Name: Quality Assurance Engineer Diploma - CPD Certified
Price: 279 GBP
Availability: InStock

<p>Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified<strong> IT Support Technical Skills Bootcamp</strong> bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our <strong>40</strong> course mega bundle that will exceed your expectations within your budget.</p> <p>The<strong> IT Support Technical Skills Bootcamp</strong> related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then <strong> StudyHub </strong>proposes a preparatory bundle. This comprehensive <strong>IT Support Technical Skills Bootcamp</strong> bundle will help you build a solid foundation to become a proficient worker in the sector.</p> <p><strong>This IT Support Technical Skills Bootcamp Bundle consists of the following</strong><strong> 30 </strong><strong>CPD Accredited Premium courses - </strong></p> <ul> <li>Course 01 :IT Support Technician</li><li>Course 02 :Network Security and Risk Management</li><li>Course 03 :CompTIA Network</li><li>Course 04 :Information Management</li><li>Course 05 :Web Application Penetration Testing Course</li><li>Course 06 :CompTIA Cloud+ (CV0-002)</li><li>Course 07 :Learn Ethical Hacking with Kali Linux</li><li>Course 08 :Web Design (HTML, CSS, Bootstrap) Complete Course</li><li>Course 09 :Python Course</li><li>Course 10 :JavaScript</li><li>Course 11 :ASP.Net MVC and Entity Framework Course</li><li>Course 12 :Learn Spring &amp; Angular Material with a Full Web Application</li><li>Course 13 :Typescript</li><li>Course 14 :U&amp;P AI - Natural Language Processing (NLP) with Python</li><li>Course 15 :Ruby on Rails Web Application Framework</li><li>Course 16 :Data Science and Visualisation with Machine Learning</li><li>Course 17 :SQL For Data Analytics &amp; Database Development</li><li>Course 18 :PLC Programming Diploma</li><li>Course 19 :Cisco ASA Firewall Training Course</li><li>Course 20 :Create Your First Responsive Website</li><li>Course 21 :C# (C-Sharp)</li><li>Course 22 :Computer Operating System and Troubleshooting</li><li>Course 23 :Building Your Own Computer Course</li><li>Course 24 :It: Ethical Hacking, IT Security and IT Cyber Attacking</li><li>Course 25: SQL Database Administrator</li><li>Course 26: MS Word Essentials - The Complete Word Course - Level 3</li><li>Course 27: Data Protection (GDPR) Practitioner</li><li>Course 28: Website Hacking From Scratch</li><li>Course 29: Diploma in Front-End Web Development (HTML, CSS, &amp; Bootstrap)</li><li>Course 30: SQL Server 101 : Microsoft SQL Server for Absolute Beginners</li></ul> <p><strong>10 </strong><strong>Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques-</strong></p> <ul> <li>Course 01 :Career Development Plan Fundamentals</li><li>Course 02 :CV Writing and Job Searching</li><li>Course 03 :Interview Skills: Ace the Interview</li><li>Course 04 :Video Job Interview for Job Seekers</li><li>Course 05 :Create a Professional LinkedIn Profile</li><li>Course 06 :Business English Perfection Course</li><li>Course 07 :Networking Skills for Personal Success</li><li>Course 08 :Boost Your Confidence and Self-Esteem</li><li>Course 09 :Public Speaking Training</li><li>Course 10 :Learn to Fight Procrastination</li></ul> <p><strong>Learning Outcome</strong></p> <p><strong>This tailor-made </strong><strong>IT Support Technical Skills Bootcamp</strong><strong> bundle will allow you to-</strong></p> <ul> <li>Uncover your skills and aptitudes to break new ground in the related fields</li><li>Deep dive into the fundamental knowledge </li><li>Acquire some hard and soft skills in this area </li><li>Gain some transferable skills to elevate your performance</li><li>Maintain good report with your clients and staff</li><li>Gain necessary office skills and be tech savvy utilising relevant software </li><li>Keep records of your work and make a report </li><li>Know the regulations around this area</li><li>Reinforce your career with specific knowledge of this field </li><li>Know your legal and ethical responsibility as a professional in the related field</li></ul> <p>This IT Support Technical Skills Bootcamp Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.</p> <p><strong>Certification</strong></p> <p>After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and <strong>1 hardcopy certificate for the Title Course completely free</strong>. Other Hard Copy certificates need to be ordered at an additional cost of •8.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        400 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>Ambitious learners who want to strengthen their CV for their desired job should take advantage of the IT Support Technical Skills Bootcamp bundle! This bundle is also ideal for professionals looking for career advancement.</p> 
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>To participate in this course, all you need is -</p> <ul> <li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in IT Support Technical Skills Bootcamp</li></ul> 
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.</p> 
                        </div>

Studyhub UK

IT Certifications

IT Skills

Computer Skills

Professional Skills Course (PSC)

Trainers Course

Digital Skills

IT Support Technical Skills Bootcamp

General Admission

<strong>In this course, we will start with extremely basic concepts such as learning the programming language fundamentals and other supporting libraries. Then we will proceed with the core topics with the help of real-world datasets to gain a complete understanding of deep learning using Python and Keras.</strong>
        <p>The artificial intelligence domain is divided broadly into deep learning and machine learning. In fact, deep learning is machine learning itself but deep learning with its deep neural networks and algorithms tries to learn high-level features from data without human intervention. That makes deep learning the base of all future self-intelligent systems.

This course begins with going over the basics of Python and then quickly moves on to important libraries of Python that are critical to data analysis and visualizations, such as NumPy, Pandas, and Matplotlib. After the basics, we will then install the deep learning libraries-Theano and TensorFlow-and the API for dealing with these called Keras.

Then, before we jump into deep learning, we will have an elaborate theory session about the basic structure of artificial neuron and neural networks, and about activation functions, loss functions, and optimizers.

Furthermore, we will create deep learning multi-layer neural network models for a text-based dataset and then convolutional neural networks for an image-based dataset.

You will also learn how the basic CNN layers such as the convolution layer, the pooling layer, and the fully connected layer work. Then, we will use different techniques to improve the quality of a model and perform optimization using image augmentation.

By the end of this course, you will have a complete understanding of deep learning and will be able to implement these skills in your own projects.

The complete code bundle for this course is available at https://github.com/PacktPublishing/Deep-Learning-using-Keras---A-Complete-and-Compact-Guide-for-Beginners</p>
        <h2>What You Will Learn</h2><p>Learn the basics of Python programming<br>Use different Python libraries such as NumPy, Matplotlib, and Pandas<br>Understand the basic structure of artificial neurons and neural networks<br>Explore activation functions, loss functions, and optimizers<br>Create deep learning multi-layer neural network models for a text-based dataset<br>Create convolutional neural networks for an image-based dataset</p>
        <h2>Audience</h2><p>This course is designed for beginners who want to learn basic to advanced deep learning and have basic computer knowledge.</p>
        <h2>Approach</h2><p>This course is a combination of theory and practical videos where we will understand the basics of Python programming, Python libraries, and deep learning concepts, and then use different datasets to understand deep learning using Keras.</p>
        <h2>Key Features</h2><p>Perform exploratory data analysis of the loaded data and prepare the data for giving it into the deep learning model * Learn how basic CNN layers such as the convolution layer, the pooling layer, and the fully connected layer work * Learn to use Google Colab to enhance parallel processing with VGGNet and ResNet models</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Deep-Learning-using-Keras---A-Complete-and-Compact-Guide-for-Beginners</p>
        <h2>About the Author</h2><h3>Abhilash Nelson</h3><p>Abhilash Nelson is a pioneering, talented, and security-oriented Android/iOS mobile and PHP/Python web application developer with more than 8 years of IT experience involving designing, implementing, integrating, testing, and supporting impactful web and mobile applications. He has a master's degree in computer science and engineering and has PHP/Python programming experience, which is an added advantage for server-based Android and iOS client applications. Abhilash is currently a senior solution architect managing projects from start to finish to ensure high quality and innovative and functional design.</p>
        <h2>Course Outline</h2><h4>1. Course Introduction and Table of Contents</h4><p></p><br><h4>2. Introduction to AI and Machine Learning</h4><p></p><br><h4>3. Introduction to Deep learning and Neural Networks</h4><p></p><br><h4>4. Setting up Computer - Installing Anaconda</h4><p></p><br><h4>5. Python Basics</h4><p></p><br><h4>6. Numpy Basics</h4><p></p><br><h4>7. Matplotlib Basics</h4><p></p><br><h4>8. Pandas Basics</h4><p></p><br><h4>9. Installing Deep Learning Libraries</h4><p></p><br><h4>10. Basic Structure of Artificial Neuron and Neural Network</h4><p></p><br><h4>11. Activation Functions Introduction</h4><p></p><br><h4>12. Popular Types of Activation Functions</h4><p></p><br><h4>13. Popular Types of Loss Functions</h4><p></p><br><h4>14. Popular Optimizers</h4><p></p><br><h4>15. Popular Neural Network Types</h4><p></p><br><h4>16. King County House Sales Regression Model - Step 1 Fetch and Load Dataset</h4><p></p><br><h4>17. Step 2 and 3 EDA and Data Preparation</h4><p></p><br><h4>18. Step 4 Defining the Keras Model</h4><p></p><br><h4>19. Step 5 and 6 Compile and Fit Model</h4><p></p><br><h4>20. Step 7 Visualize Training and Metrics</h4><p></p><br><h4>21. Step 8 Prediction Using the Model</h4><p></p><br><h4>22. Heart Disease Binary Classification Model - Introduction</h4><p></p><br><h4>23. Step 1 - Fetch and Load Data</h4><p></p><br><h4>24. Step 2 and 3 - EDA and Data Preparation</h4><p></p><br><h4>25. Step 4 - Defining the model</h4><p></p><br><h4>26. Step 5 - Compile Fit and Plot the Model</h4><p></p><br><h4>27. Step 5 - Predicting Heart Disease using Model</h4><p></p><br><h4>28. Redwine Quality MultiClass Classification Model - Introduction</h4><p></p><br><h4>29. Step1 - Fetch and Load Data</h4><p></p><br><h4>30. Step 2 - EDA and Data Visualization</h4><p></p><br><h4>31. Step 3 - Defining the Model</h4><p></p><br><h4>32. Step 4 - Compile Fit and Plot the Model</h4><p></p><br><h4>33. Step 5 - Predicting Wine Quality using Model</h4><p></p><br><h4>34. Serialize and Save Trained Model for Later Use</h4><p></p><br><h4>35. Digital Image Basics</h4><p></p><br><h4>36. Basic Image Processing using Keras Functions</h4><p></p><br><h4>37. Keras Single Image Augmentation</h4><p></p><br><h4>38. Keras Directory Image Augmentation</h4><p></p><br><h4>39. Keras Data Frame Augmentation</h4><p></p><br><h4>40. CNN Basics</h4><p></p><br><h4>41. Stride, Padding and Flattening Concepts of CNN</h4><p></p><br><h4>42. Flowers CNN Image Classification Model - Fetch Load and Prepare Data</h4><p></p><br><h4>43. Flowers Classification CNN - Create Test and Train Folders</h4><p></p><br><h4>44. Flowers Classification CNN - Defining the Model</h4><p></p><br><h4>45. Flowers Classification CNN - Training and Visualization</h4><p></p><br><h4>46. Flowers Classification CNN - Save Model for Later Use</h4><p></p><br><h4>47. Flowers Classification CNN - Load Saved Model  and Predict</h4><p></p><br><h4>48. Flowers Classification CNN - Optimization Techniques - Introduction</h4><p></p><br><h4>49. Flowers Classification CNN - Dropout Regularization</h4><p></p><br><h4>50. Flowers Classification CNN - Padding and Filter Optimization</h4><p></p><br><h4>51. Flowers Classification CNN - Augmentation Optimization</h4><p></p><br><h4>52. Hyper Parameter Tuning</h4><p></p><br><h4>53. Transfer Learning using Pretrained Models - VGG Introduction</h4><p></p><br><h4>54. VGG16 and VGG19 prediction</h4><p></p><br><h4>55. ResNet50 Prediction</h4><p></p><br><h4>56. VGG16 Transfer Learning Training Flowers Dataset</h4><p></p><br><h4>57. VGG16 Transfer Learning Flower Prediction</h4><p></p><br><h4>58. VGG16 Transfer Learning using Google Colab GPU - Preparing and Uploading Dataset</h4><p></p><br><h4>59. VGG16 Transfer Learning using Google Colab GPU - Training and Prediction</h4><p></p><br><h4>60. VGG19 Transfer Learning using Google Colab GPU - Training and Prediction</h4><p></p><br><h4>61. ResNet-50 Transfer Learning using Google Colab GPU - Training and Prediction</h4><p></p>

Packt

Keras

Computer Vision

Python

Pandas

Deep Learning

In this course, we will start with extremely basic concepts such as learning the programming language fundamentals and other supporting libraries. Then we will proceed with the core topics with the help of real-world datasets to gain a complete understanding of deep learning using Python and Keras.

Deep Learning Using Keras - A Complete and Compact Guide for Beginners

TensorFlow

The course is crafted to reflect the in-demand skills in the marketplace that will help you in mastering the key concepts and methodologies of RL and deep RL, along with several practical implementations.
This course will help you know the theory and practical aspects of reinforcement and deep reinforcement learning.

Reinforcement Learning and Deep RL Python (Theory and Projects)

<p><strong> 14 in 1 "IT and Analytics" Bundle only at £100</strong></p><p><strong>Get Hard Copy + PDF Certificates + Transcript + Student ID Card + e-Learning App as a Gift - Enrol Now</strong></p><p>Tired of browsing and searching for a <strong>IT and Analytics </strong>course you are looking for? Can't find the complete IT and Analytics package that fulfils all your needs? Then don't worry as you have just found the solution. Take a minute and look through this 14-in-1 extensive bundle that has everything you need to succeed in IT and Analytics and other relevant fields!</p><p>After surveying thousands of learners just like you and considering their valuable feedback, this all-in<strong>-</strong>one bundle has been designed by industry experts. We prioritised what learners were looking for in a complete package and developed this in-demand course that will enhance your skills and prepare you for the competitive job market.</p><p>Furthermore, to help you showcase your expertise in IT and Analytics, 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 Bundle Consists of the following Premium courses:</strong></p><ul><li><strong> Course 01: </strong>Introduction to Data Analysis</li><li><strong> Course 02: </strong>Quick Data Science Approach from Scratch</li><li><strong> Course 03: </strong>Excel Pivot Tables</li><li><strong> Course 04: </strong>Google Data Studio: Data Analytics</li><li><strong> Course 05: </strong>Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</li><li><strong> Course 06: </strong>Business Intelligence and Data Mining Masterclass</li><li><strong> Course 07: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong> Course 08: </strong>RCA: Root Cause Analysis</li><li><strong> Course 09: </strong>Master JavaScript with Data Visualization</li><li><strong> Course 10: </strong>CompTIA CySA+ Cybersecurity Analyst (CS0-002)</li><li><strong> Course 11: </strong>Electronic Document Management System Step</li><li><strong> Course 12: </strong>Information Management</li><li><strong> Course 13: </strong>Encryption</li><li><strong> Course 14: </strong>IT For Recruiters</li></ul><p>Enrol now to advance your career, and use the premium study materials from Apex Learning.</p><p><strong>Benefits you'll get from choosing Apex Learning for this </strong><strong>training</strong><strong>:</strong></p><ul><li>Pay once and get lifetime access to 14 CPD courses</li><li>Free e-Learning App for engaging reading materials &amp; helpful assistance</li><li>Certificates, student ID included in a one-time fee</li><li>Free up your time - don't waste time and money travelling for classes</li><li>Accessible, informative modules designed by expert instructors</li><li>Learn anytime, from anywhere</li><li>Study from your computer, tablet or mobile device</li><li>CPD accredited course - improve the chance of gaining professional skills</li></ul><p><strong>Curriculum</strong></p><p><strong>Course 01: </strong>Introduction to Data Analysis</p><ul><li>Introduction</li><li>Agenda and Principles of Process Management</li><li>The Voice of the Process</li><li>Working as One Team for Improvement</li><li>Exercise: The Voice of the Customer</li><li>Tools for Data Analysis</li><li>The Pareto Chart</li><li>The Histogram</li><li>The Run Chart</li><li>Exercise: Presenting Performance Data</li><li>Understanding Variation</li><li>The Control Chart</li><li>Control Chart Example</li><li>Control Chart Special Cases</li><li>Interpreting the Control Chart</li><li>Control Chart Exercise</li><li>Strategies to Deal with Variation</li><li>Using Data to Drive Improvement</li><li>A Structure for Performance Measurement</li><li>Data Analysis Exercise</li><li>Course Project</li><li>Test your Understanding</li></ul><p><strong>---------- Other Courses Are ----------</strong></p><p><strong> Course 02: Quick Data Science Approach from Scratch</strong></p><p><strong> Course 03: Excel Pivot Tables</strong></p><p><strong> Course 04: Google Data Studio: Data Analytics</strong></p><p><strong> Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</strong></p><p><strong> Course 06: Business Intelligence and Data Mining Masterclass</strong></p><p><strong> Course 07: Statistics &amp; Probability for Data Science &amp; Machine Learning</strong></p><p><strong> Course 08: RCA: Root Cause Analysis</strong></p><p><strong> Course 09: Master JavaScript with Data Visualization</strong></p><p><strong> Course 10: CompTIA CySA+ Cybersecurity Analyst (CS0-002)</strong></p><p><strong> Course 11: Electronic Document Management System Step</strong></p><p><strong> Course 12: Information Management</strong></p><p><strong> Course 13: Encryption</strong></p><p><strong> Course 14: IT For Recruiters</strong></p><h2>
        
        <div>CPD</div>
    </h2>

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

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

                        <div id="requirements">
                            <p>This course is fully compatible with PCs, Macs, laptops, tablets and Smartphone devices.</p><p>There is no time limit for completing this course; it can be studied in your own time at your own pace.</p>
                        </div><h2>
        
        <div>Career path</div>
    </h2>

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

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

                        </div>

Apex Learning

IT and Analytics Courses

<p>Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified<strong> Google Analytics Course - Taking Your Business to the Next Level</strong> bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our <strong>30 </strong>course mega bundle that will exceed your expectations within your budget.</p> <p>The<strong> Google Analytics Course - Taking Your Business to the Next Level</strong> related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then <strong>StudyHub </strong>proposes a preparatory bundle. This comprehensive <strong> Google Analytics Course - Taking Your Business to the Next Level</strong> bundle will help you build a solid foundation to become a proficient worker in the sector.</p> <p><strong>This Google Analytics Course - Taking Your Business to the Next Level Bundle consists of the following</strong><strong> 25 </strong><strong>CPD Accredited Premium courses - </strong></p> <ul> <li>Course 1: Google Data Studio: Data Analytics</li><li>Course 2: Diploma in Data Analysis Fundamentals</li><li>Course 3: Learn How To Optimize Your Google My Business Page In 2016</li><li>Course 4: How To Do Keyword Research For SEO &amp; Ranking On Google</li><li>Course 5: Excel Pivot Tables for Data Reporting</li><li>Course 6: Research Methods in Business</li><li>Course 7: Business Intelligence and Data Mining</li><li>Course 8: Marketing Strategies for Business</li><li>Course 9: Strategic Planning and Analysis for Marketing</li><li>Course 10: Digital Marketing for Beginners to Advanced</li><li>Course 11: Digital Marketing Starting an online E-Commerce Store</li><li>Course 12: Microsoft Power BI - Master Power BI in 90 Minutes!</li><li>Course 13: PowerBI Formulas</li><li>Course 14: Statistical Analysis</li><li>Course 15: Social Media Marketing-The Step by Step Guide</li><li>Course 16: Create Your First Responsive Website</li><li>Course 17: Complete Online Marketing &amp; Advertising Course</li><li>Course 18: Ultimate Social Media Marketing course</li><li>Course 19: Python Course</li><li>Course 20: Data Science &amp; Machine Learning with Python</li><li>Course 21: Basics of WordPress: Create Unlimited Websites</li><li>Course 22: The Ultimate SEO Blueprint - Easily Ranking #1 On Google</li><li>Course 23: Quick Data Science Approach from Scratch</li><li>Course 24: Fundamentals of Business Analysis</li><li>Course 25: Excel Data Analysis</li></ul> <p><strong>5 </strong><strong>Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques-</strong></p> <ul> <li>Course 1:Career Development Plan Fundamentals</li><li>Course 2:CV Writing and Job Searching</li><li>Course 3:Interview Skills: Ace the Interview</li><li>Course 4:Video Job Interview for Job Seekers</li><li>Course 5:Create a Professional LinkedIn Profile</li></ul> <p><strong>Learning Outcome</strong></p> <p><strong>This tailor-made </strong><strong>Google Analytics Course - Taking Your Business to the Next Level</strong><strong> bundle will allow you to-</strong></p> <ul> <li>Uncover your skills and aptitudes to break new ground in the related fields</li><li>Deep dive into the fundamental knowledge </li><li>Acquire some hard and soft skills in this area </li><li>Gain some transferable skills to elevate your performance</li><li>Maintain good report with your clients and staff</li><li>Gain necessary office skills and be tech savvy utilising relevant software </li><li>Keep records of your work and make a report </li><li>Know the regulations around this area</li><li>Reinforce your career with specific knowledge of this field </li><li>Know your legal and ethical responsibility as a professional in the related field</li></ul> <p>This Google Analytics Course - Taking Your Business to the Next Level Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.</p> <p><strong>Certification</strong></p> <p>After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and <strong>1 hardcopy certificate for the Title Course completely free</strong>. Other Hard Copy certificates need to be ordered at an additional cost of •8.</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>Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Google Analytics Course - Taking Your Business to the Next Level bundle! This bundle is also ideal for professionals looking for career advancement.</p> 
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>To participate in this course, all you need is -</p> <ul> <li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in  Google Analytics Course - Taking Your Business to the Next Level</li></ul> 
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields. </p> 
                        </div>

Online Course Marketing

Google Data Analytics

Google Analytics Individual Qualification

Marketing Analytics

Google Digital Marketing

Google Analytics Course - Taking Your Business to the Next Level

<p><strong>24 Hour Flash Deal **40-in-1 Level 5 Diploma in Cyber Security Mega Bundle**</strong><br /><br /><strong> Level 5 Diploma in Cyber Security Enrolment Gifts  **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter **</strong><br /><br />Take the initial steps toward a successful long-term career by studying the <strong>Level 5 Diploma in Cyber Security</strong> package online with <strong>Studyhub</strong> through our online learning platform. The Level 5 Diploma in Cyber Security bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass.<br /><br />This <strong>Level 5 Diploma in Cyber Security</strong> course provides complete 360-degree training on Level 5 Diploma in Cyber Security. You'll get not one, not two, not three, but <strong>forty </strong>Level 5 Diploma in Cyber Security courses included in this course. Plus Studyhub's signature <strong>Forever Access</strong> is given as always, meaning these <strong>Level 5 Diploma in Cyber Security</strong> courses are yours for as long as you want them once you enrol in this course<br /><br /><strong>This Level 5 Diploma in Cyber Security Bundle consists the following career oriented courses:</strong></p><ul><li>Course 01: Cyber Security Level 5 Advanced Training</li><li>Course 02: CompTIA Security+</li><li>Course 03: AWS Certified Solutions Architect Associate Preparation</li><li>Course 04: CEH: Learn Ethical Hacking From A-Z: Beginner To Expert</li><li>Course 05: CompTIA Cloud+ (CV0-002)</li><li>Course 06: Security Analyst</li><li>Course 07: CompTIA CySA+ Cybersecurity Analyst Course</li><li>Course 08: Cyber Security Awareness Training</li><li>Course 09: Web Application Penetration Testing</li><li>Course 10: Cyber Security Incident Handling and Incident Response</li><li>Course 11: Data Protection Level 3 and Data Security (GDPR) Training Certification</li><li>Course 12: Cyber Security Law</li><li>Course 13: Information Governance and Data Management Training</li><li>Course 14: Network Security and Risk Management</li><li>Course 15: Computer Networks Security from Scratch to Advanced</li><li>Course 16: Data Center Training Essentials: Mechanical &amp; Cooling</li><li>Course 17: IT Administration and Networking</li><li>Course 18: CompTIA Network+ Certification (N10-007)</li><li>Course 19: CompTIA Network</li><li>Course 20: Diploma in CompTIA A+</li><li>Course 21: CompTIA PenTest+ (Ethical Hacking) course</li><li>Course 22: CompTIA ITF+ (FCO-U61)</li><li>Course 23: CompTIA Healthcare IT Technician</li><li>Course 24: Foundations of IT Security: Protecting Digital Assets</li><li>Course 25: Digital Forensic Science: Unraveling Cybercrime Mysteries Course</li><li>Course 26: IT Support Technician: Troubleshooting and Technical Expertise</li><li>Course 27: SQL Database Management</li><li>Course 28: Quick Data Science Approach from Scratch</li><li>Course 29: Deep Learning Neural Network with R</li><li>Course 30: Computer Workstation Safety Training</li><li>Course 31: Foundations of Artificial Intelligence: Building Intelligent Systems</li><li>Course 32: Functional Skills IT/ ICT Level 2</li><li>Course 33: Internet of Things (IoT)</li><li>Course 34: AutoCAD Programming using with Windows Forms</li><li>Course 35: Ransomware Uncovered Specialist Certificate</li><li>Course 36: Security Management and Fraud Prevention Training</li><li>Course 37: Financial Statements Fraud Detection Training</li><li>Course 38: Transaction Monitoring in Financial Services: Ensuring Security</li><li>Course 39: Machine Learning Basics</li><li>Course 40: Electronic Device and Circuits Protection Training</li></ul><p><strong>In this exclusive Level 5 Diploma in Cyber Security bundle, you really hit the jackpot. Here's what you get:</strong></p><ul><li>Step by step Level 5 Diploma in Cyber Security lessons</li><li>One to one assistance from Level 5 Diploma in Cyber Security professionals if you need it</li><li>Innovative exams to test your knowledge after the Level 5 Diploma in Cyber Security course</li><li>24/7 customer support should you encounter any hiccups</li><li>Top-class learning portal</li><li>Unlimited lifetime access to all forty Level 5 Diploma in Cyber Security courses</li><li>Digital Certificate, Transcript and student ID are all included in the price</li><li>PDF certificate immediately after passing</li><li>Original copies of your Level 5 Diploma in Cyber Security certificate and transcript on the next working day</li><li>Easily learn the Level 5 Diploma in Cyber Security skills and knowledge you want from the comfort of your home</li></ul> <p>The <strong>Level 5 Diploma in Cyber Security</strong> course has been prepared by focusing largely on Level 5 Diploma in Cyber Security career readiness. It has been designed by our <strong>Cyber Security</strong> specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners.<br /><br />The <strong>Level 5 Diploma in Cyber Security</strong> Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Level 5 Diploma in Cyber Security bundle course has been created with forty premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field.<br /><br />This <strong>Level 5 Diploma in Cyber Security</strong> Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Level 5 Diploma in Cyber Security Elementary modules, allowing our students to grasp each lesson quickly.<br /><br />The <strong>Level 5 Diploma in Cyber Security</strong> course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc.</p> <h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                            <p>This <strong>Level 5 Diploma in Cyber Security </strong>training is suitable for -</p><ul><li>Students</li><li>Recent graduates</li><li>Job Seekers</li><li>Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Level 5 Diploma in Cyber Security</li></ul><p><strong>Please Note:</strong> Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.</p>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>To participate in this <strong>Level 5 Diploma in Cyber Security </strong>course, all you need is -</p><ul><li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in Level 5 Diploma in Cyber Security</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>You will be able to kickstart your <strong>Level 5 Diploma in Cyber Security </strong>career because this course includes various courses as a bonus. This Level 5 Diploma in Cyber Security is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Level 5 Diploma in Cyber Security career opportunities.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

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

                        </div>

Certified in Cybersecurity (CC)

Certificate in Further Education & Training (Cert Ed)

Cyber Security

Cyber Security Foundation

ICDL (International Certification of Digital Literacy)

Level 5 Diploma in Cyber Security - CPD Certified

<p><strong>Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now</strong></p> <p>Data analytics is a rapidly expanding discipline, and talented analysts are highly sought after in all industries. The UK and multinational organizations will undoubtedly see an increase in demand for skilled analysts in the coming years. We have created an 11-in-1 bundle course with a distinctive design to help you stand out in the related job market. It will guide you on how to read, evaluate, and display data in a way that is clear to all users and helps guide decisions.</p> <p>Along with this IT and Analytics course, you will get <strong>10 premium courses, an original </strong><strong>Hardcopy</strong>, <strong>11 PDF Certificates (Main Course + Additional Courses) </strong>Student ID card as gifts.</p> <p><strong>This Bundle Consists of the following Premium IT and Analytics courses: </strong></p> <ul> <li><strong> Course 01: </strong>Introduction to Data Analysis</li><li><strong> Course 02: </strong>Quick Data Science Approach from Scratch</li><li><strong> Course 03: </strong>Excel Pivot Tables</li><li><strong> Course 04: </strong>Google Data Studio: Data Analytics</li><li><strong> Course 05: </strong>Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</li><li><strong> Course 06: </strong>Business Intelligence and Data Mining Masterclass</li><li><strong> Course 07: </strong>Statistics &amp; Probability for Data Science &amp; Machine Learning</li><li><strong> Course 08: </strong>RCA: Root Cause Analysis</li><li><strong> Course 09: </strong>Master JavaScript with Data Visualization</li><li><strong> Course 10: </strong>CompTIA CySA+ Cybersecurity Analyst (CS0-002)</li><li><strong> Course 11: </strong>Electronic Document Management System Step</li></ul> <p><strong>Learning Outcomes</strong></p> <ul> <li>Get an overview of data analysis.</li><li>Familiarise yourself with the data science approach from the ground up.</li><li>Learn the link between google data studio and data analytics.</li><li>Explore various Excel data tools and management.</li><li>Gain a better understanding of statistics and probability in terms of data science.</li><li>Learn the fundamentals of Root cause analysis.</li><li>Learn javascript and data visualization.</li><li>Get introduced to the CSO-002.</li><li>Get insight into electronic document management systems.</li></ul><p><strong>Curriculum</strong></p> <p><strong> Course 01: Introduction to Data Analysis</strong></p> <ul> <li>Introduction</li><li>Agenda and Principles of Process Management</li><li>The Voice of the Process</li><li>Working as One Team for Improvement</li><li>Exercise: The Voice of the Customer</li><li>Tools for Data Analysis</li><li>The Pareto Chart</li><li>The Histogram</li><li>The Run Chart</li><li>Exercise: Presenting Performance Data</li><li>Understanding Variation</li><li>The Control Chart</li><li>Control Chart Example</li><li>Control Chart Special Cases</li><li>Interpreting the Control Chart</li><li>Control Chart Exercise</li><li>Strategies to Deal with Variation</li><li>Using Data to Drive Improvement</li><li>A Structure for Performance Measurement</li><li>Data Analysis Exercise</li><li>Course Project</li><li>Test your Understanding</li></ul> <p><strong>---------- Other Courses Are ----------</strong></p> <p><strong> Course 02: Quick Data Science Approach from Scratch</strong></p> <p><strong> Course 03: Excel Pivot Tables</strong></p> <p><strong> Course 04: Google Data Studio: Data Analytics</strong></p> <p><strong> Course 05: Excel Pivot Tables, Pivot Charts, Slicers, and Timelines</strong></p> <p><strong> Course 06: Business Intelligence and Data Mining Masterclass</strong></p> <p><strong> Course 07: Statistics &amp; Probability for Data Science &amp; Machine Learning</strong></p> <p><strong> Course 08: RCA: Root Cause Analysis</strong></p> <p><strong> Course 09: Master JavaScript with Data Visualization</strong></p> <p><strong> Course 10: CompTIA CySA+ Cybersecurity Analyst (CS0-002)</strong></p> <p><strong> Course 11: Electronic Document Management System Step</strong></p> <p><strong>How will I get my Certificate?</strong></p> <p>After successfully completing the course you will be able to order your 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><h2>
        
        <div>CPD</div>
    </h2>

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

                        <div id="who_is_this_course_for">
                             <ul> <li>Anyone trying to get into the IT industry.</li><li>Anyone who wants to better comprehend the role of IT and business analytics.</li><li>Professionals who are looking to optimize business processes.</li></ul> 
                        </div><h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                             <p>This course has been designed to be fully compatible with tablets and smartphones, so you can access your course on Wi-Fi, 3G or 4G.</p> 
                        </div><h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                             <p>This bundle course is a very engaging course and is proven to be beneficial to the many careers</p> 
                        </div><h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Certificate of completion</h4>
        <p>
            Digital certificate -
            Included
        </p>
            <div> <p>Certificate of completion is included in course price.</p> </div>
        <h4>Certificate of completion</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div> <p>You will get the Hard Copy certificate for the title course (<strong>Introduction to Data Analysis</strong>) absolutely Free! Other Hard Copy certificates are available for £10 each. </p> </div>

                        </div>

IT and Data Analytics

<p>Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified<strong> IT and Data Protection (GDPR) Practitioner</strong> bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our <strong>33 </strong>course mega bundle that will exceed your expectations within your budget.</p><p>The<strong> IT and Data Protection (GDPR) Practitioner</strong> related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then <strong>StudyHub </strong>proposes a preparatory bundle. This comprehensive <strong> IT and Data Protection (GDPR) Practitioner</strong> bundle will help you build a solid foundation to become a proficient worker in the sector.</p><p><strong>This IT and Data Protection (GDPR) Practitioner Bundle consists of the following</strong><strong> 30 </strong><strong>CPD Accredited Premium courses - </strong></p><ul><li>Course 1: IT Support Technician</li><li>Course 2: Network Security and Risk Management</li><li>Course 3: CompTIA Network</li><li>Course 4: Information Management</li><li>Course 5: Web Application Penetration Testing Course</li><li>Course 6: CompTIA Cloud+ (CV0-002)</li><li>Course 7: Learn Ethical Hacking with Kali Linux</li><li>Course 8: Computer Operating System and Troubleshooting</li><li>Course 9: Building Your Own Computer Course</li><li>Course 10: It: Ethical Hacking, IT Security and IT Cyber Attacking</li><li>Course 11: SQL Database Administrator</li><li>Course 12: MS Word Essentials - The Complete Word Course - Level 3</li><li>Course 13: Data Protection (GDPR) Practitioner</li><li>Course 14: Website Hacking From Scratch</li><li>Course 15: Diploma in Front-End Web Development (HTML, CSS, &amp; Bootstrap)</li><li>Course 16: Data Science and Visualisation with Machine Learning</li><li>Course 17: SQL For Data Analytics &amp; Database Development</li><li>Course 18: PLC Programming Diploma</li><li>Course 19: Cisco ASA Firewall Training Course</li><li>Course 20: Create Your First Responsive Website</li><li>Course 21: C# (C-Sharp)</li><li>Course 22: Web Design (HTML, CSS, Bootstrap) Complete Course</li><li>Course 23: Python Course</li><li>Course 24: JavaScript</li><li>Course 25: Net MVC and Entity Framework Course</li><li>Course 26: Learn Spring &amp; Angular Material with a Full Web Application</li><li>Course 27: Typescript</li><li>Course 28: U&amp;P AI - Natural Language Processing (NLP) with Python</li><li>Course 29: Ruby on Rails Web Application Framework</li><li>Course 30: SQL Server 101 : Microsoft SQL Server for Absolute Beginners</li></ul><p><strong>3 </strong><strong>Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques-</strong></p><ul><li>Course 1:Career Development Plan Fundamentals</li><li>Course 2:CV Writing and Job Searching</li><li>Course 3:Interview Skills: Ace the Interview</li></ul><p><strong>Learning Outcome</strong></p><p><strong>This tailor-made </strong><strong>IT and Data Protection (GDPR) Practitioner</strong><strong> bundle will allow you to-</strong></p><ul><li>Uncover your skills and aptitudes to break new ground in the related fields</li><li>Deep dive into the fundamental knowledge</li><li>Acquire some hard and soft skills in this area</li><li>Gain some transferable skills to elevate your performance</li><li>Maintain good report with your clients and staff</li><li>Gain necessary office skills and be tech savvy utilising relevant software</li><li>Keep records of your work and make a report</li><li>Know the regulations around this area</li><li>Reinforce your career with specific knowledge of this field</li><li>Know your legal and ethical responsibility as a professional in the related field</li></ul> <p>This IT and Data Protection (GDPR) Practitioner Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments.</p><p><strong>Certification</strong></p><p>After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and <strong>1 hardcopy certificate for the Title Course completely free</strong>. Other Hard Copy certificates need to be ordered at an additional cost of •8.</p> <h2>
        
        <div>CPD</div>
    </h2>

                        <div id="cpd">
                            <div>
                                <div>
                                    <div>
                                        330 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>Ambitious learners who want to strengthen their CV for their desired job should take advantage of the IT and Data Protection (GDPR) Practitioner bundle! This bundle is also ideal for professionals looking for career advancement.</p><ul><li>Certified Information Privacy Manager (CIPM)</li><li>Certified Information Privacy Technologist (CIPT)</li><li>Certified Information Privacy Professional/Europe (CIPP/E)</li></ul>
                        </div> <h2>
        
        <div>Requirements</div>
    </h2>

                        <div id="requirements">
                            <p>To participate in this course, all you need is -</p><ul><li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in IT and Data Protection (GDPR) Practitioner</li></ul>
                        </div> <h2>
        
        <div>Career path</div>
    </h2>

                        <div id="career_path">
                            <p>Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.</p>
                        </div> <h2>
        
        <div>Certificates</div>
    </h2>

                        <div id="optional_extras">
                                    <h4>Quality Licence Scheme Endorsed Certificate of Achievement</h4>
        <p>
            Hard copy certificate -
            Included
        </p>
            <div><p>Upon successful completion of the course, you will be eligible to order QLS Endorsed Hardcopy Certificate titled ' Data Protection (GDPR) Practitioner at QLS Level 3 '</p><p><br />Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses.</p></div>

                        </div>

AWS Certified Cloud Practitioner

Certified in Data Protection (CDP)

Certified Cyber Professional (CCP)

IT, Information Management and Data Protection (GDPR) Practitioner

<p><strong>24 Hour Flash Deal **25-in-1 </strong><strong>Robotics and Automation Engineering </strong><strong>Mega Bundle**</strong></p><p><strong> </strong><strong>Robotics and Automation Engineering </strong><strong>Enrolment Gifts  **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter **</strong></p><p>Take the initial steps toward a successful long-term career by studying the <strong>Robotics and Automation Engineering</strong> package online with <strong>Studyhub </strong>through our online learning platform. The Robotics and Automation Engineering bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass.</p><p>This <strong>Robotics and Automation Engineering </strong>course provides complete 360-degree training on Robotics and Automation Engineering. You'll get not one, not two, not three, but <strong>twenty-five </strong>Robotics and Automation Engineering courses included in this course. Plus Studyhub's signature <strong>Forever Access</strong> is given as always, meaning these Robotics and Automation Engineering courses are yours for as long as you want them once you enrol in this course</p><p><strong>This Robotics and Automation Engineering Bundle consists the following career oriented courses:</strong></p><ul><li>Course 01: Robotics - Sensors</li><li>Course 02: Advanced Arduino for Embedded Systems</li><li>Course 03: Embedded Systems with 8051 Microcontroller</li><li>Course 04: Machine Learning Basics</li><li>Course 05: AutoCAD VBA Programming</li><li>Course 06: Solidworks Foundation Training</li><li>Course 07: 3D Modeling for 3D Printing</li><li>Course 08: AutoCAD Programming using VB.NET with Windows Forms</li><li>Course 09: Intermediate Solidworks Course</li><li>Course 10: Learn PCB Printed Circuit Board</li><li>Course 11: Digital Electric Circuits &amp; Intelligent Electrical Devices</li><li>Course 12: Electronic Device and Circuits Protection Training</li><li>Course 13: Electronic &amp; Electrical Devices Maintenance &amp; Troubleshooting</li><li>Course 14: CNC (Computer Numerical Control) Programming for Machining</li><li>Course 15: Data Center Training Essentials: Mechanical &amp; Cooling</li><li>Course 16: Electricity - Theory and Safety Training</li><li>Course 17: Power Electronics for Electrical Engineering</li><li>Course 18: Electrical Power System and High Voltage Engineering</li><li>Course 19: Electrical Engineering for Electrical Substations</li><li>Course 20: Electric Vehicle Battery Management System</li><li>Course 21: Engine Lubrication Systems Online Course</li><li>Course 22: Manual Handling Training</li><li>Course 23: Mechanical Engineering</li><li>Course 24: MATLAB Simulink for Electrical Power Engineering</li><li>Course 25: Solidworks Drawing Tools Training: Test Preparation</li></ul> <p>The <strong>Robotics and Automation Engineering </strong>course has been prepared by focusing largely on Robotics and Automation Engineering career readiness. It has been designed by our Robotics and Automation Engineering specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners.</p><p>The Robotics and Automation Engineering Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Robotics and Automation Engineering bundle course has been created with <strong>twenty-five </strong>premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field.</p><p>This Robotics and Automation Engineering Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Robotics and Automation Engineering Elementary modules, allowing our students to grasp each lesson quickly.</p><p>The Robotics and Automation Engineering course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc.</p><p><strong>In this exclusive </strong><strong>Robotics and Automation Engineering </strong><strong>bundle, you really hit the jackpot. Here's what you get:</strong></p><ul><li>Step by step Robotics and Automation Engineering lessons</li><li>One to one assistance from Robotics and Automation Engineeringprofessionals if you need it</li><li>Innovative exams to test your knowledge after the Robotics and Automation Engineeringcourse</li><li>24/7 customer support should you encounter any hiccups</li><li>Top-class learning portal</li><li>Unlimited lifetime access to all twenty-five Robotics and Automation Engineering courses</li><li>Digital Certificate, Transcript and student ID are all included in the price</li><li>PDF certificate immediately after passing</li><li>Original copies of your Robotics and Automation Engineering certificate and transcript on the next working day</li><li>Easily learn the Robotics and Automation Engineering skills and knowledge you want from the comfort of your home</li></ul> <h2>
        
        <div>CPD</div>
    </h2>

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

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

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

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

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

                        </div>

Mechatronics

Robotics

Automotive Engineering

Robotics and Automation Engineering - CPD Certified

<p><strong>24 Hour Flash Deal **25-in-1 </strong><strong>Quality Assurance Engineer Diploma </strong><strong>Mega Bundle**</strong></p><p><strong> </strong><strong>Quality Assurance Engineer Diploma </strong><strong>Enrolment Gifts  **FREE PDF Certificate**FREE PDF Transcript ** FREE Exam** FREE Student ID ** Lifetime Access **FREE Enrolment Letter **</strong></p><p>Take the initial steps toward a successful long-term career by studying the <strong>Quality Assurance Engineer Diploma</strong> package online with <strong>Studyhub </strong>through our online learning platform. The Quality Assurance Engineer Diploma bundle can help you improve your CV, wow potential employers, and differentiate yourself from the mass.</p><p>This <strong>Quality Assurance Engineer Diploma </strong>course provides complete 360-degree training on Quality Assurance Engineer Diploma. You'll get not one, not two, not three, but <strong>twenty-five </strong>Quality Assurance Engineer Diploma courses included in this course. Plus Studyhub's signature <strong>Forever Access</strong> is given as always, meaning these Quality Assurance Engineer Diploma courses are yours for as long as you want them once you enrol in this course</p><p><strong>This Quality Assurance Engineer Diploma Bundle consists the following career oriented courses:</strong></p><ul><li>Course 01: Quality Assurance Manager</li><li>Course 02: Product Testing Protocols for Quality Assurance</li><li>Course 03: Quality Management</li><li>Course 04: Agile Project Management Diploma</li><li>Course 05: Python Basic Programming for Absolute Beginners</li><li>Course 06: SQL for Data Science, Data Analytics and Data Visualization</li><li>Course 07: Data Analysis, Automating and Visualisation in Excel</li><li>Course 08: Quality Management and Strategic Training - ISO 9001</li><li>Course 09: Six Sigma Green Belt Diploma</li><li>Course 10: Six Sigma Black Belt - Advance Diploma</li><li>Course 11: CompTIA CySA+ Cybersecurity Analyst Course</li><li>Course 12: Web Application Penetration Testing</li><li>Course 13: Machine Learning Basics</li><li>Course 14: Process Mapping</li><li>Course 15: RCA: Root Cause Analysis</li><li>Course 16: IT Administration and Networking</li><li>Course 17: CompTIA Security+</li><li>Course 18: CompTIA Cloud+ (CV0-002)</li><li>Course 19: CompTIA Network</li><li>Course 20: Diploma in CompTIA A+</li><li>Course 21: Statistical Analysis Course</li><li>Course 22: Business Intelligence and Data Mining</li><li>Course 23: Cyber Security Advanced Training</li><li>Course 24: Data Analytics with Tableau</li><li>Course 25: Excel: Top 50 Microsoft Excel Formulas in 50 Minutes!</li></ul> <p>The <strong>Quality Assurance Engineer Diploma </strong>course has been prepared by focusing largely on Quality Assurance Engineer Diploma career readiness. It has been designed by our Quality Assurance Engineer Diploma specialists in a manner that you will be likely to find yourself head and shoulders above the others. For better learning, one to one assistance will also be provided if it's required by any learners.</p><p>The Quality Assurance Engineer Diploma Bundle is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Quality Assurance Engineer Diploma bundle course has been created with <strong>twenty-five </strong>premium courses to provide our learners with the best learning experience possible to increase their understanding of their chosen field.</p><p>This Quality Assurance Engineer Diploma Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into Quality Assurance Engineer Diploma Elementary modules, allowing our students to grasp each lesson quickly.</p><p>The Quality Assurance Engineer Diploma course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc.</p><p><strong>In this exclusive </strong><strong>Quality Assurance Engineer Diploma </strong><strong>bundle, you really hit the jackpot. Here's what you get:</strong></p><ul><li>Step by step Quality Assurance Engineer Diploma lessons</li><li>One to one assistance from Quality Assurance Engineer Diplomaprofessionals if you need it</li><li>Innovative exams to test your knowledge after the Quality Assurance Engineer Diplomacourse</li><li>24/7 customer support should you encounter any hiccups</li><li>Top-class learning portal</li><li>Unlimited lifetime access to all twenty-five Quality Assurance Engineer Diploma courses</li><li>Digital Certificate, Transcript and student ID are all included in the price</li><li>PDF certificate immediately after passing</li><li>Original copies of your Quality Assurance Engineer Diploma certificate and transcript on the next working day</li><li>Easily learn the Quality Assurance Engineer Diploma skills and knowledge you want from the comfort of your home</li></ul> <h2>
        
        <div>CPD</div>
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                                        250 CPD hours / points
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                                            Accredited by CPD Quality Standards
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        <div>Who is this course for?</div>
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                            <p>This <strong>Quality Assurance Engineer Diploma </strong>training is suitable for -</p><ul><li>Students</li><li>Recent graduates</li><li>Job Seekers</li><li>Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Quality Assurance Engineer Diploma</li></ul>
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        <div>Requirements</div>
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                            <p>To participate in this <strong>Quality Assurance Engineer Diploma </strong>course, all you need is -</p><ul><li>A smart device</li><li>A secure internet connection</li><li>And a keen interest in Quality Assurance Engineer Diploma</li></ul>
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        <div>Career path</div>
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                        <div id="career_path">
                            <p>You will be able to kickstart your <strong>Quality Assurance Engineer Diploma </strong>career because this course includes various courses as a bonus. This Quality Assurance Engineer Diploma is an excellent opportunity for you to learn multiple skills from the convenience of your own home and explore Quality Assurance Engineer Diploma career opportunities.</p>
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        <div>Certificates</div>
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                                    <h4>CPD Accredited Certificate</h4>
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            Digital certificate -
            Included
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            <div><ul><li>CPD Accredited e-Certificate - Free</li><li>CPD Accredited Hardcopy Certificate - Free</li><li>Enrolment Letter - Free</li><li>Student ID Card - Free</li></ul></div>

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Quality Assurance (QA)

Quality Assurance

Certified Manager of Quality

Quality Auditor

Diploma in Professional Studies (DPS)

Quality Assurance Engineer Diploma - CPD Certified

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

Nexus Human

Data Engineering

Microsoft AZ-900

Microsoft Azure

Microsoft AZ-303

Microsoft AZ-700

Azure Machine Learning

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

Data Science

Welcome to the Bootcamp course. You will obtain a firm understanding of machine learning with this course. By doing so, you will be able to develop machine learning solutions for various challenges you might encounter and be prepared to start using machine learning at work or in technical interviews.

Python Machine Learning Bootcamp

Go from Beginner to Super Advance Level in Machine Learning Algorithms using Python and Mathematical Insights

Machine Learning with Real World Projects

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					<div><p><span>Machine learning as a programming technique has shaped the future of technology. In this course, you will learn how to build intelligent handwriting recognition apps from scratch using Python and Core ML.</span></p><p><span>The </span><b>Machine Learning for Apps Level 4 </b><span>course will teach you how to take advantage of machine learning to code like a pro and build incredible apps that can make predictions. Designed by industry experts, it covers best practices for managing projects, core concepts for creating your own ML model, building a convolutional neural network, and much more.</span></p><p><span>On successful completion, you will be able to build an amazing handwriting recognition app and convolutional neural network from scratch, and have an in-depth understanding of the core ML basics. This course is ideal for those with a basic understanding of iOS development.</span></p></div>
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					<div><p>This best selling <strong>Machine Learning for Apps Level 4 </strong>has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth <strong>Machine Learning for Apps Level 4 </strong>is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The <strong>Machine Learning for Apps Level 4 </strong>is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The <strong>Machine Learning for Apps Level 4 </strong>is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the<strong> Machine Learning for Apps Level 4</strong>, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the <strong>Machine Learning for Apps Level 4 </strong>will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the <strong>Machine Learning for Apps Level 4 </strong>to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Course Cloud

Machine Learning (ML)

Machine Learning for Apps Level 4

<strong>The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.</strong>
        <p>Machine learning is a field of computer science through which you can create complex models that perform multiple functions using mathematical input. Python is a popular choice to create machine learning models due to a plethora of libraries easily accessible. This course takes you through this impressive combination of Python and machine learning, teaching you the basics of machine learning to create your own projects.

You'll begin learning about different types of machine learning models and how to choose the relevant ones for your project. You'll learn to optimize this model and apply performance metrics to track its performance. You'll also learn topics like regression, classification, and clustering to improve the performance of your model. You'll learn the basics of neural networks and use scikit-learn to perform calculations in your project.

By the end of this course, you'll have created a face recognition application using everything you've learned in this course.

The code bundle for this course is available at https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners</p>
        <h2>What You Will Learn</h2><p>Train different types of machine learning models for your project<br>Prepare and clean data for your project<br>Optimize your machine learning model to best suit your project needs<br>Build your own machine learning model from scratch<br>Apply performance metrics to track the performance of your model<br>Use scikit-learn to perform calculations in your project</p>
        <h2>Audience</h2><p>This course is for Python developers who are new in the field of machine learning. No prior knowledge or experience of machine learning is required. A basic understanding of Python programming will be needed here.</p>
        <h2>Approach</h2><p>This is a hands-on course that takes you through all the machine learning concepts step-by-step while showing you real-world applications for each step.</p>
        <h2>Key Features</h2><p>Build a face recognition application from scratch * Prepare and train your data for your projects * Learn real-world applications of your algorithms</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Python-Machine-Learning-Crash-Course-for-Beginners</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. Introduction to the Course</h4><p></p><br><h4>2. Why Machine Learning</h4><p></p><br><h4>3. Process of Learning from Data</h4><p></p><br><h4>4. Machine Learning Methods</h4><p></p><br><h4>5. Data Preparation and Preprocessing</h4><p></p><br><h4>6. Machine Learning Models and Optimization</h4><p></p><br><h4>7. Building Machine Learning Model from Scratch</h4><p></p><br><h4>8. Overfitting, Underfitting and Generalization</h4><p></p><br><h4>9. Machine Learning Model Performance Metrics</h4><p></p><br><h4>10. Dimensionality Reduction</h4><p></p><br><h4>11. Deep Learning Overview</h4><p></p><br><h4>12. Hands-on Machine Learning Project Using Scikit-Learn</h4><p></p><br><h4>13. OPTIONAL Section- Mathematics Wrap-up</h4><p></p>

The goal of this course is to use Python machine learning to create algorithms that you can use in the real world. You'll start with the basics of machine learning. You'll learn how to create, train, and optimize models and use these models in real-world applications.

Python Machine Learning Crash Course for Beginners

<strong>Begin your machine learning journey by learning all about linear regression, logistic regression, and cluster analysis</strong>
        <p>Machine Learning is one of the fundamental skills you need to become a data scientist. It's the steppingstone that will help you understand deep learning and modern data analysis techniques. 

In this course, you'll explore the three fundamental machine learning topics - linear regression, logistic regression, and cluster analysis. Even neural networks geeks (like us) can't help but admit that it's these three simple methods that data science revolves around. So, in this course, we will make the otherwise complex subject matter easy to understand and apply in practice. This course supports statistics theory with practical application of these quantitative methods in Python to help you develop skills in the context of data science. 

We've developed this course with not one but two machine learning libraries: StatsModels and sklearn. You'll be eager to complete this course and get ready to become a successful data scientist! 

All the code and supporting files for this course are available at https://github.com/PacktPublishing/Machine-Learning-101-with-Scikit-learn-and-StatsModels</p>
        <h2>What You Will Learn</h2><p>Confidently work with two of the leading ML packages: statsmodels and sklearn <br>Understand how to perform a linear regression <br>Become familiar with the ins and outs of logistic regression <br>Get to grips with carrying out cluster analysis (both flat and hierarchical) <br>Apply your skills to real-life business cases <br>Get insights into the underlying ideas behind ML models</p>
        <h2>Audience</h2><p>If you want to get acquainted with fundamental machine learning methods, become a successful data scientist, or just get started with building valuable skills in machine learning and data science, this course is for you.</p>
        <h2>Approach</h2><p>The course has a perfect blend of theory and practical knowledge to help you gain a solid understand of the concepts covered.</p>
        <h2>Key Features</h2><p>Learn machine learning with StatsModels and sklearn  * Apply machine learning skills to solve real-world business cases  * Get started with linear regression, logistic regression, and cluster analysis</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/machine-learning-101-with-scikit-learn-and-statsmodels</p>
        <h2>About the Author</h2><h3>365 Careers Ltd.</h3><p>365 Careers' courses have been taken by more than 203,000 students in 204 countries. People working at world-class firms such as Apple, PayPal, and Citibank have completed 365 Careers trainings. By choosing 365 Careers, you make sure you will learn from proven experts who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.

If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers' courses are the perfect place to start.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><br><h4>2. Setting Up the Working Environment</h4><p></p><br><h4>3. Linear Regression with StatsModels</h4><p></p><br><h4>4. Linear Regression with Sklearn</h4><p></p><br><h4>5. Linear Regression - Practical Example</h4><p></p><br><h4>6. Logistic Regression</h4><p></p><br><h4>7. Cluster Analysis</h4><p></p><br><h4>8. Cluster Analysis: Additional Topics</h4><p></p>

Begin your machine learning journey by learning all about linear regression, logistic regression, and cluster analysis

Machine Learning 101 with Scikit-learn and StatsModels

<strong>In this course, you will learn Python fundamentals, and the concepts of the amazing pandas data science library needed to pre-process and prepare the data for machine learning algorithms.</strong>
        <p>Machine learning is one of the most exciting fields in the hi-tech industry, gaining momentum in various applications. Companies are looking for data scientists, data engineers, and machine language (ML) experts to develop products, features, and projects that will help them unleash the power of machine learning. This course will show you how to prepare data for machine learning algorithms using Python and pandas library.

The course starts by explaining the installation process of Anaconda and Jupyter. Once you are ready with the setup, you will understand Python fundamentals, such as variables, data types, conditional statements, loops, and modules. Next, you will go through the pandas library and learn how to use it for loading real-world large datasets. Towards the end, you will learn the steps and techniques to clean data and make it ready to move into machine learning algorithms.

By the end of this course, you will be well-versed with Python fundamentals and pandas library and will be ready to take on data science projects.

The code bundle for this course is available at https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners-Level-2</p>
        <h2>What You Will Learn</h2><p>Understand how to use Jupyter Lab for Jupyter notebooks<br>Learn Python fundamentals<br>Load large datasets from files using pandas<br>Uncover techniques to perform data analysis and exploration<br>Group, sort, export, select, filter, and clean data<br>Find out how to preview the data frame</p>
        <h2>Audience</h2><p>This course is designed for beginners looking to understand the theoretical side of machine learning and to enter the practical side of data science. You will understand the fundamentals of Python and learn how to pre-process data before using it in machine learning algorithms. There are no prerequisites for taking up this course; however, it is recommended to finish with the Machine Learning for Absolute Beginners - Level 1 course.</p>
        <h2>Approach</h2><p>With the help of exercises and activities, this course will show you how to use Python and pandas library for cleaning data before moving it into machine learning algorithms.</p>
        <h2>Key Features</h2><p>Learn how to use Python for data science and machine learning projects * Understand the interface of Jupyter lab tool * Discover how to get data ready for machine learning algorithms</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners-Level-2 </p>
        <h2>About the Author</h2><h3>Idan Gabrieli</h3><p>Idan Gabrieli has worked in various engineering positions in Israel's high-tech industry. Idan has gained extensive experience with hundreds of business companies, transforming their challenges and opportunities into practical use cases and leveraging cutting-edge technologies.

Idan's expertise spans multiple domains, including cloud computing, machine learning, data science, and electronics. Since 2014, Idan has created and published online courses on various topics worldwide. Idan is recognized as a high-rated instructor by leading educational providers.

Idan simplifies complex technology and provides high-quality educational content with specific learning objectives that are well-structured, combining various multimedia teaching options.</p>
        <h2>Course Outline</h2><h4>1. Getting Started with Level 2!</h4><p></p><br><h4>2. Python Fundamentals for Data Science</h4><p></p><br><h4>3. Introduction to the Pandas Library</h4><p></p><br><h4>4. Loading Data into a DataFrame</h4><p></p><br><h4>5. Data Cleaning and Transformation</h4><p></p><br><h4>6. Course Summary</h4><p></p>

In this course, you will learn Python fundamentals, and the concepts of the amazing pandas data science library needed to pre-process and prepare the data for machine learning algorithms.

Machine Learning for Absolute Beginners - Level 2

<strong>Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning &amp; More!</strong>
        <p>Do you ever want to be a data scientist and build Machine Learning projects that can solve real-life problems? If yes, then this course is perfect for you.
You will train machine learning algorithms to classify flowers, predict house price, identify handwritings or digits, identify staff that is most likely to leave prematurely, detect cancer cells and much more!
Inside the course, you'll learn how to:
&bull;	Set up a Python development environment correctly
&bull;	Gain complete machine learning toolsets to tackle most real-world problems
&bull;	Understand the various regression, classification and other ml algorithms performance metrics such as R-squared, MSE, accuracy, confusion matrix, prevision, recall, etc. and when to use them.
&bull;	Combine multiple models with by bagging, boosting or stacking
&bull;	Make use to unsupervised Machine Learning (ML) algorithms such as Hierarchical clustering, k-means clustering etc. to understand your data
&bull;	Develop in Jupyter (IPython) notebook, Spyder and various IDE
&bull;	Communicate visually and effectively with Matplotlib and Seaborn
&bull;	Engineer new features to improve algorithm predictions
&bull;	Make use of train/test, K-fold and Stratified K-fold cross-validation to select the correct model and predict model perform with unseen data
&bull;	Use SVM for handwriting recognition, and classification problems in general
&bull;	Use decision trees to predict staff attrition
&bull;	Apply the association rule to retail shopping datasets
&bull;	And much more!
By the end of this course, you will have a Portfolio of 12 Machine Learning projects that will help you land your dream job or enable you to solve real-life problems in your business, job or personal life with Machine Learning algorithms.</p>
        <h2>What You Will Learn</h2><p>&bull;&nbsp;&nbsp;Learn to Build Powerful Machine Learning Models to Solve Any Problem<br>&bull;&nbsp;&nbsp;Learn to Train machine learning algorithms to predict house prices, identify handwriting, detect cancer cells &amp; more</p>
        <h2>Audience</h2><p>A newbie who wants to learn machine learning algorithm with Python. Anyone who has a deep interest in the practical application of machine learning to real world problems. Anyone wishes to move beyond the basics and develop an understanding of the whole range of machine learning algorithms. Any intermediate to advanced EXCEL users who is unable to work with large datasets. Anyone interested to present their findings in a professional and convincing manner. Anyone who wishes to start or transit into a career as a data scientist. Anyone who wants to apply machine learning to their domain.</p>
        <h2>Approach</h2><p>You'll go from beginner to extremely high-level and your instructor will build each algorithm with you step by step on screen.</p>
        <h2>Key Features</h2><p>&bull;&nbsp;&nbsp;Solve any problem in your business or job with powerful Machine Learning models * &bull;&nbsp;&nbsp;Go from zero to hero in Python, Seaborn, Matplotlib, Scikit-Learn, SVM, and unsupervised Machine Learning etc.</p>
        <h2>Github Repo</h2><p>https://github.com/packtpublishing/the-complete-machine-learning-course-with-python</p>
        <h2>About the Author</h2><h3>Anthony Ng</h3><p>Anthony Ng has spent almost 10 years in the education sector covering topics such as algorithmic trading, financial data analytics, investment, and portfolio management and more. He has worked in various financial institutions and has assisted Quantopian to conduct Algorithmic Trading Workshops in Singapore since 2016. He has also presented in QuantCon Singapore 2016 and 2017. He is passionate about finance, data science and Python and enjoys researching, teaching and sharing knowledge. He holds a Master of Science in Financial Engineering from NUS Singapore and MBA and Bcom from Otago University.</p>
        <h2>Course Outline</h2><h4>1. Introduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. What Does the Course Cover?</p><p style='margin: 0'>Introduction: What Does the Course Cover?</p></td></tr></tbody></table><br><h4>2. Getting Started with Anaconda</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. [Windows OS] Downloading & Installing Anaconda</p><p style='margin: 0'>Getting Started with Anaconda: [Windows OS] Downloading &amp; Installing Anaconda</p></td></tr><tr><td style='padding: 15px;'><p>2. [Windows OS] Managing Environment</p><p style='margin: 0'>Getting Started with Anaconda: [Windows OS] Managing Environment</p></td></tr><tr><td style='padding: 15px;'><p>3. Navigating the Spyder & Jupyter Notebook Interface</p><p style='margin: 0'>Getting Started with Anaconda: Navigating the Spyder &amp; Jupyter Notebook Interface</p></td></tr><tr><td style='padding: 15px;'><p>4. Downloading the IRIS Datasets</p><p style='margin: 0'>Getting Started with Anaconda: Downloading the IRIS Datasets</p></td></tr><tr><td style='padding: 15px;'><p>5. Data Exploration and Analysis</p><p style='margin: 0'>Getting Started with Anaconda: Data Exploration and Analysis</p></td></tr><tr><td style='padding: 15px;'><p>6. Presenting Your Data</p><p style='margin: 0'>Getting Started with Anaconda: Presenting Your Data</p></td></tr></tbody></table><br><h4>3. Regression</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Regression: Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. Categories of Machine Learning</p><p style='margin: 0'>Regression: Categories of Machine Learning</p></td></tr><tr><td style='padding: 15px;'><p>3. Working with Scikit-Learn</p><p style='margin: 0'>Regression: Working with Scikit-Learn</p></td></tr><tr><td style='padding: 15px;'><p>4. Boston Housing Data - EDA</p><p style='margin: 0'>Regression: Boston Housing Data - EDA</p></td></tr><tr><td style='padding: 15px;'><p>5. Correlation Analysis and Feature Selection</p><p style='margin: 0'>Regression: Correlation Analysis and Feature Selection</p></td></tr><tr><td style='padding: 15px;'><p>6. Simple Linear Regression Modelling with Boston Housing Data</p><p style='margin: 0'>Regression: Simple Linear Regression Modelling with Boston Housing Data</p></td></tr><tr><td style='padding: 15px;'><p>7. Robust Regression</p><p style='margin: 0'>Regression: Robust Regression</p></td></tr><tr><td style='padding: 15px;'><p>8. Evaluate Model Performance</p><p style='margin: 0'>Regression: Evaluate Model Performance</p></td></tr><tr><td style='padding: 15px;'><p>9. Multiple Regression with statsmodel</p><p style='margin: 0'>Regression: Multiple Regression with statsmodel</p></td></tr><tr><td style='padding: 15px;'><p>10. Multiple Regression and Feature Importance</p><p style='margin: 0'>Regression: Multiple Regression and Feature Importance</p></td></tr><tr><td style='padding: 15px;'><p>11. Ordinary Least Square Regression and Gradient Descent</p><p style='margin: 0'>Regression: Ordinary Least Square Regression and Gradient Descent</p></td></tr><tr><td style='padding: 15px;'><p>12. Regularised Method for Regression</p><p style='margin: 0'>Regression: Regularised Method for Regression</p></td></tr><tr><td style='padding: 15px;'><p>13. Polynomial Regression</p><p style='margin: 0'>Regression: Polynomial Regression</p></td></tr><tr><td style='padding: 15px;'><p>14. Dealing with Non-linear relationships</p><p style='margin: 0'>Regression: Dealing with Non-linear relationships</p></td></tr><tr><td style='padding: 15px;'><p>15. Feature Importance Revisited</p><p style='margin: 0'>Regression: Feature Importance Revisited</p></td></tr><tr><td style='padding: 15px;'><p>16. Data Pre-Processing 1</p><p style='margin: 0'>Regression: Data Pre-Processing 1</p></td></tr><tr><td style='padding: 15px;'><p>17. Data Pre-Processing 2</p><p style='margin: 0'>Regression: Data Pre-Processing 2</p></td></tr><tr><td style='padding: 15px;'><p>18. Variance Bias Trade Off - Validation Curve</p><p style='margin: 0'>Regression: Variance Bias Trade Off - Validation Curve</p></td></tr><tr><td style='padding: 15px;'><p>19. Variance Bias Trade Off - Learning Curve</p><p style='margin: 0'>Regression: Variance Bias Trade Off - Learning Curve</p></td></tr><tr><td style='padding: 15px;'><p>20. Cross Validation</p><p style='margin: 0'>Regression: Cross Validation</p></td></tr></tbody></table><br><h4>4. Classification</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Classification: Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. Logistic Regression 1</p><p style='margin: 0'>Classification: Logistic Regression 1</p></td></tr><tr><td style='padding: 15px;'><p>3. Logistic Regression 2</p><p style='margin: 0'>Classification: Logistic Regression 2</p></td></tr><tr><td style='padding: 15px;'><p>4. MNIST Project 1 - Introduction</p><p style='margin: 0'>Classification: MNIST Project 1 - Introduction</p></td></tr><tr><td style='padding: 15px;'><p>5. MNIST Project 2 - SGDClassifiers</p><p style='margin: 0'>Classification: MNIST Project 2 - SGDClassifier</p></td></tr><tr><td style='padding: 15px;'><p>6. MNIST Project 3 - Performance Measures</p><p style='margin: 0'>Classification: MNIST Project 3 - Performance Measures</p></td></tr><tr><td style='padding: 15px;'><p>7. MNIST Project 4 - Confusion Matrix, Precision, Recall and F1 Score</p><p style='margin: 0'>Classification: MNIST Project 4 - Confusion Matrix, Precision, Recall and F1 Score</p></td></tr><tr><td style='padding: 15px;'><p>8. MNIST Project 5 - Precision and Recall Tradeoff</p><p style='margin: 0'>Classification: MNIST Project 5 - Precision and Recall Tradeoff</p></td></tr><tr><td style='padding: 15px;'><p>9. MNIST Project 6 - The ROC Curve</p><p style='margin: 0'>Classification: MNIST Project 6 - The ROC Curve</p></td></tr></tbody></table><br><h4>5. Support Vector Machine (SVM)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Support Vector Machine (SVM): Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. Support Vector Machine (SVM) Concepts</p><p style='margin: 0'>Support Vector Machine (SVM): Support Vector Machine (SVM) Concepts</p></td></tr><tr><td style='padding: 15px;'><p>3. Linear SVM Classification</p><p style='margin: 0'>Support Vector Machine (SVM): Linear SVM Classification</p></td></tr><tr><td style='padding: 15px;'><p>4. Polynomial Kernel</p><p style='margin: 0'>Support Vector Machine (SVM): Polynomial Kernel</p></td></tr><tr><td style='padding: 15px;'><p>5. Gaussian Radial Basis Function</p><p style='margin: 0'>Support Vector Machine (SVM): Gaussian Radial Basis Function</p></td></tr><tr><td style='padding: 15px;'><p>6. Support Vector Regression</p><p style='margin: 0'>Support Vector Machine (SVM): Support Vector Regression</p></td></tr><tr><td style='padding: 15px;'><p>7. Advantages and Disadvantages of SVM</p><p style='margin: 0'>Support Vector Machine (SVM): Advantages and Disadvantages of SVM</p></td></tr></tbody></table><br><h4>6. Tree</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Tree: Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. What is Decision Tree</p><p style='margin: 0'>Tree: What is Decision Tree</p></td></tr><tr><td style='padding: 15px;'><p>3. Training a Decision Tree</p><p style='margin: 0'>Tree: Training a Decision Tree</p></td></tr><tr><td style='padding: 15px;'><p>4. Visualising a Decision Trees</p><p style='margin: 0'>Tree: Visualising a Decision Trees</p></td></tr><tr><td style='padding: 15px;'><p>5. Decision Tree Learning Algorithm</p><p style='margin: 0'>Tree: Decision Tree Learning Algorithm</p></td></tr><tr><td style='padding: 15px;'><p>6. Decision Tree Regression</p><p style='margin: 0'>Tree: Decision Tree Regression</p></td></tr><tr><td style='padding: 15px;'><p>7. Overfitting and Grid Search</p><p style='margin: 0'>Tree: Overfitting and Grid Search</p></td></tr><tr><td style='padding: 15px;'><p>8. Where to From Here</p><p style='margin: 0'>Tree: Where to From Here</p></td></tr><tr><td style='padding: 15px;'><p>9. Project HR - Loading and preprocesing data</p><p style='margin: 0'>Tree: Project HR - Loading and preprocesing data</p></td></tr><tr><td style='padding: 15px;'><p>10. Project HR - Modelling</p><p style='margin: 0'>Tree: Project HR - Modelling</p></td></tr></tbody></table><br><h4>7. Ensemble Machine Learning</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Ensemble Machine Learning: Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. Ensemble Learning Methods Introduction</p><p style='margin: 0'>Ensemble Machine Learning: Ensemble Learning Methods Introduction</p></td></tr><tr><td style='padding: 15px;'><p>3. Bagging Part 1</p><p style='margin: 0'>Ensemble Machine Learning: Bagging Part 1</p></td></tr><tr><td style='padding: 15px;'><p>4. Bagging Part 2</p><p style='margin: 0'>Ensemble Machine Learning: Bagging Part 2</p></td></tr><tr><td style='padding: 15px;'><p>5. Random Forests</p><p style='margin: 0'>Ensemble Machine Learning: Random Forests</p></td></tr><tr><td style='padding: 15px;'><p>6. Extra-Trees</p><p style='margin: 0'>Ensemble Machine Learning: Extra-Trees</p></td></tr><tr><td style='padding: 15px;'><p>7. AdaBoost</p><p style='margin: 0'>Ensemble Machine Learning: Decision Tree Regression</p></td></tr><tr><td style='padding: 15px;'><p>8. Gradient Boosting Machine</p><p style='margin: 0'>Ensemble Machine Learning: Gradient Boosting Machine</p></td></tr><tr><td style='padding: 15px;'><p>9. XGBoost</p><p style='margin: 0'>Ensemble Machine Learning: XGBoost</p></td></tr><tr><td style='padding: 15px;'><p>10. Project HR - Human Resources Analytics</p><p style='margin: 0'>Ensemble Machine Learning: Project HR - Human Resources Analytics</p></td></tr><tr><td style='padding: 15px;'><p>11. Ensemble of ensembles Part 1</p><p style='margin: 0'>Ensemble Machine Learning: Ensemble of ensembles Part 1</p></td></tr><tr><td style='padding: 15px;'><p>12. Ensemble of ensembles Part 2</p><p style='margin: 0'>Ensemble Machine Learning: Ensemble of ensembles Part 2</p></td></tr></tbody></table><br><h4>8. k-Nearest Neighbours (kNN)</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. kNN Introduction</p><p style='margin: 0'>K-Nearest Neighbours (kNN): kNN Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. kNN Concepts</p><p style='margin: 0'>K-Nearest Neighbours (kNN): kNN Concepts</p></td></tr><tr><td style='padding: 15px;'><p>3. kNN and Iris Dataset Demo</p><p style='margin: 0'>K-Nearest Neighbours (kNN): kNN and Iris Dataset Demo</p></td></tr><tr><td style='padding: 15px;'><p>4. Distance Metric</p><p style='margin: 0'>K-Nearest Neighbours (kNN): Distance Metric</p></td></tr><tr><td style='padding: 15px;'><p>5. Project Cancer Detection Part 1</p><p style='margin: 0'>K-Nearest Neighbours (kNN): Project Cancer Detection Part 1</p></td></tr><tr><td style='padding: 15px;'><p>6. Project Cancer Detection Part 2</p><p style='margin: 0'>K-Nearest Neighbours (kNN): Project Cancer Detection Part 2</p></td></tr></tbody></table><br><h4>9. Dimensionality Reduction</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Dimensionality Reduction: Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. Dimensionality Reduction Concept</p><p style='margin: 0'>Dimensionality Reduction: Dimensionality Reduction Concept</p></td></tr><tr><td style='padding: 15px;'><p>3. PCA Introduction</p><p style='margin: 0'>Dimensionality Reduction: PCA Introduction</p></td></tr><tr><td style='padding: 15px;'><p>4. Dimensionality Reduction Demo</p><p style='margin: 0'>Dimensionality Reduction: Dimensionality Reduction Demo</p></td></tr><tr><td style='padding: 15px;'><p>5. Project Wine 1: Dimensionality Reduction with PCA</p><p style='margin: 0'>Dimensionality Reduction: Project Wine 1: Dimensionality Reduction with PCA</p></td></tr><tr><td style='padding: 15px;'><p>6. Project Wine 2: Choosing the Number of Components</p><p style='margin: 0'>Dimensionality Reduction: Project Wine 2: Choosing the Number of Components</p></td></tr><tr><td style='padding: 15px;'><p>7. Kernel PCA</p><p style='margin: 0'>Dimensionality Reduction: Kernel PCA</p></td></tr><tr><td style='padding: 15px;'><p>8. Kernel PCA Demo</p><p style='margin: 0'>Dimensionality Reduction: Kernel PCA Demo</p></td></tr><tr><td style='padding: 15px;'><p>9. LDA & Comparison between LDA and PCA</p><p style='margin: 0'>Dimensionality Reduction: LDA &amp; Comparison between LDA and PCA</p></td></tr></tbody></table><br><h4>10. Unsupervised Learning: Clustering</h4><p></p><table width='100%'><tbody><tr><td style='padding: 15px;'><p>1. Introduction</p><p style='margin: 0'>Unsupervised Learning: Clustering: Introduction</p></td></tr><tr><td style='padding: 15px;'><p>2. Clustering Concepts</p><p style='margin: 0'>Unsupervised Learning: Clustering: Clustering Concepts</p></td></tr><tr><td style='padding: 15px;'><p>3. MLextend</p><p style='margin: 0'>Unsupervised Learning: Clustering: MLextend</p></td></tr><tr><td style='padding: 15px;'><p>4. Ward's Agglomerative Hierarchical Clustering</p><p style='margin: 0'>Unsupervised Learning: Clustering: Ward's Agglomerative Hierarchical Clustering</p></td></tr><tr><td style='padding: 15px;'><p>5. Truncating Dendrogram</p><p style='margin: 0'>Unsupervised Learning: Clustering: Truncating Dendrogram</p></td></tr><tr><td style='padding: 15px;'><p>6. k-Means Clustering</p><p style='margin: 0'>Unsupervised Learning: Clustering: k-Means Clustering</p></td></tr><tr><td style='padding: 15px;'><p>7. Elbow Method</p><p style='margin: 0'>Unsupervised Learning: Clustering: Elbow Method</p></td></tr><tr><td style='padding: 15px;'><p>8. Silhouette Analysis</p><p style='margin: 0'>Unsupervised Learning: Clustering: Silhouette Analysis</p></td></tr><tr><td style='padding: 15px;'><p>9. Mean Shift</p><p style='margin: 0'>Unsupervised Learning: Clustering: Mean Shift</p></td></tr></tbody></table>

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning &amp; More!

The Complete Machine Learning Course with Python

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					<div><p>The comprehensive Machine Learning - Use in Flutter has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Machine Learning - Use in Flutter today, and learn from the very best the industry has to offer!</p></div>
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					<div><p>This best selling Machine Learning - Use in Flutter has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Machine Learning - Use in Flutter is suitable for anyone who wants to build their professional skill set and improve their expert knowledge.</p><p>The Machine Learning - Use in Flutter is CPD-accredited, so you can be confident you're completing a quality training course which will boost your CV and enhance your career potential. The Machine Learning - Use in Flutter is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn.</p><p>After successfully completing the Machine Learning - Use in Flutter, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Machine Learning - Use in Flutter will help you stand out from the crowd. You can also validate your certification on our website.</p><p>We know that you are busy and that time is precious, so we have designed the Machine Learning - Use in Flutter to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. </p><p>Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.</p></div>
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Learning & Development

Learning To Learn

Machine Learning - Use in Flutter

<strong>This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.</strong>
        <p>Instead of using hard-coded rules for performing something, artificial intelligence (AI) and machine learning (ML) prepare the machines to learn things from data to decipher the complex patterns automatically and then use it for building multiple use cases. If you too want to make applications and solve complex problems using AI and ML, then this course will help you to get started with the basics.

The course starts by highlighting the learning objectives and explains the rise of AI in today's world. Next, you will be introduced to the concepts of ML. You will learn to understand ML terminologies and learn how to train a model. Towards the end, you will become familiar with the classification of ML systems, including the topics of supervised and unsupervised learning, regression, clustering, and reinforcement.

By the end of this course, you will have a fundamental knowledge of AI and ML.

All the resource for this course are available at https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-1</p>
        <h2>What You Will Learn</h2><p>Find out why machine learning (ML) is called a black box<br>Get to grips with the features and labels of ML<br>Uncover techniques for training ML models<br>Find out the differences between supervised and unsupervised learning<br>Understand regression, clustering, and dimension reduction</p>
        <h2>Audience</h2><p>If you are a developer, product or project manager, engineer, or a data science enthusiast, who is looking to learn the fundamentals of artificial intelligence (AI) and machine learning (ML), this course is for you. There is no prerequisite to start this course as it is specially designed for absolute beginners.</p>
        <h2>Approach</h2><p>With the help of simple narration, interesting examples, and practical tips, this course helps you to get started with artificial intelligence (AI) and machine learning (ML).</p>
        <h2>Key Features</h2><p>Learn the basics of artificial intelligence (AI), machine learning (ML), and deep learning * Find out how ML helps in training a model * Discover how ML systems are classified</p>
        <h2>Github Repo</h2><p>https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-1</p>
        <h2>About the Author</h2><h3>Idan Gabrieli</h3><p>Idan Gabrieli has worked in various engineering positions in Israel's high-tech industry. Idan has gained extensive experience with hundreds of business companies, transforming their challenges and opportunities into practical use cases and leveraging cutting-edge technologies.

Idan's expertise spans multiple domains, including cloud computing, machine learning, data science, and electronics. Since 2014, Idan has created and published online courses on various topics worldwide. Idan is recognized as a high-rated instructor by leading educational providers.

Idan simplifies complex technology and provides high-quality educational content with specific learning objectives that are well-structured, combining various multimedia teaching options.</p>
        <h2>Course Outline</h2><h4>1. Getting Started with Level 1!</h4><p></p><br><h4>2. The Rise of Artificial Intelligence</h4><p></p><br><h4>3. Introduction to Machine Learning</h4><p></p><br><h4>4. Classification of ML Systems</h4><p></p><br><h4>5. Course Summary</h4><p></p>

This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.

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