub at https://github.com/PacktPublishing/MongoDB-from-Basics-to-Advanced</p>
        <h2>What You Will Learn</h2><p>Distinguish between MongoDB and other NoSQL databases<br>Connect MongoDB with a working Node.js server<br>Discover techniques for scaling a MongoDB application<br>Perform basic and dynamic queries on a MongoDB database<br>Use the sharding process to break large tables of data into smaller chunks<br>Understand how to perform unit testing in a MongoDB application</p>
        <h2>Audience</h2><p>If you are new to software development or an experienced application builder or database administrator looking to learn MongoDB from scratch, this course is for you. No prior experience in MongoDB is required.</p>
        <h2>Approach</h2><p>With the help of quizzes, examples, activities, and labs, this course helps you to understand and apply the concepts of MongDB with ease.</p>
        <h2>Key Features</h2><p>Find out why MongoDB is an excellent choice of database * Discover how to connect MongoDB to cloud services and local databases * Become familiar with sharding, testing, indexing, and replication</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/MongoDB-from-Basics-to-Advanced</p>
        <h2>About the Author</h2><h3>Eduonix Learning Solutions</h3><p>Eduonix learning Solutions is a premier training and skill development organization which was started with a vision to bring world class training content, pedagogy and best learning practices to everyone's doorsteps . Eduonix aims to identify and provide the best learning and training environment. It identifies industry veterans and content creators around the globe and bring it to the global audience using number of intuitive platforms for easy and affordable access to quality content. Eduonix offers easy to understand online courses and workshops for everyday people. If you have ever wanted to learn a new skill, but don't want to attend four years of college to do it, we have a solution for you.</p>
        <h2>Course Outline</h2><h4>1. MongoDB Overview</h4><p></p><br><h4>2. Add MongoDB to Node.js Server</h4><p></p><br><h4>3. Data Modeling and Schemas</h4><p></p><br><h4>4. Operations</h4><p></p><br><h4>5. Advanced Usage</h4><p></p>

This video course helps you explore a wide range of MongoDB concepts. From the basics, including the installation process, to advanced topics such as database sharding and replication, you'll learn it all with the help of engaging examples and activities.

MongoDB from Basics to Advanced

<div id="course-pills-1">Duration<p>5 Days</p><p>30 CPD hours</p>This course is intended for<p></p><p>Students in this course are interested in Azure development or in passing the Microsoft Azure Developer Associate certification exam.</p><p></p><p></p><p>This course teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn how to implement Azure compute solutions, create Azure Functions, implement and manage web apps, develop solutions utilizing Azure storage, implement authentication and authorization, and secure their solutions by using KeyVault and Managed Identities. Students will also learn how to connect to and consume Azure services and third-party services, and include event- and message-based models in their solutions. The course also covers monitoring, troubleshooting, and optimizing Azure solutions.</p><p></p>Prerequisites<p>To be successful in this course, learners should have the following: Hands-on experience with Azure IaaS and PaaS solutions, and the Azure Portal. Experience writing in an Azure supported language at the intermediate level. (C#, JavaScript, Python, or Java) Ability to write code to connect and perform operations on, a SQL or NoSQL database product. (SQL Server, Oracle, MongoDB, Cassandra or similar) Experience writing code to handle authentication, authorization, and other security principles at the intermediate level. A general understanding of HTML, the HTTP protocol and REST API interfaces.</p></div><div id="course-pills-2"><h3>1 - Explore Azure App Service</h3> <ul> <li>Examine Azure App Service</li> <li>Examine Azure App Service plans</li> <li>Deploy to App Service</li> <li>Explore authentication and authorization in App Service</li> <li>Discover App Service networking features</li> </ul> <h3>2 - Configure web app settings</h3> <ul> <li>Configure application settings</li> <li>Configure general settings</li> <li>Configure path mappings</li> <li>Enable diagnostic logging</li> <li>Configure security certificates</li> </ul> <h3>3 - Scale apps in Azure App Service</h3> <ul> <li>Examine autoscale factors</li> <li>Identify autoscale factors</li> <li>Enable autoscale in App Service</li> <li>Explore autoscale best practices</li> </ul> <h3>4 - Explore Azure App Service deployment slots</h3> <ul> <li>Explore staging environments</li> <li>Examine slot swapping</li> <li>Swap deployment slots</li> <li>Route traffic in App Service</li> </ul> <h3>5 - Explore Azure Functions</h3> <ul> <li>Discover Azure Functions</li> <li>Compare Azure Functions hosting options</li> <li>Scale Azure Functions</li> </ul> <h3>6 - Develop Azure Functions</h3> <ul> <li>Explore Azure Functions development</li> <li>Create triggers and bindings</li> <li>Connect functions to Azure services</li> </ul> <h3>7 - Explore Azure Blob storage</h3> <ul> <li>Explore Azure Blob storage</li> <li>Discover Azure Blob storage resource types</li> <li>Explore Azure Storage security features</li> <li>Discover static website hosting in Azure Storage</li> </ul> <h3>8 - Manage the Azure Blob storage lifecycle</h3> <ul> <li>Explore the Azure Blob storage lifecycle</li> <li>Discover Blob storage lifecycle policies</li> <li>Implement Blob storage lifecycle policies</li> <li>Rehydrate blob data from the archive tier</li> </ul> <h3>9 - Work with Azure Blob storage</h3> <ul> <li>Explore Azure Blob storage client library</li> <li>Create a client object</li> <li>Manage container properties and metadata by using .NET</li> <li>Set and retrieve properties and metadata for blob resources by using REST</li> </ul> <h3>10 - Explore Azure Cosmos DB</h3> <ul> <li>Identify key benefits of Azure Cosmos DB</li> <li>Explore the resource hierarchy</li> <li>Explore consistency levels</li> <li>Choose the right consistency level</li> <li>Explore supported APIs</li> <li>Discover request units</li> </ul> <h3>11 - Work with Azure Cosmos DB</h3> <ul> <li>Explore Microsoft .NET SDK v3 for Azure Cosmos DB</li> <li>Create stored procedures</li> <li>Create triggers and user-defined functions</li> <li>Explore change feed in Azure Cosmos DB</li> </ul> <h3>12 - Manage container images in Azure Container Registry</h3> <ul> <li>Discover the Azure Container Registry</li> <li>Explore storage capabilities</li> <li>Build and manage containers with tasks</li> <li>Explore elements of a Dockerfile</li> </ul> <h3>13 - Run container images in Azure Container Instances</h3> <ul> <li>Explore Azure Container Instances</li> <li>Run containerized tasks with restart policies</li> <li>Set environment variables in container instances</li> <li>Mount an Azure file share in Azure Container Instances</li> </ul> <h3>14 - Implement Azure Container Apps</h3> <ul> <li>Explore Azure Container Apps</li> <li>Explore containers in Azure Container Apps</li> <li>Implement authentication and authorization in Azure Container Apps</li> <li>Manage revisions and secrets in Azure Container Apps</li> <li>Explore Dapr integration with Azure Container Apps</li> </ul> <h3>15 - Explore the Microsoft identity platform</h3> <ul> <li>Explore the Microsoft identity platform</li> <li>Explore service principals</li> <li>Discover permissions and consent</li> <li>Discover conditional access</li> </ul> <h3>16 - Implement authentication by using the Microsoft Authentication Library</h3> <ul> <li>Explore the Microsoft Authentication Library</li> <li>Initialize client applications</li> </ul> <h3>17 - Implement shared access signatures</h3> <ul> <li>Discover shared access signatures</li> <li>Choose when to use shared access signatures</li> <li>Explore stored access policies</li> </ul> <h3>18 - Explore Microsoft Graph</h3> <ul> <li>Discover Microsoft Graph</li> <li>Query Microsoft Graph by using REST</li> <li>Query Microsoft Graph by using SDKs</li> <li>Apply best practices to Microsoft Graph</li> </ul> <h3>19 - Implement Azure Key Vault</h3> <ul> <li>Explore Azure Key Vault</li> <li>Discover Azure Key Vault best practices</li> <li>Authenticate to Azure Key Vault</li> </ul> <h3>20 - Implement managed identities</h3> <ul> <li>Explore managed identities</li> <li>Discover the managed identities authentication flow</li> <li>Configure managed identities</li> <li>Acquire an access token</li> </ul> <h3>21 - Implement Azure App Configuration</h3> <ul> <li>Explore the Azure App Configuration service</li> <li>Create paired keys and values</li> <li>Manage application features</li> <li>Secure app configuration data</li> </ul> <h3>22 - Explore API Management</h3> <ul> <li>Discover the API Management service</li> <li>Explore API gateways</li> <li>Explore API Management policies</li> <li>Create advanced policies</li> <li>Secure APIs by using subscriptions</li> <li>Secure APIs by using certificates</li> </ul> <h3>23 - Explore Azure Event Grid</h3> <ul> <li>Explore Azure Event Grid</li> <li>Discover event schemas</li> <li>Explore event delivery durability</li> <li>Control access to events</li> <li>Receive events by using webhooks</li> <li>Filter events</li> </ul> <h3>24 - Explore Azure Event Hubs</h3> <ul> <li>Discover Azure Event Hubs</li> <li>Explore Event Hubs Capture</li> <li>Scale your processing application</li> <li>Control access to events</li> <li>Perform common operations with the Event Hubs client library</li> </ul> <h3>25 - Discover Azure message queues</h3> <ul> <li>Choose a message queue solution</li> <li>Explore Azure Service Bus</li> <li>Discover Service Bus queues, topics, and subscriptions</li> <li>Explore Service Bus message payloads and serialization</li> <li>Explore Azure Queue Storage</li> <li>Create and manage Azure Queue Storage and messages by using .NET</li> </ul> <h3>26 - Monitor app performance</h3> <ul> <li>Explore Application Insights</li> <li>Discover log-based metrics</li> <li>Instrument an app for monitoring</li> <li>Select an availability test</li> <li>Troubleshoot app performance by using Application Map</li> </ul> <h3>27 - Develop for Azure Cache for Redis</h3> <ul> <li>Explore Azure Cache for Redis</li> <li>Configure Azure Cache for Redis</li> <li>Interact with Azure Cache for Redis by using .NET</li> </ul> <h3>28 - Develop for storage on CDNs</h3> <ul> <li>Explore Azure Content Delivery Networks</li> <li>Control cache behavior on Azure Content Delivery Networks</li> <li>Interact with Azure Content Delivery Networks by using .NET</li> </ul></div>

Microsoft AZ-900

Microsoft AZ-104

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

AWS Certified Solutions Architect

AZ-204T00 Developing Solutions for Microsoft Azure

JavaScript

Web Development

NodeJS allows you to build complex and powerful applications quickly and easily, writing JavaScript code. It also allows you to use JavaScript for web applications with flexibility for a wide range of different purposes. Learn about MongoDB as a database and how to build it as well as Express as a framework to build web apps on top of Node.js.

NodeJS, MongoDB, and Express - Beginner to Intermediate JavaScript

<p>Embark on a transformative journey into the realm of cutting-edge development with our course, '<strong>Master Spring Boot 3.0 and MongoDB.</strong>' Crafted with precision and innovation, this course is a gateway to mastering the intricate dance between Spring Boot and MongoDB, providing you with the skills to revolutionize your coding prowess. Immerse yourself in an engaging learning experience, where each section unfolds like a chapter in a captivating novel, unveiling the secrets of MongoDB, the nuances of Bootstrapping applications, and the artistry of integrating OpenAPI. It's more than a course; it's an odyssey into the heart of modern development, beckoning you to embrace a new era of programming possibilities.</p>
<p>In this dynamic learning adventure, traverse through the course curriculum like an explorer unraveling a map to success. From laying the groundwork in the introduction to conquering complex queries and MongoDB templates, you'll navigate the landscape of development with confidence. The course is not just about acquiring knowledge; it's about transforming that knowledge into practical expertise. Whether you're a novice eager to embark on a coding expedition or a seasoned developer seeking to enhance your skills, this course is your compass to navigate the vast territories of Spring Boot and MongoDB, promising a voyage filled with discovery and mastery.</p>
<p><strong>Learning Outcomes</strong></p>
<ul>
<li>Develop a profound understanding of MongoDB, from environmental preparation to advanced query methods.</li>
<li>Master the art of bootstrapping applications, gaining hands-on experience in crafting robust and efficient systems.</li>
<li>Uncover the intricacies of collections relationships and the use of DBRef, adding a layer of sophistication to your database interactions.</li>
<li>Seamlessly integrate OpenAPI into your projects, enhancing the accessibility and documentation of your applications.</li>
<li>Acquire expertise in document queries and MongoDB templates, empowering you to build scalable and efficient databases.</li>
</ul>
<h3><b>Why choose this Master Spring boot 3.0 and MongoDB<span> course</span>?</b></h3>
<ol>
<li>Unlimited access to the course for a lifetime.</li>
<li>Opportunity to earn a certificate accredited by the <b>CPD Quality Standards</b> and <b>CIQ </b>after completing this course.</li>
<li>Structured lesson planning in line with industry standards.</li>
<li>Immerse yourself in innovative and captivating course materials and activities.</li>
<li>Assessments designed to evaluate advanced cognitive abilities and skill proficiency.</li>
<li>Flexibility to complete the Course at your own pace, on your own schedule.</li>
<li>Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.</li>
<li>Unlock career resources for CV improvement, interview readiness, and job success.</li>
</ol>
<h3><b>Who is this Master Spring boot 3.0 and MongoDB<span> </span></b><b><span>course </span></b><b>for?</b></h3>
<ul>
<li>Aspiring developers keen on mastering the Spring Boot-MongoDB synergy.</li>
<li>Software engineers looking to deepen their understanding of advanced database operations.</li>
<li>Students and coding enthusiasts eager to explore the latest tools in the development landscape.</li>
<li>Professionals seeking to upgrade their skill set in line with industry demands.</li>
<li>Entrepreneurs or tech enthusiasts aiming to build robust applications from the ground up.</li>
</ul>
<h3><b>Career path</b></h3>
<ul>
<li><strong>MongoDB Developer:</strong> £40,000 - £60,000</li>
<li><strong>Spring Boot Engineer:</strong> £45,000 - £70,000</li>
<li><strong>Database Architect:</strong> £55,000 - £80,000</li>
<li><strong>Full Stack Developer:</strong> £50,000 - £75,000</li>
<li><strong>Java Developer (Specializing in Spring Boot):</strong> £45,000 - £65,000</li>
<li><strong>API Integration Specialist:</strong> £50,000 - £70,000</li>
</ul>
<h3><b>Prerequisites</b></h3>
<p><span>This </span><b>Master Spring boot 3.0 and MongoDB</b><span> does not require you to have any prior qualifications or experience. You can just enrol and start learning. This </span><b>Master Spring boot 3.0 and MongoDB</b><span> was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.</span></p>
<h3><b>Certification</b></h3>
<p><span>After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.</span></p><div>
				<h3>
	<span>Course Curriculum</span>
</h3>

<div>
<table width="100%">				<tbody><tr>
					<td colspan="4">Section 01: Introduction</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is MongoDB</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Difference Between SQL and NoSQL</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>How to Choose Between SQL and NoSQL</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 02: Prepare The Mongo Environment</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>MongoDB UI Tools</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Why Use Docker for Development</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create an Empty Docker Compose File</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mongo Server (Docker Compose)</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Mongo Express (Docker Compose)</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Run and Test</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 03: Mongo Terms</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Collections and Documents in Mongo</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 04: Bootstrapping The Application</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a New Spring Boot 3.0 Project</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Project Structure</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Include the Docker Compose with the Project and Run It</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Project Architecture</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Connect to MongoDB</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a New Database</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Understand Admin - Local and Config Databases</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Java Class</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Transform the Java Class into a Collection</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Mongo Repository</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Insert the First Data into the Collection</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Product Service</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Save the product</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Find Product by ID</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Find All Products</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Delete Product</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 05: CRUD Operations</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create Product Controller</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Save Product Operation</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Find All Products</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Find Product by ID</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Delete Product</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Test the CRUD Operations</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 06: DBRef And Collections Relationships</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Extend the Product Model</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create Category Java Class</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>User Category as a Field</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Relationship between Category and Product</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Transform the Category to a Collection</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Category Repository</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Insert Categories at Startup</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>The Issue in Linking Collections</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Add Relationship Between Collections</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 07: OpenApi Integration</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Add OpenApi Dependency</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Test and Play with Swagger UI</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 08: Documents Queries And Mongo Template</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Extend the Product Model</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Search Service</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>What is MongoTemplate</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Is() Query</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Testing the Is() Query</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Regex() Query</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Lt() Query</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Gt() Query</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Sorting Data</td>
					<td> </td>
					<td><span><i></i> 00:05:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Paging and Sorting</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td colspan="4">Section 09: Query Methods</td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Create a Query Method Service</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FindByX Query</td>
					<td> </td>
					<td><span><i></i> 00:06:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX Ignore Case Query</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX starting with query</td>
					<td> </td>
					<td><span><i></i> 00:03:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX ending with query</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX containing query</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX less than</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX greater than</td>
					<td> </td>
					<td><span><i></i> 00:01:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX between</td>
					<td> </td>
					<td><span><i></i> 00:02:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>FinByX and SortByY</td>
					<td> </td>
					<td><span><i></i> 00:04:00</span></td>
				</tr>
								<tr>
					<td><i></i></td>
					<td>Paging and Sorting</td>
					<td> </td>
					<td><span><i></i> 00:07:00</span></td>
				</tr>
				</tbody></table></div>

			</div>

Studyhub UK

Master Spring boot 3.0 and MongoDB

<strong>Create a real-world backend for a Bootcamp directory app</strong>
        <p>This course will help you to create an extensive, in-depth backend API for DevCamper, a Bootcamp directory app. You'll learn how to deploy a professional API with documentation from the ground up.
The course starts with an overview of the project and an introduction to the HTTP essentials and Postman client. You'll study HTTP status codes and how to send data to the server. The next section of the course will take you through the DevCamper project and show you how to create routes and responses in Express along with creating controller methods. As you make progress, you'll learn how to create, fetch, and update and delete Bootcamps. You'll also get to grips with the concepts of authentication, users, and permissions.
By the end of the course, you'll be able to build a real-world backend RESTful API for a Bootcamp directory app and have learned about advanced Mongoose queries.</p>
        <h2>What You Will Learn</h2><p>Create a real-world backend RESTful API for a Bootcamp directory app<br>Get to grips with HTTP fundamentals, including Req/Res Cycle and status codes<br>Understand advanced Mongoose queries<br>Explore API security   NoSQL injection, XSS protection, and rate-limiting<br>Work on API documentation and deployment</p>
        <h2>Audience</h2><p>This course is for anyone who wants to learn backend web development with Node. If you are a React, Vue, or Angular frontend developer looking to become a full-stack developer, you'll find this course useful.</p>
        <h2>Approach</h2><p>A project-based course to guide you in building an extensive backend API for a Bootcamp directory app in a step-by-step manner.</p>
        <h2>Key Features</h2><p>Gain proficiency in building an in-depth backend API for DevCamper * Work with Node, Express, and MongoDB * Create a custom database seeder using JSON files</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/node.js-api-masterclass-with-express-and-mongodb</p>
        <h2>About the Author</h2><h3>Brad Traversy</h3><p>Brad Traversy has been programming for around 12 years and teaching for almost 5 years. He is the owner of Traversy Media, which is a successful web development YouTube channel and specializes in everything from HTML5 to front-end frameworks such as Angular as well as server-side technologies such as Node.js, PHP, and Python. Brad has mastered explaining overly complex topics in a simple manner that is understandable. Invest in your knowledge by watching Brad's courses.</p>
        <h2>Course Outline</h2><h4>1. Welcome To The Course</h4><p></p><br><h4>2. HTTP Intro - Headers, Body, Status Codes, etc</h4><p></p><br><h4>3. Starting Our DevCamper Project</h4><p></p><br><h4>4. Getting Started With MongoDB & Bootcamps Resource</h4><p></p><br><h4>5. Custom Error Handling & Mongoose Middleware</h4><p></p><br><h4>6. Mongoose Advanced Querying & Relationships</h4><p></p><br><h4>7. Authentication, Users & Permissions - Part 1</h4><p></p><br><h4>8. Authentication, Users & Permissions - Part 2</h4><p></p><br><h4>9. Bootcamp Reviews & Ratings</h4><p></p><br><h4>10. API Security</h4><p></p><br><h4>11. Documentation & Deploy</h4><p></p>

Create a real-world backend for a Bootcamp directory app

Node.js API Masterclass with Express and MongoDB

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This introductory-level course is for experienced DBAs who will be working with MongoDB. In order to gain the most from this course you should have:<br />Prior practical experience in Database Administration<br />Experience working with Linux and be comfortable working with command line</p>Overview<p>This skills-focused course is approximately 50% hands-on. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will explore:<br />The MongoDB Basic Architecture and Installation<br />MongoDB administration<br />User Management<br />MongoDB security<br />Indexes<br />Backup &amp; Recovery<br />High Availability / Replication<br />Diagnostics &amp; Troubleshooting</p><p>MongoDB is fast becoming the database of choice for big data applications, being one of the most popular and widely implemented NoSQL databases. Its scalability, robustness, and flexibility have made it extremely popular among business enterprises who use it to implement a variety of activities including social communications, analytics, content management, archiving and other activities. This has led to an increased demand for MongoDB administrators who have the skills to handle cross functional duties. Geared for experienced DBAs, MongoDB for DBAs is a three-day hands-on course that explores the concepts, architecture and pitfalls of managing a MongoDB installation. This course is targeted to the DBA who is familiar with the concepts and tasks of working with a Relational database and is not responsible for a NoSQL MongoDB database. You will learn the critical aspects of MongoDB and use it to solve data management challenges. You will learn to manage MongoDB effectively by gaining expertise in MongoDB administration tools, syntax, MongoDB installations, configurations, security, troubleshooting, backup, scaling and many other features. The focus of this course is on practical skills and applying the DBA existing database knowledge to a MongoDB installation.</p></div><div id="course-pills-2"><h4>Introduction to MongoDB Basic</h4><ul><li>Architecture and Installation</li><li>Differentiate database categories</li><li>Learn MongoDB design goals</li><li>List MongoDB tools</li><li>Describe JSON and BSON</li><li>Understanding the basic concepts of a Database</li><li>Database categories: What is NoSQL? Why NoSQL? Benefit over RDBMS</li><li>Types of NoSQL Database, and NoSQL vs. SQL Comparison, ACID &amp; Base Property</li><li>CAP Theorem, implementing NoSQL and what is MongoDB?</li><li>Graph Database</li><li>Overview of MongoDB, Design Goals for MongoDB Server and Database, MongoDB tools</li><li>Understanding the following: Collection, Documents and Key/Values, etc.,</li><li>Introduction to JSON and BSON documents</li><li>Environment setup (live Handson) and using various MongoDB tools available in the MongoDB Package</li></ul><h4>MongoDB Administration</h4><ul><li>Take database backup and restore MongoDBÂ©</li><li>Export and import data from/ to a MongoDBÂ© instance</li><li>Check server status and DB status</li><li>Monitor various resource utilization of a mongod instance</li><li>Understand various optimization strategies</li><li>Administration concepts in MongoDB</li><li>Monitoring issues related to Database</li><li>Monitoring at Server, Database, Collection level, and various Monitoring tools related to MongoDB</li><li>Database Profiling, Locks, Memory Usage, No of connections, page fault etc.,</li><li>Backup and Recovery Methods for MongoDB</li><li>Export and Import of Data to and from MongoDB</li><li>Run time configuration of MongoDB</li><li>Production notes/ best practices</li><li>Data Managements in MongoDB (Capped Collections/ Expired data from TTL),</li><li>TTL Collection Features</li><li>GridFS</li><li>Memory-Mapped Files</li><li>Journaling Mechanics</li><li>Storage Engines</li><li>Power of 2-Sized Allocations</li><li>No Padding Allocation Strategy</li><li>Diagnosing Performance Issues</li><li>Optimization Strategies for MongoDB</li><li>Configure Tag Sets for Replica Set. Optimize Query Performance</li><li>Monitoring Strategies for MongoDB . MongoDB Utilities</li><li>MongoDB Commands</li><li>MongoDB Management Service (MMS)</li><li>Data Backup Strategies in MongoDB</li><li>Copying Underlying Data Files</li><li>Backup with MongoDump</li><li>Fsync and Lock</li><li>MongoDB Ops Manager Backup Software</li><li>Security Strategies in MongoDB</li><li>Authentication Implementation in MongoDB . Authentication in a Replica set</li><li>Authentication on Sharded Clusters</li><li>Authorization</li><li>End-to-End Auditing for Compliance</li></ul><h4>User Management</h4><ul><li>Create a User Administrator.</li><li>Add a User to a Database.</li><li>Create/Assign User a Role. </li><li>Verify/Modify a User Access/Privileges.</li><li>Change a User?s Password</li></ul><h4>MongoDB Security</h4><ul><li>Knowing security concepts in MongoDB</li><li>Understand how Authentication and Authorisation works</li><li>Security Introduction</li><li>Security Concepts</li><li></li></ul><h4>Indexes</h4><ul><li>Index Introduction,</li><li>Index Concepts,</li><li>Index Types</li><li>Index Properties</li><li>Index Creation and Indexing Reference</li><li>Introduction to Aggregation</li><li>Aggregation Approach to Aggregation sort Order</li><li>Pipeline Operators and Indexes</li><li>Text Indexes</li><li>Aggregate Pipeline Stages</li><li>Text Search</li><li>MapReduce</li><li>Index Creation</li><li>Aggregation Operations</li><li>Index Creation on Replica Set</li><li>Remove, Modify, and Rebuild Indexes</li><li>Listing Indexes</li><li>Measure Index Use</li><li>Control Index Use</li><li>Index Use Reporting</li><li>Geospatial Indexes</li><li>MongoDB?s Geospatial Query Operators</li><li>GeoWith Operator</li></ul><h4>Backup &amp; Recovery</h4><ul><li>Import and Export MongoDB Data</li><li>Restore and recovery of MongoDB(Including point in time Recovery)</li><li>Restore a Replica Set from MongoDB Backups</li><li>Recover Data after an Unexpected Shutdown</li><li>Backup and Restore with Filesystem Snapshots</li><li>Back Up and Restore with MongoDB Tools</li><li>Backup and Restore Sharded Clusters</li></ul><h4>High Availability (Replication )</h4><ul><li>Understand the concept of Replication in MongoDBÂ© ? Create a production like Replica Set</li><li>Introduction to Replication (High Availability), Concepts around Replication</li><li>What is Replica Set and Master Slave Replication?</li><li>Type of Replication in MongoDB</li><li>How to setup a replicated cluster &amp; managing replica sets etc.,</li><li>Master-Slave Replication</li><li>Replica Set in MongoDB</li><li>Automatic Failover</li><li>Replica Set Members</li><li>Write Concern</li><li>Write Concern Levels</li><li>Write Concern for a Replica Set</li><li>Modify Default Write Concern</li><li>Read Preference</li><li>Read Preference Modes</li><li>Blocking for Replication</li><li>Tag Set</li><li>Configure Tag Sets for Replica set. Replica Set Deployment Strategies . Replica Set Deployment Patterns</li><li>Oplog File</li><li>Replication State and Local Database, Replication Administration</li></ul><h4>Diagnostics &amp; Troubleshooting</h4><ul><li>Troubleshoot slow queries</li><li>Diagnose connectivity problems</li><li>Understand diagnostic tools</li><li>Learn common production issues</li><li>Learn fixes and solutions. </li></ul></div><div id="course-pills-3"><h4>Additional course details:</h4><br /><p>Nexus Humans Introduction to MongoDB for DBAs (TTDB4680) 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 Introduction to MongoDB for DBAs (TTDB4680) 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>

Database Management Systems

Data Management

Database Administration

Database Management

Introduction to MongoDB for DBAs (TTDB4680)

<div id="course-pills-1">Duration<p>3 Days</p><p>18 CPD hours</p>This course is intended for<p>This introductory-level course is for experienced application developers new to MongoDB.</p>Overview<p>This course is approximately 50% hands-on lab to lecture ratio, combining engaging expert lessons, demos and group discussions with real-world, skills-focused machine-based labs and exercises. Working in a hands-on learning environment, guided by our expert team, you'll explore:<br />Storage Basics<br />MongoDB Document Model<br />MongoDB Setup<br />CRUD: Basics through Advanced Concepts<br />Performance: Basics through Advanced Concepts<br />Aggregation: Basics through Advanced Concepts<br />Replication: Basics through Advanced Concepts<br />Sharding: Basics through Advanced Concepts<br />Schema Design<br />Security Basics, Authentication &amp; Authorization<br />Application Development and Drivers</p><p>Geared for experienced developers, Introduction to MongoDB for Developers is a comprehensive course that provides you with hands-on experience with the MongoDB query language, aggregation framework, data modeling, indexes, drivers, basic performance tuning, high availability and scaling. Throughout the course, you?ll explore the MongoDB Atlas database environment in detail, gaining job-ready skills you can put right to work after class.</p></div><div id="course-pills-2"><h4>Storage Basics</h4><ul><li>What is a Storage Engine?</li><li>WiredTiger Storage Engine</li><li>In-Memory Storage Engine</li><li>Encrypted Storage Engine</li></ul><h4>MongoDB Document Model</h4><ul><li>JSON and BSON</li><li>MongoDB Data Types</li><li></li></ul><h4>MongoDB Setup</h4><ul><li>Atlas Setup / Local MongoDB Setup</li></ul><h4>CRUD Basics</h4><ul><li>Insert Command</li><li>Find Command</li><li>Query Operators</li><li>Remove Command</li><li>Updating Documents</li></ul><h4>CRUD Advanced</h4><ul><li>Bulk Writes</li><li>Retryable Writes</li><li>Find and Modify</li><li>Transactions</li></ul><h4>Performance Basics</h4><ul><li>Indexes</li></ul><h4>Aggregation Basics</h4><ul><li>Aggregation Pipeline Concepts<br />Aggregation Pipeline Stages<br />Aggregation Pipeline Expressions</li></ul><h4>Aggregation Advanced</h4><ul><li>$lookup stage</li><li>$graphLookup stage</li><li>$expr operator</li><li>Faceted Search</li><li>Type Conversions</li><li>Advanced Expression Operators</li><li>Date Expression Operators</li><li>Expression Variables</li><li>Aggregation Pipeline Optimizations</li><li>Aggregation in a Sharded Cluster</li></ul><h4>Replication Basics</h4><ul><li>MongoDB Replica Sets</li><li>Replica Set Use Cases</li><li>Replication Mechanics</li><li></li></ul><h4>Replication Advanced</h4><ul><li>Using Write Concern to Tune Durability Semantics</li><li>Using Read Concern to Tune Read Isolation</li><li>Using Read Preference</li><li>Replica Set Tag Sets</li></ul><h4>Sharding Basics</h4><ul><li>Sharding Concepts</li><li>When to Shard</li><li>What is a Shard Key?</li><li>Zoned Sharding / MongoDB Atlas Global Clusters</li></ul><h4>Sharding Advanced</h4><ul><li>Components of a Sharded Cluster</li><li>Sharding Mechanics</li><li>Choosing a Good Shard Key</li></ul><h4>Schema Design</h4><ul><li>Schema Design Core Concepts</li><li>Common Patterns</li></ul><h4>Security Basics</h4><ul><li>Authentication &amp; Authorization</li><li>Network Encryption</li><li>Encryption at Rest</li><li>Auditing</li></ul></div>

Dementia Training

Introduction to MongoDB for Developers (TTDB4683)

<strong>Welcome to our hands-on video course, where you will learn technologies, such as React, Redux Toolkit, Express, and MongoDB. You will learn how to structure your code using Redux Toolkit, implement powerful features with React, and create a robust backend using Express and MongoDB. An understanding of modern JS fundamentals and the basics of React will be an add-on.</strong>
        <p>Welcome to our comprehensive course, which will cover all the essential topics and techniques you need to know to create a robust and scalable eCommerce application. We will begin by exploring the fundamentals of React, focusing on functional components and hooks. We will cover topics such as component state, props, and lifecycle methods, allowing you to build dynamic and interactive user interfaces.

Next, we will dive into React Router, a popular routing library for React applications. You will learn how to handle navigation, create dynamic routes, and pass parameters between different components. To enhance the visual appeal and responsiveness of your application, we will introduce React-Bootstrap, a versatile UI library. Managing the global state of your application is a critical aspect of building complex projects. We will introduce you to Redux, a popular state management library, and guide you through the process of integrating it into your eCommerce platform. You will learn about actions, reducers, and the Redux store, enabling you to manage the application's state efficiently.

You will learn how to handle routes, perform CRUD operations, and implement authentication and authorization mechanisms. You will integrate MongoDB, a popular NoSQL database, using the Mongoose Object Data Modeling (ODM) library. We will cover JWT authentication (JSON web tokens) with HTTP-Only cookies, providing a robust authentication mechanism to protect your users' sensitive data.

By the end of this course, you will have gained a comprehensive understanding of building a full-stack eCommerce platform from scratch.</p>
        <h2>What You Will Learn</h2><p>Explore the React-Bootstrap UI library<br>Learn to structure components<br>Manage global state with Redux (actions and reducers)<br>Create an extensive backend with Express<br>Learn JWT authentication HTTP-Only cookie<br>Create custom authentication middleware</p>
        <h2>Audience</h2><p>This course is designed for full-stack web developers who are interested in learning the MERN stack (MongoDB, Express, React, and Node.js) by building a real-world application. Whether you are a beginner looking to gain hands-on experience or an experienced developer seeking to expand your skill set, this course will provide you with the knowledge and practical skills needed to build a robust and scalable web application.</p>
        <h2>Approach</h2><p>Build a custom eCommerce platform with React, Redux, Node, Express, and MongoDB<br>Build an actual real-world project in a linear and progressive manner<br>Work with MongoDB database and the Mongoose ODM</p>
        <h2>Key Features</h2><p>Build a custom eCommerce platform with React, Redux, Node, Express, and MongoDB * Build an actual real-world project in a linear and progressive manner * Work with the MongoDB database and the Mongoose ODM</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/MERN-eCommerce-from-Scratch</p>
        <h2>About the Author</h2><h3>Brad Traversy</h3><p>Brad Traversy has been programming for around 12 years and teaching for almost 5 years. He is the owner of Traversy Media, which is a successful web development YouTube channel and specializes in everything from HTML5 to front-end frameworks such as Angular as well as server-side technologies such as Node.js, PHP, and Python. Brad has mastered explaining overly complex topics in a simple manner that is understandable. Invest in your knowledge by watching Brad's courses.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Starting The Front End</h4><p></p><br><h4>3. Serving & Fetching Data</h4><p></p><br><h4>4. Starting MongoDB & Mongoose</h4><p></p><br><h4>5.  Redux Toolkit Setup & State Management</h4><p></p><br><h4>6. Shopping Cart Functionality</h4><p></p><br><h4>7. Backend Authentication</h4><p></p><br><h4>8. Frontend Authentication</h4><p></p><br><h4>9. Checkout Process - Part 1</h4><p></p><br><h4>10.  Checkout Process - Part 2</h4><p></p><br><h4>11. Admin Functionality</h4><p></p><br><h4>12.  Reviews, Search & More</h4><p></p><br><h4>13. Deploy To Production</h4><p></p>

Welcome to our hands-on video course, where you will learn technologies, such as React, Redux Toolkit, Express, and MongoDB. You will learn how to structure your code using Redux Toolkit, implement powerful features with React, and create a robust backend using Express and MongoDB. An understanding of modern JS fundamentals and the basics of React will be an add-on.

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