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Self-esteem and assertiveness are two essential skills for life success. None of your life's judgments is more important than what you make about yourself. Without some sense of self-worth, life can be extremely painful and unforgiving. Through this Self Esteem and Assertiveness Course, you will learn some techniques that can dramatically change how you feel about yourself and how you approach the world to get what you want. A healthy self-esteem is necessary for growth and success. So, If you want to gain a solid and compact understanding of this topic and advance your career, this industry-standard, thorough Self Esteem and Assertiveness Course is a good place to start. This comprehensive Self Esteem and Assertiveness Course is designed to help delegates overcome these challenges on both a personal and professional level. This excellent course teaches delegates how to "be all they can be" both inside and outside of the working place. Delegates will learn to recognize their own "behavioral styles" as well as the behavioral styles of others, gaining insight into how they can influence, connect, and have a positive impact on relationships and situations both inside and outside of the workplace. This Self Esteem and Assertiveness Course course will assist you in the process of personal growth by making you more aware of who you are, what you do in this Assertiveness and Self Esteem Development field, and the effects it has on others. Move past your fears, shyness, self-doubt, and negativity. Increase your self-esteem, improve your ability to influence others, and take action that will change your life for the better! Self-esteem & assertiveness are essential components of living a happy and successful life. Building assertiveness and self-esteem are essential for professional success. However, it is impossible to advance in your career without adequate training and guidance. And this Self Esteem and AssertivenessCourse is perfect for you in this regard. Learning Outcomes After completing Self Esteem and Assertiveness course, the learner will be able to: Understand the fundamentals of self-esteem. Understand the fundamentals of assertiveness. Understand the importance of assertive communication. Understand the four basic styles of communication. Know how to respond to criticism. Gain a solid understanding of the XYZ formula for effective assertive communication. Gain in-depth knowledge of assertiveness in the workplace. Why Choose Self Esteem and Assertiveness Bundle Course from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Self Esteem and Assertiveness Course developed by industry experts. MCQ quiz after each module to assess your learning. Automated and instant assessment results. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the Course. ***Courses are included in this Self Esteem and Assertiveness Bundle Course Course 01: Self Esteem and Assertiveness Skill Course 02: Anger Management Course 03: Communication Skills Course ***Other Benefits of this Course Free 3 PDF Certificate Access to Content - Lifetime Exam Fee - Totally Free Free Retake Exam [ Note: Free PDF certificate will provide as soon as completing the Self Esteem and Assertiveness course ] This comprehensive and accurate Self Esteem and Assertiveness Course is an excellent place to start your career. You will gain a practical and theoretical understanding of this course, which will help you stand out from the competition and increase your earning potential in no time. So, once you've finished this exceptional Self Esteem and Assertiveness Course, you'll have the practical knowledge and skills to pursue a variety of career opportunities in the field of assertiveness and self-esteem. After completing this Self Esteem and Assertiveness Course, you'll be ready to take on any challenge and start your career in your desired industries/sectors by developing your skills. This Self Esteem and Assertiveness Course will also improve your existing skills by taking them to the next level and providing up-to-date knowledge for facing tomorrow's challenges. This Self Esteem and Assertiveness Course allows you to monetise your skills and makes success much easier. This course is appropriate for both full-time and part-time students and can be completed at your own pace. Our Self Esteem and Assertiveness Course is the ideal one-stop solution for you to manage stress and develop persistence in your Assertiveness and Self Esteem Development work. Simply enroll in our Self Esteem and Assertiveness Course, and we will take care of the rest. Detailed course curriculum *** Self Esteem and Assertiveness Course *** Module 1: Understanding Self Esteem Defining Self-Esteem Signs of Low and High Self-Esteem What Causes Low Self-esteem? How is Low Self-esteem Related to Mental Health? Strategies to Build Healthy Self-Esteem How to Increase Your Self-esteem? What Can Friends and Family Do Help? Module 2: Understanding Assertiveness What is Assertiveness? The Origins of Assertiveness The Assertive Journey The Confidence Lane The Four Basic Styles of Communication Assertiveness vs. Aggressiveness Assertiveness vs. Passiveness Assertive Styles With Body Language Responding to Criticism Module 3: Assertiveness in Communication Assertive Communication Importance of Assertive Communication Outcomes & Benefits of Assertiveness Important Facts About Assertiveness Facets of Assertiveness XYZ Formula for Effective Assertive Communication Applications of Assertiveness Module 4: Assertiveness in Workplace Managing Assertively Assertive Roles at Work Managing Workplace Conflict 'I' Messages or 'I' Statements Social Confidence ------------------------- ***Other Courses: ------------------------- ***Communication Skills Course*** Course Curriculum Module 01: Introduction to Communication Module 02: The Communication Skills Module 03: Different Types of Communication Module 04: Different Methods of Communication Module 05: Styles of Communication Module 06: Barriers to Communication Module 07: Assessing Communication Competence: Relevant Criteria Module 08: Seven Actions for Effective Communication Module 09: Do's and Don'ts of Effective Communication ------------------------- ***Anger Management*** Course Curriculum Module 01: Introduction to Anger Module 02: The Process in Anger Module 03: Effect of Anger on Our Thinking Module 04: How to Manage Anger ------------------------- Assessment Method After completing each module of the Self Esteem and Assertiveness Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Once you complete all the modules in this manner, you will be qualified to request your certification. Certification After completing the MCQ/Assignment assessment for this Self Esteem and Assertiveness Course, you will be entitled to a Certificate of Completion from Training Tale. It will act as proof of your extensive professional development. The certificate is in PDF format, which is completely free to download. A printed version is also available upon request. It will also be sent to you through a courier for £13.99. Who is this course for? This Self Esteem and Assertiveness Course is ideal for anyone who wants to understand why Self Esteem and Assertiveness skills are important, how to develop and improve them, and how to advance their career. Including: Managers Team Leaders Office Executives Office Administrators Employees Business people Secretaries Receptionists Requirements Students who intend to enrol in Self Esteem and Assertiveness Course must meet the following requirements: Good command of the English language Must be vivacious and self-driven Basic computer knowledge A minimum of 16 years of age is required Career path This course will help you move forward in your career by providing you with relevant information, skills, and a certificate of completion. You can expect to be significantly closer to achieve your goals after successfully completing this Self Esteem and Assertiveness course. It's also securing the job you want, getting the promotion you deserve, or starting the business of your dreams. Certificates Certificate of completion Digital certificate - Included

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

Overview This Upgrade Your Excel Skills course will unlock your full potential and will show you how to excel in a career in Upgrade Your Excel Skills. So upskill now and reach your full potential. Everything you need to get started in Upgrade Your Excel Skills is available in this course. Learning and progressing are the hallmarks of personal development. This Upgrade Your Excel Skills will quickly teach you the must-have skills needed to start in the relevant industry. In This Upgrade Your Excel Skills Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Upgrade Your Excel Skills to help you advance your career. Acquire a comprehensive understanding of various Upgrade Your Excel Skills topics and tips from industry experts. Learn in-demand Upgrade Your Excel Skills that are in high demand among UK employers, which will help you to kickstart your career. This Upgrade Your Excel Skills course covers everything you must know to stand against the tough competition in the Upgrade Your Excel Skills field.  The future is truly yours to seize with this Upgrade Your Excel Skills. Enrol today and complete the course to achieve a Upgrade Your Excel Skills 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 Upgrade Your Excel Skills 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 Upgrade Your Excel Skills 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 Upgrade Your Excel Skills 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 Upgrade Your Excel Skills is suitable for anyone aspiring to start a career in Upgrade Your Excel Skills; even if you are new to this and have no prior knowledge on Upgrade Your Excel Skills, this course is going to be very easy for you to understand.  And if you are already working in the Upgrade Your Excel Skills 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 Upgrade Your Excel Skills 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 Upgrade Your Excel Skills course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Upgrade Your Excel Skills 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 Upgrade Your Excel Skills course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Unit 01: Introduction Welcome 00:02:00 Unit 02: Excel Productivity Tips -Part 1 Camera Tool 00:05:00 Add Line Break in Formula Bar 00:03:00 Advanced Copy-Paste using Office Clipboard 00:03:00 Navigation between Worksheets using Shortcut Keys 00:01:00 Flash Fill 00:02:00 Add Multiple Rows and Columns Quickly 00:02:00 Delete Blank Rows 00:03:00 Multi Level Row and Column Sorting 00:04:00 Add Sparklines 00:03:00 Paste Special - Transpose 00:03:00 Unit 03: Excel Productivity Tips - Part 2 Snap to Grid 00:03:00 Create Custom Auto fill List 00:06:00 Absolute Cell Reference 00:03:00 Import Data from Web page 00:04:00 Move Cell Direction 00:03:00 Delete Data using Mouse 00:02:00 Status Bar Quick Calculations 00:03:00 Link Text Boxes to Cell 00:04:00 Phone Number and ZIP Code Format 00:04:00 Speaking Cell 00:05:00 Unit 04: Excel Productivity Tips - Part 3 Invisible Text 00:03:00 Worksheet Grouping 00:04:00 Advanced Transpose 00:04:00 XLStart Folder 00:03:00 Use Slicers 00:05:00 Convert Text to Numbers 00:03:00 Hiding Workbook Elements 00:02:00 Useful Shortcut Keys 00:03:00 Sort data from Left to Right 00:03:00 Advanced Filter (Complex) 00:11:00 Unit 05: Excel Productivity Tips - Part 4 Email as PDF 00:02:00 Synchronous Scrolling 00:03:00 Quick Analysis of data within Excel 00:02:00 Fill blank cells with Value 00:03:00 Hidden Chart Source Data 00:03:00 Two more Shortcuts 00:03:00 Add Blank Rows 00:03:00 Custom views in Excel 00:06:00 EMBED Feature 00:04:00 Adding Country code in Mobile Numbers 00:04:00 Unit 05: Excel Productivity Tips - Part 5 Plot an Average Line to a Chart 00:04:00 3D Referencing 00:04:00 Extract Unique Values 00:03:00 Excel Array Formula 00:04:00 Forecast Sheet 00:04:00 Add Spin Controls in Excel 00:05:00 Move Data using Mouse 00:01:00 Add new entry in Auto Correct to use across Office Applications 00:05:00 Find Differences between Two Lists 00:02:00 Find formulas Quickly 00:02:00 Unit: 06 Wrap Up Thank You 00:01:00

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics 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 Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics 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 Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00

Duration 2 Days 12 CPD hours This course is intended for Application Developers Business Analysts Developer End Users Functional Implementer Java Developer System Analysts Technical Administrator Overview Create administrator-level personalizations Personalize configurable pages Utilize advanced personalization features Implement flexfields on OA Framework-based pages Create custom look and feel definitions Create user-level personalizations This course will be applicable for customers who have implemented Oracle E-Business Suite Release 12 or Oracle E-Business Suite 12.1. This course will be applicable for customers who have implemented Oracle E-Business Suite Release 12 or Oracle E-Business Suite 12.1.

PHP and MySQL Training 2022: Build 5 Real World Projects Course Overview: "PHP and MySQL Training 2022: Build 5 Real World Projects" offers an in-depth exploration of web development using PHP and MySQL, empowering learners with the skills to create dynamic, database-driven websites. Through five real-world projects, learners will gain a practical understanding of PHP’s functionality, MySQL databases, and how to combine the two to build effective web applications. By the end of the course, participants will have the knowledge to develop robust and scalable systems, such as login and registration systems, CRUD apps, and email-sending features. This course equips learners with essential skills to launch their careers in web development or enhance their existing expertise. Course Description: In this comprehensive training course, learners will delve into core concepts of PHP and MySQL, with a focus on practical application. The course covers key areas such as installation and configuration of PHP, creating user authentication systems, developing CRUD applications, building a URL shortening service, and sending emails with PHP. Each module guides learners through building fully functional projects that address common real-world needs. Along the way, participants will enhance their coding proficiency, understand the importance of secure web applications, and learn the techniques required to build dynamic websites. By the end of this course, learners will be proficient in using PHP and MySQL to develop and manage complex web systems. PHP and MySQL Training 2022: Build 5 Real World Projects Curriculum: Module 01: Introduction Module 02: Installation Module 03: First Project: Login and Registration System Module 04: Second Project: Full Crud App Module 05: Third Project: URL Shortening Service Module 06: Fourth Project: PHP Gallery Module 07: Fifth Project: Sending Emails with PHP (See full curriculum) Who is this course for? Individuals seeking to build a strong foundation in web development. Professionals aiming to expand their knowledge of PHP and MySQL. Beginners with an interest in coding and web development. Aspiring web developers looking to work on real-world projects. Career Path Web Developer PHP Developer Backend Developer Database Administrator Full Stack Developer

PHP and MySQL Training Masterclass 2023 Course Overview This PHP and MySQL Training Masterclass 2023 offers a comprehensive guide to mastering dynamic web development using PHP and MySQL. Learners will explore essential programming concepts, database integration, and application building through progressive projects designed to enhance their coding capabilities. The course covers core skills such as user authentication, comment systems, ratings, and interactive applications, equipping students with the confidence to develop fully functional web solutions. By the end, participants will have the knowledge to build, customise, and manage robust web applications, boosting their employability and technical proficiency in today’s digital marketplace. Course Description This masterclass delves into key aspects of PHP programming and MySQL database management, providing learners with a structured learning experience. Starting with installation and configuration, it progresses through multiple project-based modules focusing on real-world applications such as authentication systems, comment and rating features, weather apps, and live search functionality. Each module deepens understanding of server-side scripting and database queries, enhancing problem-solving and coding fluency. Participants will gain expertise in integrating PHP scripts with MySQL databases, optimising application performance, and managing data securely. The course is designed to develop both foundational and advanced skills essential for web development careers, delivered in clear, concise UK English. PHP and MySQL Training Masterclass 2023 Curriculum Module 01: Introduction Module 02: Installation Module 03: First Project: Building an Authentication System Module 04: Second Project: Building a Comments System Module 05: Third Project: Creating a Rating System Module 06: Fourth Project: Creating a Weather App Module 07: Fifth Project: Build a Cool Like and Dislike System Module 08: Sixth Project: Building a Simple CV Builder Module 09: Seventh Project: QR Codes Generator Module 10: Eighth Project: Build a Full Live Search System (See full curriculum) Who Is This Course For? Individuals seeking to develop skills in dynamic web development. Professionals aiming to enhance their web programming career. Beginners with an interest in server-side scripting and databases. Web developers wanting to expand their expertise in PHP and MySQL. Career Path Web Developer Backend Developer PHP Developer Database Administrator Full-Stack Developer Software Engineer Digital Solutions Specialist

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Level 3 QLS Endorsed Diploma | 120 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Journey Beyond – Exploring Life Between Lives Hypnotherapy Unlock the Secrets of the Soul’s Journey Between Lives! Have you ever wondered what happens after death but before rebirth? Do you seek deeper spiritual insights, healing, or a greater sense of purpose? Join us for an exclusive Masterclass on Life Between Lives Hypnotherapy, where you'll explore the profound journey of the soul in the spirit realm through hypnosis and regression techniques. What You’ll Learn: ✔️ The step-by-step process of guiding a client into the Life Between Lives state. ✔️ How deep hypnosis unlocks soul memories and reveals past-life lessons. ✔️ The role of spirit guides, soul groups, and the higher self in our evolution. ✔️ Practical applications for healing, self-discovery, and life purpose. Who Should Attend? 🔹 Trance Tribe Members, Hypnotherapists, healers, and past-life regression practitioners. 🔹 Spiritual Hypnotherapy practitioners looking to understand their soul’s journey. 🔹 Anyone curious about life after death and the afterlife experience. Why Join This Masterclass? ✨ Led by an experienced spiritual regressionist. ✨ Gain powerful tools to deepen your practice or personal spiritual journey. ✨ A rare opportunity to explore the afterlife through firsthand experiences and expert guidance.