19635 Introduction To Construction courses

Unlock the power of programming with our Basic C# Coding course, designed for beginners eager to embark on a coding journey. Dive into the world of C#, a versatile programming language that forms the backbone of numerous software applications. From understanding the foundations of C# and the .NET Framework to mastering key concepts like operators, statements, and control flow, this course offers a comprehensive introduction to C# coding. Get hands-on experience with arrays, lists, file structures, and dates, and learn essential debugging techniques to ensure your code runs smoothly. Whether you're looking to kickstart a career in software development or want to enhance your problem-solving skills, this course is the ideal starting point to unravel the art of programming. Learning Outcomes Gain a solid understanding of C# and the .NET Framework. Master C# basics, including operators, statements, and control flow. Explore the use of arrays, lists, and working with file structures. Learn to manipulate dates and effectively debug applications. Be prepared to take your coding skills to the next level with a strong foundation in C#. Why choose this Basic C# Coding 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 Basic C# Coding course for? Aspiring programmers and software development enthusiasts. Students and beginners seeking an introduction to C# coding. Professionals looking to enhance their problem-solving and logical thinking skills. Individuals considering a career in software development. Anyone curious about the world of programming and its endless possibilities. Career path Junior Software Developer: £20,000 - £35,000 Software Engineer: £30,000 - £60,000 Web Developer: £25,000 - £45,000 Application Developer: £25,000 - £50,000 Database Administrator: £25,000 - £45,000 Quality Assurance Analyst: £20,000 - £40,000 Prerequisites This Basic C# Coding does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Basic C# Coding 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 Course Introduction 00:02:00 Course Curriculum 00:07:00 How to get Pre-requisites 00:03:00 Getting Started on Windows or Linux 00:01:00 How to ask Great Questions 00:02:00 FAQ's 00:01:00 Section 02: Introduction to C# and .NET Framework Introduction to C# 00:07:00 C# vs .NET 00:04:00 What is CLR? 00:05:00 Architecture of .NET Application 00:09:00 Getting Visual Studio 00:07:00 First C# Hello World Application 00:16:00 Assessment Test 00:01:00 Solution for Assessment Test 00:01:00 05 Interview Questions and Answers 00:04:00 Section 03: C# Basic Introduction 00:03:00 Variables 00:24:00 C# Identifiers 00:08:00 Data Types 00:08:00 Type Casting 00:14:00 User Inputs 00:10:00 Comments 00:03:00 Assessment Test 00:01:00 Solution for Assessment Test 00:02:00 03 Interview Questions and Answers 00:02:00 Summary 00:02:00 Section 04: C# Operators Introduction 00:02:00 Arithmetic Operators 00:09:00 Assignment Operators 00:03:00 Comparison Operators 00:03:00 Logical Operators 00:03:00 Strings 00:10:00 String Properties 00:08:00 Booleans 00:06:00 Assessment Test 00:01:00 Solution for Assessment Test 00:01:00 03 Interview Questions and Answers 00:04:00 Summary 00:02:00 Section 05: C# Statements Introduction 00:02:00 If Conditions and Statements 00:12:00 Switch-Case Statements 00:09:00 Assessment Test 00:01:00 Solution for Assessment Test 00:02:00 03 Interview Questions and Answers 00:04:00 Summary 00:02:00 Section 06: C# Control Flow Statements Introduction 00:02:00 While Loop Statement 00:07:00 Do-While Statement 00:03:00 For Loop Statement 00:07:00 Foreach Statement 00:06:00 Break and Continue 00:03:00 Assessment Test 00:01:00 Solution for Assessment Test 00:01:00 03 Interview Questions and Answers 00:02:00 Summary 00:01:00 Section 07: C# Arrays and Lists Introduction 00:01:00 Arrays 00:13:00 Loop Through Arrays 00:10:00 Lists 00:07:00 Assessment Test 00:01:00 Solution for Assessment Test 00:02:00 03 Interview Questions and Answers 00:02:00 Summary 00:02:00 Section 08: Working with File Structure Introduction 00:01:00 System.IO Namespace 00:03:00 File and File Info 00:11:00 Directory and Directory Info 00:08:00 Getting File Path Information 00:05:00 Assessment Test 00:01:00 Solution for Assessment Test 00:01:00 03 Interview Questions and Answers 00:03:00 Summary 00:03:00 Section 09: Working with Dates Introduction 00:02:00 Datetime 00:10:00 TimeSpan 00:06:00 Assessment Test 00:01:00 Solution for Assessment Test 00:01:00 Summary 00:02:00 Section 10: Debugging Applications Introduction 00:02:00 Debugging Tools in Visual Studio 00:13:00 Call Stack Window 00:04:00 Locals and Autos Windows 00:04:00 Summary 00:02:00 Section 11: What's Next? Bonus Lecture for What Next? 00:02:00 Assignment Assignment - Basic C# Coding 00:00:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Electrical Machines for Electrical Engineering Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Electrical Machines for Electrical Engineering Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Electrical Machines for Electrical Engineering Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Electrical Machines for Electrical Engineering Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Electrical Machines for Electrical Engineering? 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 Electrical Machines for Electrical Engineering 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 Electrical Machines for Electrical Engineering 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 Electrical Machines for Electrical Engineering does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Electrical Machines for Electrical Engineering 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 Electrical Machines for Electrical Engineering is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Unit 1: Introduction to Electric Machines Module 1- Introduction to Electric Machines 00:03:00 Module 2- Types of Electric Machines and Principle of Electrical Generation 00:09:00 Unit 2: DC Machines Module 1- Importance and Construction of DC Machines 00:26:00 Module 2- Armature Winding and EMF Equation 00:40:00 Module 3-Solved Example 1 00:05:00 Module 4-Solved Example 2 00:04:00 Module 5-Solved Example 3 00:07:00 Module 6-Solved Example 4 00:06:00 Module 7-Separately Excited DC Machine 00:21:00 Module 8-Shunt and Series DC Machines 00:25:00 Module 9-Solved Example 1 on Separately Excited DC Machine 00:07:00 Module 10-Solved Example 2 on Separately Excited DC Machine 00:07:00 Module 11-Solved Example 3 on Shunt Generator 00:04:00 Module 12-Solved Example 4 on Shunt Generator 00:07:00 Module 13-Solved Example 5 on Series DC Generator 00:06:00 Module 14-Types and Applications of Compound DC Motors 00:07:00 Module 15- Torque-Speed Characteristics and Speed Control of Separately Excited DC Motor 00:33:00 Module 16- Torque-Speed Characteristics of Series DC Motor 00:08:00 Module 17-Solved Example 1 on Speed Control 00:08:00 Module 18-Solved Example 2 on Speed Control 00:06:00 Module 19- Starting of DC Machine 00:14:00 Module 20- Armature Reaction in DC Machines 00:10:00 Module 21-Losses in DC Machines 00:04:00 Unit 3: Construction of Transformers Module 1- What is a Transformer 00:02:00 Module 2- Importance of Transformer 00:04:00 Module 3-Iron Core of Transformer 00:04:00 Module 4- Magnetic Circuit Inside Transformer 00:05:00 Module 5- Windings of Transformer 00:03:00 Module 6- Why are Windings Made of Copper 00:01:00 Module 7- Classification of Windings 00:05:00 Module 8- Insulating Material and Transformer Oil 00:02:00 Module 9- Conservator of Transformer 00:03:00 Module 10- Breather of Transformer 00:04:00 Module 11- Bushings of Transformer 00:04:00 Module 12- Tap Changer of Transformer 00:03:00 Module 13- Cooling Tubes of Transformer 00:01:00 Module 14- Buchholz Relay of Transformer 00:02:00 Module 15- Explosion Vent 00:02:00 Module 16- Methods of Cooling 00:03:00 Module 17-Types of Transformers 00:03:00 Module 18- Power Transformer and Distribution Transformer 00:05:00 Module 19- Single Phase Core Type Transformer 00:04:00 Module 20-Single Phase Shell Type Transformer 00:05:00 Module 21- 3 Phase Core Type 00:02:00 Module 22- 3 Phase Shell Type 00:01:00 Module 23- Comparison between Shell and Core CSA 00:01:00 Module 24- Comparison between Shell and Core Type 00:01:00 Module 25- Notes 00:03:00 Module 26-Video Explaining The Components in 3D and Real Life 00:05:00 Unit 4: Fundamentals of Magnetic Circuits Module 1- Introduction to Magnetic Circuits 00:02:00 Module 2- Induced Emf and Current 00:04:00 Module 3- Ampere Right Hand Rule 00:04:00 Module 4- Magnetic Circuit and Important Definitions 00:06:00 Module 5- Linear and Non Linear Materials 00:03:00 Module 6-Flux Linkage and Reluctance 00:04:00 Module 7- Analogy between Electric and Magnetic Circuits 00:06:00 Module 8- Fringing Effect 00:02:00 Module 9- Example 1 Magnetic Circuits 00:07:00 Module 10- Example 2 00:03:00 Module 11- Example 3 00:06:00 Module 12- Application on Magnetic Circuit - Transformers 00:04:00 Unit 5: Theoretical Part on Transformers Module 1- Introduction to Transformers 00:02:00 Module 2- Construction of Transformer 00:02:00 Module 3-Theory of Operation 00:04:00 Module 4- Ideal Transformer 00:05:00 Module 5-Non Ideal Transformer 00:02:00 Module 6- Effect of Loading on Transformer 00:03:00 Module 7- Transformer Regulation 00:03:00 Module 8- Transformer Losses 00:03:00 Module 9- Transformer Efficiency 00:05:00 Module 10- Transformer Rating 00:02:00 Module 11- Question 1 00:01:00 Module 12- Question 2 00:02:00 Module 13- Question 3 00:01:00 Module 14- Example 1 00:01:00 Module 15- Voltage Relation of Transformer 00:04:00 Module 16- Transformer Exact Equivalent Circuit 00:06:00 Module 17- Concept of Refereeing 00:04:00 Module 18- Approximate Equivalent Circuit 00:02:00 Unit 6: Synchronous Machines Module 1- Construction and Principle of Operation of Synchronous Generator 00:29:00 Module 2- Principle of Operation of Synchronous Motor 00:24:00 Module 3- Equivalent Circuit and Phasor Diagram of Non Salient Synchronous Machine 00:29:00 Module 4-Solved Example 1 on Non Salient Machine 00:05:00 Module 5-Solved Example 2 on Non Salient Machine 00:11:00 Module 6-Solved Example 3 on Non Salient Machine 00:07:00 Module 7- Solved Example 4 on Non Salient Machine 00:04:00 Module 8-Solved Example 5 on Non Salient Machine 00:07:00 Module 9-Solved Example 6 on Non Salient Machine 00:03:00 Module 10- Equivalent Circuit and Phasor Diagram of Salient Synchronous Machine 00:39:00 Module 11-Solved Example 1 on Salient Machine 00:09:00 Module 12- Solved Example 2 on Salient Machine 00:05:00 Module 13-Solved Example 3 on Salient Machine 00:10:00 Module 14- Parallel Operation of Two Generators 00:17:00 Module 15- Synchronization of Machine with Grid 00:10:00 Unit 7: Induction Machines Module 1- Construction and Theory of Operation of Induction Machines 00:27:00 Module 2- Equivalent Circuit and Power Flow in Induction Motor 00:23:00 Module 3- Torque-Speed Characteristics of Induction Motor 00:20:00 Module 4- Solved Example 1 on Induction Motor 00:08:00 Module 5-Solved Example 2 on Induction Motor 00:06:00 Module 6-Solved Example 3 on Induction Motor 00:06:00 Module 7-Solved Example 4 on Induction Motor 00:18:00 Module 8-Solved Example 5 on Induction Motor 00:13:00 Module 9- Methods of Speed Control of Induction Motor 00:27:00 Module 10- Methods of Starting of Induction Motor 00:21:00 Module 11-Solved Example on Motor Starter 00:15:00 Module 12- Principle of Operation of Doubly Fed Induction Generator 00:11:00 Module 13-Self Excited Induction Generator 00:08:00 Assignment Assignment - Electrical Machines for Electrical Engineering 00:00:00

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science 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 R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science 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 Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

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

[Updated: February 2024] [FREE Mental Health Care Training - MCA & DOLS] [FREE Understanding Children & Young People's Mental Health] [FREE Dual Diagnosis Level 2] [FREE EFT- Emotional Freedom Technique] Life's challenges are inescapable, & we could all use some help when things become challenging - someone to bring some light into a grim situation - Counsellors. Whether you're suffering from depression, anxiety, low self-esteem, or need some guidance in your life, counselling can help. Join this Counselling and Psychology course & learn in detail about counselling. This Advanced Diploma in Counselling at QLS Level 7 is endorsed by The Quality Licence Scheme & accredited by CPDQS (with 250 CPD points) to make your skill development & career progression more accessible than ever! Mental health issues can drastically limit a person's ability to live a happy life. Relationships, family life, & jobs may all be affected by them. Mental health issues affect people of all economic, social, & ethnic backgrounds. People of all ages, from children to the elderly, can be affected by depression & anxiety. What do you learn from our Diploma of Counselling and Psychology (Online) Course: With the aid of this Counselling and Psychology course curriculum, you will gain various vital skills & knowledge, including: Have a thorough understanding of theories & models Discover the legal, cultural, & ethical aspects of professional counselling Learn about the use of medication & therapy to treat mental diseases Know in detail about communication skills & empathy Explore many aspects of life coaching & career counselling This training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Progression of Diploma of Counselling and Psychology (Online) Course: After completing this course, you can progress towards- Counselling level 4 Level 2 Certificate in Counselling Skills (RQF) NCFE CACHE Level 3 Diploma in Counselling Skills Level 6 Counselling Advanced Diploma in Counselling at QLS Level 7 course will cover the following topics: Theories and Models Psychotherapy & Psychiatric Disorders Treating Trauma, Stress, and Anxiety Life Coaching Family Law Conflict and Violence Communication Skills 4 Free Gifts are included in this Counselling course Free courses will cover the following topics: Free Course No 01: Mental Health Care Training Mental Capacity Act Decision Making Confidentiality and Record Keeping Authorised Deprivation Legal Background to DOLS Free Course No 02: Understanding Children and Young People's Mental Health Attachment and Relationship Building in Childhood Factors that Influence Development Mental Health Problems in Young and Adults Autism, ADHD and Dyslexia in Young Adults Mental Health Related Legislation in the UK Free Course No 03: Dual Diagnosis Level 2 Drugs and Their Effects Neurophysiology Minimisation and Optical Health Ethical Issues Dual Diagnosis Free Course No 04: EFT - Emotional Freedom Technique Emotional Freedom Technique Applying EFT to Physical Issues Doing Business with EFT Why Choose Our Diploma of Counselling and Psychology (Online) Course: Earn a certificate endorsed by the Quality Licence Scheme & another certificate accredited by CPDQS Get instant access to this Counselling and Psychology course. Learn Counselling and Psychology from anywhere in the world Counselling and Psychology is affordable and simple to understand Counselling and Psychology is entirely online, interactive lesson with voiceover audio Lifetime access to the Counselling and Psychology course materials Counselling and Psychology comes with 24/7 tutor support The demand for Counselling and Psychology personnel has never been greater. Now is a perfect moment to start a career if you are enthusiastic about assisting people & contributing to the health & welfare of individuals, families, & communities. Enrol in the Counselling and Psychology course & assist people to live a fulfilling life. Certificate of Completion After successfully completing this course, you can order your CPD Accredited PDF Certificate (Advanced Diploma in Counselling at QLS Level 7 ) as proof of your achievement. For the Hard Copy certificate, you have to pay £29.99 + Postal Charge. CPD 250 CPD hours / points Accredited by CPD Quality Standards Module 01: Introduction 09:53 1: Introduction Video Preview 01:26 2: Counselling and Counsellors Preview 08:27 Module 02: Theories and Models (Part 1) 12:49 3: Theories and Models of Counselling (Part 1) 12:49 Module 03: Theories and Models (Part 2) 13:48 4: Theories and Models of Counselling (Part 2) 13:48 Module 04: Legal, Cultural and Ethical Issues 12:00 5: Legal, Cultural and Ethical Issues in Professional Counselling 12:00 Module 05: Forms of Psychotherapy 12:03 6: Forms of Psychotherapy 12:03 Module 06: Psychotherapy 09:06 7: Counselling and Psychotherapy 09:06 Module 07: Dynamic Psychotherapy 18:50 8: Dynamic Psychotherapy 18:50 Module 08: Childhood and Adolescent Psychiatric Disorders 14:43 9: Childhood and Adolescent Psychiatric Disorders 14:43 Module 09: Working with Children and Adolescents in Schools 13:34 10: Counselling Children and Adolescents in Schools 13:34 Module 10: Treating Trauma and Substance Abuse 10:59 11: Counselling Trauma and Substance Abuse 10:59 Module 11: Treating Stress and Anxiety Disorders 17:52 12: Module 11: Counselling Stress and Anxiety Disorders 17:52 Module 12: Treating Personality Disorders 25:53 13: Counselling Personality Disorders 25:53 Module 13: Treating Mood Disorders and Depression 12:45 14: Counselling Mood Disorders and Depression 12:45 Module 14: Treating Eating & Sleeping Disorders 27:48 15: Counselling Eating & Sleeping Disorders 27:48 Module 15: Life Coaching and Career 10:12 16: Life Coaching and Career Counselling 10:12 Module 16: Family Law 13:35 17: Family Law 13:35 Module 17: Framing Family Law 13:43 18: Framing Family Law 13:43 Module 18: Marriage in Family Law 09:48 19: Marriage in Family Law 09:48 Module 19: Domestic Violence 14:55 20: Domestic Violence 14:55 Module 20: Couple and Family Counselling 15:18 21: Couple and Family Counselling 15:18 Module 21: Conflict Resolution 09:37 22: Conflict Resolution 09:37 Module 22: Pre-Marital 11:21 23: Pre-Marital Counselling 11:21 Module 23: Affairs 12:57 24: Affairs 12:57 Module 24: Apology & Forgiveness 10:09 25: Apology & Forgiveness 10:09 Module 25: Adapting to Changes 10:18 26: Adapting to Changes 10:18 Module 26: Treating Self-Harm and Suicide 11:31 27: Counselling Self-Harm and Suicide 11:31 Module 27: Engaging and Assessing the Patients 12:45 28: Engaging and Assessing the Clients 12:45 Module 28: Helping the Client in Crisis 08:38 29: Helping the Client in Crisis 08:38 Module 29: Crisis Intervention 08:03 30: Crisis Intervention 08:03 Module 30: Low Intensity CBT Treatment 10:41 31: Low Intensity CBT Treatment 10:41 Module 31: Medication and Therapy in the Treatment of Mental Illness 14:38 32: Medication and Therapy in the Treatment of Mental Illness 14:38 Module 32: Communication Skills and Empathy 12:36 33: Communication Skills and Empathy in Counselling 11:36 34: Final Words Preview 01:00 Assessment (Optional) 04:00 35: Assignment - Advanced Diploma in Counselling at QLS Level 7 Preview 04:00 Order Your Certificate 02:00 36: Order Your CPD Certificate 01:00 37: Order Your QLS Endorsed Certificate 01:00 Recommendations! 01:00 38: Take your career to the next level with HF Online! 01:00 Free Course No 01: Mental Health Care Training - MCA & DOLS 1:54:42 39: Module 01: The Mental Capacity Act 08:36 40: Module 02: Assessment of Mental Capacity 07:27 41: Module 03: Best Interest Decision Making 11:33 42: Module 04: Advocacy and Advance Planning 07:57 43: Module 05: Providing Care or Treatment to People Who Lack Capacity 07:15 44: Module 06: Confidentiality and Record Keeping 06:07 45: Module 07: Public Bodies and Services Created by MCA Act 2005 04:37 46: Module 08: Interface with Legislation, Policy and Procedures 08:26 47: Module 09: Deprivation of Liberty Safeguards 09:11 48: Module 10: Authorised Deprivation 11:18 49: Module 11: Legal Background to DOLS 07:52 50: Module 12: The MCA (2005) and DOLS During a Pandemic 09:46 51: Module 13: Liberty Protection Safeguards (LPS) 14:37 Free Course No 02: Understanding Children and Young People's Mental Health 3:40:24 52: Module 01: Introduction to Mental Health 14:09 53: Module 02: Child Psychology 21:26 54: Module 03: Attachment and Relationship Building in Childhood 28:33 55: Module 04: Impacts of Separation and Loss on Attachment 16:01 56: Module 05: Factors that Influence Development 18:39 57: Module 06: Mental Health Problems in Young and Adults 10:22 58: Module 07: Other Mental Health Problems in Young and Adults 10:43 59: Module 08: Autism, ADHD and Dyslexia in Young and Adults 21:00 60: Module 09: Dealing With Autism, ADHD and Dyslexia in Young and Adults 21:42 61: Module 10: The Self Harming Behaviour 13:14 62: Module 11: Mental Health Treatment and Medicine 13:17 63: Module 12: Mental Health over Life Span and Society in the UK 09:49 64: Module 13: Mental Health Related Legislations in the UK 21:29 Free Course No 03: Dual Diagnosis Level 2 4:31:11 65: Module 01: Dual Diagnosis: A Challenge of New Era 20:19 66: Module 02: Drugs and Their Effects 24:37 67: Module 03: Mental Health: An Introduction 33:27 68: Module 04: Brain Works - Neurophysiology 25:11 69: Module 05: Harm Minimisation and Optical Health 32:33 70: Module 06: Models of Care and Dual Diagnosis 23:36 71: Module 07: Psychological Interventions in Dual Diagnosis 13:28 72: Module 08: Practice and Policy Issues 13:50 73: Module 09: Ethical Issues and Mental Health Act 19:46 74: Module 10: The Assessment Process in Dual Diagnosis 23:13 75: Module 11: Treatment in Dual Diagnosis 41:11 Free Course No 04: EFT - Emotional Freedom Technique 1:04:12 76: Module 01: What Is EFT (Emotional Freedom Technique)? 06:36 77: Module 02: EFT and Emotions, The Brain (EFT with the body) 06:46 78: Module 03: EFT Procedure 09:07 79: Module 04: Detailed Instructions of EFT 07:37 80: Module 05: Applying EFT to Physical Issues 08:13 81: Module 06: Treating Children with EFT 07:42 82: Module 07: EFT That Can Improve/ Heal Life & Tips 08:17 83: Module 08: Doing Business with EFT 09:54 Who is this course for? Anyone from any background can enrol in this Counselling and Psychology course. Nevertheless, this course is particularly recommended 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. Requirements Students seeking to enrol in the Diploma of Counselling and Psychology (Online) Course should meet the following requirements; Basic knowledge of English Language Be age 16 years or above Basic Knowledge of Information & Communication Technologies for studying online or digital platform. Career path This Diploma of Counselling and Psychology (Online) Course will help you when you apply for positions like: School counsellor Mental Health Social Worker Psychologist Mental Health Counsellor Operating Your Own Counselling Practice Careers Counsellor or Adviser Drug and Alcohol Counsellor Family and Marriage Counsellor Rehabilitation Counsellor Certificates Certificate Accredited by CPDQS Digital certificate - Included Assessment Process You have to complete the course assignment questions given at the end of the course and score a minimum of 60% to pass the exam and achieve a Quality Licence Scheme endorsed certificate. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing theexam, you will be able to request a certificate with additional cost that has been endorsed by the Quality Licence Scheme. Advanced Diploma in Counselling at QLS Level 7 Hard copy certificate - £139 Show off Your New Skills with a Certificate of Completion After successfully completing the course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 139 GBP inside the UK 149 GBP (including postal fees) for International Delivery Certificate Accredited by CPDQS Upon finishing the course, you need to order to receive aCertificate Accredited by CPDQSthat is accepted all over the UK and also internationally. The pricing schemes are: 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)

Delve into the realm of qualitative research with our course on 'Interpretative Phenomenological Analysis (IPA)'. This course offers a comprehensive introduction to IPA, laying the foundation for understanding its theoretical underpinnings. The course then moves onto practical aspects including planning an IPA research study and collecting data. The final modules deal with analysis, writing, and exploring advanced designs and innovative approaches in IPA, leaving learners with a complete understanding of the subject Learning Outcomes Comprehend the fundamental concepts of Interpretative Phenomenological Analysis. Plan and execute an IPA research study. Collect and analyse qualitative data effectively. Write a complete and coherent research report. Understand and apply advanced designs and innovative approaches in IPA. Why choose this Interpretative Phenomenological Analysis (IPA) 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 Interpretative Phenomenological Analysis (IPA) course for? Aspiring researchers in the field of psychology. Academics looking to diversify their research methodologies. Postgraduate students undertaking qualitative research. Professionals in healthcare or counselling seeking to understand their clients better. Individuals interested in phenomenology and its applications. Career path Research Analyst: £25,000 - £40,000 Clinical Psychologist: £31,000 - £51,000 Academic Researcher: £30,000 - £50,000 Counsellor: £20,000 - £35,000 Behavioural Analyst: £30,000 - £45,000 Healthcare Consultant: £40,000 - £70,000 Prerequisites This Interpretative Phenomenological Analysis (IPA) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Interpretative Phenomenological Analysis (IPA) 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 Module 01: Introduction to Interpretative Phenomenological Analysis (IPA) Introduction to Interpretative Phenomenological Analysis (IPA) 00:13:00 Module 02: IPA and the Theory IPA and the Theory 00:10:00 Module 03: Planning an IPA Research Study Planning an IPA Research Study 00:15:00 Module 04: Collecting Data Collecting Data 00:15:00 Module 05: Analysis Analysis 00:15:00 Module 06: Writing Writing 00:11:00 Module 07: Advanced Designs and Innovative Approaches Advanced Designs and Innovative Approaches 00:15:00

Step into the world of safety and precision with our Banksman Essentials Training course. Banksman, a critical role in vehicle and site safety, ensures the smooth and secure movement of vehicles in various work environments. This course provides a comprehensive introduction to the key responsibilities of a Banksman, including traffic risk assessment, essential signals, and safety protocols. If you're seeking a fulfilling career where safety is paramount, this course equips you with the knowledge and skills needed to excel in this essential role. Join us in enhancing workplace safety and efficiency through the art of Banksman signaling. Learning Outcomes Understand the role and responsibilities of a Banksman. Conduct effective traffic risk assessments for secure vehicle movements. Master the essential hand signals and communication methods used by a Banksman. Safely guide and manage the reversing of vehicles, preventing accidents. Implement health and safety measures in various work environments. Why choose this Banksman Essentials Training 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 Banksman Essentials Training course for? Individuals interested in a career in vehicle and site safety. Construction and logistics professionals looking to enhance their skills. Anyone seeking to understand the role and responsibilities of a Banksman. Employees responsible for managing vehicle movements on worksites. Those committed to promoting safety and efficiency in the workplace. Career path Banksman: £18,000 - £28,000 Site Safety Supervisor: £24,000 - £35,000 Construction Manager: £30,000 - £60,000 Logistics Coordinator: £20,000 - £30,000 Health and Safety Officer: £22,000 - £40,000 Traffic Management Specialist: £20,000 - £35,000 Prerequisites This Banksman Essentials Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Banksman Essentials Training 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 Module 01: An Introduction to Banksman An Introduction to Banksman 00:10:00 Module 02: Traffic Risk Assessment Traffic Risk Assessment 00:07:00 Module 03: Essential Signals for Banksman Essential Signals for Banksman 00:15:00 Module 04: Reversing Vehicles Reversing Vehicles 00:09:00 Module 05: Health and Safety Health and Safety 00:10:00 Assignment Assignment - Banksman Essentials Training 00:00:00

The 'Level 2 Diploma in English Grammar' course provides a comprehensive introduction to English grammar, covering the basics of sentence structure, question formation, punctuation, capitalization, spelling, and common mistakes. Participants will gain a solid understanding of fundamental grammar rules and techniques to improve their English language skills. Learning Outcomes: Acquire a foundational understanding of English grammar and its components. Identify and analyze the basic structure of sentences in English. Understand the rules and techniques for forming questions in English. Master the usage of punctuation and capitalization to enhance writing clarity. Improve spelling skills and avoid common spelling errors in English. Recognize and rectify common grammar mistakes made by English learners. Develop strategies to enhance overall English language proficiency and communication. Apply acquired knowledge to create well-structured sentences and written communication. Why buy this Level 2 Diploma in English Grammar? 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. Certification After studying the course materials of the Level 2 Diploma in English Grammar you will be able to take the MCQ test that will assess your knowledge. 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 Level 2 Diploma in English Grammar does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Level 2 Diploma in English Grammar 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 Level 2 Diploma in English Grammar is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Module 1: Introduction to the Course Introduction to the Course 00:13:00 Module 2: The Basics of Grammar Basics of Grammar 00:16:00 Module 3: The Basics of Sentence The Basics of Sentence 00:11:00 Module 4: Structure of Sentence Structure of Sentence 00:19:00 Module 5: Question Question 00:13:00 Module 6: Punctuation & Capitalisation Punctuation & Capitalisation 00:24:00 Module 7: Spelling Spelling 00:27:00 Module 8: Common Mistakes & Ways to Improve Common Mistakes & Ways to Improve 00:21:00

The Investment Banking Operations Professional course provides a comprehensive introduction to investment banking, covering its structure, valuation methods, leveraged buyout (LBO) process, initial public offerings (IPOs), and mergers and acquisitions (M&A). Additionally, the course emphasizes ethical considerations in the investment banking industry. Learning Outcomes: Gain a foundational understanding of the investment banking industry and its key functions. Identify the various structures and sides of investment banking, including roles and responsibilities. Learn different valuation methods used in investment banking to assess the worth of assets and companies. Understand the process and mechanics of leveraged buyouts (LBOs) in investment banking. Explore the procedures and intricacies involved in conducting initial public offerings (IPOs). Study the concepts and strategies related to mergers and acquisitions (M&A) in investment banking. Recognize the importance of ethics in the investment banking profession and its impact on decision-making. Why buy this Investment Banking Operations Professional? 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 Investment Banking Operations Professional 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 Investment Banking Operations Professional does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This Investment Banking Operations Professional 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 Investment Banking Operations Professional is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Module 01: Introduction to Investment Banking Introduction to Investment Banking 00:16:00 Module 02: Structure and Side of Investment Banking Structure and Side of Investment Banking 00:16:00 Module 03: Valuation Methods in Investment Banking Valuation Methods in Investment Banking 00:29:00 Module 04: Leveraged Buyout (LBO) Leveraged Buyout (LBO) 00:21:00 Module 05: Initial Public Offering (IPO) Initial Public Offering (IPO) 00:28:00 Module 06: Merger and Acquisition Merger and Acquisition 00:15:00 Module 07: Ethics in Investment Banking Ethics in Investment Banking 00:13:00 Assignment Assignment - Investment Banking Operations Professional 00:00:00

The Meteorology course provides a comprehensive introduction to the study of the Earth's atmosphere and weather phenomena. Participants will learn about atmospheric composition, cloud formation, precipitation, natural hazards, the solar system, and the impact of climate change and global warming. Learning Outcomes: Understand the basics of meteorology and its significance in understanding weather patterns. Comprehend the components and characteristics of the Earth's atmosphere. Explore the formation and types of clouds and their role in weather prediction. Gain insights into precipitation processes, including rain, snow, sleet, and hail. Learn about various natural hazards like hurricanes, tornadoes, and thunderstorms. Study the solar system and its influence on Earth's weather and climate. Understand the concept of climate change and the phenomenon of global warming. Recognize the importance of meteorological data in environmental monitoring and forecasting. Why buy this Meteorology - Level 2? 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 Meteorology - Level 2 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? Weather enthusiasts and hobbyists curious about meteorology. Students pursuing studies in environmental science or related fields. Professionals working in agriculture, aviation, or marine industries affected by weather. Individuals seeking a foundational understanding of meteorological principles. Prerequisites This Meteorology - Level 2 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Meteorology - Level 2 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 Meteorologist: Analyze weather patterns, prepare forecasts, and provide weather information. Environmental Consultant: Offer expertise on climate and weather-related environmental issues. Agricultural Advisor: Provide guidance to farmers on weather and its impact on crops. Aviation Meteorology Specialist: Support aviation operations by providing weather forecasts. Oceanographer: Study the impact of weather and climate on marine ecosystems. Course Curriculum Module 01: Introduction to Meteorology Introduction to Meteorology 00:20:00 Module 02: The Atmosphere The Atmosphere 00:13:00 Module 03: Clouds and their Development Clouds and their Development 00:20:00 Module 04: Precipitation Precipitation 00:20:00 Module 05: Natural Hazards Natural Hazards 00:26:00 Module 06: The Solar System The Solar System 00:21:00 Module 07: Climate Change and Global Warming Climate Change and Global Warming 00:13:00 Assignment Assignment - Meteorology - Level 2 00:00:00