2306 Developer courses in Birmingham delivered Online

***24 Hour Limited Time Flash Sale*** JavaScript Admission Gifts FREE PDF & Hard Copy Certificate| PDF Transcripts| FREE Student ID| Assessment| Lifetime Access| Enrolment Letter Are you a professional feeling stuck in your career, struggling to keep up with the ever-changing demands of the industry? Or perhaps you're a beginner, unsure of where to start or how to break into your desired field. Whichever stage you're in, our exclusive JavaScript Application Programming Bundle provides unique insights and tools that can help you achieve your goals. Designed to cater to the needs of both seasoned professionals and aspiring newcomers, our JavaScript Application Programming bundle is a comprehensive program that will equip you with the essential skills and knowledge you need to succeed. Whether you're looking to advance in your current role or embark on a new career journey, this bundle has everything you need to take your professional life to the next level. But that's not all. When you enrol in JavaScript Application Programming Online Training, you'll receive 25 CPD-Accredited PDF Certificates, Hard Copy Certificates, and our exclusive student ID card, all absolutely free. Courses Are Included In this JavaScript Application Programming Career Bundle: Course 01: JavaScript Foundations for Everyone Course 02: JavaScript Basics Course 03: JavaScript Functions Course 04: JavaScript Promises Course 05: Java Certification Cryptography Architecture Course 06: Learn DOM Manipulation with JavaScript Course 07: jQuery: JavaScript and AJAX Coding Bible Course 08: Basic Node.JS Course 09: Master JavaScript with Data Visualization Course 10: Ionic & Angular JS: Mobile and Web Development Course 11: Building a TodoMVC Application in Vue, React, and Angular Course 12: Python Programming Bible Course 13: MySql Masterclass Course 14: Microsoft SQL Server Development for Everyone Course 15: Web Application Penetration Testing Course 16: CompTIA Security+ (SY0-601) Course 17: CompTIA PenTest+ (Ethical Hacking) Course 18: Kotlin Programming: Android Coding Bible Course 19: Diploma in Complete Web Development Course 20: HTML Web Development Crash Course Course 21: Web Services Essentials - HTML, Javascript Restful API Course 22: CSS Web Development Crash Course Course 23: Bootstrap - Responsive Web Design Course 24: Ultimate PHP & MySQL Web Development Course & OOP Coding Course 25: Masterclass Bootstrap 5 Course - Responsive Web Design With JavaScript Application Programming, you'll embark on an immersive learning experience that combines interactive lessons with voice-over audio, ensuring that you can learn from anywhere in the world, at your own pace. And with 24/7 tutor support, you'll never feel alone in your journey, whether you're a seasoned professional or a beginner. Don't let this opportunity pass you by. Enrol in JavaScript Application Programming today and take the first step towards achieving your goals and dreams. Why buy this Bundle? Free CPD Accredited Certificate upon completion of this Bundle Get a free student ID card with this Bundle Lifetime access to the course materials Get instant access to this bundle course Learn from anywhere in the world 24/7 tutor support with the course. Start your learning journey straightaway! JavaScript Application Programming premium bundle consists of 25 precisely chosen courses on a wide range of topics essential for anyone looking to excel in this field. Each segment of JavaScript Application Programming is meticulously designed to maximise learning and engagement, blending interactive content and audio-visual modules for a truly immersive experience. Certification You have to complete the assignment given at the end of the JavaScript Application Programming course. After passing the JavaScript Application Programming exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This JavaScript Application Programming course is ideal for: Students seeking mastery in JavaScript Application Programming Professionals seeking to enhance JavaScript Application Programming skills Individuals looking for a JavaScript Application Programming-related career. Anyone passionate about JavaScript Application Programming Further, you can enrol CIW JavaScript Specialist CIW Associate NCFE LEVEL 3 CERTIFICATE IN CODING PRACTICES Requirements This JavaScript Application Programming doesn't require prior experience and is suitable for diverse learners. Career path This JavaScript Application Programming bundle will allow you to kickstart or take your career in the related sector to the next stage. Certificates CPD Accredited Digital certificate Digital certificate - Included CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, then you have to pay an additional 10 GBP for each certificate as an international delivery charge.

Blockchain revolutionizes industries, offering decentralized, secure digital asset storage and transfer. This course explores fundamental blockchain and Web3 concepts-architecture, consensus, and benefits. Delve into blockchain economics, crucial for understanding network incentives and sustainability.

Course Overview This comprehensive course offers a deep dive into three essential technologies for data science: Python, JavaScript, and Microsoft SQL. Learners will gain foundational knowledge and practical skills in each of these key areas, which are crucial for handling data, creating interactive websites, and working with databases. By the end of the course, students will be proficient in writing Python code for data analysis, creating dynamic web content with JavaScript, and managing data with Microsoft SQL. The course is designed to equip learners with the technical skills needed to succeed in data science, making it a valuable investment for anyone looking to excel in this growing field. Course Description In this course, learners will explore the core principles of Python, JavaScript, and Microsoft SQL, all tailored to the needs of data science professionals. The curriculum covers Python’s data structures, functions, and libraries essential for data analysis, while JavaScript introduces students to web development skills, including client-side validation and data visualisation. The Microsoft SQL section focuses on data management, including filtering, joining, and structuring queries. Learners will develop a solid understanding of these technologies, which will enable them to manipulate data, automate processes, and design interactive applications. The course also includes real-world applications, ensuring learners are well-prepared for future opportunities in data science and web development. Course Modules: Module 01: JavaScript Getting Started Module 02: JavaScript Fundamentals Module 03: JavaScript Strings Module 04: JavaScript Operators Module 05: JavaScript Conditional Statements Module 06: JavaScript Control Flow Statements Module 07: JavaScript Functions Module 08: Data Visualization (Google Charts) Module 09: JavaScript Error Handling Module 10: JavaScript Client-Side Validations Module 11: Python Introduction Module 12: Python Basic Module 13: Python Strings Module 14: Python Operators Module 15: Python Data Structures Module 16: Python Conditional Statements Module 17: Python Control Flow Statements Module 18: Python Core Games Module 19: Python Functions Module 20: Python Args, KW Args for Data Science Module 21: Python Project Module 22: Publish Your Website for Live Module 23: MS SQL Statements Module 24: MS SQL Filtering Data Module 25: MS SQL Functions Module 26: MS SQL Joins Module 27: MS SQL Advanced Commands Module 28: MS SQL Structure and Keys Module 29: MS SQL Queries Module 30: MS SQL Structure Queries Module 31: MS SQL Constraints Module 32: MS SQL Backup and Restore (See full curriculum) Who is this course for? Individuals seeking to enhance their skills in data science. Professionals aiming to expand their knowledge in programming and database management. Beginners with an interest in Python, JavaScript, and SQL. Anyone looking to enter the field of data science or web development. Career Path Data Scientist Web Developer Database Administrator Data Analyst Front-End Developer Full Stack Developer Data Engineer

Python Programming: Beginner To Expert Course Overview The "Python Programming: Beginner to Expert" course provides a comprehensive learning journey from the basics of Python to advanced programming techniques. Designed to equip learners with the skills necessary to become proficient Python developers, this course covers a broad range of essential topics, including data types, operators, functions, error handling, and object-oriented programming (OOP). By the end of the course, learners will gain the expertise needed to develop complex applications and tackle real-world problems using Python. The course is ideal for those looking to deepen their understanding of programming and advance their careers in software development, data science, or automation. Course Description This course delves deeply into Python programming, beginning with the fundamentals and progressing to advanced concepts. Learners will explore core programming techniques, including control flow, functions, and error handling, as well as specialized topics such as object-oriented programming (OOP) and libraries like NumPy and Pandas. The course also covers career development topics, such as how to start a career in Python programming. Students will gain a solid understanding of Python’s capabilities and how to apply them across a variety of programming contexts, from scripting to data analysis and more. With its structured modules and clear guidance, learners will finish the course ready to take on more advanced programming projects and pursue roles in the field. Python Programming: Beginner To Expert Curriculum Module 01: Introduction to Python Programming from A-Z Module 02: Getting Familiar with Python Module 03: Basic Data Types Module 04: Python Operators Module 05: Advanced Data Types Module 06: Control Flow Part 1 Module 07: Control Flow Part 2 Module 08: Python Functions Module 09: User Input and Error Handling Module 10: Python Advanced Functions Module 11: Python Scripting and Libraries Module 12: NumPy Module 13: Pandas Module 14: Introduction to OOP Module 15: Advanced OOP Module 16: Starting a Career in Python (See full curriculum) Who is this course for? Individuals seeking to start a career in Python programming. Professionals aiming to enhance their programming skills for career development. Beginners with an interest in software development, data science, or automation. Those looking to expand their programming knowledge in a structured and progressive way. Career Path Python Developer Software Engineer Data Analyst Data Scientist Automation Specialist Web Developer Backend Developer

Introduction to Coding With HTML, CSS, & Javascript Course Overview "Introduction to Coding With HTML, CSS, & JavaScript" is a comprehensive course designed to equip learners with the foundational knowledge of web development. The course covers the essential programming languages – HTML, CSS, and JavaScript – focusing on creating interactive and responsive websites. Learners will gain proficiency in designing websites from scratch, using HTML for structure, CSS for styling, and JavaScript for adding dynamic features. By the end of the course, learners will have a well-rounded understanding of how to create websites that are functional, visually appealing, and user-friendly, preparing them for real-world web development tasks. Course Description This course takes learners through a structured journey in web development, starting with the basics and gradually advancing to more complex topics. The modules cover HTML from beginner to expert levels, CSS fundamentals to advanced styling techniques, and an in-depth exploration of JavaScript. The course includes practical projects that reinforce key concepts, such as building a website using HTML and CSS and incorporating JavaScript to enhance interactivity. Learners will also explore essential programming topics like functions, conditional statements, data visualisation, and client-side validation. By completing this course, learners will develop a solid foundation in web development, enabling them to create fully functional websites. Introduction to Coding With HTML, CSS, & Javascript Curriculum Module 01: Getting Started Module 02: Setting up Development Environment Module 03: HTML Fundamentals Module 04: HTML Intermediate Module 05: HTML Advanced Module 06: HTML Expert Module 07: HTML Website Project Module 08: CSS Fundamentals Module 09: CSS Intermediate Module 10: CSS Advanced Module 11: CSS Expert Module 12: CSS Website Project Module 13: JavaScript Getting Started Module 14: JavaScript Fundamentals Module 15: Strings Module 16: Operators Module 17: Conditional Statements Module 18: Control Flow Statements Module 19: Functions Module 20: Data Visualisation (Google Charts) Module 21: Error Handling Module 22: Client-side Validations Module 23: Publish Your Website for Live (See full curriculum) Who is this course for? Individuals seeking to build a career in web development. Professionals aiming to expand their technical skills in web programming. Beginners with an interest in learning web development. Anyone looking to design and develop their own websites. Career Path Front-end Developer Web Developer UI/UX Designer Web Development Specialist Digital Marketing Specialist Freelance Web Developer Web Designer

Gain comprehensive expertise in web development with our Website Development Diploma. Learn essential programming languages, design principles, and industry best practices to build dynamic, responsive websites. Kickstart your career in the digital realm today!

In this course, we will understand the absolute basic concepts of programming. Learn essential C# scripting for game development by building 20+ mini projects. We will also build 2D games with Unity and C#, and master C# by building these games with Unity.

Unlock the power of data with our 'Data Analytics with Tableau' course, a gateway to visualising and understanding your business's most crucial insights. Whether you're analysing sales, human resources, or stock prices, our expertly curated projects will equip you with the prowess to transform raw data into actionable strategies. With Tableau at your fingertips, you'll navigate diverse datasets from Discount Mart's profits to Tesla's stock prices, and more. This course isn't just about data; it's about weaving compelling stories that drive decision-making, all while delving into the foundations of database concepts. Learning Outcomes Understand the core functionalities of Tableau for data visualisation. Analyse and interpret datasets from various business domains such as sales, HR, and stock markets. Craft Tableau stories that effectively communicate insights and drive decisions. Acquire foundational knowledge of database concepts pertinent to data analytics. Gain proficiency in executing projects and transforming business questions into analytical solutions. Why choose this Certificate in Data Analytics with Tableau at QLS Level 3 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Analytics with Tableau at QLS Level 3 for? Individuals seeking to elevate their data visualisation skills using Tableau. Business analysts and consultants aiming to harness the power of data-driven storytelling. Marketing professionals keen on deriving actionable insights from data. Finance and HR professionals looking to analyse datasets effectively. Entrepreneurs aiming to make data-driven decisions for their enterprises. Career path Data Analyst: £25,000 - £40,000 Tableau Developer: £30,000 - £55,000 Business Intelligence Analyst: £28,000 - £50,000 Data Visualisation Expert: £32,000 - £57,000 HR Analytics Specialist: £29,000 - £52,000 Stock Market Data Analyst: £27,000 - £48,000 Prerequisites This Certificate in Data Analytics with Tableau at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Module 01: Introduction to the Course Introduction to the Course 00:02:00 What is Tableau?An Introduction to Tableau 00:03:00 How this course is Structured 00:01:00 Installing the Free Full Version of Tableau 00:02:00 Module 02: Project 1: Discount Mart (Sales and Profit Analytics) Project Brief for Discount Mart 00:03:00 Connecting and Preparing Data for Discount Mart 00:15:00 Building Charts on Tableau for Discount Mart (Part 1) 00:33:00 Building Charts on Tableau for Discount Mart (Part 2) 00:16:00 Creating Headline Cards on Tableau for Discount Mart 00:10:00 Building and Publishing Dashboards on Tableau 00:15:00 Module 03: Project 2: Green Destinations (HR Analytics) Project Brief for Green Destinations 00:02:00 Connecting and Preparing Data for Green Destinations 00:09:00 Building Charts on Tableau (Part 1) for Green Destinations 00:28:00 Building Charts on Tableau (Part 2) for Green Destinations 00:08:00 Creating Headline Cards on Tableau 00:12:00 Building a Dashboard for Green Destinations 00:12:00 Publish your Dashboard to Tableau Public 00:03:00 Module 04: Project 3: Superstore (Sales Agent Tracker) Project Brief for Super Store 00:02:00 Connecting and Preparing Data for Super Store 00:17:00 Building Charts on Tableau (Part 1) for Super Store 00:34:00 Building Charts on Tableau (Part 2) for Super Store 00:23:00 Building a Dashboard 00:18:00 Publish your Dashboard to Tableau Public 00:03:00 Module 05: Northwind Trade (Shipping Analytics) Project Brief for Northwind Trade 00:03:00 Connecting and Preparing Data for Northwind Trade 00:14:00 Building Charts on Tableau for Northwind Trade 00:37:00 Building and Publishing Dashboards for Northwind Trade 00:10:00 Module 06: Project 5: Tesla (Stock Price Analytics) Project Brief for Tesla 00:02:00 Creating a Data Source through Google Sheet Functions 00:05:00 Connect to the Data for Tesla 00:04:00 Building Charts on Tableau for Tesla 00:22:00 Building Headline Cards 00:09:00 Building a Tesla Dashboard 00:08:00 Publish your Dashboard to Tableau Public 00:03:00 Module 07: Bonus: Introduction to Database Concepts Introduction to Database Concepts 00:01:00 Understanding Relational Databases 00:04:00 Relationships of Database Entities 00:02:00 Primary and Foreign Keys 00:01:00 Data types and Naming Conventions 00:04:00 Module 08: Tableau Stories Creating Stories on Tableau 00:05:00 Resources Resources - Certificate in Data Analytics with Tableau at QLS Level 3 00:00:00 Assignment Assignment - Certificate in Data Analytics with Tableau at QLS Level 3 04:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

Embark upon a journey of discovery with the 'AutoCAD VBA Programming - Beginner course,' where your first steps into the realm of programming within AutoCAD will lay a solid foundation for future innovation. This course is meticulously designed to guide you through the essentials, commencing with a comprehensive introduction that sets the stage for your learning adventure. As the curtain rises, you will be introduced to the robust Integrated Development Environment (IDE) where the magic of coding comes to life. Progressing through the syllabus, your insight into the AutoCAD Object Model will expand, revealing the intricacies of harnessing VBA to manipulate this powerful design tool. You'll delve into the world of variables, learning to juggle the data that acts as the building blocks of robust programming structures. As you advance, the course unveils the secret to crafting interactive user interfaces with User Forms and Controls, enabling you to tailor the AutoCAD experience like never before. The crescendo of your learning expedition peaks with mastering decision-making through Conditionals and exploiting the power of Looping to automate repetitive tasks, culminating in your ability to conjure up precise drawing objects with VBA scripts. Your newfound competence will also include troubleshooting your own code with Debugging techniques and navigating unforeseen errors with adept Error Handling strategies, ensuring that you conclude the course poised to tackle real-world challenges with confidence. Learning Outcomes: Gain an understanding of VBA within AutoCAD to create custom scripts. Develop the capability to construct and manipulate user interfaces in AutoCAD. Acquire the skills to make logical decisions and automate tasks through coding. Learn the strategies to identify and correct errors in VBA scripts. Master the application of VBA to enhance precision in AutoCAD drawings. Why buy this AutoCAD VBA Programming - Beginner course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the AutoCAD VBA Programming - Beginner course Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? Individuals keen to learn programming within a CAD environment. Professionals in the design industry looking to add automation to their toolkits. Beginners in programming aiming to apply their skills in technical drawing. CAD technicians aspiring to increase efficiency in their workflow. Design students seeking to supplement their studies with technical scripting abilities. Prerequisites This AutoCAD VBA Programming - Beginner course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This AutoCAD VBA Programming - Beginner course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path CAD Technician - £20,000 to £35,000 per annum VBA Developer - £30,000 to £60,000 per annum AutoCAD Designer - £25,000 to £40,000 per annum BIM Coordinator - £35,000 to £50,000 per annum Structural Engineer - £28,000 to £48,000 per annum Architectural Technologist - £22,000 to £35,000 per annum Course Curriculum Unit 01: Introduction Module 01: Introduction 00:04:00 Module 02: Course Content Identified 00:06:00 Unit 02: VBA Integrated Development Environment (IDE) Module 01: Setting-up the Environment (Installing VBA IDE) 00:01:00 Module 02: Downloading and Installing AutoCAD VBA IDE 00:04:00 Module 03: Identify and Understand VBA IDE Components (Toolbars and Windows) 00:03:00 Module 04: VBA IDE Walkthrough 00:14:00 Unit 03: Understanding AutoCAD Object Model in VBA Module 01: Examining AutoCAD VBA Object Model Structure 00:07:00 Module 02: Examining AutoCAD Object Model Structure Part 2 00:06:00 Unit 04: Using Variables in VBA Module 01: Working on Variables 00:01:00 Module 02: Using Variables in the Program 00:14:00 Unit 05: User Forms and Controls Module 01: User Forms and Controls Topic Breakdown 00:02:00 Module 02: Using Label, Textbox and Command Button Controls 00:10:00 Module 03: Using ListBox Control 00:06:00 Module 04: Using ComboBox Control 00:09:00 Module 05: Using CheckBox Control 00:08:00 Module 06: Using OptionButton Control 00:03:00 Module 07: Using MultiPage Control 00:10:00 Module 08: Using MultiPage Control Continued 00:14:00 Module 09: Using Frame Control 00:03:00 Unit 06: Conditionals and Decisions in VBA Module 01: Conditions and Decisions Course Outline 00:01:00 Module 02: IF-THEN-ELSE Condition 00:02:00 Module 03: IF-THEN-ELSEIF Condition 00:04:00 Module 04: Conditional Operators in VBA 00:04:00 Module 05: Logical Operators in VBA 00:07:00 Module 06: SELECT CASE Statement in VBA 00:05:00 Unit 07: Looping and Iterations in VBA Module 01: Looping and Iterations Overview 00:02:00 Module 02: Using DO-WHILE Loop in VBA 00:04:00 Module 03: Using DO-UNTIL Loop in VBA 00:02:00 Module 04: Using FORNEXT Loop in VBA 00:02:00 Module 05: Using FOREACHNEXT Loop in VBA 00:03:00 Unit 08: Drawings Objects in VBA Module 01: Drawing Objects Overview 00:01:00 Module 02: Draw a Line Object using Utility Function 00:03:00 Module 03: Draw a Line Object using Points from User's Input 00:07:00 Module 04: Draw a Circle Object Using Utility Functions 00:03:00 Module 05: Draw a Text Object using Utility Functions 00:05:00 Module 06: Draw a LWPolyline and Polyline Objects 00:06:00 Unit 09: Code Debugging in VBA Module 01: Code Debugging Overview3 00:01:00 Module 02: Code Debugging in VBA Demo3 00:12:00 Module 03: Code Debugging in VBA Demo Continued 00:02:00 Unit 10: Error Handling in VBA Module 01: Error Handling Course Outline 00:02:00 Module 02: Error Handling in VBA Demo 00:13:00 Unit 11: Conclusion Module 01: Conclusion and Thank you! 00:01:00 Assignment Assignment - AutoCAD VBA Programming - Beginner course 00:00:00

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00