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Overview This Life Coach Masterclass course will unlock your full potential and will show you how to excel in a career in Life Coach Masterclass. So upskill now and reach your full potential. Everything you need to get started in Life Coach Masterclass is available in this course. Learning and progressing are the hallmarks of personal development. This Life Coach Masterclass will quickly teach you the must-have skills needed to start in the relevant industry. In This Life Coach Masterclass Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Life Coach Masterclass skills to help you advance your career. Acquire a comprehensive understanding of various Life Coach Masterclass topics and tips from industry experts. Learn in-demand Life Coach Masterclass skills that are in high demand among UK employers, which will help you to kickstart your career. This Life Coach Masterclass course covers everything you must know to stand against the tough competition in the Life Coach Masterclass field.  The future is truly yours to seize with this Life Coach Masterclass. Enrol today and complete the course to achieve a Life Coach Masterclass certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Life Coach Masterclass course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Life Coach Masterclass course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Life Coach Masterclass course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Life Coach Masterclass is suitable for anyone aspiring to start a career in Life Coach Masterclass; even if you are new to this and have no prior knowledge on Life Coach Masterclass, this course is going to be very easy for you to understand.  And if you are already working in the Life Coach Masterclass field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Life Coach Masterclass course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Life Coach Masterclass course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Life Coach Masterclass course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Life Coach Masterclass course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Introduction What You Will Learn 00:06:00 Get To Know Your Instructor 00:02:00 PART 1: LIFE COACHING CERTIFICATION What Is Life Coaching 00:05:00 The Benefits Of Becoming A Life Coach 00:04:00 The Difference Between Coaching, Therapy, Mentoring & Training 00:03:00 The Responsibilities Of A Life Coach 00:03:00 Coaching Fundamentals Coaching Fundamentals Overview 00:02:00 Listening Introduction 00:02:00 The 3 Kinds Of Listening As A Coach 00:05:00 Your Listening Template 00:11:00 Questioning Introduction 00:01:00 Questioning & Coaching 00:03:00 How Coaching Questions Are Different From Normal Questions 00:02:00 The Different Types Of Coaching Questions 00:12:00 Questions Summary 00:03:00 Building Trust Introduction 00:01:00 The Trust Checklist Exercise 00:03:00 How To Build Trust As A Coach 00:08:00 More Trust Building Strategies 00:05:00 Understanding Personalities Understanding Personalities Overview 00:03:00 Big Five Personality Model 00:02:00 Myers Briggs Personality Model 00:04:00 Your Personality Model 00:09:00 How To Bring Out Your Strengths With This Model 00:10:00 Coaching Models Explained Coaching Models Introduction 00:02:00 GROW Model Explained 00:05:00 STEPPPA Model Explained 00:08:00 FUEL Model Explained 00:03:00 CLEAR Model Explained 00:04:00 Why We Will Use The GROW Model 00:01:00 Coaching Step 1: Goal Setting Step 1 Introduction 00:03:00 Why Defining Your Values Is Important 00:03:00 How To Define Your Personal Values 00:06:00 What Does Your Ideal Life Look Like? 00:04:00 The 4 Biggest Goal Setting Mistakes To Avoid 00:06:00 Stretch Goals Explained 00:03:00 Why You Should Start With Long Term Goals 00:05:00 Setting Your First Long Term Goal 00:06:00 Turning Long Term Goals Into Short Term Goals 00:05:00 Next Steps 00:01:00 Coaching Step 2: Reality Step 2 Introduction 00:01:00 Status Quo Explained 00:06:00 Wheel Of Life Excercise Explained 00:06:00 Big Rocks Exercise Explained 00:05:00 Coaching Example Step 2 00:05:00 Coaching Step 3: Options & Obstacles Step 3 Introduction 00:01:00 How To Brainstorm With Your Client(s) 00:05:00 How To Evaluate Your Brainstorming Ideas 00:05:00 'Spheres Of Influence' Excerise Explained 00:03:00 'Not To Do List' Exercise Explained 00:04:00 Coaching Example Step 3 00:07:00 Coaching Step 4: Will & Action Planning Step 4 Introduction 00:01:00 The 80/20 Rule Applied To Coaching 00:04:00 How To Design An Action Plan 00:03:00 Coaching Example Step 4 00:05:00 GROW Model Recap 00:03:00 How To Structure Your Coaching Sessions Structuring Your Sessions Introduction 00:01:00 How To Define Your Coaching Ground Rules 00:03:00 How Much Should You Charge 00:05:00 The Pre Coaching Call 00:03:00 Your First Coaching Session 00:03:00 Progress Evaluation Sessions 00:05:00 My Recommended Coaching Timeline 00:03:00 Client Coach Relationship Client Coach Relationship Intro 00:01:00 What Clients Expect From Their Coaches 00:04:00 Why Clients Choose One Coach Over Another 00:02:00 Client Coach Boundaries 00:03:00 How To Retain Clients Long Term 00:05:00 Advanced Coaching Strategies Advanced Coaching Strategies Introduction 00:01:00 Reframing Explained 00:07:00 Managing Emotional States 00:07:00 Understanding Representational Systems 00:08:00 Personal SWOT Analysis 00:06:00 Johari Window - Developing Self Awareness 00:05:00 Giving Good Feedback As A Coach 00:05:00 PART 2: HOLISTIC HEALTH COACHING CERTIFICATION Part 2 Introduction 00:03:00 What It Means To Be Healthy 00:04:00 What Does A Health Coach Do? 00:03:00 How Can You Combine Life Coaching & Health Coaching 00:02:00 Diet & Nutrition Fundamentals Diet Introduction 00:01:00 Your Health & Diet: How They Are Linked 00:04:00 The Consequences Of Following A Bad Diet 00:04:00 How To Eat For Longevity 00:02:00 What Are Calories? Explained 00:04:00 The Relationship Between Bodyweight And Health 00:05:00 Calories & Bodyweight In A Healthy Diet 00:02:00 The Surprising Results Of The Twinkie Diet 00:02:00 The Relationship Between Weight Loss And Health 00:03:00 Figuring Out How Many Daily Calories You Need 00:02:00 Calculating Your Total Daily Calories 00:03:00 Healthy Weight Ranges 00:02:00 The Best Foods For A Healthier Life 00:02:00 Best Protein Foods 00:01:00 Best Carbohydrate Foods 00:01:00 Best Dietary Fat Foods 00:01:00 How Much Of Each (Protein, Carbs, Fat)? 00:04:00 What About The Remaining Calories 00:01:00 Diet & Nutrition Coaching Client Assessment Introduction 00:01:00 Client Interview 00:04:00 How To Create A Diet Plan For Clients 00:09:00 Calculating BMI 00:03:00 Exercise Coaching: Cardio Cardio Introduction 00:01:00 The Different Types Of Cardio 00:02:00 Creating A Cardio Workout For A Client 00:04:00 How To Monitor Your Heart Rate During A Workout 00:02:00 Cardio vs Weigh Training - Which Is Better For Weight Loss 00:07:00 Exercise Coaching: Resistance Training Weight Training Introduction 00:01:00 Muscle Building Formula 00:07:00 The Science Behind Muscle Growth 00:04:00 Weight Training vs Bodyweight Training 00:02:00 How To Create A Beginner Workout Plan 00:09:00 5 Most Important Aspects Of Lifting Form 00:03:00 Progressive Overload 00:03:00 Hormone Health Explained Hormones Introduction 00:02:00 The 3 Types Of Hormones 00:03:00 The Endocrine System Explained 00:04:00 Hormones & Heart Disease 00:04:00 Anabolic Steroids: Why They Are So Dangerous 00:04:00 Most Important Hormones Overview 00:01:00 Insulin 00:04:00 Glucagon 00:02:00 Adrenaline 00:03:00 Cortisol 00:04:00 Ghrelin 00:02:00 Leptin 00:03:00 Thyroid Hormones 00:02:00 Estrogen 00:03:00 Growth Hormone 00:01:00 Testosterone 00:03:00 Supplements How To Build Your Own Supplement Stack 00:09:00 Top 3 Beginner Supplements For Muscle Growth 00:04:00 The Best Supplements To Boost Immunity 00:04:00 The Best Supplements For Vegans & Vegetarians 00:02:00 The Best Supplements For Joint & Bone Health 00:02:00 The Best Supplements For Fat Loss 00:04:00 Health & Fitness Motivation Health & Fitness Motivation Introduction 00:02:00 How To Get Out Of A Workout Rut 00:09:00 Health & Fitness FAQ Answered What Is Nutrient Density 00:04:00 Is Brown Sugar Better Than White Sugar 00:03:00 What Should You Train On Your First Day At The Gym? 00:07:00 Are Microwaves Harmful? 00:05:00 Fresh vs Frozen Food: Which Is Healthier 00:04:00 PART 3: WELLNESS COACHING CERTIFICATION Part 3 Introdudction 00:02:00 Stress Management The Difference Between Stress & Anxiety 00:03:00 Short vs Long Term Stress 00:02:00 The Effects Of Stress & Anxiety On Your Body 00:05:00 Proven Stress Management Strategies & Techniques 00:03:00 The Benefits Of Calm Breathing 00:03:00 Breathing Exercise #1 - Three Part Breath 00:02:00 Breathing Exercise #2 - Bellows Breath 00:02:00 Progressive Muscle Relaxation 00:03:00 Complete PMR Routine 00:07:00 Sleep Sleeping For A Longer Life 00:04:00 Tips To Fall Asleep Faster 00:03:00 Supplements For Improved Sleep 00:02:00 Emotional Self Care What Is Emotional Self Care 00:05:00 How To Accept Yourself 00:03:00 Taming Your Inner Critic 00:06:00 Getting A Different Perspecitive 00:04:00 Acknowledging Your Qualities 00:03:00 Getting Rid Of Time Consuming Commitments 00:06:00 How To Say 'No' To Others 00:05:00 Resources Resources - Life Coach Training - Guideline For The Startup 00:00:00

The human resources management is the department assigned to ensure the welfare of employees including their wages, compensation, and benefits. It is best to implement an efficient payroll management to make sure employees could receive their salary on time. Developing payroll management skills is possible after taking this Level 3 Diploma in HR and Payroll Management. It is designed to help HR managers and staff to learn the different payroll systems and choose the best system perfect for the needs of the department. Course Highlights The price is for the whole course including final exam - no hidden fees Accredited Certificate upon successful completion at an additional cost Efficient exam system with instant results Track progress within own personal learning portal 24/7 customer support via live chat Level 3 Diploma in HR and Payroll Management has been given CPD accreditation and is one of the best-selling courses available to students worldwide. This valuable course is suitable for anyone interested in working in this sector or who simply wants to learn more about the topic. If you're an individual looking to excel within this field then Level 3 Diploma in HR and Payroll Management is for you. We've taken this comprehensive course and broken it down into several manageable modules which we believe will assist you to easily grasp each concept - from the fundamental to the most advanced aspects of the course. It really is a sure pathway to success. All our courses offer 12 months access and are designed to be studied at your own pace so you can take as much or as little time as you need to complete and gain the full CPD accredited qualification. And, there are no hidden fees or exam charges. We pride ourselves on having friendly and experienced instructors who provide full weekday support and are ready to help with any of your queries. So, if you need help, just drop them an email and await a speedy response. Furthermore, you can check the validity of your qualification and verify your certification on our website at any time. So, why not improve your chances of gaining professional skills and better earning potential. Assessment and Certification At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. After you have successfully passed the final exam, you will be able to order an Accredited Certificate of Achievement at an additional cost of £19 for a PDF copy and £29 for an original print copy sent to you by post or for both £39. Career Path Not only does our CPD and CiQ accredited course look good on your CV, setting you apart from the competition, it can be used as a stepping stone to greater things. Further advance your learning, launch a new career or reinvigorate an existing one. On successful completion of this course, you have the potential to achieve an estimated salary of £35,000. The sky really is the limit. Course Curriculum HR and Payroll Management - Updated Version Human Resource Management Introduction to Human Resources 00:16:00 Employee Recruitment and Selection Procedure 00:35:00 Employee Training and Development Process 00:19:00 Performance Appraisal Management 00:19:00 Employee Relations 00:15:00 Ensuring Health and Safety at the Workplace 00:16:00 Motivation and Counselling 00:19:00 Employee Termination 00:15:00 Employer Records and Statistics 00:11:00 Essential UK Employment Law 00:35:00 Payroll Management Module 1: Payroll Basics 00:10:00 Module 2: Company Settings 00:08:00 Module 3: Legislation Settings 00:07:00 Module 4: Pension Scheme Basics 00:06:00 Module 5: Pay Elements 00:14:00 Module 6: The Processing Date 00:07:00 Module 7: Adding Existing Employees 00:08:00 Module 8: Adding New Employees 00:12:00 Module 9: Payroll Processing Basics 00:11:00 Module 10: Entering Payments 00:12:00 Module 11: Pre-Update Reports 00:09:00 Module 12: Updating Records 00:09:00 Module 13: e-Submissions Basics 00:09:00 Module 14: Process Payroll (November) 00:11:00 Module 15: Employee Records and Reports 00:13:00 Module 16: Editing Employee Records 00:07:00 Module 17: Process Payroll (December) 00:12:00 Module 18: Resetting Payments 00:05:00 Module 19: Quick SSP 00:10:00 Module 20: An Employee Leaves 00:13:00 Module 21: Final Payroll Run 00:07:00 Module 22: Reports and Historical Data 00:08:00 Module 23: Year-End Procedures 00:09:00 HR and Payroll Management - Old Version HR & Leadership Leader and HR Management 00:30:00 Commitment and HR Management 01:00:00 Team Management 00:30:00 Build A Mastermind Group 02:00:00 People Recognition in HR Management 00:30:00 Performance, Goals and Management 00:30:00 Think Outside The Box 00:30:00 Be Passionate about Your Work 00:30:00 The Importance Of A Good Team Leader 00:30:00 Human Resource Management Module One - Getting Started 00:30:00 Module Two - Human Resources Today 01:00:00 Module Three - Recruiting and Interviewing 01:00:00 Module Four - Retention and Orientation 01:00:00 Module Five - Following Up With New Employees 01:00:00 Module Six - Workplace Health & Safety 01:00:00 Module Seven - Workplace Bullying, Harassment, and Violence 01:00:00 Module Eight - Workplace Wellness 01:00:00 Module Nine - Providing Feedback to Employees 01:00:00 Module Ten - Disciplining Employees 01:00:00 Module Eleven - Terminating Employees 01:00:00 Module Twelve - Wrapping Up 00:30:00 Managing Payroll What Is Payroll? 00:30:00 Principles Of Payroll Systems 01:00:00 Confidentiality And Security Of Information 00:30:00 Effective Payroll Processing 01:00:00 Increasing Payroll Efficiency 01:00:00 Risk Management in Payroll 00:30:00 Time Management 00:30:00 Personnel Filing 00:30:00 When Workers Leave Employment 01:00:00 Hiring Employees 00:30:00 Paye and Payroll for Employers 01:00:00 Tell HMRC about a New Employee 01:00:00 Net And Gross Pay 00:30:00 Statutory Sick Pay 00:30:00 Minimum Wage for Different types of Work 01:00:00 Mock Exam Mock Exam - Level 3 Diploma in HR and Payroll Management 00:30:00 Final Exam Final Exam - Level 3 Diploma in HR and Payroll Management 00:30:00

Navigating the ever-evolving world of retail requires more than just a keen eye for sales — it demands sharp management skills and a solid understanding of customer behaviour, stock control, and team leadership. This Retail Management Training Course is designed to equip you with the knowledge and confidence to manage retail operations smoothly and efficiently. Whether you’re aiming to climb the career ladder or enhance your current role, this course delivers essential insights that align perfectly with today’s fast-paced retail environment. Throughout the course, you’ll explore key areas such as inventory management, customer service strategies, merchandising, and effective communication — all delivered in a clear, engaging manner. The content is tailored for flexibility, allowing you to learn at your own pace without the need to attend in person. Ideal for aspiring managers or those seeking a refresher, this training combines professional depth with an approachable style, helping you sharpen your management abilities and keep customers coming back for more. Who said retail management can’t be both serious and a bit fun? Learning Outcomes: Develop an understanding of the principles and practices of retail management Learn effective strategies for situational analysis and store location selection Develop analytical skills for merchandise management and pricing Learn effective methods for customer communication and intelligence acquisition Understand how to create and implement a successful retail strategy The "Retail Management Training" course is designed to provide a comprehensive understanding of the principles and practices that underpin successful retail management. Through engaging modules and real-world case studies, learners will gain insights into the basics of retail management, advanced strategies for merchandise management and customer communication, effective methods for situational analysis and store location selection, and how to create and implement a successful retail strategy. By the end of the course, learners will be equipped with the knowledge and skills to succeed in the dynamic and competitive world of retail. Whether you're a retail professional seeking to enhance your skills or an entrepreneur looking to launch a retail venture, this course is a must-have for anyone interested in the retail industry. Retail Management Training Course Curriculum Section 01: Introduction Section 02: Getting Started Section 03: Strategic Retail Management Section 04: Situational Ethos Analysis Section 05: Customer Targetting and Intelligence Acquisition Section 06: Store Location Selection Section 07: Retail Business Management Section 08: Merchandise Management and Pricing Ethos Section 09: Customer Communication Section 10: Retail Strategy 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? Retail professionals seeking to enhance their skills Entrepreneurs looking to launch a retail venture Business students interested in the retail industry Marketing professionals interested in the retail industry Anyone interested in gaining a comprehensive understanding of retail management Career path Retail Manager: £18,000 - £45,000 per year Merchandising Manager: £25,000 - £50,000 per year Operations Manager: £20,000 - £60,000 per year Business Development Manager: £25,000 - £70,000 per year Marketing Manager: £30,000 - £80,000 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.

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.

Market research is the compass that guides successful businesses through the ever-changing landscape of consumer preferences and market trends. This course invites you to delve into the art and science of gathering, analysing, and interpreting data to make informed decisions that matter. By focusing on case studies, it offers a clear window into how market research shapes strategies across various industries — all from the comfort of your own space, with no need to attend in person. Designed for those who appreciate a sharp, practical approach, the course blends theory with real examples, helping you understand how data insights translate into meaningful outcomes. Whether you're an aspiring analyst or a professional seeking to sharpen your acumen, this course will enhance your ability to spot opportunities and avoid costly mistakes — all while keeping the tone light, professional, and refreshingly straightforward. Learning Outcomes: Develop an understanding of the principles and practices of market research Learn to conduct effective PESTLE and SWOT analysis Develop analytical skills for conducting market analysis and segmentation Learn to evaluate market potential and consumer needs Be able to create comprehensive market research reports The "Learn with Case Study - Market Research" course is designed to provide a comprehensive understanding of the principles and practices that underpin successful market research. Through engaging case studies and informative modules, learners will gain insights into the basics of market research, advanced techniques for conducting PESTLE and SWOT analysis, effective strategies for assessing consumer needs and preferences, and methods for evaluating market potential and determining the best course of action. By the end of the course, learners will be equipped with the knowledge and skills to create comprehensive market research reports that drive business growth and success. Whether you're an entrepreneur looking to launch a new product or a seasoned marketing professional seeking to enhance your research skills, this course is a must-have for anyone interested in the world of marketing. Learn with Case Study - Market Research Course Curriculum Section 01: Introduction Intro to Case Study 2 Section 02: Case Study Definition Company Overview Company Vision and Mission Statement IRIC Mileposts Company Product Portfolio Company Financial Performance Objective Key Observations Market Research Strategy Pre Market Research Ethos Geo Assessment Profile Market Research Audit PESTLE Analysis Market Analysis Market Segmentation Market Segmentation Continue SWOT Analysis Market REsearch Architecture Market Research Process Market Research Process Continue Report Structure and Course Contents Evaluation and Course Correction Objective Realization and Impact Analysis 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? Entrepreneurs looking to launch a new product Marketing professionals seeking to enhance their research skills Business students interested in the field of marketing Sales professionals interested in market research Anyone interested in gaining a comprehensive understanding of market research Career path Market Research Analyst: £20,000 - £40,000 per year Marketing Manager: £30,000 - £80,000 per year Sales Manager: £25,000 - £70,000 per year Product Manager: £30,000 - £75,000 per year Business Development Manager: £25,000 - £70,000 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.

If guessing was a business strategy, most brands would be out of business. That’s where market research comes in — and this course shows you how it's done using case studies that add more insight than a pile of charts ever could. You’ll explore the purpose, process, and planning behind proper market research, guided by examples that show exactly what works, what doesn’t, and what was probably a bad idea to begin with. The course is designed for those who want to understand how real decisions are made through structured research methods — from gathering data to interpreting consumer behaviour. There’s no need for clipboards or street interviews here; it’s all online and built to help you connect the dots between strategy and customer insight. With engaging material, clear explanations, and a touch of dry wit, this isn’t just another dull data course — it’s an inside look at how smart research can steer smarter thinking. Learning Outcomes: Develop an understanding of the principles and practices of market research Learn to conduct effective PESTLE and SWOT analysis Develop analytical skills for conducting market analysis and segmentation Learn to evaluate market potential and consumer needs Be able to create comprehensive market research reports The "Learn with Case Study - Market Research" course is designed to provide a comprehensive understanding of the principles and practices that underpin successful market research. Through engaging case studies and informative modules, learners will gain insights into the basics of market research, advanced techniques for conducting PESTLE and SWOT analysis, effective strategies for assessing consumer needs and preferences, and methods for evaluating market potential and determining the best course of action. By the end of the course, learners will be equipped with the knowledge and skills to create comprehensive market research reports that drive business growth and success. Whether you're an entrepreneur looking to launch a new product or a seasoned marketing professional seeking to enhance your research skills, this course is a must-have for anyone interested in the world of marketing. ⊱⊱ Learn with Case Study - Market Research Course Curriculum Section 01: Introduction Intro to Case Study 2 Section 02: Case Study Definition Company Overview Company Vision and Mission Statement IRIC Mileposts Company Product Portfolio Company Financial Performance Objective Key Observations Market Research Strategy Pre Market Research Ethos Geo Assessment Profile Market Research Audit PESTLE Analysis Market Analysis Market Segmentation Market Segmentation Continue SWOT Analysis Market REsearch Architecture Market Research Process Market Research Process Continue Report Structure and Course Contents Evaluation and Course Correction Objective Realization and Impact Analysis 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 £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? Entrepreneurs looking to launch a new product Marketing professionals seeking to enhance their research skills Business students interested in the field of marketing Sales professionals interested in market research Anyone interested in gaining a comprehensive understanding of market research Career path Market Research Analyst: £20,000 - £40,000 per year Marketing Manager: £30,000 - £80,000 per year Sales Manager: £25,000 - £70,000 per year Product Manager: £30,000 - £75,000 per year Business Development Manager: £25,000 - £70,000 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.

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Certificate of Achievement Certificate of Completion - Digital / PDF Certificate After completing the Data Science & Machine Learning with Python course, you can order your CPD Accredited Digital / PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? 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Career Path The certification and skills you get from this Data Science & Machine Learning with Python Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:04:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using NumPy 00:04:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:06:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Data Science & Machine Learning with Python 00:00:00