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12876 Courses in Cardiff delivered Online

Bipolar Disorder Awareness at QLS Level 4

By Imperial Academy

Level 4 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access

Bipolar Disorder Awareness at QLS Level 4
Delivered Online On Demand
£12

Animal Science Training - QLS Level 4

By Imperial Academy

Level 4 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access

Animal Science Training - QLS Level 4
Delivered Online On Demand
£12

Agricultural Science Training - QLS Level 5

By Imperial Academy

Level 5 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access

Agricultural Science Training - QLS Level 5
Delivered Online On Demand
£12

Join our Microsoft Excel course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Microsoft Excel course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Microsoft Excel course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! You will Learn The Following Things: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Microsoft Excel. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the Microsoft Excel course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? This Microsoft Excel is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  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 There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Microsoft Excel 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 course. Career Path The certification and skills you get from this Microsoft Excel 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 Unit 01: Excel from A-Z Course Introduction Excel from A-Z Course Intro 00:03:00 Excel Job Opportunities 00:03:00 Excel Job Types 00:04:00 Microsoft Excel Marketplace 00:04:00 What is Microsoft Excel? 00:04:00 Who is This Course For? 00:03:00 Unit 02: Getting Started With Excel Finding & Opening Excel 00:01:00 Excel's Start Screen 00:03:00 Explaining the Excel Interface 00:03:00 Excel Interface Continued 00:01:00 Excel Workbook vs. Excel Worksheet 00:02:00 Saving an Excel Document 00:04:00 Customizing the Quick Access Toolbar 00:02:00 Customizing the Excel Ribbon 00:03:00 Excel Shortcut Keys 00:02:00 Unit 03: Values, Referencing and Formulas Creating Excel Labels 00:03:00 Entering Numeric Values in Excel 00:03:00 Formatting Date Values in Excel 00:05:00 Building Basic Formulas in Excel 00:05:00 Order of Operations 00:06:00 Relative vs. Absolute Cell References 00:07:00 Unit 04: Intro to Excel Functions Excel Functions Explained 00:03:00 The SUM() Function 00:08:00 The MIN() & MAX() Function 00:04:00 The AVERAGE() Function 00:02:00 COUNT() Functions 00:05:00 Unit 05: Adjusting Excel Worksheets Moving & Copying Data 00:07:00 Insert & Delete Rows and Columns 00:05:00 Adjusting the Width and Height of Cells 00:05:00 Hiding and Unhiding Excel Rows and Columns 00:04:00 Renaming, Moving & Deleting Excel Worksheets 00:05:00 Adding Protection to Specific Cells 00:04:00 Protecting the Structure of a Workbook 00:02:00 Adding a Workbook Password to Open File 00:02:00 Unit 06: Visually Pleasing Cell Formatting Formatting Fonts and Cell Background Color 00:05:00 Adding Cell Borders 00:05:00 Formatting Data Appropriately 00:05:00 The Magic behind Excel's Format Painter 00:03:00 Creating Styles for Formatting Efficiency 00:06:00 Merging Cells for a Cleaner Look 00:03:00 The Power of Conditional Formatting 00:06:00 Unit 07: How to Insert Images and Shapes! Grab User's Attention using Illustrations 00:09:00 Customizing Icons 00:05:00 Create Compelling Graphics with SmartArt 00:06:00 Unit 08: Visualize Data with Charts The Commonly Used Column Chart 00:03:00 Changing the Chart Design.mp4 00:02:00 Formatting Elements of a Chart 00:06:00 Modifying the Data, Type & Location of a Chart 00:06:00 Unit 09: Excel's Printing Options Print Preview Options 00:04:00 Excel's Page Layout View 00:07:00 Printing a Specific Range of Cells 00:03:00 Converting Spreadsheets to PDF Files 00:02:00 Unit 10: Benefits of Using Excel Templates Why Create an Excel Template 00:01:00 How to Create an Excel Template 00:05:00 Unit 11: Working with Excel Datasets How to Prepare Data for Analysis 00:04:00 How to Sort Data in Excel 00:03:00 Multi-Level Sorting 00:03:00 Custom Sorting Datasets in Excel 00:02:00 Applying Filters to Datasets 00:05:00 Creating Subtotals within a Dataset 00:06:00 Converting Datasets into Tables 00:06:00 Little Slice of Pie Charts 00:05:00 Finding & Removing Duplicate Values 00:07:00 Unit 12: Excel Database Functions The SUMIF() Function 00:09:00 The DSUM() Function 00:08:00 The DSUM() Function Cont. 00:07:00 The SUBTOTAL() Function 00:06:00 Unit 13: Excel Data Validation What is Excel Data Validation? 00:02:00 Creating a Drop Down List with Data Validation 00:07:00 Different Types of Excel Data Validation 00:06:00 Adding Custom Alerts to Data Validation 00:07:00 Creating a Dynamic Drop Down List 00:03:00 Complex Validation: Dependent Drop Down List! 00:09:00 Unit 14: Excel PivotTables Creating an Excel Pivot Table 00:06:00 Modifying Excel PivotTables 00:06:00 Grouping & Filtering PivotTable Data 00:06:00 Drilling Down into PivotTable Data 00:02:00 Creating Pivot Charts & Utilizing Slicers 00:08:00 Unit 15: Excel's PowerPivot Add-In What is PowerPivot? 00:04:00 Activating the Excel PowerPivot Add-In 00:02:00 Creating Relationships between Data Tables.mp4 00:06:00 Using Data Models to Create PivotTables 00:05:00 How to Create PowerPivot KPI's 00:08:00 Unit 16: Excel's Conditional Functions Excels IF Function 00:05:00 IF() Function with AND() Criteria 00:05:00 IF() Function with OR() Criteria 00:05:00 Nesting Multiple IF() Functions 00:07:00 The COUNTIF() Function 00:04:00 Key Benefits of Named Ranges 00:04:00 Unit 17: Excel's Lookup Function VLOOKUP() Function 00:09:00 The Beauty of Excel's IFERROR() Function 00:04:00 HLOOKUP() Function 00:06:00 The INDEX Function 00:05:00 MATCH() Function 00:05:00 INDEX() and MATCH() Combined 00:05:00 Two-Way Lookup with INDEX() and MATCH() 00:04:00 Unit 18: Text Based Functions in Excel LEFT(), RIGHT() and MID() Function 00:07:00 Extracting Specific Text using LEN() & SEARCH() 00:13:00 Combining Text with CONCATENATE() 00:06:00 Quick Tips & Other Text Based Functions 00:06:00 Unit 19: Auditing Formulas and Views in Excel Tracing Precedents & Dependents in Formulas 00:04:00 Showing Formulas 00:02:00 Grouping Data 00:03:00 3D Referencing in Formulas 00:05:00 Utilizing the Watch Window in Excel 00:03:00 How to Freeze Panes in Excel 00:03:00 Unit 20: Excel's 'what If?' Tools Excel's Scenario Manager Tool 00:06:00 Goal Seek in Excel 00:06:00 Compare Results with Excel Data Tables 00:04:00 Solver Tool 00:11:00 Unit 21: Welcome to Excel VBA The Power Behind Excel VBA 00:03:00 A Look Inside the Visual Basic Editor (VBE) 00:04:00 Recording a Macro 00:09:00 Saving & Opening a Macro-Enabled Workbook 00:02:00 Unit 22: The VBA Language Modules and Procedures 00:07:00 Objects, Methods and Properties 00:06:00 Excel VBA Variables 00:05:00 Unit 23: Writing VBA Code Referencing a Range 00:13:00 InputBox & MsgBox 00:06:00 Using Variables in VBA Code 00:05:00 If Then Else Statement 00:10:00 Worksheet Functions inside VBA 00:08:00 Creating User Defined Functions 00:09:00 User Defined Functions within VBA Scripts 00:06:00 Unit 24: Important VBA Tools and Logic Find Last Row of Data 00:06:00 Find Last Column of Data 00:03:00 With Statement 00:05:00 Debugging & Error Handling 00:07:00 Debugging & Error Handling Cont. 00:07:00 Unit 25: Excel VBA Loop For Next Loop 00:09:00 Do Until Loop 00:06:00 For Each Loop 00:04:00 Unit 26: Triggering Macros Assigning Macros to Shapes 00:04:00 Form Controls vs ActiveX Controls 00:08:00 Worksheet Events 00:04:00 Workbook Events 00:03:00 Fun with VBA Events! 00:07:00 Unit 27: Excel User Forms Creating an Excel UserForm 00:03:00 Adding Controls to UserForms 00:10:00 How to Show an UserForm 00:03:00 Passing TextBox Values to Desired Cells 00:07:00 Passing Option Buttons to Desired Cells 00:07:00 UserForm ComboBoxes 00:08:00 Clearing Values from UserForm Controls 00:03:00 How to Close an UserForm 00:02:00 UserForms and Protected Sheets 00:05:00 Unit 28: Starting a Career in Excel Creating an Excel Resume 00:05:00 Getting Started with Freelancing 00:06:00 How to Become an Excel Freelancer 00:05:00 Top Freelance Websites 00:05:00 How to Get Your First Client 00:08:00 Personal Branding 00:07:00 Networking Do's and Don'ts 00:04:00 Importance of Having a Website 00:04:00 Resources Resources - Microsoft Excel 00:00:00

Microsoft Excel
Delivered Online On Demand13 hours 2 minutes
£11

Life Coach Masterclass

By IOMH - Institute of Mental Health

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

Life Coach Masterclass
Delivered Online On Demand10 hours 10 minutes
£11

Plumbing Sanitary System Training

By IOMH - Institute of Mental Health

Plumbing and air conditioning are essential services for every home and business. The UK plumbing and air conditioning industry is worth over £50 billion and employs over 500,000 people. There is a high demand for skilled plumbers and air conditioning engineers, and the average salary for these roles is above the national average. In the heart of every building lies a complex system of pipes, drains, vents, and heating units. Become an indispensable part of this foundational architecture with our comprehensive Plumber course that offers training in Plumbing as well as Heating, Ventilation, and Air Conditioning (HVAC). According to the Office for National Statistics, the construction industry in the UK has been steadily growing, creating a heightened demand for skilled plumbers and HVAC technicians. Unlock the gateway to a resilient, well-paid career and gain mastery over everything from the UK plumbing standards to advanced domestic hot water system installations. Take your chance to learn from a meticulously designed curriculum covering all aspects of modern plumbing and HVAC systems. You will Learn The Following Things: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Plumbing Sanitary System Training. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement After completing the Plumbing Sanitary System Training course, you will receive your CPD-accredited Digital/PDF Certificate for £5.99. To get the hardcopy certificate for £12.99, you must also pay the shipping charge of just £3.99 (UK) and £10.99 (International). Who Is This Course for? This Plumbing Sanitary System Training is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  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 There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Plumbing Sanitary System Training 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 course. Career Path The certification and skills you get from this Plumbing Sanitary System Training 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 Plumbing Sanitary System Training Welcome to the Course 00:01:00 Course Content 00:07:00 Introduction 00:02:00 Sewage Types 00:03:00 Sewage Systems 00:07:00 Important Terms 00:01:00 Drainage Trap 00:03:00 Drainage Branch 00:01:00 Building Drain 00:02:00 Building Sewer 00:01:00 Sanitary Drainage Pipes 00:03:00 PVC Pipes 00:02:00 HDPE Pipes 00:01:00 Pipes Connection 00:02:00 Pipes Test 00:01:00 Pipes Support 00:01:00 Pipes Slope 00:04:00 Pipes Sizing Part 1 00:04:00 Pipes Sizing Part 2 00:05:00 Important Notes 00:03:00 Hydraulic Jump 00:04:00 Cleanouts 00:05:00 Floor Drains 00:04:00 Trench Drain 00:01:00 Oil Interceptor 00:01:00 Gully Trap 00:04:00 Grease Interceptor 00:04:00 Inspection Chamber & Manholes 00:02:00 Inspection Chamber & Manholes Locations 00:02:00 Inspection Chamber & Manholes Dimensions 00:03:00 Inspection Chamber & Manholes Specifications 00:03:00 Inspection Chamber & Manholes Distances 00:40:00 Slow Down Chamber 00:03:00 Sump Pit & Sump Pump 00:03:00 Sump Pump Flow Rate Calculation 00:03:00 Sump Pit Volume Calculation 00:03:00 Sump Pump Head Calculation 00:02:00 Septic & Holding Tank 00:06:00 Septic & Holding Tank Volume 00:03:00 Septic & Holding Tank Notes 00:02:00 Thank You 00:01:00

Plumbing Sanitary System Training
Delivered Online On Demand2 hours 33 minutes
£11

Data Science & Machine Learning with Python

By IOMH - Institute of Mental Health

Overview of Data Science & Machine Learning with Python Join our Data Science & Machine Learning with Python course and discover your hidden skills, setting you on a path to success in this area. Get ready to improve your skills and achieve your biggest goals. The Data Science & Machine Learning with Python course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Data Science & Machine Learning with Python course is designed to teach you the important stuff quickly and well, helping you to get off to a great start in the field. So, what are you looking for? Enrol now! This Data Science & Machine Learning with Python Course will help you to learn: Learn strategies to boost your workplace efficiency. Hone your skills to help you advance your career. Acquire a comprehensive understanding of various topics and tips. Learn in-demand skills that are in high demand among UK employers This course covers the topic you must know to stand against the tough competition. The future is truly yours to seize with this Data Science & Machine Learning with Python. Enrol today and complete the course to achieve a certificate that can change your career forever. Details Perks of Learning with IOMH One-To-One Support from a Dedicated Tutor Throughout Your Course. Study Online - Whenever and Wherever You Want. Instant Digital/ PDF Certificate. 100% Money Back Guarantee. 12 Months Access. Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. 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? This Data Science & Machine Learning with Python is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  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 You don't need any educational qualification or experience to enrol in the Data Science & Machine Learning with Python 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 course. 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

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4.7(160)

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