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Machine learning doesn’t need to be intimidating—especially when you’ve got R on your side. This course offers a clear, well-paced approach to learning machine learning using one of the most respected languages in data science. Whether you’re brushing up on your statistics or stepping into data modelling, the content is structured to help you think algorithmically and act analytically, without feeling overwhelmed by jargon or complexity. From regression techniques to classification methods and everything in-between, this course covers the core building blocks that give machine learning its predictive power. R is not just a programming language here—it’s your analytical toolkit. If terms like decision trees, clustering, and support vector machines sound like something out of a sci-fi novel, don’t worry—by the end, they’ll feel like familiar companions. Whether you’re analysing patterns or building predictive models, this course offers a confident route through the world of machine learning with an R-flavoured lens. Ask ChatGPT Learning Outcomes: Understand the basics of machine learning and its implementation using R. Develop the skills to build simple and multiple linear regression models. Learn how to use R to analyse datasets and develop predictive models. Understand the concept of dummy variables and the backward elimination approach. Learn how to make accurate predictions using machine learning algorithms and extract valuable insights from data. If you're looking to expand your knowledge in data analysis and machine learning, then the "Learn Machine Learning with R" course is perfect for you. This comprehensive course comprises two sections, each designed to help you gain an in-depth understanding of machine learning concepts, starting from the very basics. You'll learn about linear regression, the equation for the algorithm, and how to make simple linear regression models. Additionally, you'll dive into multiple linear regression, dummy variable concepts, and predictions over the year. With the help of this course, you'll be able to analyse datasets, develop predictive models, and extract valuable insights from them, using R. Learn Machine Learning with R Course Curriculum Section 01: Linear Regression and Logistic Regression Working on Linear Regression Equation Making the Regression of the Algorithm Basic Types of Algorithms predicting the Salary of the Employee Making of Simple Linear Regression Model Plotting Training Set and Work Section 02: Understanding Dataset Multiple Linear Regression Dummy Variable Concept Predictions Over Year Difference Between Reference Elimination Working of the Model Working on Another Dataset Backward Elimination Approach Making of the Model with Full and Null How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students or professionals looking to develop their data analysis and machine learning skills. Individuals interested in pursuing a career in data science or machine learning. Anyone interested in understanding how to extract insights from data. Programmers looking to learn machine learning implementation using R. Beginners interested in learning the basics of machine learning. Career path Data analyst: £30,000 to £50,000 Machine learning engineer: £45,000 to £85,000 Data scientist: £40,000 to £80,000 Business analyst: £30,000 to £55,000 Research analyst: £25,000 to £45,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Data isn’t just for tech wizards anymore — it’s at the heart of smart business decisions. This course takes a light-footed yet sharp approach to show you how data shapes strategies, informs choices, and reveals what’s really going on behind the numbers. Whether you're managing a small team or eyeing growth opportunities, understanding the basics of business and data analytics can help you avoid the guesswork and focus on what truly drives performance. We’ve designed this course to make numbers less intimidating and more insightful. Through clear explanations and well-paced modules, you’ll grasp how data trends, patterns, and reports can support better decision-making across departments. If spreadsheets usually send you running, don’t worry — we keep things clear, logical, and surprisingly engaging. This course is for beginners, but the mindset you’ll develop is fit for any boardroom conversation. Learning Outcomes: Develop an understanding of the principles and practices of business and data analytics Learn effective strategies for problem framing and business process modelling Develop analytical skills for data preparation, evaluation, and deployment Understand how to exploit data to gain a competitive edge Be able to make informed decisions and navigate the complex and dynamic world of business and data analytics The "Business and Data Analytics for Beginners" course is designed to provide a comprehensive understanding of the principles and practices that underpin successful data analysis in a business context. Through engaging modules and real-world case studies, learners will gain insights into the basics of business and data analytics, advanced techniques for data preparation, evaluation, and deployment, and effective strategies for exploiting data to gain a competitive edge. By the end of the course, learners will be equipped with the knowledge and skills to make informed decisions and navigate the complex and dynamic world of business and data analytics. Whether you're a business professional looking to enhance your skills or a beginner looking to enter the world of data analysis, this course is a must-have for anyone interested in the world of business and data analytics. Business and Data Analytics for Beginners Course Curriculum Section 01: Business and Data Analytics Introduction to Business and Data Analytics Where are Insights Business Analytics Being Used Problem Framing Process Section 02: Business Process Model Business Process Modelling Outcome of the First Step Outcome of the Second Step Data Understanding How Do You Exploit Data that no One Else Has? Informational System Usually Section 03: Working on Data Data Preparation Evaluation Deployment Major Health Insurance Company Process How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Business professionals looking to enhance their data analysis skills Beginners interested in the world of business and data analytics Business students interested in the field of data analysis Entrepreneurs looking to incorporate data analysis into their business practices Anyone interested in gaining a comprehensive understanding of data analysis in a business context Career path Data Analyst: £20,000 - £50,000 per year Business Analyst: £25,000 - £60,000 per year Marketing Analyst: £25,000 - £50,000 per year Financial Analyst: £25,000 - £70,000 per year Operations Analyst: £25,000 - £60,000 per year Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Dive into the intricate world of deep learning with this sharply focused course on heuristic techniques using R. This programme is designed for learners keen to understand how heuristics shape machine learning models, particularly in deep neural networks. Whether you're brushing up on your algorithmic intuition or delving deeper into optimisation patterns, this course delivers a solid framework rooted in logic, not lingo. With R as your analytical companion, you'll explore neural computation, gradient-based strategies, backpropagation nuances, and heuristic-inspired adjustments that enhance model efficiency. This isn't about flashy tools or inflated claims — it's about getting your mind around how deep learning truly works, one clever calculation at a time. No fluff, no filler — just clear insights and well-paced learning to support your journey through the matrix of machine intelligence. Learning Outcomes: Develop an understanding of experimental design and how it applies to heuristics. Learn how to apply heuristics to real-world problems in the agriculture, cryptocurrency, energy, and financial markets sectors. Understand how to use R programming language for deep learning heuristics. Develop skills in analyzing data sets and creating predictive models. Learn how to implement different heuristics algorithms in R programming. The Essential Training on Deep Learning Heuristic using R is designed to provide students with a comprehensive understanding of heuristics and how they can be applied to various real-world problems. The course covers experimental design, data analysis, and predictive modelling using R programming language. Students will learn about different heuristics algorithms and how to implement them in R to solve complex problems in the agriculture, cryptocurrency, energy, and financial markets sectors. Throughout the course, students will work on various projects that will help them develop practical skills in analyzing data sets and creating predictive models. They will learn how to design experiments, collect and analyse data, and create models that can be used to make predictions. By the end of the course, students will have a strong understanding of heuristics, and deep learning, and how to apply them to solve real-world problems. Essential Training on Deep Learning Heuristic using R Course Curriculum Section 01: Experimental Design - Heuristics Project 1-Agriculture Section 02: Experimental Design - Heuristics Project 2-Cryptocurrencies Section 03: Experimental Design: Heuristics Project 3-Energy Sector Section 04: Experimental Design: Heuristics Project 4-Financial Markets How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data scientists who want to learn how to apply deep learning heuristics to solve real-world problems. Programmers who want to learn R programming language for data analysis and predictive modeling. Professionals in the agriculture, cryptocurrency, energy, and financial markets sectors who want to apply heuristics to solve complex problems. Students who want to learn about deep learning heuristics and how they can be applied to real-world problems. Anyone interested in developing practical skills in data analysis and predictive modelling using R programming language. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Deep Learning Engineer: £30,000 - £90,000 AI Researcher: £40,000 - £120,000 Data Scientist: £35,000 - £90,000 Machine Learning Engineer: £40,000 - £100,000 AI Architect: £50,000 - £150,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Dive into the dynamic world of English language teaching with our 120 Hours TEFL (TESOL) Masterclass Course. Tailored for those with a passion for language and communication, this expertly structured course blends academic insight with the essential tools required to confidently teach English to non-native speakers—whether abroad or online. With a strong emphasis on methodical planning, classroom theory, and linguistics, you’ll gain a strong foundation in the mechanics of teaching English as a foreign language. Ideal for aspiring teachers and language enthusiasts alike, this masterclass equips you with the theoretical knowledge needed to support learners of all backgrounds and levels. Whether you're looking to begin a new teaching journey or add value to your current role, this course offers a flexible and engaging learning experience designed to fit around your schedule. Study from anywhere, at your own pace, and gain internationally recognised certification that reflects your dedication and commitment to the art of teaching English. What Can You Expect? Master the fundamentals of English language teaching. Delve into advanced linguistics and pronunciation techniques. Learn innovative methods to teach grammar, vocabulary, and language skills. Gain practical experience in lesson planning and classroom management. Explore the latest technology and tools for effective language teaching. Key Features CPD UK Certified 120-hour TEFL (TESOL) Course The Quality Licence Scheme QLS Endorsed Free PDF Certificate Lifetime Access Fully Online TEFL (TESOL) Course Why Should You Choose our TEFL (TESOL) Masterclass course? Become a methodology maestro: Master the latest TEFL (TESOL) teaching approaches to transform even the most hesitant students into confident English speakers. Craft captivating lessons: Ditch the dry lectures and design interactive activities that keep your classroom buzzing. Effortless learning, on your terms: This 120-hour TEFL (TESOL) Masterclass is fully online and self-paced, so you can conquer your TEFL (TESOL) goals at your own convenience. Globally recognised certification: Upon completion, receive a TEFL (TESOL) certificate that opens doors to teaching opportunities worldwide. 20 Hours TEFL (TESOL) Masterclass Curriculum Details Module 1: Introduction to the English Language & Learning Module 2: Linguistics Module 3: English Pronunciation Module 4: Teaching Grammar and Vocabulary Module 5: Language Teaching Methodologies Module 6: Teaching Receptive Skills: Reading Module 7: Teaching Productive Skills: Writing Module 8: Teaching Receptive Skills: Listening Module 9: Teaching Productive Skills: Speaking Module 10: Lesson Planning Module 11: Use of Games and Activities Module 12: Technology in Second Language Teaching Learning Module 13: Classroom Management and Student Motivation Module 14: Teaching English Situational Approach Module 15: Professional Development and Employment The 120-Hour TEFL (TESOL) Masterclass is designed for individuals who are passionate about teaching English as a foreign language (TEFL) or teaching English to speakers of other languages (TESOL). CPD 150 CPD hours / points Accredited by The CPD Certification Service TEFL 120h Masterclass 2:19:49 1: Module 01 Preview 09:45 2: Module 02 14:00 PDF 3: Module 03 09:35 4: Module 04 11:04 5: Module 05 07:00 PDF 6: Module 06 08:48 7: Module 07 06:00 8: Module 08 07:26 9: Module 09 07:36 10: Module 10 10:17 11: Module 11 07:16 12: Module 12 08:00 PDF 13: Module 13 12:00 PDF 14: Module 14 09:36 15: Module 15 09:26 16: Leave a Review 01:00 PDF 17: Assignment 01:00 PDF Who is this course for? English Language (ESL) Instructors English Teacher TEFL/ TESOL Teacher Communicator Leading English TA EFL/ESL Teacher English Language Teacher Academic English Tutor Requirements This English Diploma course is open to all, with no formal entry requirements. Career path Completing this course can open up a range of career opportunities, including roles in education, publishing, and translation. English as a foreign language (EFL) teacher ( £14,000 to £35,000) English Language Teacher (average salary £30,000-£35,000) Copywriter (average salary £25,000-£35,000) Journalist (average salary £25,000-£45,000) Public Relations Specialist (average salary £30,000-£50,000) Certificates Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.

🎉 Unlock the doors to success with our comprehensive Insurance Training Course! 🎓 Whether you're diving into the world of insurance for the first time or looking to level up your skills, this course is your ultimate guide to mastering the ins and outs of the insurance industry.   🔍 What can you expect from our Insurance Training Course? Let's dive in! 💡 Learn from Experts: Our course is curated by industry experts with years of experience in the insurance field. You'll benefit from their insights, tips, and real-world examples that will help you navigate the complexities of insurance with confidence. 📚 Comprehensive Curriculum: From the fundamentals of insurance principles to advanced topics like risk management and underwriting, our course covers it all. You'll gain a solid understanding of key concepts, regulations, and best practices that are essential for success in the insurance industry. 💼 Practical Skills Development: Theory is important, but so is hands-on experience! That's why our course is designed to provide you with practical skills that you can apply directly in your insurance career. Whether it's assessing risk, calculating premiums, or handling claims, you'll develop the skills employers are looking for. 👩‍🏫 Flexible Learning: We understand that everyone has different schedules and learning preferences. That's why our course offers flexible learning options, including online modules, video lectures, and interactive exercises. Learn at your own pace, whenever and wherever you want. 🌟 Career Advancement Opportunities: Whether you're aiming for a career as an insurance agent, underwriter, claims adjuster, or risk manager, our course will equip you with the knowledge and skills you need to succeed. Stand out from the competition and advance your career with confidence.   🚀 Who is this for? Our Insurance Training Course is perfect for: Aspiring insurance professionals looking to kickstart their careers. Current insurance employees seeking to expand their knowledge and skillset. Individuals considering a career change to the insurance industry. Entrepreneurs or small business owners who want to understand insurance for their businesses. Students or recent graduates interested in pursuing a career in insurance. No matter where you are in your career journey, our course will empower you to reach your goals in the insurance industry.   🛣️ Career Path The insurance industry offers a wide range of career opportunities, and our course can help you unlock them. Here are just a few potential career paths you could pursue after completing our Insurance Training Course: Insurance Agent/Broker: Help individuals and businesses find the right insurance coverage to meet their needs. Underwriter: Assess risks and determine coverage and premiums for insurance policies. Claims Adjuster: Investigate insurance claims and determine the extent of coverage and payouts. Risk Manager: Identify and analyze potential risks for businesses and recommend strategies to mitigate them. Actuary: Use mathematical and statistical methods to assess risk and uncertainty in the insurance industry. And these are just a few examples! With the knowledge and skills gained from our course, you'll have the flexibility to pursue various career paths within the dynamic and rewarding field of insurance. Ready to embark on your insurance journey? Enroll in our Insurance Training Course today and take the first step towards a successful and fulfilling career in insurance! 🎉   FAQs 1. What is insurance? Insurance is a contract between an individual or entity (the insured) and an insurance company (the insurer), whereby the insurer agrees to provide financial protection or reimbursement against specified losses in exchange for payment of premiums. It helps individuals and businesses mitigate financial risks by transferring them to the insurance company. 2. Why is insurance important? Insurance is crucial for protecting individuals, businesses, and assets against unexpected events and losses. It provides financial security and peace of mind, ensuring that individuals and businesses can recover from accidents, natural disasters, liability claims, and other unforeseen circumstances without facing severe financial hardship. 3. What types of insurance are there? There are various types of insurance tailored to different needs and risks. Common types of insurance include: Health insurance Life insurance Property insurance (e.g., homeowners insurance, renters insurance) Auto insurance Liability insurance Business insurance (e.g., commercial property insurance, professional liability insurance) Travel insurance 4. How does insurance work? Insurance works on the principle of risk pooling and sharing. Policyholders pay premiums to the insurance company, which pools these funds to cover potential losses. When a covered event occurs, policyholders can file a claim with the insurance company, and if the claim is approved, the insurer provides financial compensation or coverage as per the terms of the policy. 5. What is the role of an insurance agent? Insurance agents act as intermediaries between insurance companies and customers. They help individuals and businesses assess their insurance needs, recommend suitable policies, explain coverage options and terms, and assist with the purchasing process. They also provide ongoing customer support, handle policy renewals, and facilitate claims processing. 6. How do I choose the right insurance policy? Choosing the right insurance policy depends on various factors, including your individual or business needs, budget, risk tolerance, and preferences. It's essential to evaluate different policy options, compare coverage features and premiums, and consider factors such as deductibles, limits, exclusions, and the financial strength and reputation of the insurance company. Working with a knowledgeable insurance agent or broker can also help you make informed decisions. 7. Is insurance regulated? Yes, insurance is regulated by government authorities to ensure consumer protection, solvency of insurers, and fair practices within the industry. Regulations may vary by country or jurisdiction and typically involve licensing requirements for insurers and agents, financial reporting standards, consumer protection laws, and oversight by regulatory agencies or departments. Compliance with regulations helps maintain the stability and integrity of the insurance industry.   Remember, while this FAQ section provides general information, specific details may vary based on your location, insurance type, and individual circumstances. It's always advisable to consult with insurance professionals or industry experts for personalized guidance and advice. Course Curriculum Module 1_ Introduction to Insurance. Introduction to Insurance. 00:00 Module 2_ Types of Insurance Policies. Types of Insurance Policies. 00:00 Module 3_ Underwriting and Risk Assessment. Underwriting and Risk Assessment. 00:00 Module 4_ Claims and Loss Adjustments. Claims and Loss Adjustments. 00:00 Module 5_ Regulatory and Legal Issues in Insurance. Regulatory and Legal Issues in Insurance. 00:00

Build real-world MVC applications using Repository Pattern, N-Tier Architecture, APIs, Entity Framework Core and ASP.NET MVC Core 3.1

Overview Parenting : Parenting Online This Parenting: Parenting course provides an excellent foundation in child care. The course is intended for people who want to learn about parenting roles and responsibilities, as well as those who want to work with children. This Parenting: Parenting course discusses the responsibilities of being a parent. It entails ensuring the safety and well-being of babies and young children, as well as respecting and valuing them and emphasizing the importance of leading a healthy lifestyle. You will have a solid understanding of parenting and healthy lifestyles after completing this course. Main Course: Level 2 Award in Preparation for the Responsibilities of Parenting Free Courses Course 01: Level 2 Certificate in Understanding Common Childhood Illnesses Affecting Children Course 02: Child Sexual Exploitation & Child Criminal Exploitation (CSE & CCE) Awareness Training [ Note: Free PDF certificate as soon as completing the Advanced Parenting: Building Strong Relationships with Your Child Course] Description Parenting: Parenting Course Online Course Curriculum of Level 2 Award in Preparation for the Responsibilities of Parenting Module 01: Rights and Responsibilities in Relation to Parenting Module 02: Parenting and Healthy Lifestyles Module 03: Parenting a Young Baby Module 04: Respecting and Valuing Children Assessment Method of Parenting: Parenting Course After completing each module Parenting: Parenting Course, you will get MCQ quizzes to assess your learning. You will move through the later modules upon successful completion (60% correct answer at least) of the quiz test. This process continues till the end of the course. Apart from this, you do not need to sit for any other assessments. Certification of Parenting: Parenting Course After completing the Parenting: Parenting Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Parenting: Parenting Course Online This Parenting: Parenting course is suitable for young people in schools or colleges. Requirements Parenting: Parenting Course Online To enrol in this Parenting: Parenting Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Parenting: Parenting Course. Be energetic and self-motivated to complete our Parenting: Parenting Course. Basic computer Skill is required to complete our Parenting: Parenting Course. If you want to enrol in our Parenting: Parenting Course, you must be at least 15 years old.

Learn to make interactive apps using Swift 4.2 and Xcode 10 and have your own applications in the App Store in just 10 days

Your guide to practice and learn to excel in Word 2019.

This course is designed to help you master the concepts of JavaScript needed to create interactive web games. You will create five interesting word games that will teach you how to write and test the game code in JavaScript.