5966 Flexibility courses delivered Online

Discover the rewarding field of Counselling and Psychology with our Diploma Course, designed for those who want to help others overcome their difficulties. Join us to begin your journey towards a fulfilling career as a Psychologist, Counsellor, Careers Counsellor, Drug and Alcohol Counsellor, or Family and Marriage Counsellor. Get your CPD certificate upon completion and be ready to make a positive difference in people's lives.

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

Phlebotomy: Phlebotomy Online Training Expose Your Career in Healthcare, our unique Phlebotomy: Phlebotomy course, is now available! Do you want to start a career in the expanding healthcare sector as a phlebotomy specialist? Do you have a burning desire to make a real difference in the world through phlebotomy? Look nowhere else! Our thorough Phlebotomy: Phlebotomy course is intended to provide you the knowledge and abilities you need to develop into a proficient phlebotomist. The phlebotomy course is the best option for students who want the flexibility to study when and how they want. To educate you everything you need to know about the field of phlebotomy, a professional development team created a Phlebotomy course. The Phlebotomy course will give you a thorough overview of the Phlebotomy: Phlebotomy industry as well as the knowledge and abilities needed to succeed as a phlebotomist. From the Phlebotomy: Phlebotomy course, you will learn a number of practical skills. Such as how to use venipuncture equipment, accurately insert a needle, discard used needles to prevent cross-contamination, record findings, and analyse blood samples. This Phlebotomy: Phlebotomy course also covers anatomy and physiology of veins as well as the procedures to be used for venipuncture. The Phlebotomy: Phlebotomy course is created to allow the learner to acquire the necessary abilities to properly perform venipuncture techniques ranging from basic to advanced while minimising preanalytical mistakes. Don't miss out on this incredible opportunity to launch your career in the healthcare industry as a Phlebotomy: Phlebotomy expert! Join up right away for the Phlebotomy course to realise your full potential! Main Course: Level 3 Phlebotomist Training Free Courses are including with this Phlebotomist: Phlebotomist Course Along with The Phlebotomist Course, We Offer a free Medical Secretary & Receptionist Course Along with The Phlebotomist Course, We Offer a free Medical Terminology Course Special Offers of this Phlebotomy: Phlebotomy Course This Phlebotomy: Phlebotomy Course includes a FREE PDF Certificate. Lifetime access to this Phlebotomy: Phlebotomy Course Instant access to this Phlebotomy: Phlebotomy Course Get FREE Tutor Support to this Phlebotomy: Phlebotomy Course Phlebotomy: Phlebotomy Online Training The professionally designed Phlebotomy: Phlebotomy Training course will teach you everything you need to know about the field of phlebotomy. In-depth information about the phlebotomy field as well as the knowledge and abilities needed to succeed as a phlebotomist will be given to you in the Phlebotomy: Phlebotomy Training course. Phlebotomy: Phlebotomy Online Training Everyone may enrol in the Phlebotomy: Phlebotomy course. Individuals who are employed in the healthcare industry, nurses, medical assistants, and laboratory techs, pre-medicine students and medical students are the main target of this Phlebotomy course. Requirements Phlebotomist: Phlebotomy Online Training To enrol in this Phlebotomy: Phlebotomy Course, students must fulfil the following requirements. To join in our Phlebotomy: Phlebotomy Course, you must have a strong command of the English language. To successfully complete our Phlebotomy: Phlebotomy Course, you must be vivacious and self driven. To complete our Phlebotomy: Phlebotomy Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Phlebotomy: Phlebotomy Course. Career path Phlebotomist: Phlebotomy Online Training You will be able to find a well-paying career if you complete the Phlebotomy: Phlebotomy Course. Following completion of the Phlebotomy: Phlebotomy course, you can pursue the following career choices, each with an estimated annual salary: Phlebotomist: £21,363 Healthcare Assistant: £23,526 Lab Technician: £21,737 Phlebotomy Technician: £26,170

Animal Science: Animal Science Course Online Introducing Our Animal Science Course: Unlocking the Secrets of the Animal Kingdom! Are you fascinated by the wonders of the animal kingdom? Do you have a burning desire to understand the intricate workings of various species, their behavior, and the animal science: animal science behind their well-being? Look no further! Our comprehensive Animal Science: Animal Science Course is designed to satisfy your curiosity and provide you with a solid foundation in the field of animal sciences. Our Animal Science course curriculum has been meticulously designed by a team of experienced professionals in the field of animal science: animal science. The Animal Science : Animal Science course covers a wide range of topics, including animal anatomy, physiology, nutrition, genetics, reproduction, and behavior. The animal science: animal science industry offers a plethora of career opportunities. Our Animal Science : Animal Science course equips you with the knowledge and skills needed to pursue diverse career paths, including animal nutritionist, veterinary technician, livestock manager, wildlife biologist, animal behaviorist, and many more. Whether you aspire to work in agriculture, research, conservation, or animal welfare, our Animal Science: Animal Science course provides a solid foundation to kick-start your journey. We are committed to your success and ensure that you receive the assistance you need to excel in the Animal Science: Animal Science course. Our Animal Science: Animal Science Course offers flexibility, allowing you to study at your own pace and access course materials online. Whether you're a working professional or a student, you can conveniently fit the Animal Science: Animal Science Course into your daily routine. Main Course: Animal Science Course Free courses included with Animal Science: Animal Science Course Along with Animal Science Course you will get free Level 5 Animal Behaviour and Psychology Along with Animal Science Course you will get free Animal Nutrition Along with Animal Science Course you will get free Pet Nutrition Diploma Special Offers of this Animal Science: Animal Science Course: This Animal Science: Animal Science Course includes a FREE PDF Certificate Lifetime access to this Animal Science: Animal Science Course Instant access to this Animal Science: Animal Science Course 24/7 Support Available to this Animal Science: Animal Science Course Animal Science: Animal Science Course Online Animal welfare is a significant issue in the UK, with 94 percent of respondents agreeing that protecting the welfare of farm animals is crucial. The Level 5 Animal Science: Animal Science course offers students the opportunity to deepen their understanding beyond the basics. Through this course, learners can explore topics such as animal behavior, nutrition, breeding, health, and welfare. Enrolling in the Level 5 Animal Science: Animal Science Course can help learners enhance their knowledge in animal welfare and promote sustainable animal production. Who is this course for? Animal Science: Animal Science Course Online Our Animal Science: Animal Science Course is designed for individuals who have a passion for animals and a keen interest in understanding the science behind their biology, behavior, and well-being. This Animal Science: Animal Science course is suitable for: Students Professionals in Related Fields Animal Enthusiasts and Hobbyists Career Changers Requirements Animal Science: Animal Science Online To enrol in this Animal Science: Animal Science Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Animal Science: Animal Science Course. Be energetic and self-motivated to complete our Animal Science: Animal Science Course. Basic computer Skill is required to complete our Animal Science: Animal Science Course. If you want to enrol in our Animal Science: Animal Science Course you must be at least 15 years old. Career path Animal Science: Animal Science Online Those who desire to work in this industry will have a variety of career options thanks to Level 5 Animal Science. like as; Veterinary Technologist: £18,000 to £35,000 per year Wildlife Biologist: £20,000 to £35,000 per year Livestock Manager: £25,000 to £35,000 per year Veterinarian - £30,000 to £70,000 per year Animal Scientist - £25,000 to £50,000 per year

Unlock the secrets to effective dog training with our Dog Behaviour Diploma. Learn advanced techniques in dog communication, manage aggression, and address common behavioral issues to become a confident dog trainer.

Duration 3 Days 18 CPD hours This course is intended for This introductory-level course is for experienced DBAs who will be working with MongoDB. In order to gain the most from this course you should have: Prior practical experience in Database Administration Experience working with Linux and be comfortable working with command line Overview This skills-focused course is approximately 50% hands-on. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will explore: The MongoDB Basic Architecture and Installation MongoDB administration User Management MongoDB security Indexes Backup & Recovery High Availability / Replication Diagnostics & Troubleshooting MongoDB is fast becoming the database of choice for big data applications, being one of the most popular and widely implemented NoSQL databases. Its scalability, robustness, and flexibility have made it extremely popular among business enterprises who use it to implement a variety of activities including social communications, analytics, content management, archiving and other activities. This has led to an increased demand for MongoDB administrators who have the skills to handle cross functional duties. Geared for experienced DBAs, MongoDB for DBAs is a three-day hands-on course that explores the concepts, architecture and pitfalls of managing a MongoDB installation. This course is targeted to the DBA who is familiar with the concepts and tasks of working with a Relational database and is not responsible for a NoSQL MongoDB database. You will learn the critical aspects of MongoDB and use it to solve data management challenges. You will learn to manage MongoDB effectively by gaining expertise in MongoDB administration tools, syntax, MongoDB installations, configurations, security, troubleshooting, backup, scaling and many other features. The focus of this course is on practical skills and applying the DBA existing database knowledge to a MongoDB installation. Introduction to MongoDB Basic Architecture and Installation Differentiate database categories Learn MongoDB design goals List MongoDB tools Describe JSON and BSON Understanding the basic concepts of a Database Database categories: What is NoSQL? Why NoSQL? Benefit over RDBMS Types of NoSQL Database, and NoSQL vs. SQL Comparison, ACID & Base Property CAP Theorem, implementing NoSQL and what is MongoDB? Graph Database Overview of MongoDB, Design Goals for MongoDB Server and Database, MongoDB tools Understanding the following: Collection, Documents and Key/Values, etc., Introduction to JSON and BSON documents Environment setup (live Handson) and using various MongoDB tools available in the MongoDB Package MongoDB Administration Take database backup and restore MongoDB© Export and import data from/ to a MongoDB© instance Check server status and DB status Monitor various resource utilization of a mongod instance Understand various optimization strategies Administration concepts in MongoDB Monitoring issues related to Database Monitoring at Server, Database, Collection level, and various Monitoring tools related to MongoDB Database Profiling, Locks, Memory Usage, No of connections, page fault etc., Backup and Recovery Methods for MongoDB Export and Import of Data to and from MongoDB Run time configuration of MongoDB Production notes/ best practices Data Managements in MongoDB (Capped Collections/ Expired data from TTL), TTL Collection Features GridFS Memory-Mapped Files Journaling Mechanics Storage Engines Power of 2-Sized Allocations No Padding Allocation Strategy Diagnosing Performance Issues Optimization Strategies for MongoDB Configure Tag Sets for Replica Set. Optimize Query Performance Monitoring Strategies for MongoDB . MongoDB Utilities MongoDB Commands MongoDB Management Service (MMS) Data Backup Strategies in MongoDB Copying Underlying Data Files Backup with MongoDump Fsync and Lock MongoDB Ops Manager Backup Software Security Strategies in MongoDB Authentication Implementation in MongoDB . Authentication in a Replica set Authentication on Sharded Clusters Authorization End-to-End Auditing for Compliance User Management Create a User Administrator. Add a User to a Database. Create/Assign User a Role. Verify/Modify a User Access/Privileges. Change a User?s Password MongoDB Security Knowing security concepts in MongoDB Understand how Authentication and Authorisation works Security Introduction Security Concepts Indexes Index Introduction, Index Concepts, Index Types Index Properties Index Creation and Indexing Reference Introduction to Aggregation Aggregation Approach to Aggregation sort Order Pipeline Operators and Indexes Text Indexes Aggregate Pipeline Stages Text Search MapReduce Index Creation Aggregation Operations Index Creation on Replica Set Remove, Modify, and Rebuild Indexes Listing Indexes Measure Index Use Control Index Use Index Use Reporting Geospatial Indexes MongoDB?s Geospatial Query Operators GeoWith Operator Backup & Recovery Import and Export MongoDB Data Restore and recovery of MongoDB(Including point in time Recovery) Restore a Replica Set from MongoDB Backups Recover Data after an Unexpected Shutdown Backup and Restore with Filesystem Snapshots Back Up and Restore with MongoDB Tools Backup and Restore Sharded Clusters High Availability (Replication ) Understand the concept of Replication in MongoDB© ? Create a production like Replica Set Introduction to Replication (High Availability), Concepts around Replication What is Replica Set and Master Slave Replication? Type of Replication in MongoDB How to setup a replicated cluster & managing replica sets etc., Master-Slave Replication Replica Set in MongoDB Automatic Failover Replica Set Members Write Concern Write Concern Levels Write Concern for a Replica Set Modify Default Write Concern Read Preference Read Preference Modes Blocking for Replication Tag Set Configure Tag Sets for Replica set. Replica Set Deployment Strategies . Replica Set Deployment Patterns Oplog File Replication State and Local Database, Replication Administration Diagnostics & Troubleshooting Troubleshoot slow queries Diagnose connectivity problems Understand diagnostic tools Learn common production issues Learn fixes and solutions. Additional course details: Nexus Humans Introduction to MongoDB for DBAs (TTDB4680) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introduction to MongoDB for DBAs (TTDB4680) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Overview of Teacher Training Join our Teacher Training 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 Teacher Training course has everything you need to get a great start in this sector. Improving and moving forward is key to getting ahead personally. The Teacher Training 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 Teacher Training 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 Teacher 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 Certificate of Completion – Digital / PDF Certificate After completing the Teacher Training 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 Teacher 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 You don’t need any educational qualification or experience to enrol in the Teacher 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 Teacher 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.

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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