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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

Duration 5 Days 30 CPD hours This course is intended for In order to be successful in this course you should have incoming hands-on experience with another programming language. This course is not for non-developers or new developers. Possible roles that may attend this course include: Software Developers: Professionals who have been working with other programming languages and want to expand their skillset by learning Java and its object-oriented features. Web Developers: Those who work on web applications and want to enhance their back-end development capabilities with Java. Mobile App Developers: Developers who wish to enter the world of Android app development, where Java is a widely used language for creating mobile applications. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core OO coding and Java development skills, coupling the most current, effective techniques with the soundest industry practices. 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 learn to: Understand what OO programming is and what the advantages of OO are in today's world Work with objects, classes, and OO implementations Understand the basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how?it relates to OO programming and the Object Model Learn to use Java exception handling Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Become familiar with the concept of functional programming using Lambda Expressions Process large amounts of data using the Stream API introduced in Java 8 Discover the new Date/Time API Use the JDBC API for database access Work with annotations Take advantage of the Java tooling that is available with the programming environment being used in the class Java 8 Features: Lambda Expressions, Method and Constructor references, The Streams API, Collectors, The Optional class Geared for experienced developers, Basic Java Programming for Developers New to OO, this hands-on, workshop-style course will provide you with an immersive learning experience that will expand your skillset and open doors to new opportunities within the ever-growing technology landscape. Mastering Java and its powerful capabilities will provide you with the competitive edge you need to stand out in today's fast-paced development world. Working in a hands-on learning environment led by our expert coach, you?ll thoroughly explore the foundations of the Java platform, essential programming concepts, and advanced topics, ensuring you acquire a strong understanding of the language and its ecosystem. The object-oriented programming principles taught in this course promote code reusability and maintainability, enabling you to streamline development processes and reduce long-term costs. As you progress through the course, you will also gain familiarity with using an IDE, enhancing your development workflow and collaboration with other Java developers, enabling you to integrate seamlessly into new projects and teams. You?ll also gain practical experience in applying the concepts and techniques learned, solidifying your newly acquired skills and facilitating their direct application in real-world scenarios. You?ll exit this course empowered to create robust, scalable, and efficient Java-based applications that drive innovation and growth for your organization The Java Platform The Java Platform Lifecycle of a Java Program Responsibilities of JVM Documentation and Code Reuse Using the JDK Explain the JDK?s file structure Use the command line compiler to compile a Java class Use the command line Java interpreter to run a Java application class The IntelliJ Paradigm Introduce the IntelliJ IDE The Basics of the IntelliJ interface IntelliJ Projects and Modules Creating and running Java applications Writing a Simple Class Write a Java class that does not explicitly extend another class Define instance variables for a Java class Create object instances Primitives vs Object References Implement a main method to create an instance of the defined class Adding Methods to the Class Write a class with accessor methods to read and write instance variables Write a constructor to initialize an instance with data Write a constructor that calls other constructors of the class to benefit from code reuse Use the this keyword to distinguish local variables from instance variables Object-Oriented Programming Real-World Objects Classes and Objects Object Behavior Methods and Messages Inheritance, Abstraction, and Polymorphism Encapsulation Inheritance Method Overriding Polymorphism Essential Java Programming Essential Java Programming Language Statements Arithmetic operators Operators to increment and decrement numbers Comparison operators Logical operators Return type of comparison and logical operators Use for loops Switch Expressions Switch Expressions and yield Using Strings and Text Blocks Create an instance of the String class Test if two strings are equal Get the length of a string Parse a string for its token components Perform a case-insensitive equality test Build up a string using StringBuffer Contrast String, StringBuffer,and StringBuilder Compact Strings Text Blocks Specializing in a Subclass Constructing a class that extends another class Implementing equals and toString Writing constructors that pass initialization data to parent constructor Using instanceof to verify type of an object reference Pattern matching for instanceof Overriding subclass methods Safely casting references to a more refined type Fields and Variables Discuss Block Scoping Rules Distinguish between instance variables and method variables within a method Explain the difference between the terms field and variable List the default values for instance variables Final and Static fields and methods Local Variable type inference Using Arrays Declaring an array reference Allocating an array Initializing the entries in an array Writing methods with a variable number of arguments Records Data Objects in Java Introduce records as carrier of immutable data Defining records Java Packages and Visibility Use the package keyword to define a class within a specific package Discuss levels of accessibility/visibility Using the import keyword to declare references to classes in a specific package Using the standard type naming conventions Visibility in the Java Modular System Correctly executing a Java application class The Java modular system Defining Modules Inheritance and Polymorphism Write a subclass with a method that overrides a method in the superclass Group objects by their common supertype Utilize polymorphism Cast a supertype reference to a valid subtype reference Use the final keyword on methods and classes to prevent overriding Interfaces and Abstract Classes Define supertype contracts using abstract classes Implement concrete classes based on abstract classes Define supertype contracts using interfaces Implement concrete classes based on interfaces Explain advantage of interfaces over abstract classes Explain advantage of abstract classes over interfaces Static, default and private methods in interfaces Sealed classes Introduce Sealed classes The sealed and permits modifiers Sealed Interfaces Exception Handling Introduction to Exception Handling Introduce the Exception architecture Defining a try/catch blocks Checked vs Unchecked exceptions Exceptions Defining your own application exceptions Automatic closure of resources Suppressed exceptions Handling multiple exceptions in one catch Helpful Nullpointers Enhanced try-with-resources Java Developer's Toolbox Developing applications Introduce the wrapper classes Explain Autoboxing and Unboxing Converting String representations of primitive numbers into their primitive types Defining Enumerations Using static imports Deprecating methods Advanced Java Programming Introduction to Generics Generics and Subtyping Bounded Wildcards Generic Methods Legacy Calls To Generics When Generics Should Be Used Lambda Expressions and Functional Interface Understanding the concept of functional programming Writing lambda expressions Understanding functional interfaces Collections Provide an overview of the Collection API Review the different collection implementations (Set, List and Queue) Explore how generics are used with collections Examine iterators for working with collections Using Collections Collection Sorting Comparators Using the Right Collection Lambda expressions in Collections Bonus Topics: Time Permitting Streams Understanding the problem with collections in Java Thinking of program solutions in a declarative way Use the Stream API to process collections of data Understand the difference between intermediate and terminal stream operations Filtering elements from a Stream Finding element(s) within a Stream Collecting the elements from a Stream into a List takeWhile and dropWhile intermediate operations Collectors Using different ways to collect the items from a Stream Grouping elements within a stream Gathering statistics about numeric property of elements in a stream

Clinical Psychology: Clinical Psychology Course Online Are you looking to develop or establish a career in psychology or counselling? Then this Clinical Psychology: Clinical Psychology Course is perfect for you. Our Clinical Psychology: Clinical Psychology Course is divided into several manageable modules ideal for aspiring professionals, allowing our students to easily grasp each concept. The Clinical Psychology: Clinical Psychology Course covers a wide range of mental health disorders and provides practical and theoretical knowledge on various forms of psychology and their approaches and applications. It examines the main characteristics of good mental health and then introduces some key statistics about mental health in the United Kingdom. Through this Clinical Psychology: Clinical Psychology Course, you will learn about psychiatric disorders in adults, children, and adolescents and the symptoms and treatment of schizophrenia, anorexia nervosa, depression, and other conditions. By the end of the Clinical Psychology: Clinical Psychology Course, you will have the professional skills, knowledge, and credentials to pursue a broad range of careers in this field, such as child psychology, CBT therapy, and behavioural therapy. Our comprehensive Clinical Psychology: Clinical Psychology Course is the perfect way to kickstart your career in the field of psychology. The Clinical Psychology: Clinical Psychology Course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. Why choose this Clinical Psychology: Clinical Psychology Course from the School of Health Care? Self-paced Clinical Psychology: Clinical Psychology Course, access available from anywhere in the world. High-quality study materials that are easy to understand. Clinical Psychology: Clinical Psychology Course developed by industry experts. After each module, there will be an MCQ quiz to assess your learning. Assessment results are generated automatically and instantly. 24/7 support is available via live chat, phone call, or email. Free PDF certificate after completing the Clinical Psychology: Clinical Psychology Course. Main Course: Clinical Psychology Diploma Free Courses included with Clinical Psychology: Clinical Psychology Course Course 01: Psychological Wellbeing Practitioner [ Note: Free PDF certificate as soon as completing the Clinical Psychology: Clinical Psychology Course] Clinical Psychology: Clinical Psychology Course Online This Clinical Psychology: Clinical Psychology Course consists of 12 modules. Course Curriculum of Clinical Psychology: Clinical Psychology Course Module 01: An Overview of Mental Health Module 02: Different Viewpoints in Psychology Module 03: Social Psychology Module 04: Utilising Cognitive Psychology Module 05: Understanding Childhood and Adolescent Psychiatric Disorders Module 06: Understanding Stress and Anxiety Disorders Module 07: Understanding Schizophrenia Module 08: Understanding Personality Disorders Module 09: Understanding Mood Disorders Module 10: Understanding Eating & Sleeping Disorders Module 11: Understanding Self-Harm and Suicide Module 12: Treating Mental Illness: Medication and Therapy Assessment Method of Clinical Psychology: Clinical Psychology Course After completing Clinical Psychology: Clinical Psychology Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Clinical Psychology: Clinical Psychology Course After completing the Clinical Psychology: Clinical Psychology Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Clinical Psychology: Clinical Psychology Course Online This Clinical Psychology: Clinical Psychology Course is ideal for anyone looking to start a career in the field of psychology or counselling, which includes the following related professions: Child Psychologist CBT Therapist Counsellor Requirements Clinical Psychology: Clinical Psychology Course Online To enrol in this Clinical Psychology: Clinical Psychology Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Clinical Psychology: Clinical Psychology Course. Be energetic and self-motivated to complete our Clinical Psychology: Clinical Psychology Course. Basic computer Skill is required to complete our Clinical Psychology: Clinical Psychology Course. If you want to enrol in our Clinical Psychology: Clinical Psychology Course, you must be at least 15 years old. Career path Clinical Psychology: Clinical Psychology Course Online This Clinical Psychology course will prepare you for a variety of career paths, including the following: Psychology Assistant - £20,000 to £30,000 per annum Psychologist - £35,000 to £45,000 per annum Psychiatrist - £45,000 to £60,000 per annum Psychologist - £45,000 to £50,000 per annum Clinical Psychologist - £40,000 to £45,000 per annum

The Actuary Online Course offers a comprehensive exploration of these scientific foundations, delving into deterministic and stochastic models, life insurance, annuities, and the complex interplay between taxation, inflation, and risk.

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

In the ever-evolving landscape of healthcare, there lies a niche yet crucial sector: Emergency Paediatric First Aid. With children's unique medical needs, the demand for specialised care is on the rise in the UK. Recent statistics show an increasing number of children-related accidents, highlighting the urgency for skilful individuals in paediatric first aid. Seize the opportunity to stand at the forefront of this indispensable discipline. Our course centred around Emergency Paediatric First Aid, is tailored to empower you with the knowledge and confidence to provide timely assistance. With each module, immerse yourself deeper into the world of paediatric care, ensuring that in times of emergencies, you are not a mere bystander but an active participant in safeguarding a child's health. Embrace the change, and be the difference the industry needs. This Level 3 Emergency Paediatric First Aid course covers the following topics: Understand core concepts of paediatric first aid. Evaluate and offer immediate assistance to children. Administer CPR and manage unresponsive children. Address common paediatric illnesses and injuries. Deliver first aid for severe medical conditions. Recognise when and how to call emergency services. 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 Emergency Paediatric First Aid 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. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? This Emergency Paediatric First Aid is suitable for anyone aspiring to start a career in relevant field; even if you are new to this and have no prior knowledge, this course is going to be very easy for you to understand.  On the other hand, if you are already working in this sector, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements There is no prerequisite to enrol in this course. You don't need any educational qualification or experience to enrol in the Emergency Paediatric First Aid 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 Emergency Paediatric First Aid 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 Module 01: Introduction to Paediatric First Aid Introduction to Paediatric First Aid 00:18:00 Module 02: Assessment and Assistance Assessment and Assistance 00:22:00 Module 03: Loss of Responsiveness and CPR Loss of Responsiveness and CPR 00:20:00 Module 04: Paediatric First Aid for Common Illnesses, Injuries and Incidents Paediatric First Aid for Common Illnesses, Injuries and Incidents 00:38:00 Module 05: First Aid for Acute Medical Conditions First Aid for Acute Medical Conditions 00:22:00 Module 06: Call for an Emergency Call for an Emergency 00:24:00 Assignment Assignment - Emergency Paediatric First Aid 00:00:00

Computer vision (CV), a subfield of computer science, focuses on replicating the complex functionalities of the human visual system. This course provides a comprehensive understanding of Computer Vision from the beginning using Python and helps you in becoming an expert.

GRAB the Best SALES EVENT of the Year! Imagine being part of a compassionate community where every individual is treated with dignity, especially in their most vulnerable moments. The Health & Social Care with End Of Life Care course opens doors to a profound understanding of the care required at crucial life stages. With the growing demand for professionals in this Health & Social Care field, individuals equipped with knowledge and empathy are making a significant difference in society. Statistics show that the health & social care sector is one of the fastest-growing industries, providing numerous career opportunities for those passionate about making an impact. The Health & Social Care with End Of Life Care course is designed to empower you with a theoretical foundation that will shape your future in the Health & Social Care sector. By enrolling, you will engage with a comprehensive curriculum that focuses on essential care topics, enabling you to understand and contribute positively to the lives of others. Whether you aspire to support families during difficult times or enhance your understanding of health care dynamics, this Health & Social Care with End Of Life Care course is your stepping stone to a rewarding career. Courses you'll get: Course 01: Diploma in Health & Social Care: A comprehensive qualification that covers essential principles and practices in health & social care settings. Course 02: Social Media for Health Care: Explores the role of social media in health communication and patient engagement. Course 03: End of Life Care: Provides an in-depth understanding of the compassionate care required during end-of-life situations. Course 04: Maternity Care Assistant: Focuses on the support roles in maternity care, emphasizing the emotional and physical needs of mothers and infants. Course 05: Emergency First Aid at Work Certificate: Equips you with the knowledge to respond effectively in emergency situations within the workplace. Course 06: Concussion and Brain Injury Awareness: Raises awareness about concussions and brain injuries, highlighting prevention and response strategies. Health & Social Care with End Of Life Care course begins with the fundamentals before advancing gradually to more complicated subjects. As a result, this Health & Social Care with End Of Life Care course's lessons are all clear-cut and simple to comprehend. Health & Social Care Course Learning Outcomes: Upon successful completion of this highly appreciated this Health & Social Care training Course, you'll be a skilled professional, besides- A significant part of health & social care To understand the importance of communication management Rights and obligations for health & social care professionals Rights and obligations as a healthcare provider and professional working in social and health care; advancing rights, diversity, and equality Important Health & Social Care Work Principles and Principles Recognising the ethical, professional, and regulatory requirements for conducting business in the healthcare industry How to rescue the defenseless How to carry out your health and safety obligations Risk management and governance in the health & social care sector It will boost up your productivity, you can use the skill and credentials, and become more competent in your vocation with increased earning! Key Highlights for Health & Social Care Course: CPD Accredited Course Unlimited Retake Exam & Tutor Support Easy Accessibility to the Course Materials 100% Learning Satisfaction Guarantee Lifetime Access & 24/7 Support Self-paced online course Modules Covers to Explore Multiple Job Positions Curriculum Breakdown of Health & Social Care Course: Module 01: Introduction to Health & Social Care Module 02: Communication and its Relevance Module 03: Rights and Responsibilities as a Health & Social Care Worker Module 04: Role as A Caregiver and Healthcare Professional Module 05: Working in Health & Social Care; Promoting Equality, Diversity, and Rights Module 06: Important Principles and Policies in Health & Social Care Work Module 07: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 1 Module 08: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 2 Module 09: Safeguarding Vulnerable Individuals Module 10: Health and Safety Responsibilities Module 11: Risk Management in Health & Social Care Additionally, you will receive additional informative modules from bonus courses. Each topic has been designed to deliver more information in a shorter amount of time. This makes it simple for the learners to understand the fundamental idea and apply it to diverse situations. Certification: CPD Accredited (CPD QS) Certificate Digital (PDF) & Hardcopy certificates are available CPD 60 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Health & Social Care with End Of Life Care course. However, This Health & Social Care with End Of Life Care course particularly effective for- Students related to Health & Care Recent graduates Job Seekers in related field Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill Requirements Learners seeking to enrol for the Health & Care Course should meet the following requirements; Basic knowledge of English Language, which you have already Be age 16 years or above Basic Knowledge of Information & Communication Technologies for studying online or digital platform. Stable Internet or Data connection in your learning devices. Career path After completing this course, you can explore trendy and in-demand jobs related to Health & Social Care, such as- Qualified Social Worker Trainer in Health & Social Care Childcare Social Worker Lead Social Worker Health care assistant Explore each of the roles available and how you can start your career in Health & Social Care with End Of Life Care course. Certificates CPD Accredited Hard Copy Certificate Hard copy certificate - Included After successfully completing this Health & Social Care with End Of Life Care course, you get a hardcopy certificate for free. The delivery charge of the hardcopy certificate inside the UK is £3.99 and international students need to pay £9.99 to get their hardcopy certificate. CPD Accredited PDF Certificate Digital certificate - Included After successfully completing this Health & Social Care with End Of Life Care course, you will get a digital certificate for free.

Overview In the realm of public health, Epidemiology in Public Health stands as the sentinel of population wellbeing. The UK's commitment to public health is evident, with the government allocating £3.9 billion to public health services in 2019/20. This Epidemiology in Public Health course unveils the intricate world of disease patterns and health determinants, equipping you with the tools to safeguard communities. As the UK faces evolving health challenges, from emerging infectious diseases to chronic conditions, the demand for skilled epidemiologists continues to rise. The Office for National Statistics reports that life expectancy improvements have slowed since 2011, highlighting the crucial need for epidemiological insights. This course delves into the core principles of Epidemiology in Public Health, from understanding disease occurrence to analysing outbreaks. You'll master the art of study design, measure risk with precision, and grasp the epidemiological concept of population. Join us in the pursuit of public health excellence, where Epidemiology in Public Health becomes your lens to view and transform the health landscape. Whether you're tracking epidemics or preventing diseases, this Epidemiology in Public Health course will be your cornerstone in shaping a healthier future. In this Epidemiology Course, you will: Sharpen your skills to help you advance your career. Acquire a comprehensive understanding of various related topics and tips from industry experts. Learn in-demand knowledge and skills in high demand among UK employers, which will help to kickstart your Epidemiology in Public Health Course career. Enrolling in the Epidemiology in Public Health Course can assist you in getting into your desired career faster than you ever imagined. So, without further ado, start now! Process of Evaluation After studying the Epidemiology 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 Epidemiology 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 Epidemiology is suitable for anyone aspiring to start a career in Epidemiology; even if you are new to this and have no prior knowledge on Epidemiology, this course is going to be very easy for you to understand.  And if you are already working in the Epidemiology 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 Epidemiology 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 Epidemiology course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Epidemiology 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 Epidemiology course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Module 01: Understanding Epidemiology Understanding Epidemiology 00:18:00 Module 02: Principles of Epidemiology Principles of Epidemiology 00:20:00 Module 03: Study Design Study Design 00:24:00 Module 04: Disease Occurrence Disease Occurrence 00:19:00 Module 05: Variation in Disease by Time, Place, and Person Variation in Disease by Time, Place, and Person 00:15:00 Module 06: Epidemics and Outbreaks Epidemics and Outbreaks 00:26:00 Module 07: Measures of Risk and Disease Prevention Measures of Risk and Disease Prevention 00:23:00 Module 08: Measures of Disease Frequency Measures of Disease Frequency 00:22:00 Module 09: Role of Epidemiology in Public Health Role of Epidemiology in Public Health 00:17:00 Module 10: The Epidemiological Concept of Population The Epidemiological Concept of Population 00:22:00 Assignment Assignment - Epidemiology 00:00:00

Overview of Disability Awareness & Inclusion Training Basics In an increasingly diverse and inclusive workplace, understanding and accommodating people with disabilities is essential for any organisation that values equal opportunities and a thriving work environment. This comprehensive Disability Awareness & Inclusion Training program provides participants with a deep understanding of disabilities, their impact on individuals, and the legal and ethical frameworks that govern disability inclusion in the workplace. According to the Office for National Statistics (ONS), 14.1 million people in the UK have a disability, representing 20.4% of the population. This number is expected to rise as the population ages. Despite this significant proportion, people with disabilities are still underrepresented in the workforce. The ONS reports that only 52.2% of people with disabilities are employed, compared to 83.1% of people without disabilities. This presents a significant opportunity for businesses to tap into a largely untapped talent pool and skills. By embracing Disability Awareness & Inclusion Training, organisations can gain a competitive advantage, enhance their reputation, and foster a more diverse and productive work environment. Upon completion of this Disability Awareness & Inclusion Training, participants will be able to learn about: Define disability and identify different types of disabilities. Understand the legal and ethical frameworks governing disability inclusion in the workplace. Apply the social model of disability to understand the barriers faced by people with disabilities. Identify and address attitudinal and environmental barriers that hinder disability inclusion. Implement effective communication strategies when interacting with people with disabilities. Contribute to creating an inclusive workplace that values and accommodates people with disabilities. 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 Disability Awareness & Inclusion 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 Disability Awareness & Inclusion 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 Disability Awareness & Inclusion 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 Disability Awareness & Inclusion Training Course can help you advance your career and gain expertise in several fields, allowing you to apply for high-paying jobs in related sectors. Course Curriculum Module 01: Concept of Disabilities and Inclusion Concept of Disabilities and Inclusion 00:12:00 Module 02: Disability and The Law Disability and The Law 00:11:00 Module 03: Models of Disability Models of Disability 00:11:00 Module 04: General Duties of Employers and Workers' Representatives General Duties of Workers' Representatives 00:08:00 Module 05: Ensuring Health and Safety for Disabled People Ensuring Health and Safety for Disabled People 00:16:00 Module 06: Managing Workers with Disabilities Managing Workers with Disabilities 00:11:00 Module 07: Effective Communication Strategies with Disabled People Effective Communication Strategies with Disabled People 00:09:00 Module 08: Recruiting People with Disabilities Recruiting People with Disabilities 00:12:00 Module 09: Promotion Promotion 00:09:00 Module 10: Creating An Inclusive Workplace Creating an Inclusive Workplace 00:13:00