Name: Learn MySQL from scratch for Data Science and Analytics
Price: 9.99 GBP
Availability: InStock

<p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Have you ever been intrigued by the power behind the most revolutionary software applications? Do you wonder how these applications transform from mere ideas into functional products that ease life&#39;s tasks?</strong> Dive deep into the world of software development with our comprehensive "Software Development Career Track" bundle of <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">twenty</strong> courses! Within this bundle, you&#39;ll traverse from the fundamentals of Coding with Scratch to advanced JavaScript Python and even delve into Game Development using Unity 3D. Explore the wonders of Web Design, dive into Data Analytics with SQL, and embrace the intricacies of Kotlin, the Android coding bible. There&#39;s no stone left unturned, with courses covering the depths of PHP, the world of AWS SageMaker Canvas, and mastering the essentials of Linux Security. Your software development journey starts here.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Unlock the future of software development today! Embark on a journey that transforms your curiosity into skills. Don&#39;t just dream, build. Enrol now and shape tomorrow&#39;s digital world!</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Software Development Courses List:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 1: </strong>Coding with Scratch</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 2: </strong>C++ Development: The Complete Coding Guide</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 3: </strong>Basic HTML 5</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 4: </strong>JavaScript Advanced Training</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 5: </strong>Python Advanced Training</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 6: </strong>The Complete SQL from Scratch: Bootcamp</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 7: </strong>Easy to Advanced Data Structures</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 8: </strong>SQL for Data Science, Data Analytics and Data Visualization</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 9: </strong>Learn Web Development from Scratch</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 10: </strong>Web Design for Beginners: Build Websites in HTML &amp; CSS</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 11: </strong>Kotlin Masterclass Programming Course: Android Coding Bible</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 12: </strong>jQuery Masterclass Course: JavaScript and AJAX Coding Bible</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 13: </strong>Secure Programming of Web Applications - Developers and TPMs</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 14: </strong>Developing Game in Unity 3D</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 15: </strong>Game Development using Cocos2d-x v3 C++</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 16: </strong>PHP for Beginners 2023 Guide: Develop an ECommerce Store</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 17: </strong>PHP for Beginners: PDO Crash Course 2021</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 18: </strong>Machine Learning Model Using AWS SageMaker Canvas</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 19: </strong>WordPress Security Mastery</li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 20: </strong>Linux Security and Hardening</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes:</strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Gain a foundational understanding of programming languages like Scratch, C++, HTML5, JavaScript, Python, and Kotlin.</li><li fr-original-style="" style="box-sizing: border-box;">Understand the intricacies of web development and design, ranging from basic website development to e-commerce platform creation.</li><li fr-original-style="" style="box-sizing: border-box;">Delve into data structures, SQL&#39;s utility in data science, analytics, and visualisation.</li><li fr-original-style="" style="box-sizing: border-box;">Master game development techniques using Unity 3D and Cocos2d-x v3 C++.</li><li fr-original-style="" style="box-sizing: border-box;">Acquire knowledge on machine learning with AWS SageMaker Canvas.</li><li fr-original-style="" style="box-sizing: border-box;">Grasp essential security aspects from WordPress protection to Linux hardening.</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This dynamic Software Development Career Track bundle serves as a ladder, guiding you through the steps of software development. Starting with the foundational elements, you&#39;re introduced to Scratch&#39;s simplistic yet effective world, gradually escalating to the dynamic languages like C++ and Kotlin. As you advance, delve into the vibrant realm of web development and design, unlocking the potential to craft and curate seamless websites using HTML &amp; CSS, paired with interactive features facilitated by JavaScript and jQuery.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Transition from web design to data with courses focusing on SQL&#39;s various applications, be it in straightforward data structures or the vast domains of science, analytics, and visualisation. But software development isn&#39;t just about creating - it&#39;s also about protecting. Hence, our curated content ensures you grasp the nuances of securing digital entities, from WordPress platforms to entire Linux systems. And for those with a passion for animation and virtual worlds, the game development courses promise a thrilling voyage into Unity 3D and Cocos2d-x v3 C++ realms.</p><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Aspiring software developers keen on understanding the broader spectrum of the field.</li><li fr-original-style="" style="box-sizing: border-box;">Web designers and developers aiming to expand their skill set.</li><li fr-original-style="" style="box-sizing: border-box;">Data enthusiasts wanting to harness the power of SQL in analytics.</li><li fr-original-style="" style="box-sizing: border-box;">Game developers aspiring to master tools like Unity 3D.</li><li fr-original-style="" style="box-sizing: border-box;">IT professionals keen on deepening their knowledge in security and hardening.</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Requirements</div>
    </h2>

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

                        <div id="career_path" fr-original-style="" style="box-sizing: border-box;">
                            <ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Software Developer</li><li fr-original-style="" style="box-sizing: border-box;">Web Developer</li><li fr-original-style="" style="box-sizing: border-box;">Data Analyst</li><li fr-original-style="" style="box-sizing: border-box;">Game Developer</li><li fr-original-style="" style="box-sizing: border-box;">Security Specialist</li><li fr-original-style="" style="box-sizing: border-box;">WordPress Developer</li><li fr-original-style="" style="box-sizing: border-box;">Linux System Administrator</li></ul>
                        </div><h2 fr-original-style="" style="box-sizing: border-box;">
        
        <div fr-original-style="" style="box-sizing: border-box;">Certificates</div>
    </h2>

                        <div id="optional_extras" fr-original-style="" style="box-sizing: border-box;">
                                    <h4 fr-original-style="" style="box-sizing: border-box;">CPD Certificate Of Completion</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Digital certificate -
            Included
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">20 Digital Certificates Are Included With This Bundle</p></div>
        <h4 fr-original-style="" style="box-sizing: border-box;">CPD Quality Standard Hardcopy Certificate (FREE UK Delivery)</h4>
        <p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">
            Hard copy certificate -
            &pound;9.99
        </p>
            <div fr-original-style="" style="box-sizing: border-box;"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Hardcopy Transcript: &pound;9.99</p></div>

                        </div>

NextGen Learning

Learning & Development

Online Course Creation

Computing & Software Development Tools

Digital Skills

Software Development

Continuous Professional Development (CPD)

Software Development Career Track - 20 Courses Bundle

General Admission

<p><strong> Fall into Savings. Enjoy the biggest price fall this Autumn! </strong></p><p>Tired of browsing and searching for a <strong>Practice Nurse Courses </strong> you are looking for? Can't find the complete package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this extensive bundle that has everything you need to succeed.</p><p>After surveying thousands of learners just like you and considering their valuable feedback, this all-in<strong>-</strong>one Practice Nurse Courses bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand Practice Nurse Courses that will enhance your skills and prepare you for the competitive job market.</p><p>Also, our experts are available for answering your queries on Practice Nurse Courses and help you along your learning journey. Advanced audio-visual learning modules of these Practice Nurse Courses are broken down into little chunks so that you can learn at your own pace without being overwhelmed by too much material at once.</p><p>Furthermore, to help you showcase your expertise in Practice Nurse Courses, we have prepared a special gift of 1 hardcopy certificate and 1 PDF certificate for the title course completely free of cost. These certificates will enhance your credibility and encourage possible employers to pick you over the rest.</p><p><strong>This Courses Bundle Consists of the following Premium courses: </strong></p><ul><li><strong>Course 01: </strong>Community Practice Nurse</li><li><strong>Course 02: </strong>Nurse Prescribing Diploma</li><li><strong>Course 03: </strong>Public Health</li><li><strong>Course 04: </strong>Phlebotomy</li><li><strong>Course 05: </strong>Clinical Training for Nurses and Carers - Catheterisation</li><li><strong>Course 06: </strong>Wound Care Level 2</li><li><strong>Course 07: </strong>Clinical Observations Skills</li><li><strong>Course 08: </strong>Verification of Death Training for Nurses</li><li><strong>Course 09: </strong>Consent in Healthcare</li><li><strong>Course 10: </strong>Medical Law</li><li><strong>Course 11: </strong>Medication Administration Level 4</li><li><strong>Course 12: </strong>Medical Transcription</li><li><strong>Course 13: </strong>Diabetes Care Diploma</li><li><strong>Course 14: </strong>Health and Social Care UK</li></ul><p>Enrol now in our Courses to advance your career, and use the premium study materials from Apex Learning.</p><p>The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Courses expertise and essential knowledge, which will assist you in reaching your goal.</p><p><strong>Curriculum:</strong></p><p><strong>Course 01: Community Practice Nurse</strong></p><ul><li>Role as A Caregiver and Healthcare Professional</li><li>Introduction to Nursing</li><li>Working in Different Healthcare Settings</li><li>Effective Communication in Nursing</li><li>Health and Safety in Nursing</li><li>Hygiene in Nursing</li><li>Infection Control</li><li>Understanding the Immune System in Nursing</li><li>Rest and Sleep Management in Nursing</li><li>Pain Management</li><li>Nutrition in Nursing</li><li>Fluid and Electrolyte Balance</li></ul><p>And many more...</p><p><strong>Course 02: Nurse Prescribing Diploma</strong></p><ul><li>Introduction</li><li>Legal and Ethical Aspects of Prescribing</li><li>Medicine Management</li><li>Anxiety Disorders in Adults</li><li>Liver Diseases: Diagnosis &amp; Prescribing</li><li>Common Problems: Pharmacological Management</li><li>Anti-Microbial Prescribing</li><li>Cardiac Problems and Prescribing</li><li>Neurological Problems and Prescribing</li></ul><p>And many more...</p><p><strong>Course 03: Public Health</strong></p><ul><li>Introduction to Public Health</li><li>Principles of Public Health</li><li>Understanding Epidemiology</li><li>Disease Control</li><li>Understanding Measures of Disease Frequency</li><li>Maternity and Childbirth</li><li>Environment and Public Health</li><li>Health System and Policy</li><li>Public Health and Ethics</li></ul><p><strong>Course 04: Phlebotomy</strong></p><ul><li>Introduction to Phlebotomy</li><li>Blood Circulation, Function, and Composition</li><li>Phlebotomy Equipment</li><li>Routine Venipuncture</li><li>Venipuncture Complications and Pre-Examination Variables</li><li>Dermal Puncture</li><li>Quality Assessment and Management in Phlebotomy</li><li>Special Blood Collection Procedure</li><li>Infection Control and Risk Management</li></ul><p><strong>Course 05: Clinical Training for Nurses and Carers - Catheterisation</strong></p><ul><li>Introduction to Urinary Catheterisation</li><li>The Urinary System</li><li>Patients' Guide for Catheterisation</li><li>Guidance for Nursing and Care Staff</li><li>Protocol for Female Catheterisation</li><li>Protocol for Male Catheterisation</li><li>Protocol for Handling Catheter &amp; Catheter Bags</li></ul><p><strong>Course 06: Wound Care Level 2</strong></p><ul><li>The Wound Healing Process &amp; Factors Delaying Wound Healing</li><li>Types of Wounds and Their Treatment</li><li>Dressing</li><li>Wound Assessment</li><li>Glossary</li></ul><p><strong>Course 07: Clinical Observations Skills</strong></p><ul><li>Introduction to Clinical Observation and Clinical Carer</li><li>Legal Standards and Professional Aspects of Ethical Practice</li><li>Patient's Condition Observation</li><li>Clinical Management Observation</li><li>Technical Clinical Method Observation</li><li>Medicine and Dispensaries Observation</li><li>Health Safety and Hygiene</li></ul><p><strong>Course 08: Verification of Death Training for Nurses</strong></p><ul><li>Introduction to Verification of Death</li><li>Legal Considerations</li><li>Expected Death</li><li>Natural Cause of Death</li><li>Verification of Unexpected Death</li><li>Process for Verifying a Death</li><li>Role of Forensic Nurse</li><li>Clinical &amp; Forensic Examination</li><li>Certification &amp; Documentation</li></ul><p><strong>Course 09: Consent in Healthcare</strong></p><p>Covid-19 Awareness for General People and Healthcare</p><ul><li>Introduction to Covid-19</li><li>Understanding of Covid-19 as a Pandemic and How It Is Related to Zoonotic Diseases Like SARS and MERS</li><li>The Strike of Pandemic Around the World and Great Britain</li><li>Effects of Covid-19 on Human Life</li><li>Diagnoses and Treatments</li><li>Preventions and Social Measures to Be Taken</li><li>Artificial Intelligence, Data Science and Technological Solutions against Covid-19</li></ul><p>Consent Training in Healthcare Course</p><ul><li>An Introduction to Consent</li><li>Information Regarding Consent</li><li>Consent Training in Healthcare Course</li><li>Best Interest Decision Making</li><li>Assessing Capacity</li><li>Providing Care or Treatment to People Who Lack Capacity</li><li>Public Bodies and Services Created by MCA Act 2005</li><li>UK Acts in Relation to Consent</li><li>Handling Complaints Regarding Consent</li></ul><p><strong>Course 10: Medical Law</strong></p><ul><li>An Introduction to Medical Law</li><li>Legislation on Access to Health, Medical Report, Treatment</li><li>Legislation on Adult Support</li><li>Legislation on Public Health and Health Service (Part 1)</li><li>Legislation on Public Health and Health Service (Part 2)</li><li>Legislation on Public Health and Health Service (Part 3)</li><li>Legislation on Public Health and Health Service (Part 4)</li><li>Legislation on Coronavirus</li><li>Legislation on Mental Health (Part 1)</li><li>Legislation on Mental Health (Part 2)</li><li>Legislation on Abortion</li><li>Other Legislation (Part 1)</li><li>Other Legislation (Part 2)</li></ul><p><strong>Course 11: Medication Administration Level 4</strong></p><ul><li>Introduction to Safe Handling of Medicines</li><li>Legislation and guidance of medication management</li><li>Principles of Safe and Appropriate Handling of Medicines</li><li>Medication Risk Assessment Guidance</li><li>Handling Medicines in Social Care Settings</li><li>Consent to Treatment</li><li>Requirements for Specific Services</li><li>Levels of Care and Support</li><li>Procedure for Handling Medication</li><li>The Six Rights of Medication Administration</li><li>Covert Administration of Medication</li><li>Recording Procedures</li><li>Storage of Medication</li><li>Transfer and Disposal of Medication</li><li>Drug Formulation and Ways of Taking It</li></ul><p><strong>Course 12: Medical Transcription</strong></p><ul><li>Introduction to Medical Transcription</li><li>The What, How, Who and Why of Medical Transcription</li><li>Understanding Medical Reports</li><li>Medical Language Boot Camp</li><li>Formatting: The Basics</li><li>Data Protection</li></ul><p><strong>Course 13: Diabetes Care Diploma</strong></p><ul><li>What is Diabetes</li><li>The Diabetes Challenge</li><li>The Cost of Diabetes in Social Care</li><li>Type 1 Diabetes</li><li>Type 2 Diabetes</li><li>Type 2 Diabetes Treatments</li><li>Prediabetes</li><li>Gestational Diabetes</li><li>Other Types of Diabetes</li><li>Hypoglycaemia</li><li>Hyperglycaemia and Hyperosmolar Hyperglycaemic State</li><li>Glossary of Diabetes Terms</li></ul><p><strong>Course 14: Health and Social Care UK </strong></p><ul><li>Introduction to Advanced Health and Social Care</li><li>Introduction to the UK Health System</li><li>Essential Principles, Policies and Legislations in Health and Social Care Work</li><li>Fundamental Aspects of Providing Quality Health</li></ul><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>Anyone from any background can enrol in this Courses bundle.</p><p><strong>Please note:</strong> This course doesn't entitle you to practice as a professional in this specific field. Rather, this course will assist you in understanding the fundamentals so that you can improve your knowledge in the relevant field.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

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

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

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

                        </div>

Apex Learning

Practice Nurse Courses

<p>The Learn MySQL from Scratch for Data Science and Analytics is all you need to advance your career in the relevant fields.</p><p>Enrol now to discover everything you need to know about The Learn MySQL from Scratch for Data Science and Analytics and the skills to improve your talents in this field and be confident in your knowledge bucket with One Education as your right hand!</p><p><strong>Expert Support</strong></p><p>Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course.</p><p><strong>Key Benefits</strong></p><ul><li>Learning materials of the Design course contain engaging voiceover and visual elements for your comfort.</li><li>Get 24/7 access to all content for a full year.</li><li>Each of our students gets full tutor support on weekdays (Monday to Friday)</li></ul><p><strong>Course Curriculum:</strong></p><p><strong>Section 01: Getting Started</strong></p><ul><li>Introduction</li><li>How to get course requirements</li><li>Getting started on Windows, Linux or Mac</li><li>How to ask great questions</li><li>FAQ's</li><li>What is Source Code?</li></ul><p><strong>Section 02: SQL Server setting up</strong></p><ul><li>Section Introduction</li><li>MySQL Server Installation</li><li>Connect MySQL Server Instance</li><li>MySQL Workbench overview</li><li>Download and Restore Sample Database</li></ul><p><strong>Section 03: SQL Database basics</strong></p><ul><li>Section Introduction</li><li>Overview of Databases</li><li>Creating Database</li><li>SQL Data Types</li><li>Column Data Types on Workbench</li><li>Creating Table</li><li>Overview of Primary and Foreign Key</li><li>Primary Key</li><li>Foreign Key</li><li>Creating Temporary tables</li><li>EER - Enhanced Entity Relationship Diagrams</li></ul><p><strong>Section 04: SQL DML (Data Manipulation Language)</strong></p><ul><li>Section Introduction</li><li>Insert statement</li><li>Update statement</li><li>Delete statement</li></ul><p><strong>Section 05: SQL DDL (Data Definition Language)</strong></p><ul><li>Section Introduction</li><li>CREATE table statement</li><li>DROP statement</li><li>ALTER statement</li><li>TRUNCATE statement</li><li>COMMENT in query</li><li>RENAME table</li></ul><p><strong>Section 06: SQL DCL (Data Control Language)</strong></p><ul><li>Create Database user</li><li>GRANT permissions</li><li>REVOKE permissions</li></ul><p><strong>Section 07: SQL Statement Basic</strong></p><ul><li>Section Introduction</li><li>SQL Statement basic</li><li>SELECT Statement</li><li>SELECT DISTINCT</li><li>SELECT with column headings</li><li>Column AS statement</li><li>DASHBOARD Analytics</li></ul><p><strong>Section 08: Filtering Data rows</strong></p><ul><li>SELECT WHERE Clause - theory</li><li>SELECT WHERE Clause - practical</li></ul><p><strong>Section 09: Aggregate functions for Data Analysis</strong></p><ul><li>Sum()</li><li>Min()-Max()</li></ul><p><strong>Section 10: SQL Data Analyticstatements</strong></p><ul><li>Order By statement</li><li>SELECT TOP 3 records</li><li>BETWEEN command</li><li>IN operator</li><li>Search Data usingLIKE cards</li></ul><p><strong>Section 11: SQL Group by statement</strong></p><ul><li>Section Introduction</li><li>Group by - theory</li><li>Data Analytics with Group By</li><li>HAVING statement</li></ul><p><strong>Section 12: JOINS</strong></p><ul><li>Overview of Joins</li><li>What are Joins</li><li>Inner join</li><li>Left outer join</li><li>Right outer join</li><li>Union</li><li>CERTESIAN Product or Cross Join</li><li>Query Exercise</li><li>Solution for Query Exercise</li></ul><p><strong>Section 13: SQL Constraints</strong></p><ul><li>Section introduction</li><li>Check constraint</li><li>NOT NULL constraint</li><li>UNIQUE constraint</li></ul><p><strong>Section 14: Views</strong></p><ul><li>Creating Views</li><li>Data Analytic Viewsfrom multiple tables</li></ul><p><strong>Section 15: Advanced SQL Functions</strong></p><ul><li>Section Introduction</li><li>Timestamp</li><li>Extract from timestamp</li><li>Mathematical scalar functions</li><li>String functions</li><li>Advanced functions</li><li>Sub Queries</li><li>SELECT with calculations</li></ul><p><strong>Section 16: SQL Stored procedures</strong></p><ul><li>Create stored procedure</li><li>Stored procedure with parameter</li><li>Drop Procedure</li></ul><p><strong>Section 17: Import &amp; Export data</strong></p><ul><li>Section Introduction</li><li>Import .csv file</li><li>Export Data to .csv file</li></ul><p><strong>Section 18: Backup and Restore Database</strong></p><ul><li>Section Introduction</li><li>Creating Database backup</li><li>Restoring Database backup</li></ul><p><strong>Exam &amp; Retakes:</strong><br />It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.</p><p><strong>Certification</strong><br />Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).</p><h2>
        
        <div>Who is this course for?</div>
    </h2>

                        <div id="who_is_this_course_for">
                            <p>This Learn MySQL from Scratch for Data Science and Analytics course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge.</p>
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>This Learn MySQL from Scratch for Data Science and Analytics course is open to all, with no formal entry requirements.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Upon successful completion of The Learn MySQL from Scratch for Data Science and Analytics Course, learners will be equipped with many indispensable skills and have the opportunity to grab.</p>
                        </div>

One Education

Learn MySQL from Scratch for Data Science and Analytics Course

<p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">The demand for health and care trainers is rising with an ageing population and an increasing need for healthcare professionals.</strong></p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">The&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Health &amp; Social Care : Health Care Assistant Training</strong>&nbsp;bundle equips learners with the skills and knowledge needed to work in different healthcare settings, understand legal and ethical aspects of healthcare, maintain medical records, and provide patient care.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">By completing this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Health &amp; Social Care : Health Care Assistant Training</strong>, you will gain an in-depth understanding of healthcare practices and procedures, including hygiene, infection control, and mobility issues. You will also learn about medical jargon and terminology, the effects of Covid-19 on human life, and how to prevent the spread of the virus.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Health &amp; Social Care : Health Care Assistant Training Bundle Consists of the Following Courses:</strong></p><ul style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 01:&nbsp;</strong><a href="https://www.skill-up.org/course/healthcare-assistant-training/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Healthcare Assistant Training</a><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 02:&nbsp;</strong>Health &amp; Social Care<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 03:&nbsp;</strong>Emergency Care Assistant - (First Aid)<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 04:&nbsp;</strong>Basic Life Support<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 05:&nbsp;</strong>Consent Training in Healthcare Course<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 06:&nbsp;</strong>Public Health and Safety<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 07:&nbsp;</strong>Mental Health Care &ndash; MCA &amp; DOLS<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 08:&nbsp;</strong>Workplace Health and Safety Diploma<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li></ul><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes of Health &amp; Social Care : Health Care Assistant Training:</strong></p><ul style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;">Understand the legal and ethical aspects of healthcare.</li><li fr-original-style="" style="box-sizing: border-box;">Maintain medical records and ensure confidentiality in a medical environment.</li><li fr-original-style="" style="box-sizing: border-box;">Comprehend health and safety responsibilities, hygiene, and infection control.</li><li fr-original-style="" style="box-sizing: border-box;">Identify the mobility and immobility issues of patients in nursing.</li><li fr-original-style="" style="box-sizing: border-box;">Recognize the rights and responsibilities of health and social care workers.</li><li fr-original-style="" style="box-sizing: border-box;">Provide care or treatment to people who lack capacity.</li></ul><h2 fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted">Certificates</h2><div fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;"><p style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: var(--text);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Digital Certificate</strong></p><p style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: var(--text);">This bundle comes with a free&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited PDF Copy certificate+ Transcript&nbsp;</strong>(according to the Learner&#39;s Choice). For additional courses, it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;14.99</strong>&nbsp;per copy.</p><p style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: var(--text);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Hard Copy Certificate</strong></p><p style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: var(--text);">Get&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited Hard Copy certificate</strong>&nbsp;for&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;19.99</strong>&nbsp;per copy. The delivery fee for the Hard Copy certificate, however, is free for UK residents, whereas it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;10</strong>&nbsp;for international students as delivery charge.</p></div><p id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This bundle course materials were developed with the assistance of Health &amp; Social Care : Health Care Assistant Training experts, and all related content is kept current on a regular basis to prevent learners from falling behind on recent developments in the related field.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our Health &amp; Social Care : Health Care Assistant Training bundle course is lively and well-paced to assist you in quick learning. To give students the skills and knowledge of the industry needed to advance their careers in related fields, we have divided the course into numerous user-friendly Lectures that cover all crucial aspects of Health &amp; Social Care : Health Care Assistant Training.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Here is the course curriculum for the primary Title Course in this bundle:</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><a href="https://www.skill-up.org/course/healthcare-assistant-training/" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">➽ Course 01: Healthcare Assistant Training</strong></a></p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Module 1: Working in Different Healthcare Settings</li><li fr-original-style="" style="box-sizing: border-box;">Module 2: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part &ndash; 1</li><li fr-original-style="" style="box-sizing: border-box;">Module 3: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part &ndash; 2</li><li fr-original-style="" style="box-sizing: border-box;">Module 4: Maintaining Medical Records</li><li fr-original-style="" style="box-sizing: border-box;">Module 5: Confidentiality in a Medical Environment</li><li fr-original-style="" style="box-sizing: border-box;">Module 6: Health and Safety Responsibilities</li><li fr-original-style="" style="box-sizing: border-box;">Module 7: Hygiene in Nursing</li><li fr-original-style="" style="box-sizing: border-box;">Module 8: Infection Control</li><li fr-original-style="" style="box-sizing: border-box;">Module 9: Mobility and Immobility Issues of Patients in Nursing</li><li fr-original-style="" style="box-sizing: border-box;">Module 10: Rights and Responsibilities as a Health and Social Care Worker</li><li fr-original-style="" style="box-sizing: border-box;">Module 11: Role as A Caregiver and Healthcare Professional</li><li fr-original-style="" style="box-sizing: border-box;">Module 12: Providing Care or Treatment to People Who Lack Capacity</li><li fr-original-style="" style="box-sizing: border-box;">Module 13: Managing Service Delivery in Health and Social Care</li><li fr-original-style="" style="box-sizing: border-box;">Module 14: Medical Jargon and Terminology</li><li fr-original-style="" style="box-sizing: border-box;">Module 15: Effects of Covid-19 on Human Life</li><li fr-original-style="" style="box-sizing: border-box;">Module 16: Preventions and Social Measures to Be Taken</li><li fr-original-style="" style="box-sizing: border-box;">Module 17: Information Technology in Health Care</li><li fr-original-style="" style="box-sizing: border-box;">Module 18: Artificial Intelligence, Data Science and Technological Solutions against Covid-19</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">----------and 7 more Courses----------</strong></p><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Who is this course for?</h2><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Aspiring Healthcare Assistants</li><li fr-original-style="" style="box-sizing: border-box;">Current Healthcare Professionals</li><li fr-original-style="" style="box-sizing: border-box;">Care Home Workers</li><li fr-original-style="" style="box-sizing: border-box;">Public Health Workers</li><li fr-original-style="" style="box-sizing: border-box;">Volunteers in Healthcare Settings</li></ul></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Requirements</h2><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;">Basic Literacy and Numeracy Skills</li><li fr-original-style="" style="box-sizing: border-box;">Access to a Computer and Internet Connection</li><li fr-original-style="" style="box-sizing: border-box;">Commitment to Completing All Course Modules</li><li fr-original-style="" style="box-sizing: border-box;">Interest in Health and Social Care</li><li fr-original-style="" style="box-sizing: border-box;">No Prior Experience Required</li></ul></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Career path</h2><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Healthcare Trainer (average salary: &pound;30,000)</li><li fr-original-style="" style="box-sizing: border-box;">Health and Safety Manager (average salary: &pound;45,000)</li><li fr-original-style="" style="box-sizing: border-box;">Healthcare Administrator (average salary: &pound;25,000)</li><li fr-original-style="" style="box-sizing: border-box;">Health Visitor (average salary: &pound;31,000)</li><li fr-original-style="" style="box-sizing: border-box;">Care Home Manager (average salary: &pound;30,000)</li><li fr-original-style="" style="box-sizing: border-box;">Hospital Ward Manager (average salary: &pound;40,000)</li></ul></section>

Skill Up

Healthcare Assistant

Health Skills

Emergency Care Assistant

Health & Social Care

Clinical Skills

Enhance your skills with our Health & Social Care: Health Care Assistant Training. Gain expertise in patient care, legal aspects, hygiene, and more for a rewarding healthcare career.

Health & Social Care : Health Care Assistant Training

Training Express

Adult Nurse

Career Development

Nursing Diploma

Adult Nursing and Healthcare Assistant With Complete Career Guide

<div><h2> About Course</h2><div><p><strong>Data Science and Data Analytics with Python: A Comprehensive Course for Beginners</strong></p><p><strong>Unlock the power of data and gain insights that drive informed decisions with this comprehensive course on data science and data analytics with Python.</strong></p><p><span>This course is designed for beginners of all skill levels,</span><span> with no prior programming experience required.</span><span> You will learn the essential skills to embark on your data-driven journey,</span><span> including:</span></p><ul><li><span>Data manipulation with NumPy and Pandas</span></li><li><span>Data visualization with Matplotlib and Seaborn</span></li><li><span>Statistical analysis with Python</span></li><li><span>Machine learning and artificial intelligence</span></li></ul><p><span>You will also gain hands-on experience with real-world data projects,</span><span> allowing you to apply your newfound knowledge to solve real-world problems.</span></p><p><strong>By the end of this course, you will be able to:</strong></p><ul><li><span>Understand the fundamentals of data science and data analytics</span></li><li><span>Apply Python to manipulate,</span><span> visualize,</span><span> and analyze data</span></li><li><span>Use Python to build machine learning and artificial intelligence models</span></li><li><span>Solve real-world data problems</span></li></ul><p><span>This course is the perfect launchpad for your data science journey.</span><span> Whether you are looking to pivot your career,</span><span> enhance your skill set,</span><span> or simply quench your curiosity,</span><span> this course will give you the foundation you need to succeed.</span></p>  <p><strong>Enroll today and start exploring the fascinating world of data science together!</strong></p></div></div> <div><h3> What Will You Learn?</h3><ul><li> <span></span> <span>Understand the fundamentals of data science and data analytics</span></li><li> <span></span> <span>Apply Python to manipulate, visualize, and analyze data</span></li><li> <span></span> <span>Use Python to build machine learning and artificial intelligence models</span></li><li> <span></span> <span>Solve real-world data problems</span></li></ul></div><div><h3> Course Content</h3><div><div><h4> Introduction to Python Data Science</h4><div><div><ul><li><div> <span></span><h5> Introduction to Python Data Science</h5></div><div> </div></li><li><div> <span></span><h5> Environment Setup</h5></div><div> </div></li></ul></div></div></div><div><h4> Data Cleaning Packages</h4><div><div><ul><li><div> <span></span><h5> Working with the Numpy package</h5></div><div> </div></li><li><div> <span></span><h5> Working with Pandas Data science package</h5></div><div> </div></li></ul></div></div></div><div><h4> Data Visualization Packages</h4><div><div><ul><li><div> <span></span><h5> Working with Matplotlib Data Science package (Part - 1)</h5></div><div> </div></li><li><div> <span></span><h5> Working with Matplotlib Data Science (Part - 2)</h5></div><div> </div></li></ul></div></div></div></div></div>A course by  Uditha Bandara  Microsoft Most Valuable Professional (MVP) RequirementsBeginners level knowledge for working with Data .Programming knowledge not required. Audience  Beginners with no prior programming experience  Anyone interested in learning data science and data analytics<h3> Audience</h3><ul><li> <span></span> <span>Beginners with no prior programming experience</span></li><li> <span></span> <span>Anyone interested in learning data science and data analytics</span></li></ul>

Xpert Learning

Business Analytics & Intelligence

Data Engineering

Big Data Analytics

Data Science

Data Skills

Data Analyst

Data Science and Data Analytics with Python

<p>Death itself may be certain, but how we die involves many challenges. The Palliative and End of Life Care look at the knowledge and understanding of the key principles of caring for patients approaching the end of their lives in a wide range of care settings, including hospices, care homes, care in the community and primary care.</p><p>Palliative and End of Life Care will enable you to start and develop your career in the social care or health care industry by allowing you to learn more about the delivery of optimum patient care and developing your transferrable skills within the health sector.</p><p>Along with this comprehensive <strong>Palliative and End of Life Care Training Level 5,</strong> you will get<strong> 10</strong> additional Career development courses, an <strong>original hardcopy certificate, transcript</strong> and a <strong>student ID card</strong>.</p><p><strong>This Palliative and End of Life Care Bundle Consists of the following Premium courses: </strong></p><ul><li><strong>Course 01: </strong>Palliative and End of Life Care Training- Level 5</li><li><strong>Course 02: </strong>Healthcare Assistant Training</li><li><strong>Course 03: </strong>Adult Safeguarding and First Aid Training</li><li><strong>Course 04: </strong>Adult Nursing Diploma</li><li><strong>Course 05: </strong>Mental Health Nursing and Support Worker</li><li><strong>Course 06: </strong>Nurse Prescribing &amp; Medicine Management</li><li><strong>Course 07: </strong>Treating Post Traumatic Stress Disorder</li><li><strong>Course 08: </strong>Level 3 - Coronavirus (COVID -19) Awareness Course</li><li><strong>Course 09: </strong>Verification of Death Training for Nurses</li><li><strong>Course 10: </strong>Diabetes Care Diploma</li><li><strong>Course 11: </strong>Nutrition and Hydration</li></ul><p><strong>Benefits you'll get choosing Apex Learning for this Palliative and End of Life Care:</strong></p><ul><li>One payment, but lifetime access to 11 CPD courses</li><li>Certificates, student ID for the title course included in a one-time fee</li><li>Full tutor support available from Monday to Friday</li><li>Free up your time - don't waste time and money travelling for classes</li><li>Accessible, informative modules taught by expert instructors</li><li>Learn at your ease - anytime, from anywhere</li><li>Study the course from your computer, tablet or mobile device</li><li>CPD accredited course - improve the chance of gaining professional skills</li><li>Gain valuable knowledge without leaving your home</li></ul><p><strong>Course Curriculum of Palliative and End of Life Care Training</strong></p><p><strong>Course 01: Palliative and End of Life Care Training- Level 5</strong></p><ul><li>Module 01: Introduction to End of Life Care</li><li>Module 02: Availability of Services</li><li>Module 03: Advance Care Planning</li><li>Module 04: Goals of Care</li><li>Module 05: Physical Illness</li><li>Module 06: Neurological Illness</li><li>Module 07: Quality Care at the End of Life</li><li>Module 08: Communication During the End of Life</li><li>Module 09: Palliative Care Holistic Assessment</li><li>Module 10: Spiritual and Psychosocial Care</li><li>Module 11: Care after Death</li><li>Module 12: Further Support, Training and Development</li><li>Module 13: Legal Aspects<strong><br /></strong></li></ul><p><strong>Course 02: Healthcare Assistant Training</strong></p><ul><li>Module 1: Working in Different Healthcare Settings</li><li>Module 2: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 1</li><li>Module 3: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 2</li><li>Module 4: Maintaining Medical Records</li><li>Module 5: Confidentiality in a Medical Environment</li><li>Module 6: Health and Safety Responsibilities</li><li>Module 7: Hygiene in Nursing</li><li>Module 8: Infection Control</li><li>Module 9: Mobility and Immobility Issues of Patients in Nursing</li><li>Module 10: Rights and Responsibilities as a Health and Social Care Worker</li><li>Module 11: Role as A Caregiver and Healthcare Professional</li><li>Module 12: Providing Care or Treatment to People Who Lack Capacity</li><li>Module 13: Managing Service Delivery in Health and Social Care</li><li>Module 14: Medical Jargon and Terminology</li><li>Module 15: Effects of Covid-19 on Human Life</li><li>Module 16: Preventions and Social Measures to Be Taken</li><li>Module 17: Information Technology in Health Care</li><li>Module 18: Artificial Intelligence, Data Science and Technological Solutions against Covid-19<strong><br /></strong></li></ul><p><strong>Course 03: Adult Safeguarding and First Aid Training</strong></p><p>Safeguarding Vulnerable Adults</p><ul><li>An Introduction to Safeguarding of Vulnerable Adults</li><li>Safeguarding Legislations</li><li>Understanding Abuse and Neglect</li><li>Understanding the Importance of Communication in Care</li><li>Sharing Information and Responding To a Disclosure</li><li>Reporting Your Concern</li></ul><p>First Aid at Work</p><ul><li>Introduction to Workplace First Aid</li><li>Legal Framework for Workplace First Aid</li><li>Incident Management at Work</li><li>Primary Survey</li><li>Secondary Survey</li><li>Basic First-Aid Techniques</li><li>Dealing with Minor Injuries at the Workplace</li><li>Secondary Illness Loss of Responsiveness and CPR</li><li>Secondary Illness Breathing Problems</li><li>Secondary Illnesses and Injuries</li><li>Dealing With Fractures and Dislocations</li><li>Call for an Emergency<strong><br /></strong></li></ul><p><strong>Course 04: Adult Nursing Diploma</strong></p><ul><li>Module1: Introduction to Nursing</li><li>Module 2: Working in Different Healthcare Settings</li><li>Module 3: Understanding legal, professional standards of practice and ethical aspects of health care- Part 1</li><li>Module 4: Understanding legal, professional standards of practice and ethical aspects of health care- Part 2</li><li>Module 5: Effective Communication in Nursing</li><li>Module 6: Health and Safety in Nursing</li><li>Module 7: Hygiene in Nursing</li><li>Module 8: Infection Control</li><li>Module 9: Asepsis in Nursing</li><li>Module 10: Medication Administration in Nursing</li><li>Module 11: Adult Care in Different Life Stages</li><li>Module 12: Understanding Immune System in Nursing</li></ul><p>And many more...</p><p><strong>Course 05: Mental Health Nursing and Support Worker</strong></p><ul><li>Module 01: Introduction to Mental Health Nursing</li><li>Module 02: Mental Health over Life Span and Society</li><li>Module 03: Child Mental Health</li><li>Module 04: Adolescent Mental Health</li><li>Module 05: Adult Mental Health</li><li>Module 06: Planning and Implementation</li><li>Module 07: Mental Health Nursing Models</li><li>Module 08: Mental Health in the Digital Age-Part 1</li><li>Module 09: Mental Health in the Digital Age-Part 2</li><li>Module 10: Common Mental Disorders-Part 1</li><li>Module 11: Common Mental Disorders-Part 2</li><li>Module 12: Legislations Related to Mental Health in the UK</li></ul><p><strong>Course 06: Nurse Prescribing &amp; Medicine Management </strong></p><ul><li>Module 1: Introduction to Nurse Prescribing</li><li>Module 2: Legal and Ethical Aspects of Prescribing</li><li>Module 3: Medicine Management</li><li>Module 4: Anxiety Disorders in Adults</li><li>Module 5: Liver Diseases: Diagnosis &amp; Prescribing</li><li>Module 6: Common Problems: Pharmacological Management</li><li>Module 7: Anti-Microbial Prescribing</li><li>Module 8: Cardiac Problems and Prescribing</li><li>Module 9: Neurological Problems and Prescribing</li><li>Module 10: Palliative Cares</li></ul><p>And many more...</p><p><strong>Course 07: Treating Post Traumatic Stress Disorder</strong></p><ul><li>Introduction</li><li>Understanding Trauma &amp; PTSD</li><li>Integrating CBT, DBT, ACT Techniques into Your Life</li><li>Managing Your Anxiety &amp; PTSD</li><li>Stop Avoiding and Start Living Again</li><li>Handling Difficult Thoughts of Trauma</li><li>Coping with Memories, Flashbacks, Nightmares, and Intrusions</li><li>Surviving and Thriving as You Look Ahead</li></ul><p><strong>Course 08: Level 3 - Coronavirus (COVID -19) Awareness Course</strong></p><ul><li>Introduction to COVID-19</li><li>The Strike of Pandemic Around the World and Great Britain</li><li>Effects of Covid-19 on Human Life</li><li>Diagnosis and Treatment</li><li>Preventions and Social Measures to Be Taken</li><li>Artificial Intelligence, Data Science and Technological Solutions against Covid-19<strong><br /></strong></li></ul><p><strong>Course 09: Verification of Death Training for Nurses</strong></p><ul><li>Module 01: Introduction to Verification of Death</li><li>Module 02: Legal Considerations</li><li>Module 03: Expected Death</li><li>Module 04: Natural Cause of Death</li><li>Module 05: Verification of Unexpected Death</li><li>Module 06: Process for Verifying a Death</li><li>Module 07: Role of Forensic Nurse</li><li>Module 08: Clinical &amp; Forensic Examination</li><li>Module 09: Certification &amp; Documentation</li></ul><p><strong>Course 10: Diabetes Care Diploma<br /></strong></p><ul><li>Module 01: What is Diabetes</li><li>Module 02: The Diabetes Challenge</li><li>Module 03: The Cost of Diabetes in Social Care</li><li>Module 04: Type 1 Diabetes</li><li>Module 05: Type 2 Diabetes</li><li>Module 06: Type 2 Diabetes Treatments</li><li>Module 07: Prediabetes</li><li>Module 08: Gestational Diabetes</li><li>Module 09: Other Types of Diabetes</li><li>Module 10: Hypoglycaemia</li><li>Module 11: Hyperglycaemia and Hyperosmolar Hyperglycaemic State</li><li>Module 12: Glossary of Diabetes Terms</li></ul><p><strong>Course 11: Nutrition and Hydration</strong></p><ul><li>Module 01: Introduction to Nutrition</li><li>Module 02: Nutrients</li><li>Module 03: Malnutrition</li><li>Module 04: Nutritional Support</li><li>Module 05: Hydration</li><li>Module 06: Dehydration</li><li>Module 07: Need of Water</li></ul><p>and many more...</p><p><strong>How will I get my Certificate?</strong></p><p>After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement.</p><ul><li><strong>PDF Certificate: Free (Previously it was £6*11 = £66)</strong></li><li><strong>Hard Copy Certificate: Free (For The Title Course: Previously it was £10)</strong></li></ul><p>If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a<strong> Flat 50% discount </strong>on hard copy certificates, and you can get each for just <strong>£10</strong>!</p><p><strong>P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99.</strong></p><h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        110 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>There is no experience or previous qualifications required for enrolment on this bundle. It is available to all students, of all academic backgrounds.</p>
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>Palliative and End of Life Care Training- Level 5</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p><p>Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.</p> </div>

                        </div>

Palliative and End of Life Care

<p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">The demand for health and care trainers is rising with an ageing population and an increasing need for healthcare professionals.</strong></p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">The&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Health &amp; Social Care : Health Care Assistant Training</strong>&nbsp;bundle equips learners with the skills and knowledge needed to work in different healthcare settings, understand legal and ethical aspects of healthcare, maintain medical records, and provide patient care.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">By completing this&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Health &amp; Social Care : Health Care Assistant Training</strong>, you will gain an in-depth understanding of healthcare practices and procedures, including hygiene, infection control, and mobility issues. You will also learn about medical jargon and terminology, the effects of Covid-19 on human life, and how to prevent the spread of the virus.</p><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">This Health &amp; Social Care : Health Care Assistant Training Bundle Consists of the Following Courses:</strong></p><ul style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 01:&nbsp;</strong><a href="https://www.skill-up.org/course/healthcare-assistant/" target="_blank" rel="noopener noreferrer" fr-original-style="" style="user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;">Healthcare Assistant Training</a><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 02:&nbsp;</strong>Health &amp; Social Care<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 03:&nbsp;</strong>Emergency Care Assistant - (First Aid)<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 04:&nbsp;</strong>Basic Life Support<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 05:&nbsp;</strong>Consent Training in Healthcare Course<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 06:&nbsp;</strong>Public Health and Safety<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 07:&nbsp;</strong>Mental Health Care &ndash; MCA &amp; DOLS<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&raquo;&nbsp;</strong><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Course 08:&nbsp;</strong>Workplace Health and Safety Diploma<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><br fr-original-style="" style="box-sizing: border-box;"></strong></li></ul><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Learning Outcomes of Health &amp; Social Care : Health Care Assistant Training:</strong></p><ul style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><li fr-original-style="" style="box-sizing: border-box;">Understand the legal and ethical aspects of healthcare.</li><li fr-original-style="" style="box-sizing: border-box;">Maintain medical records and ensure confidentiality in a medical environment.</li><li fr-original-style="" style="box-sizing: border-box;">Comprehend health and safety responsibilities, hygiene, and infection control.</li><li fr-original-style="" style="box-sizing: border-box;">Identify the mobility and immobility issues of patients in nursing.</li><li fr-original-style="" style="box-sizing: border-box;">Recognize the rights and responsibilities of health and social care workers.</li><li fr-original-style="" style="box-sizing: border-box;">Provide care or treatment to people who lack capacity.</li></ul><h2 style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);">Course Description</h2><div style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This bundle course materials were developed with the assistance of&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Health &amp; Social Care : Health Care Assistant Training</strong>&nbsp;experts, and all related content is kept current on a regular basis to prevent learners from falling behind on recent developments in the related field.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Our&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Health &amp; Social Care : Health Care Assistant Training&nbsp;</strong>bundle course is lively and well-paced to assist you in quick learning. To give students the skills and knowledge of the industry needed to advance their careers in related fields, we have divided the course into numerous user-friendly Lectures that cover all crucial aspects of Health &amp; Social Care : Health Care Assistant Training.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Here is the course curriculum for the primary Title Course in this bundle:</strong></p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">➽ Course 01:&nbsp;</strong>Healthcare Assistant Training</p><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Module 1: Working in Different Healthcare Settings</li><li fr-original-style="" style="box-sizing: border-box;">Module 2: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part &ndash; 1</li><li fr-original-style="" style="box-sizing: border-box;">Module 3: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part &ndash; 2</li><li fr-original-style="" style="box-sizing: border-box;">Module 4: Maintaining Medical Records</li><li fr-original-style="" style="box-sizing: border-box;">Module 5: Confidentiality in a Medical Environment</li><li fr-original-style="" style="box-sizing: border-box;">Module 6: Health and Safety Responsibilities</li><li fr-original-style="" style="box-sizing: border-box;">Module 7: Hygiene in Nursing</li><li fr-original-style="" style="box-sizing: border-box;">Module 8: Infection Control</li><li fr-original-style="" style="box-sizing: border-box;">Module 9: Mobility and Immobility Issues of Patients in Nursing</li><li fr-original-style="" style="box-sizing: border-box;">Module 10: Rights and Responsibilities as a Health and Social Care Worker</li><li fr-original-style="" style="box-sizing: border-box;">Module 11: Role as A Caregiver and Healthcare Professional</li><li fr-original-style="" style="box-sizing: border-box;">Module 12: Providing Care or Treatment to People Who Lack Capacity</li><li fr-original-style="" style="box-sizing: border-box;">Module 13: Managing Service Delivery in Health and Social Care</li><li fr-original-style="" style="box-sizing: border-box;">Module 14: Medical Jargon and Terminology</li><li fr-original-style="" style="box-sizing: border-box;">Module 15: Effects of Covid-19 on Human Life</li><li fr-original-style="" style="box-sizing: border-box;">Module 16: Preventions and Social Measures to Be Taken</li><li fr-original-style="" style="box-sizing: border-box;">Module 17: Information Technology in Health Care</li><li fr-original-style="" style="box-sizing: border-box;">Module 18: Artificial Intelligence, Data Science and Technological Solutions against Covid-19</li></ul><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">----------and 7 more Courses----------</strong></p><h2 fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted">Certificates</h2><div fr-original-style=" color: rgb(15, 21, 26);" style="color: rgb(15, 21, 26); box-sizing: border-box;"><p style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: var(--text);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Digital Certificate</strong></p><p style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: var(--text);">This bundle comes with a free&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited PDF Copy certificate+ Transcript&nbsp;</strong>(according to the Learner&#39;s Choice). For additional courses, it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;14.99</strong>&nbsp;per copy.</p><p style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: var(--text);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Hard Copy Certificate</strong></p><p style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: var(--text);">Get&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPD Accredited Hard Copy certificate</strong>&nbsp;for&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;19.99</strong>&nbsp;per copy. The delivery fee for the Hard Copy certificate, however, is free for UK residents, whereas it costs&nbsp;<strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">&pound;10</strong>&nbsp;for international students as delivery charge.</p><section style="color: rgb(15, 21, 26); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Who is this course for?</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">This course is open to anyone with an interest in Health &amp; Social Care : Health Care Assistant Training.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">If you want to excel in this field and stand out in your future job, grab this bundle NOW!</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Requirements</h2><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Since no prior knowledge or experience is required.</p><p fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;">Take your time to finish this Health &amp; Social Care : Health Care Assistant Training, and there is no deadline for the Bundle.</p></section><section style="color: rgb(15, 21, 26); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);"><h2 fr-original-style="" style="box-sizing: border-box;">Career path</h2><ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">Healthcare Trainer (average salary: &pound;30,000)</li><li fr-original-style="" style="box-sizing: border-box;">Health and Safety Manager (average salary: &pound;45,000)</li><li fr-original-style="" style="box-sizing: border-box;">Healthcare Administrator (average salary: &pound;25,000)</li><li fr-original-style="" style="box-sizing: border-box;">Health Visitor (average salary: &pound;31,000)</li><li fr-original-style="" style="box-sizing: border-box;">Care Home Manager (average salary: &pound;30,000)</li><li fr-original-style="" style="box-sizing: border-box;">Hospital Ward Manager (average salary: &pound;40,000)</li></ul></section></div></div>

Health Sciences Courses (HSC)

8-in-1 Premium Bundle | 1 CPD Accredited Free + Transcript | Updated Lesson Plan | Free PDF Certificate | 24/7 Tutor Support


Health & Social Care : Health Care Assistant Training - CPD Accredited



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Medical Terminology

Healthcare Workers

Medical Secretary

Discover our Healthcare & Medical Workers Bundle, featuring 5 unique courses tailored to equip you with essential skills for various roles in the healthcare sector. Enjoy the convenience of free digital certificates upon completion. Dive into medical terminology, healthcare management, lab technology, and more!

Healthcare & Medical Workers Bundle (5-in-1 Unique Courses)

A course by  Sekhar Metla  IT Industry Expert RequirementsNo prior technical experience is required! All you need a computer!No SQL experience needed. You will learn everything you need to knowNo software is required in advance of the course (all software used in the course is free) Audience  Beginner SQL, Data Science and Analytics - developers curious about SQL Career  Anyone who wants to generate new income streams  Anyone who works with data analytics, or databases!  Anyone who wants to become Business intelligence developer  Anyone who wants to start their own business or become freelance  Anyone who wants to become a Data Science developer  If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information  Someone who wants to learn skills that give them the potential to earn near SIX figures!<h3> Audience</h3><ul><li> <span></span> <span>Beginner SQL, Data Science and Analytics - developers curious about SQL Career</span></li><li> <span></span> <span>Anyone who wants to generate new income streams</span></li><li> <span></span> <span>Anyone who works with data analytics, or databases!</span></li><li> <span></span> <span>Anyone who wants to become Business intelligence developer</span></li><li> <span></span> <span>Anyone who wants to start their own business or become freelance</span></li><li> <span></span> <span>Anyone who wants to become a Data Science developer</span></li><li> <span></span> <span>If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information</span></li><li> <span></span> <span>Someone who wants to learn skills that give them the potential to earn near SIX figures!</span></li></ul>

Learn MySQL from scratch for Data Science and Analytics

<p dir="ltr" id="isPasted" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Python for Data Science and Machine Learning Bootcamp course is a comprehensive and practical online course designed to teach you how to use Python for data science and machine learning.&nbsp;</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">The course comprises several sections, each covering different topics in data science and machine learning. It includes all the essential concepts and tools required to analyse and manipulate data, build machine learning models, and make predictions or decisions.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">It also covers dataset summary statistics and visualisation techniques using libraries like matplotlib and seaborn. You&#39;ll learn about model selection, ensemble approaches, and parameter adjustment. Additionally, you will discover how to export and load machine learning models using libraries such as pickle and joblib.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">This course is suitable for anyone interested in learning Python for data science and machine learning. Whether you are an aspiring data scientist or a professional looking to enhance your data analysis skills, this course will help you achieve your goals.</span></p><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Enrol now to gain instant access to the course materials and start your learning journey. Don&#39;t miss out on the opportunity to acquire one of the most in-demand skills in the market today and become a proficient data scientist and machine learning expert.</span></p><h2 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Learning Outcome of Python for Data Science and Machine Learning Bootcamp &nbsp; &nbsp;</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Master fundamental concepts of machine learning and its applications.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Gain proficiency in Python programming for data analysis and manipulation.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Learn to load, read, and manipulate CSV data files using Python libraries.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Understand dataset summary statistics and visualization techniques.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Acquire skills in data preparation and preprocessing.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Explore feature selection techniques and their importance.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Evaluate machine learning algorithms using various techniques and metrics.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Spot check classification and regression algorithms for model selection.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Improve model performance using ensemble methods and parameter tuning.</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Learn to export, save, load, and finalize machine learning models for real-time predictions.</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Key Features of the Course</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">A CPD certificate that is recognised worldwide.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">A great online learning experience.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Interesting and unique online materials and activities.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Expert guidance and support from the field leaders.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Access to the study resources anytime you want.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Friendly and helpful customer service and admin support by email, phone, and chat from Monday through Friday.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Get a year-long access to the course.</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Who is this course for</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); font-size: 16px; box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0); font-size: 16px;">This Python for Data Science and Machine Learning Bootcamp Course is suitable for -</span></p><ul fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Aspiring data scientists and machine learning enthusiasts</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Professionals seeking to enhance their data analysis skills</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Individuals interested in Python programming for data science</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Anyone looking to break into the field of data science and machine learning</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Students pursuing studies in computer science or related fields</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Requirements</span></h2><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Basic understanding of programming concepts</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Familiarity with Python programming language is beneficial but not mandatory</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">No prerequisites; suitable for individuals from any academic background.</li><li dir="ltr" style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Accessible course materials from any internet-enabled device.</li></ul><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">CPD Certificate from Course Gate</span></h2><p dir="ltr" fr-original-style="" style="color: var(--text); font-size: var(--font-size); box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for &pound;9 and the hard copy for &pound;15. Also, you can order both PDF and hardcopy certificates for &pound;22.</span></p><h2 dir="ltr" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Career path</span><span style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><br fr-original-style="" style="box-sizing: border-box;"></span></h2><div style="color: rgb(68, 68, 68); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(68, 68, 68);"><div style="color: rgb(68, 68, 68); box-sizing: border-box;" fr-original-style=" color: rgb(68, 68, 68);"><div data-elementor-type="wp-post" data-elementor-id="357815" data-elementor-post-type="course" fr-original-style="" style="box-sizing: border-box;"><section data-id="5767f71a" data-element_type="section" fr-original-style="" style="box-sizing: border-box;"><div data-id="58784751" data-element_type="column" fr-original-style="" style="box-sizing: border-box;"><div data-id="ce105db" data-element_type="widget" data-widget_type="text-editor.default" style="color: var( --e-global-color-text ); box-sizing: border-box;" fr-original-style=" color: var( --e-global-color-text );"><ul fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Data Scientist</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Data Analyst</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Machine Learning Engineer</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Business Intelligence Analyst</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Data Engineer</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Research Scientist</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Quantitative Analyst</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Artificial Intelligence Specialist</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Data Consultant</li><li style="font-size: 16px; color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="font-size: 16px; color: rgb(0, 0, 0);">Statistician</li></ul></div></div></section></div></div></div>

Machine Learning (ML)

Python

Python for Data Science and Machine Learning Bootcamp online course is suitable for anyone interested in learning Python for data science and machine learning. It is especially ideal for aspiring data scientists and professionals seeking to enhance their data analysis skills. 

Python for Data Science and Machine Learning Bootcamp

<h2 style="color: var(--text-heading); box-sizing: border-box;" id="isPasted" fr-original-style="color: var(--text-heading);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">This course at a glance</span></strong></h2><ul style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Accredited by CPDQE</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Learn how to become a data scientist, data engineer, data analyst or consultant</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Know the different processes of Data Science, such as data cleaning, processing, wrangling, manipulation</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Discover the usage of R to clean, analyse, and visualise data</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">How to write complex R programs for real-life industry situations</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Get data scientist resume tips and land your first job</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Explore the various applications of Machine Learning</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Understand Tidyverse, Operators, Vectors, Lists and their applications</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Uncover data extraction and scraping</span></li></ul><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(38, 99, 82) !important;">Data science and Machine Learning are one of the most popular fields in the world today. Data science is crucial to analysing and developing data-based machine learning models. We will cover programming in R in this course for data science and machine learning.</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">R programming is a specialised skill that is in high demand today. We&rsquo;ve designed our&nbsp;<b fr-original-style="" style="box-sizing: border-box;">Data Science and Machine Learning with R</b>&nbsp;course to help you learn fundamentals through advanced R programming. This course teaches you how to effectively use R programming for machine learning or data science. You&rsquo;ll learn how to visualise data by plotting in R, as well as how to clean data.&nbsp;</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">You will receive training in machine learning and its many real-world applications while working with R Shiny to create web applications and online interactive dashboards. In other words, you will gain practical, step-by-step knowledge of the R programming language that you may use for business or professional purposes.</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">An expert instructor designed this&nbsp;<b fr-original-style="" style="box-sizing: border-box;">&ldquo;Data Science and Machine Learning with R&rdquo;</b>&nbsp;course to provide you with the best learning experience possible. Our goal is for you to learn and apply the lessons from this course to improve your skills.&nbsp;</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">To explore the world of R Programming Language, Enrol Now!</p><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Accredited by</span></h3><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">This course is <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPDQE&nbsp;</strong>accredited, which serves as an impactful mechanism for skill enhancement.&nbsp;</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Continuing Professional Development (CPD) stands as a crucial, widely acknowledged method that aids individuals, organisations, and entire industries in staying current with their skills and knowledge.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">CPD not only facilitates the elevation of global standards and benchmarks, aligning with the growing forces of globalisation and consumer expectations but also transforms learning into a deliberate and proactive process. It motivates professionals to uphold a consistently high level of performance and demonstrates their unwavering commitment to a specific job role or profession.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Course Curriculum</span></strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Introduction to Data Science +ML with R from A-Z</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Getting Started with R</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Types and Structures in R</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Intermediate R</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Manipulation in R</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Visualization in R</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Creating Reports with R Markdown</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Building Webapps with R Shiny</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Introduction to Machine Learning</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Preprocessing</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Linear Regression: A Simple Model</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Exploratory Data Analysis</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Linear Regression: A Real Model</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Logistic Regression</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Starting a Career in Data Science</strong></li></ul>

LearnDrive UK

The course covers data science and machine learning with R.



Data Science and Machine Learning with R

<strong>This course starts with the basics of data science and gradually moves towards explaining the concepts of machine learning and various data science algorithms.</strong>
        <p>Machine learning is the key to development in many areas, such as IT, security, marketing, automation, and even medicine. Without machine learning, it is impossible to build intelligent applications and devices, such as Alexa, Siri, and Google Assistant. This course will help to get familiar with data science and machine learning.

The course starts with an introduction to data science, explaining different terms associated with it. You will also become familiar with machine learning and data science modeling and explore the key differences between model parameters and hyperparameters. Next, you will become familiar with the concepts of machine learning models, such as linear regression, decision trees, random forests, neural networks, and clustering techniques. Towards the end, you will learn how to evaluate machine learning models and learn the best practices to succeed in your data scientist role.

By the end of this course, you will have a solid understanding of data science and machine learning fundamentals.</p>
        <h2>What You Will Learn</h2><p>Become familiar with data science and machine learning terms<br>Distinguish between model parameters and hyperparameters<br>Distinguish between supervised and unsupervised learning<br>Discover how decision trees, bagging, and random forest works<br>Understand the importance of the k-nearest neighbors (KNN) algorithm in machine learning<br>Learn about neural networks and clustering techniques<br>Evaluate the performance of machine learning models</p>
        <h2>Audience</h2><p>This course is designed for students and beginners who want to understand the concepts, statistics, and math behind machine learning algorithms and for those who are curious to solve real-world problems using machine learning and data science. Everything is taught from scratch; hence, there are no prerequisites to get started with this course.</p>
        <h2>Approach</h2><p>With the help of simple explanation, avoiding confusing mathematical notation and jargon, this course covers the fundamentals of data science, machine learning, and data mining from scratch.</p>
        <h2>Key Features</h2><p>Learn the fundamentals of data science, machine learning, and data mining * Learn interesting techniques to evaluate a machine learning model * Discover the best practices to solve real-world problems using machine learning</p>
        
        <h2>About the Author</h2><h3>AI Sciences</h3><p>AI Sciences are 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. Welcome and Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Welcome</p><p style='margin: 0'>This video welcomes you to the course.</p></td></tr><tr><td style='padding: 15px;'><p>2. Introduction to Data Science</p><p style='margin: 0'>This video provides an introduction to data science.</p></td></tr></tbody></table><br><h4>2. Preliminary Requirements to Understand Data Science and Machine Learning</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Understanding Data Science Terms</p><p style='margin: 0'>This video provides an overview of the terms used in data science.</p></td></tr><tr><td style='padding: 15px;'><p>2. Understanding Machine Learning</p><p style='margin: 0'>This video presents an overview of machine learning.</p></td></tr><tr><td style='padding: 15px;'><p>3. Types of Learning</p><p style='margin: 0'>This video explains the different types of learning.</p></td></tr><tr><td style='padding: 15px;'><p>4. Understanding Data Science Modeling</p><p style='margin: 0'>This video focuses on data science modeling.</p></td></tr><tr><td style='padding: 15px;'><p>5. Model parameters versus Hyperparameters</p><p style='margin: 0'>This video explains the difference between model parameters and hyperparameters.</p></td></tr></tbody></table><br><h4>3. Machine Learning Models</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. How Linear Regression Works</p><p style='margin: 0'>This video demonstrates how linear regression works.</p></td></tr><tr><td style='padding: 15px;'><p>2. How Decision Trees Work</p><p style='margin: 0'>This video demonstrates how decision trees work.</p></td></tr><tr><td style='padding: 15px;'><p>3. How Bagging and Random Forest Work</p><p style='margin: 0'>This video demonstrates the working of bagging and random forest.</p></td></tr><tr><td style='padding: 15px;'><p>4. How Support Vector Machine Works</p><p style='margin: 0'>This video demonstrates the working of support vector machines.</p></td></tr><tr><td style='padding: 15px;'><p>5. Neural Networks- Part 1</p><p style='margin: 0'>This video is the first part of a two-part video that explains neural networks.</p></td></tr><tr><td style='padding: 15px;'><p>6. Neural Networks- Part 2</p><p style='margin: 0'>This is the second part of the two-part video that explains neural networks.</p></td></tr><tr><td style='padding: 15px;'><p>7. How Logistic Regression Works</p><p style='margin: 0'>This video demonstrates the working of logistic regression.</p></td></tr><tr><td style='padding: 15px;'><p>8. How k-nearest neighbour (KNN) Works</p><p style='margin: 0'>This video focuses on KNN and explains how it works.</p></td></tr><tr><td style='padding: 15px;'><p>9. Clustering Techniques</p><p style='margin: 0'>This video explains the different clustering techniques.</p></td></tr></tbody></table><br><h4>4. Model Performance</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Evaluating Models Performance</p><p style='margin: 0'>This video demonstrates how to evaluate the performance of the models.</p></td></tr></tbody></table><br><h4>5. Best Practices for a Data Scientist</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Best Practices for a Data Scientist</p><p style='margin: 0'>This video explains the best practices used by data scientists.</p></td></tr></tbody></table>

Packt

Algorithms

This course starts with the basics of data science and gradually moves towards explaining the concepts of machine learning and various data science algorithms.

Mastering Data Science and Machine Learning Fundamentals

<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!

<h2 style="color: var(--text-heading); box-sizing: border-box;" id="isPasted" fr-original-style="color: var(--text-heading);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">This course at a glance</span></strong></h2><ul style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);"><li style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color: rgb(0, 0, 0);">Accredited by CPDQE</li><li id="isPasted" fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Learn how to clean, process, wrangle, and manipulate data</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Know how to create a resume for a data science job</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Get a grasp of NumPy by learning how to use it for numerical data</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Uncover the secret of different Python libraries, such as Pandas, Matplotlib, SciPy and many more</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Explore machine learning concepts and algorithms</span></li><li fr-original-style="" style="box-sizing: border-box;"><span style="color: rgb(38, 99, 82) !important; box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">Discover developing custom data solutions</span></li></ul><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(38, 99, 82) !important;">You can create various applications for science, math, machine learning, and data science with Python. As a high-level, general-purpose programming language, Python is quite English-like and easy to learn. This&nbsp;<b fr-original-style="" style="box-sizing: border-box;">Python for Data Science and Machine Learning</b>&nbsp;course will show you how to use Python for machine learning and data science.</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">During the course, you will master every useful Python skill you need for data science and machine learning. If you find it challenging to write complex Python programs, we&rsquo;ll show you how to do so with our step-by-step instructions based on actual work contexts. You&rsquo;ll also learn how to run the regression, classification, and clustering and the specifics of supervised and unsupervised machine learning. Moreover, this course covers how statistics work for data science, hypothesis testing, and much more.</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">An expert instructor designed this&nbsp;<b fr-original-style="" style="box-sizing: border-box;">&ldquo;Python for Data Science and Machine Learning&rdquo;</b>&nbsp;course to provide you with the best learning experience possible. Our goal is for you to learn and apply the lessons from this course to improve your skills.&nbsp;</p><p style="color: rgb(38, 99, 82) !important; font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(38, 99, 82) !important;">To become a master of Python, Enrol Now!</p><h3 style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Accredited by</span></h3><p style="color: rgb(15, 21, 26); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(15, 21, 26);">This course is <strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">CPDQE&nbsp;</strong>accredited, which serves as an impactful mechanism for skill enhancement.&nbsp;</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">Continuing Professional Development (CPD) stands as a crucial, widely acknowledged method that aids individuals, organisations, and entire industries in staying current with their skills and knowledge.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);">CPD not only facilitates the elevation of global standards and benchmarks, aligning with the growing forces of globalisation and consumer expectations but also transforms learning into a deliberate and proactive process. It motivates professionals to uphold a consistently high level of performance and demonstrates their unwavering commitment to a specific job role or profession.</p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><br fr-original-style="" style="box-sizing: border-box;"></p><p style="color: rgb(0, 0, 0); font-size: var(--font-size); box-sizing: border-box;" fr-original-style=" color: rgb(0, 0, 0);"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;"><span style="font-size: 24px; box-sizing: border-box;" fr-original-style="font-size: 24px;">Course Curriculum</span></strong></p><ul fr-original-style="" style="box-sizing: border-box;"><li id="isPasted" fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Introduction to Python for Data Science &amp; Machine Learning from A-Z</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science &amp; Machine Learning Concepts</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python For Data Science</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Statistics for Data Science</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Probability and Hypothesis Testing</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">NumPy Data Analysis</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Pandas Data Analysis</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Python Data Visualization</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Introduction to Machine Learning</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Loading &amp; Exploration</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Cleaning</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Feature Selecting and Engineering</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Linear and Logistic Regression</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">K Nearest Neighbours</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Decision Trees</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Ensemble Learning and Random Forests</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Support Vector Machines</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">K-Means</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">PCA</strong></li><li fr-original-style="" style="box-sizing: border-box;"><strong fr-original-style="" style="font-weight: 700; box-sizing: border-box;">Data Science Career</strong></li></ul>

This course aims to teach you how to use Python for machine learning and data science.



Python for Data Science and Machine Learning

<strong>In this practical, hands-on course, you'll learn how to use R for effective data analysis and visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.</strong>
        <p>The course covers practical issues in statistical computing that include programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting on R code. Blending practical work with solid theoretical training, we take you from the basics of R programming to mastery.

We understand that theory is important to build a solid foundation, we also understand that theory alone isn't going to get the job done so that's why this course is packed with practical hands-on examples that you can follow step by step. Even if you already have some coding experience, or want to learn about the advanced features of the R programming language, this course is for you!

R coding experience is either required or recommended in job postings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers, and much more. Adding R coding language skills to your resume will help you in any one of these data specializations requiring mastery of statistical techniques.

By the end of the course, you'll be a professional data scientist with R and confidently apply for jobs and will feel good knowing that you have the skills and knowledge to back it up.

All resources are placed here: https://github.com/PacktPublishing/Data-Science-and-Machine-Learning-with-R-from-A-Z-Course-Updated-for-2021-</p>
        <h2>What You Will Learn</h2><p>Learn data cleaning, processing, wrangling, and manipulation<br>Learn plotting in R (graphs, charts, plots, histograms, and more)<br>How to create a resume and land your first job as a data scientist<br>Learn machine learning and its various practical applications<br>Learn data and file management in R<br>Use R to clean, analyze, and visualize data</p>
        <h2>Audience</h2><p>This course is designed for beginners who want to learn about data science and machine learning. No prior knowledge of R is required.</p>
        <h2>Approach</h2><p>This course takes you through data analysis in R, data visualization in R, and machine learning with hands-on step-by-step training.</p>
        <h2>Key Features</h2><p>Learn data extraction and web scraping * Learn to build custom data solutions * Learn automating dynamic report generation</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Data-Science-and-Machine-Learning-with-R-from-A-Z-Course-Updated-for-2021-</p>
        <h2>About the Author</h2><h3>Juan E. Galvan</h3><p>Juan E. Galvan has been an entrepreneur since grade school. His background is in the tech space from digital marketing, e-commerce, web development to programming. He believes in continuous education with the best of a university degree without all the downsides of burdensome costs and inefficient methods. He looks forward to helping people expand their skillsets.</p>
        <h2>Course Outline</h2><h4>1. Data Science and Machine Leaning Course Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Data Science and Machine Learning Introduction Section Overview</p><p style='margin: 0'>This video explains data science and machine learning.</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Data Science?</p><p style='margin: 0'>This video explains the concept of data science.</p></td></tr><tr><td style='padding: 15px;'><p>3. Machine Learning Overview</p><p style='margin: 0'>This video gives an overview of machine learning.</p></td></tr><tr><td style='padding: 15px;'><p>4. Data Science + Machine Learning Marketplace</p><p style='margin: 0'>This video explains the various trends and job opportunities in data science and machine learning.</p></td></tr><tr><td style='padding: 15px;'><p>5. Who is this Course For?</p><p style='margin: 0'>This video explains the audience for this course.</p></td></tr><tr><td style='padding: 15px;'><p>6. Data Science and Machine Learning Job Opportunities</p><p style='margin: 0'>This video explains the various job opportunities in data science and machine learning.</p></td></tr><tr><td style='padding: 15px;'><p>7. Data Science Job Roles</p><p style='margin: 0'>This video explains the various job roles for data science.</p></td></tr></tbody></table><br><h4>2. Getting Started with R</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Getting Started with R</p><p style='margin: 0'>This video explains the concept of R.</p></td></tr><tr><td style='padding: 15px;'><p>2. R Basics</p><p style='margin: 0'>This video explains the R basics.</p></td></tr><tr><td style='padding: 15px;'><p>3. Working with Files</p><p style='margin: 0'>This video explains working with files in R.</p></td></tr><tr><td style='padding: 15px;'><p>4. R Studio</p><p style='margin: 0'>This video explains R studio.</p></td></tr><tr><td style='padding: 15px;'><p>5. Tidyverse Overview</p><p style='margin: 0'>This video provides an overview of tidyverse.</p></td></tr><tr><td style='padding: 15px;'><p>6. Additional Resources</p><p style='margin: 0'>This video shares some additional resources that will help you get along with the course.</p></td></tr></tbody></table><br><h4>3. Data Types and Structures in R</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Data Types and Structures in R Section Overview</p><p style='margin: 0'>This video explains data types and structures in R.</p></td></tr><tr><td style='padding: 15px;'><p>2. Basic Types</p><p style='margin: 0'>This video explains basic types in R.</p></td></tr><tr><td style='padding: 15px;'><p>3. Vectors - Part One</p><p style='margin: 0'>This video introduces you to vectors.</p></td></tr><tr><td style='padding: 15px;'><p>4. Vectors - Part Two</p><p style='margin: 0'>This video explains how to interact with R using vectors.</p></td></tr><tr><td style='padding: 15px;'><p>5. Vectors: Missing Values</p><p style='margin: 0'>This video explains vector missing values.</p></td></tr><tr><td style='padding: 15px;'><p>6. Vectors: Coercion</p><p style='margin: 0'>This video explains coercion.</p></td></tr><tr><td style='padding: 15px;'><p>7. Vectors: Naming</p><p style='margin: 0'>This video explains vector naming.</p></td></tr><tr><td style='padding: 15px;'><p>8. Vectors: Miscellaneous</p><p style='margin: 0'>This video explains miscellaneous yet important concepts in vectors.</p></td></tr><tr><td style='padding: 15px;'><p>9. Working with Matrices</p><p style='margin: 0'>This video explains working with matrices.</p></td></tr><tr><td style='padding: 15px;'><p>10. Working with Lists</p><p style='margin: 0'>This video explains working with lists.</p></td></tr><tr><td style='padding: 15px;'><p>11. Introduction to Data Frames</p><p style='margin: 0'>This video explains introduction to data frames.</p></td></tr><tr><td style='padding: 15px;'><p>12. Creating Data Frames</p><p style='margin: 0'>This video explains creating data frames.</p></td></tr><tr><td style='padding: 15px;'><p>13. Data Frames: Helper Functions</p><p style='margin: 0'>This video explains data frames helper functions.</p></td></tr><tr><td style='padding: 15px;'><p>14. Data Frames: Tibbles</p><p style='margin: 0'>This video explains Tibbles in data frames.</p></td></tr></tbody></table><br><h4>4. Intermediate R</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Intermedia R Section Introduction</p><p style='margin: 0'>This video introduces you to R section.</p></td></tr><tr><td style='padding: 15px;'><p>2. Relational Operators</p><p style='margin: 0'>This video explains relational operators.</p></td></tr><tr><td style='padding: 15px;'><p>3. Logical Operators</p><p style='margin: 0'>This video explains logical operators,</p></td></tr><tr><td style='padding: 15px;'><p>4. Conditional Statements</p><p style='margin: 0'>This video explains conditional statements.</p></td></tr><tr><td style='padding: 15px;'><p>5. Working with Loops</p><p style='margin: 0'>This video explains working with loops.</p></td></tr><tr><td style='padding: 15px;'><p>6. Working with Functions</p><p style='margin: 0'>This video explains working with functions in R.</p></td></tr><tr><td style='padding: 15px;'><p>7. Working with Packages</p><p style='margin: 0'>This video explains working with packages.</p></td></tr><tr><td style='padding: 15px;'><p>8. Working with Factors</p><p style='margin: 0'>This video explains working with factors in R.</p></td></tr><tr><td style='padding: 15px;'><p>9. Dates and Times</p><p style='margin: 0'>This video explains dates and times in R.</p></td></tr><tr><td style='padding: 15px;'><p>10. Functional Programming</p><p style='margin: 0'>This video explains functional programming.</p></td></tr><tr><td style='padding: 15px;'><p>11. Data Import/Export</p><p style='margin: 0'>This video explains how to import and export data in R.</p></td></tr><tr><td style='padding: 15px;'><p>12. Working with Databases</p><p style='margin: 0'>This video explains working with databases.</p></td></tr></tbody></table><br><h4>5. Data Manipulation in R</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Data Manipulation Section Introduction</p><p style='margin: 0'>This video introduces you to data manipulation.</p></td></tr><tr><td style='padding: 15px;'><p>2. Tidy Data</p><p style='margin: 0'>This video explains tidy data.</p></td></tr><tr><td style='padding: 15px;'><p>3. The Pipe Operator</p><p style='margin: 0'>This video explains pipe operator.</p></td></tr><tr><td style='padding: 15px;'><p>4. {dplyr}: The Filter Verb</p><p style='margin: 0'>This video explains the filter verb.</p></td></tr><tr><td style='padding: 15px;'><p>5. {dplyr}: The Select Verb</p><p style='margin: 0'>This video explains the select verb</p></td></tr><tr><td style='padding: 15px;'><p>6. {dplyr}: The Mutate Verb</p><p style='margin: 0'>This video explains the mutate verb.</p></td></tr><tr><td style='padding: 15px;'><p>7. {dplyr}: The Arrange Verb</p><p style='margin: 0'>This video explains the purpose of arrange verb.</p></td></tr><tr><td style='padding: 15px;'><p>8. {dplyr}: The Summarize Verb</p><p style='margin: 0'>This video explains the summarize verb.</p></td></tr><tr><td style='padding: 15px;'><p>9. Data Pivoting: {tidyr}</p><p style='margin: 0'>This video explains data pivoting.</p></td></tr><tr><td style='padding: 15px;'><p>10. String Manipulation: {stringr}</p><p style='margin: 0'>This video explains string manipulation.</p></td></tr><tr><td style='padding: 15px;'><p>11. Web Scraping: {rvest}</p><p style='margin: 0'>This video explains web scraping.</p></td></tr><tr><td style='padding: 15px;'><p>12. JSON Parsing: {jsonlite}</p><p style='margin: 0'>This video explains JSON parsing.</p></td></tr></tbody></table><br><h4>6. Data Visualization in R</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Data Visualization in R Section Introduction</p><p style='margin: 0'>This video explains data visualization in R.</p></td></tr><tr><td style='padding: 15px;'><p>2. Getting Started with Data Visualization in R</p><p style='margin: 0'>This video explains getting started with data visualization in R.</p></td></tr><tr><td style='padding: 15px;'><p>3. Aesthetics Mappings</p><p style='margin: 0'>This vide explains aesthetics mappings.</p></td></tr><tr><td style='padding: 15px;'><p>4. Single Variable Plots</p><p style='margin: 0'>This video focuses on single variable plots.</p></td></tr><tr><td style='padding: 15px;'><p>5. Two Variable Plots</p><p style='margin: 0'>This video explains two variable plots.</p></td></tr><tr><td style='padding: 15px;'><p>6. Facets, Layering, and Coordinate Systems</p><p style='margin: 0'>This video explains facets, layering, and coordinate systems.</p></td></tr><tr><td style='padding: 15px;'><p>7. Styling and Saving</p><p style='margin: 0'>This video explains styling and saving.</p></td></tr></tbody></table><br><h4>7. Creating Reports with R Markdown</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to R Markdown</p><p style='margin: 0'>This video is an introduction to R.</p></td></tr></tbody></table><br><h4>8. Building Webapps with R Shiny</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to R Shiny</p><p style='margin: 0'>This video is an introduction to R Shiny</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating a Basic R Shiny App</p><p style='margin: 0'>This video helps you to create a basic R shiny app.</p></td></tr><tr><td style='padding: 15px;'><p>3. Other Examples with R Shiny</p><p style='margin: 0'>This video gives various examples with R shiny.</p></td></tr></tbody></table><br><h4>9. Introduction to Machine Learning</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Machine Learning Part One</p><p style='margin: 0'>This video is an introduction to machine learning.</p></td></tr><tr><td style='padding: 15px;'><p>2. Introduction to Machine Learning Part Two</p><p style='margin: 0'>This video explains the different approaches in machine learning.</p></td></tr></tbody></table><br><h4>10. Data Preprocessing</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Data Preprocessing Introduction</p><p style='margin: 0'>This video introduces you to data preprocessing.</p></td></tr><tr><td style='padding: 15px;'><p>2. Data Preprocessing</p><p style='margin: 0'>This video explains some of the practical ways of data preprocessing.</p></td></tr></tbody></table><br><h4>11. Linear Regression: A Simple Model</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Linear Regression: A Simple Model Introduction</p><p style='margin: 0'>This video explains a simple linear regression model.</p></td></tr><tr><td style='padding: 15px;'><p>2. A Simple Model</p><p style='margin: 0'>This video demonstrates a practical application of machine learning.</p></td></tr></tbody></table><br><h4>12. Exploratory Data Analysis</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Exploratory Data Analysis Introduction</p><p style='margin: 0'>This video gives an introduction to exploratory data analysis.</p></td></tr><tr><td style='padding: 15px;'><p>2. Hands-on Exploratory Data Analysis</p><p style='margin: 0'>This video explains hands-on exploratory data analysis.</p></td></tr></tbody></table><br><h4>13. Linear Regression - a Real Model</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Linear Regression - Real Model Section Introduction</p><p style='margin: 0'>This video explains linear regression - a real model.</p></td></tr><tr><td style='padding: 15px;'><p>2. Linear Regression in R - Real Model</p><p style='margin: 0'>This video explains linear regression in R.</p></td></tr></tbody></table><br><h4>14. Logistic Regression</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction to Logistic Regression</p><p style='margin: 0'>This video introduces you to logistic regression.</p></td></tr><tr><td style='padding: 15px;'><p>2. Logistic Regression in R</p><p style='margin: 0'>This video explains logistic regression in R.</p></td></tr></tbody></table><br><h4>15. Starting a Career in Data Science</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Starting a Data Science Career Section Overview</p><p style='margin: 0'>This video explains section overview of data science and career.</p></td></tr><tr><td style='padding: 15px;'><p>2. Creating a Data Science Resume</p><p style='margin: 0'>This video explains creating a data science resume.</p></td></tr><tr><td style='padding: 15px;'><p>3. Getting Started with Freelancing</p><p style='margin: 0'>This vide explains how to get started with freelancing.</p></td></tr><tr><td style='padding: 15px;'><p>4. Top Freelance Websites</p><p style='margin: 0'>This video focuses on top freelancing websites.</p></td></tr><tr><td style='padding: 15px;'><p>5. Personal Branding</p><p style='margin: 0'>This video explains personal branding.</p></td></tr><tr><td style='padding: 15px;'><p>6. Networking Do's and Don'ts</p><p style='margin: 0'>This video explains networking do's and don'ts.</p></td></tr><tr><td style='padding: 15px;'><p>7. Setting Up a Website</p><p style='margin: 0'>This video explains how to set up a website.</p></td></tr></tbody></table>

In this practical, hands-on course, you'll learn how to use R for effective data analysis and visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.

Data Science and Machine Learning with R from A-Z Course [Updated for 2021]

Janets

Trainers Course

Data Science and Machine Learning using Python : A Bootcamp

Get involved in a learning adventure, mastering R from foundational basics to advanced techniques. This course is a gateway to the realm of data science. Explore statistical machine learning models and intricacies of deep learning and create interactive Shiny apps. Unleash the power of R and elevate your proficiency in data-driven decision-making.

R Ultimate 2023 - R for Data Science and Machine Learning

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					<div><p>Python has steadily ascended the ranks in the tech world, becoming the go-to language for Data Science and Machine Learning pursuits. Its versatility and ease of use make it an optimal choice for those aspiring to delve into the intricate realms of data analysis and algorithm development. By integrating Python into the curriculum, this course ensures that learners are not only familiar with the language but also proficient in its application to Data Science and Machine Learning tasks.</p><p>Data Science, on the other hand, stands as the backbone of today's analytical advancements. With the ever-growing quantum of data, there's a dire need for professionals who can sift through this data deluge and extract meaningful insights. This course simplifies complex topics, making it easier for learners to grasp the intricate mechanics of data manipulation, processing, and analysis. By emphasizing Python's role in Data Science, the course underscores its significance in modern-day data operations.</p><p>Lastly, Machine Learning represents the pinnacle of automated data analysis. With the power of Python and the methodologies of Data Science, Machine Learning enables systems to learn from data and make decisions. This course elucidates these concepts, teaching learners to design, implement, and test Machine Learning algorithms. The synergy of Python, Data Science, and Machine Learning in this curriculum ensures that, by the end, learners are well-equipped to tackle any data challenge that comes their way.</p></div>
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										<span>Acquire in-depth knowledge of Data Science techniques using Python.</span>
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										<span>Understand and implement Machine Learning algorithms.</span>
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										<span>Analyze and visualize data with Python libraries like Pandas and Matplotlib.</span>
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										<span>Evaluate and compare Machine Learning algorithms for optimum results.</span>
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										<span>Develop real-time prediction models using trained datasets.</span>
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			<h2> <b>Why should I take this course?</b></h2>		</div>
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										<span>Stay ahead in the rapidly growing field of Data Science and Machine Learning.</span>
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										<span>Enhance career opportunities in the tech and data sectors.</span>
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										<span>Learn to use Python, a leading programming language in Data Science.</span>
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										<span>Address real-world business challenges using data analysis.</span>
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										<span>Achieve proficiency in handling and visualizing large datasets.</span>
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										<span>Eagerness to learn Data Science and Machine Learning.</span>
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Master Data Science and Machine Learning with Python to transform data-driven decisions in businesses.

Data Science & Machine Learning with Python

<strong>In the fast-paced world of data science and machine learning, you have to stay up-to-date and keep ahead of the competition. For this, you have to constantly be on the lookout for the latest trends in tools and techniques for data science and machine learning. You don't want to miss out on the latest trend and the tool of the future! Right now, that tool is the Julia programming language. It's the hot new language that all ML and data science experts are very excited about. Learning Julia will open up several doors for you in your career!</strong>
        <p>The objective of this course is to give you a strong foundation needed to excel in Julia and learn the core of the language as well as the applied side in the shortest amount of time possible.

We won't waste time with the theory of why Julia is fast. We will jump right into the details and start coding. You will quickly realize how easy it is to learn this state-of-the-art and promising language. You will see how you can start using Julia to excel in your current job without moving the whole stack to Julia immediately.

After explaining the basic concepts, we jump to case studies in data science and then machine learning. We apply both traditional machine learning models and then get to deep learning. You will see how Julia can help you create deep learning models from scratch in just a few lines of code and then move on to the state-of-the-art models without spending too much time.

This way, you get to learn the most important concepts in this subject in the shortest amount of time possible without having to deal with the details of the less relevant topics. Once you have developed an intuition of the important stuff, you can then learn the latest and greatest models even on your own!

By the end of the course, you will have a strong understanding of Julia programming language fundamentals.
The code files are available here: https://github.com/PacktPublishing/Julia-Programming-Language---From-Zero-to-Expert-</p>
        <h2>What You Will Learn</h2><p>Learn coding in Julia programming language<br>Use DataFrames (equivalent to Pandas) in Julia<br>Create ML models from scratch in a way that helps you make modifications easily<br>Learn data wrangling with Julia<br>Use Julia to perform data manipulation, Apache Arrow, grouping, and analysis<br>Classify using decision trees and random forests</p>
        <h2>Audience</h2><p>This course is for all levels of data science and machine learning practitioners aiming to enhance their abilities and skill level in DS and ML. Developers who want to know how to harness the power of big data can also go for this course.<br><br>A basic understanding of programming is a must. Understanding Python, basic data science (reading CSVs and so on), and basic concepts of deep learning (such as classification) is not necessary but would be helpful.</p>
        <h2>Approach</h2><p>This course follows a code-oriented and case-study-based approach. In this course, you will learn by practice as every concept explanation is followed by practical implementation.</p>
        <h2>Key Features</h2><p>Learn the syntax of Julia and its differences from Python * Learn machine learning models, both traditional and deep * Explore data science case studies, including analysis and clustering</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Julia-Programming-Language---From-Zero-to-Expert-</p>
        <h2>About the Author</h2><h3>Dr. Mohammad Nauman</h3><p>Dr. Mohammad Nauman has a PhD in computer science and a PostDoc from the Max Planck Institute for software systems. He has been programming since early 2000 and has worked with many different languages, tools, and platforms. He holds extensive research experience with many state-of-the-art models. His research in Android security has led to some major shifts in the Android permission model.
He loves teaching and the most important reason he teaches online is to make sure that maximum people can learn through his content. Hope you have fun learning with him!</p>
        <h2>Course Outline</h2><h4>1. Intro and Setting up</h4><p></p><br><h4>2. Core Language Basics</h4><p></p><br><h4>3. Arrays and Matrices: Native Language Support</h4><p></p><br><h4>4. Functions and Fun Stuff</h4><p></p><br><h4>5. Getting Started with Data Science</h4><p></p><br><h4>6. Case Studies in Data Science</h4><p></p><br><h4>7. Deep Learning - Flux in Julia</h4><p></p><br><h4>8. Parting Words</h4><p></p>

Programming

In the fast-paced world of data science and machine learning, you have to stay up-to-date and keep ahead of the competition. For this, you have to constantly be on the lookout for the latest trends in tools and techniques for data science and machine learning. You don't want to miss out on the latest trend and the tool of the future! Right now, that tool is the Julia programming language. It's the hot new language that all ML and data science experts are very excited about. Learning Julia will open up several doors for you in your career!

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