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The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. 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 00:08:00 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 Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 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 00:07:00 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 - Python Machine Learning & Data Science Fundamentals 00:00:00

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Spore Printing Storing Mushrooms Storing Mushrooms without Refrigerator Drying Mushrooms Freezing Mushrooms Module 12: Mushroom Business Starting the Business Marketing Mushrooms Customer Base Running the Business Assessment Process Once you have completed all the modules in the Substance Misuse Outreach Worker course, your skills and knowledge will be tested with an automated multiple-choice assessment. You will then receive instant results to let you know if you have successfully passed the Substance Misuse Outreach Worker course. You'll also be provided with an assignment for further assessing your newly-gained knowledge & skills which is optional to submit. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about this subject should take this course. This Mushroom Growing will help you grasp the basic concepts as well as develop a thorough understanding of the subject. All are welcome to take this course. 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Learn Python OOP language used diversely in applications like data science, game/web development, machine learning, and AI. This course provides all you need to master OOPs like classes, objects, data abstraction, methods, overloading, and inheritance. The course primarily aims to help you tackle complex programming and use OOP paradigms efficiently.

48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! Our Aim is Your Satisfaction! Offer Ends Soon; Hurry Up!! Are you looking to improve your current abilities or make a career move? Our unique Medical Sales Representative Course might help you get there! Expand your expertise with high-quality training - study the Medical Sales Representative and get an expertly designed, great value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the Medical Sales Representative online training course. This Medical Sales Representative online training course is accredited by CPD with 10 CPD points. Students can expect to complete this training course in around 08 hours. You'll also get dedicated expert assistance from us to answer any queries you may have while studying our course. 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Selling and Negotiating The Basics of Sales Negotiations Principles of Sales Negotiation Stages of Negotiating Negotiating Crimes Effective Sales Negotiators Module 17: Tips and Tricks for Sale Bad Advice on the Internet Using Email for Sales Closing Sales Ideal Selling Process Verifying Information Avoiding Common Mistakes Assessment Process Once you have completed all the modules in the Medical Sales Representative course, your skills and knowledge will be tested with an automated multiple-choice assessment. You will then receive instant results to let you know if you have successfully passed the course. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. 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Management in Industry The Roles of an Owner Characteristics of Management Functions of Management Understanding Organisational Structure The Impact of Organisation Design Module 02: Operations Management The Concept of Product: Goods & Services Operations Management Defined The Operation System The Operations Objectives Factors to Consider Role of Operations Manager Module 03: Introduction to Business Analysis Definition Context Core Concepts Importance Knowledge Area Key Terms Module 04: Strategic Analysis & Product Scope Introduction What Is Strategy? Strategy Development External Environment Analysis Porter's Five Forces Model Internal Environment Analysis Degree of Actual & Potential Competition Competitive Strategy Analysis Achieving & Sustaining Competitive Advantage Module 05: Project Management What is Project Management? Constraints of a Project Project Life Cycle Understanding the Project Life Cycle Module 06: Business Development & Succession Planning Definition Laying the Groundwork to Develop a Business SWOT Analysis Process of Development Succession Planning Understanding the value of Succession Planning Elements of a Succession Plan Module 07: Business Process Management Fundamentals The Vision Phase The Design Phase The Modelling Phase The Execution Phase The Monitoring Phase Module 08: Planning & Forecasting Operations Demand & Forecasting Things to Know About Forecasting Forecasting Methods Aggregate Planning Planning for Product Pricing Relationship of Cost Structure to Pricing Module 09: Performance Management Definition Components The Three Phases of Performance Management Kolb's Learning Cycle Goal-setting Theory of Motivation The Importance of Motivation Module 10: Management of Cash & Credit Cash Management The Need for Cash Cash Budget What Is Cashflow? Cash Flow Problems Remedies for Cash Flow Problems Credit Management Module 11: Managing Risk & Recovery Introduction Planning Identifying Risks Creating Risk Categories Identifying the Project Risks Investigating the Results of Risk Identification Module 12: Quality Management Introduction Quality Policy Determination Benefit/Cost Analysis Preparing for Quality Control Quality Assurance Applying Module 13: Communication Skills Effective Listening Skills Verbal Communication Non-Verbal Communication Communication Strategies Module 14: Business Environment Importance Types of Business Environment Social Responsibility of a Business Ethics Module 15: Organisational Skills Organising Daily Work Organising Workplace Organising Resources Organising Tools Cultivating Organisational Habits Module 16: Negotiation Techniques Basic Types of Negotiations Phases of Negotiation Negotiation Techniques Strategies for Identifying Mutual Gain Effective Negotiation Practise Negotiation on Behalf of Others Module 17: Human Resource Management HRM Models of HRM The Role of the HR Department Aims of HRM HRM & personnel management Module 18: Motivation & Counselling The process of motivation Types of motivation Motivation theory Motivation strategies Module 19: Customer Service Introduction The Power of Positive Thinking in Customer Service Types of Difficult Customers & How to Help them How to Deal with Difficult Customers Aspects of Phone Etiquette Using Proper Phone Language Eliminate Phone Distractions Inbound Calls Outbound Calls Handling Rude or Angry Callers Module 20: Time Management Activities Planning & Prioritising Overcoming Procrastination Crisis Handling Organising Workspace to Make Better Use of Time Planning of Meetings Module 21: Conflict Management Definition of Conflict Benefits of Confrontation Prevention of Conflicts Anger Management Conflict Resolution Techniques CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? 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Our entire course will help you to gain a position of respect and dignity over your competitors. The certificate enhances your CV and helps you find work in the field concerned. Certificates CPD Accredited Certificate Digital certificate - £10 CPD Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

About Course Elevate Your Copywriting Skills to Persuasive Excellence with Advanced Copywriting Master the art of captivation with language and create distinctive, memorable promotions that drive results. In the world of marketing, words are your most powerful tools. With the right words, you can capture attention, arouse interest, and ultimately persuade your audience to take action. But crafting truly compelling copy requires more than just basic grammar and syntax. It demands an understanding of human psychology, the nuances of language, and the ability to weave your message into a captivating narrative. In this comprehensive Advanced Copywriting course, you will delve into the depths of persuasive writing and discover the secrets to creating copy that truly resonates with your target audience. Led by experienced copywriter, author, and marketing coach Marcia Yudkin, you will gain mastery over 25 advanced copywriting techniques that will transform your writing from ordinary to extraordinary. What You'll Learn: Harness the Power of Creative Wording: Master techniques like unexpected metaphors, sensory detail, and strategic teasing to ignite curiosity, earn trust, and spark a desire for your offerings. Avoid Creative Pitfalls: Learn to identify and avoid missteps that can misdirect, baffle, or overwhelm your readers, ensuring your message is delivered with clarity and impact. Gain Real-World Insights: Analyze 239 examples from actual marketing copy, spanning high-tech, small-business, and consumer brands, to solidify your understanding of effective and ineffective approaches. Explore a Comprehensive Toolkit: Discover a wide range of advanced techniques, including:The art of exaggeration without overstepping into hypeUsing comedic elements to delight and engage your audienceEmploying musicality in language to evoke emotions and convey sensationsHarnessing the power of questions to pique curiosity and encourage engagementUnleashing the power of vivid description to stimulate imaginations and drive salesDifferentiating metaphors from mixed metaphors for clear and effective communicationUnderstanding the importance of audience awareness in crafting persuasive copyUtilizing curiosity to captivate readers beyond bullet pointsEmploying the 'dimensionalizing difference' to clarify complex ideasDiscovering an often-overlooked ingredient that boosts credibility and strengthens your pitchRevitalizing predictable phrases with fresh perspectivesUnderstanding the power of twos and threes in specific techniquesRecognizing and harnessing the power of contrastApplying criteria for refining and polishing your final drafts Why This Course is Different: Plain English Explanations: Unlike other courses that rely on obscure terminology, Advanced Copywriting breaks down complex concepts into easy-to-understand explanations, ensuring you grasp the essence of each technique. Thorough Coverage: Rather than focusing on a few select techniques, this course delves into a comprehensive range of 25 advanced copywriting methods, providing you with a well-rounded arsenal of persuasive writing tools. Real-World Examples: Instead of relying on literary quotes, Advanced Copywriting draws from actual marketing copy, providing you with practical examples of how these techniques are applied in real-world scenarios. Unparalleled Depth: With over 200 short passages illustrating effective and ineffective copywriting practices, you'll gain a deep understanding of how to apply these techniques successfully. Who Should Enroll: Aspiring Copywriters: Elevate your copywriting skills from beginner to expert and learn the art of crafting compelling, persuasive copy that drives results. Seasoned Copywriters: Expand your repertoire of copywriting techniques and refine your skills to create even more impactful marketing materials. Marketers: Gain a deeper understanding of the power of words and how to effectively communicate your brand's message to your target audience. Business Owners: Learn how to create high-converting marketing materials that attract customers, generate leads, and boost sales. Enroll Today and Transform Your Copywriting Skills: Elevate your copywriting skills to new heights and become a master of persuasive writing. With Advanced Copywriting, you'll gain the knowledge and tools necessary to create captivating copy that resonates with your audience and drives results for your business. What Will You Learn? Understand how to use words creatively to attract and persuade customers Know 25 different word crafting techniques to attract attention, explain and trigger sales Get plenty of practice recognizing and assessing attempted creative word uses Have a library of 200+ vivid, real-world business examples to refer to in the future Course Content Introduction Course Preview Creative Techniques: Surprise Introduction Unexpected, Vivid Words Exaggeration Freshened Cliché Foreign Spice Puns Kicker Creative Techniques: Richness Adding Emotion Adding Sensory Language Adding Detail Comparison Metaphor Contrast Cultural References Authority Creative Techniques: Structure and Sound Repetition Parallelism Alliteration Sound Rhyming Triads Questions Creative Techniques: Content Strategies Scenario Anecdotes and Stories Teasing Naming Dangers to Avoid Overreach Huh? Tired Moves Refining Your Creation Word Order and Sentence Variety Verbs and Pronouns Length Vague Points and Hedges Tone Let's Review Test #1 Test #2 Conclusion Over and Out A course by Marcia Yudkin Marketing Coach, Introvert Advocate RequirementsNo prerequisites. Best for anyone who truly wants to succeed as a copywriter. Audience Aspiring copywriters ready to go beyond the basics Business owners or marketers who supervise copywriters Consumers who want to understand techniques in the marketing they consume Audience Aspiring copywriters ready to go beyond the basics Business owners or marketers who supervise copywriters Consumers who want to understand techniques in the marketing they consume

This course offers everything you need to become a React developer, from basic to advanced concepts. The course delves deep into custom hooks, Tailwind CSS, React Router, Redux, Firebase, and React Skeleton. You will learn to build real-world apps with React (eCommerce, Movie Informer, Todolist Manager, Blog, and Word Counter).

Learn to code in C++, one of the oldest and most popular programming languages in the market. This course is created to quickly give you the knowledge and practice you really need to master C++ basics. We will cover core concepts such as variables, arrays, vectors, functions, scope, namespaces, loops, references, prototypes, and more.

This course is filled with hands-on and real-time examples to help you understand the concepts and implement them on the go. 75% of the IT industry is now heading toward this API for automating services. Learn everything you need to know about REST API automation, even if you have never worked before in this domain.

Venture into the realm of IT service excellence with the ITIL Practitioner course, where the chronicles of Information Technology Infrastructure Library (ITIL) come to life. This immersive educational experience is tailored to enlighten enthusiasts on the intricate tapestry of IT Service Management (ITSM) and the Continuous Service Improvement (CSI) model that stands at the heart of ITIL practices. From the foundational bricks of principles and themes, the course ascends to the strategic nuances of Organizational Change Management (OCM), ensuring participants grasp the transformative nature of IT services. The curriculum delves into the mechanisms that fortify communication as a catalyst for service enhancement. Learners are equipped with the proficiency to employ metrics and measurement as a compass for ITSM efficacy. As the narrative progresses, the course unravels the synthesis of CSI within the broader ITIL framework, beckoning participants to not just witness but also weave the future of IT services and their governance. Learning Outcomes Understand the core principles of ITIL and ITSM, including the CSI model. Develop insights into effective Organizational Change Management. Learn to foster impactful communication strategies within IT service management. Acquire the ability to measure and utilize metrics for IT service enhancement. Integrate CSI strategies effectively within ITIL and organizational practices. Why choose this ITIL Practitioner course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this ITIL Practitioner course for? IT professionals seeking to expand their ITIL knowledge. Managers overseeing IT service management teams. Change agents responsible for implementing IT service improvements. Individuals aspiring to integrate ITIL practices within their organizations. Analysts focused on service management metrics and performance. Career path ITIL Practitioner: £35,000 - £60,000 IT Service Manager: £40,000 - £70,000 Change Manager: £45,000 - £65,000 ITIL Consultant: £50,000 - £75,000 Quality Assurance Manager: £40,000 - £60,000 Performance Analyst: £30,000 - £50,000 Prerequisites This ITIL Practitioner does not require you to have any prior qualifications or experience. You can just enrol and start learning.This ITIL Practitioner was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Introduction to ITIL Practitioner Course Introduction 00:14:00 ITSM & Continual Improvement Learning Objectives 00:06:00 Selecting a Management System 00:11:00 Systems Thinking 00:13:00 The 4Ps 00:13:00 Communication & Management Systems 00:14:00 Organizational Capabilities 00:10:00 Adopt, Adapt & Realize 00:15:00 Outside-in vs Inside-out Thinking 00:11:00 Defining a Service 00:05:00 Metrics & Measurement 00:06:00 Improvement, the Practitioner & CSI 00:10:00 Driving IT Service Management Summary 00:15:00 Checkpoint 00:16:00 Principles & Themes Learning Objectives 00:04:00 Principles 00:24:00 Themes 00:09:00 Principles & Themes in Practice 00:08:00 Principles & Themes Summary 00:03:00 Checkpoint 00:07:00 Organizational Change Management (OCM) Learning Objectives 00:02:00 Role & Impact of OCM on Improvement 00:07:00 OCM Activities 00:16:00 OCM & Systems Thinking 00:06:00 OCM Summary 00:06:00 Checkpoint 00:10:00 Effective Communication to enable CSI Learning Objectives 00:01:00 Value, Importance & Benefit of Good Communication 00:05:00 Principles of Communication 00:11:00 Role of Influence 00:07:00 Communication Summary 00:05:00 Checkpoint 00:09:00 Use Metrics & Measurement Learning Objectives 00:02:00 CSFs, KPIs & Improvement 00:18:00 Analyze CSFs & KPIs in Context 00:09:00 Assessments 00:04:00 Use Metrics & Measurement Summary 00:05:00 Design a Report 00:07:00 Checkpoint 00:07:00 CSI Approach Learning Objectives 00:02:00 It Depends 00:09:00 Approach Deconstructed 00:25:00 Goal Question Metric (GQM) Approach Introduction 00:08:00 CSI Approach Summary 00:05:00 Checkpoint 00:06:00 Integrating CSI with ITIL & Beyond Learning Objectives 00:01:00 CSI Approach for the ITIL Practitioner 00:07:00 CSI Approach in ITIL 00:25:00 CSI Approach, PRINCE2 & RESILIA 00:06:00 Integrating CSI with ITIL & Beyond Summary 00:03:00 Checkpoint 00:06:00 Workbooks Workbooks - ITIL Practitioner - Video Training Course 00:00:00 Assignment Assignment - ITIL Practitioner 00:00:00