5105 Courses

Step confidently into the healthcare sector with the Midwifery Diploma: 8-in-1 Premium Online Courses Bundle — expertly designed to boost your employability in midwifery, nursing, and health and social care industries. This career-focused bundle equips you with essential skills, making you a highly sought-after candidate. Featuring Midwifery and Maternity Care, Health and Social Care, Nursing, Nutrition, Neonatal Nursing, Personal Hygiene, Counselling, and Psychology, this bundle covers the broad expertise employers require today. Employers look for professionals fluent in Midwifery and Maternity Care and Health and Social Care standards. Your ability to combine Nursing fundamentals with Nutrition knowledge and Neonatal Nursing specialization makes you indispensable. Add Personal Hygiene discipline, Counselling skills, and Psychology insight, and you’re presenting a well-rounded candidate who meets multiple job criteria. FOMO Alert: Healthcare roles in midwifery and nursing are growing fast — don’t miss your chance to qualify with this all-in-one bundle! Plus, with Compete High rated 4.8 on Reviews.io and 4.3 on Trustpilot, you can trust the quality of your learning journey. 🔹 Description This bundle prepares you for careers in hospitals, clinics, community care, maternity wards, and health education: Midwifery and Maternity Care: This core keyword signals to employers your readiness to work in maternal health settings. It’s a vital skill in any midwifery diploma. Health and Social Care: Employers across healthcare look for proficiency in Health and Social Care. This keyword boosts your profile in nursing homes, rehabilitation centres, and social services. Nursing: Nursing is fundamental. Including Nursing frequently throughout your professional documents ensures alignment with a broad range of healthcare roles. Nutrition: Understanding Nutrition is critical for patient care. Employers value candidates with knowledge of dietary needs and patient support. Neonatal Nursing: Specializing in newborn care, Neonatal Nursing is a high-demand skill in hospitals and clinics. Personal Hygiene: A cornerstone of healthcare practice, Personal Hygiene is essential in reducing infection risk and maintaining patient wellbeing. Counselling: Healthcare professionals often provide emotional support. Counselling enhances your ability to assist patients and families. Psychology: Insight into Psychology helps in understanding patient behaviour and improving care outcomes. This blend of eight powerful keywords makes your CV stand out in the competitive healthcare job market, offering you clear value for money and career progression. 🔹 FAQ Q: Who should take this bundle? A: Anyone aiming to become a qualified midwife, nurse, or healthcare assistant. It’s ideal for beginners and those seeking to upskill in maternal and neonatal care. Q: Is prior healthcare experience needed? A: No. The courses are designed for learners new to the field and those building on existing skills. Q: How will this bundle improve my employability? A: By mastering Midwifery and Maternity Care, Health and Social Care, Nursing, Nutrition, Neonatal Nursing, Personal Hygiene, Counselling, and Psychology, you meet the core demands of employers in hospitals, clinics, and community health services. Q: What makes Compete High a trusted provider? A: With 4.8 on Reviews.io and 4.3 on Trustpilot, Compete High delivers high-quality, job-focused education that learners recommend.

If you're aiming to step confidently into a career as a secretary, receptionist, or office administrator, the Touch Typing for Secretary Receptionist: 8-in-1 Premium Online Courses Bundle is your gateway to fast-track hireability. In industries like administration, legal services, education, HR, and customer service, the skills in this bundle make you stand out instantly. The courses included are: IT Microsoft Word ESOL Stress Management Audio Typing Email Sales Letter Data Entry Self Organisation 📢 FOMO ALERT: Secretarial and receptionist jobs are filling fast. The difference? Candidates trained in IT, Microsoft Word, audio typing, and data entry are hired first. 💸 Incredible Value: 8 in-demand career skills. One low bundle price. ⭐ Trusted by learners — Compete High has 4.8 on 'Reviews.io' and 4.3 on Trustpilot. 📝 Description Job recruiters aren’t just looking for attitude anymore — they want IT skills. From scheduling software to file management, IT proficiency is now a core requirement for secretarial and receptionist roles. Applicants with proven IT capabilities move ahead quickly. And nothing shows office readiness like Microsoft Word. The importance of Microsoft Word in formatting letters, organising documents, and drafting reports can't be overstated. If your CV says you're trained in Microsoft Word, you're already ahead of the competition. Next, employers value strong communication — especially for diverse teams. That’s where ESOL training comes in. Having ESOL knowledge signals better workplace communication and adaptability. Multinational organisations favour candidates fluent in ESOL contexts. But let’s not forget pressure. In a busy office, stress management is essential. Professionals with stress management skills are resilient, focused, and dependable. Recruiters love candidates who prioritise stress management. In roles requiring document handling, audio typing is the real skill gap. Trained audio typing professionals are hired in healthcare, law, and transcription services first. Add audio typing to your profile, and watch the job offers roll in. Digital communication is also key — especially writing an email sales letter. From customer service to admin outreach, being fluent in email sales letter construction gives you a communication edge. What about admin work? Data entry is one of the most frequently listed job skills on secretary job postings. Show you've trained in data entry, and you tick an important box every time. Finally, self organisation ties it all together. A receptionist or secretary who excels in self organisation is every employer's dream — capable, efficient, and ready to lead. Together, IT, Microsoft Word, ESOL, stress management, audio typing, email sales letter, data entry, and self organisation make you the ideal candidate. ❓FAQ Q: Who is this bundle for? A: Anyone wanting to break into or upskill in secretarial, admin, or receptionist jobs. Q: Is this suitable for beginners? A: Absolutely. These courses start with the fundamentals but aim to make you job-ready. Q: Are the certificates recognised? A: Yes. And with Compete High rated 4.8 on 'Reviews.io' and 4.3 on Trustpilot, you're learning with confidence.

The demand for coding essential skills is skyrocketing. The average salary for a web developer in the United Kingdom is £65,824 per year. And that number is only going to go up as more and more businesses move their operations online. If you want to get ahead in the tech industry, you need to learn how to code. This Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML course will teach you the crucial skills you need to become a web developer. You'll learn HTML, JavaScript, C#, and ASP.NET. You'll also learn how to build interactive web applications and use JavaScript to add dynamic functionality to your pages. In this Coding Essentials course, we start with an introduction to HTML, where you'll learn the basics, intermediate to advanced level topics, and explore advanced HTML techniques. Next, we dive into JavaScript, a powerful scripting language used for web development. From the fundamentals to conditional statements, control flow, functions, and error handling, you'll gain a solid understanding of JavaScript and its role in creating dynamic web pages. But that's not all! We also dive into the world of C#, a versatile and widely-used programming language. Starting with the basics, you'll progress through operators, statements, control flow, and debugging techniques. You'll also master object-oriented programming (OOPs) concepts, such as class encapsulation, inheritance, polymorphism, abstract classes, and interfaces. Our comprehensive curriculum concludes with exploring error-handling techniques in C#, ensuring you can create robust and reliable applications. Join us on this exciting coding adventure, where our experienced and expert instructors will guide you every step of the way. Don't miss this opportunity to unlock a world of possibilities and take your coding skills to new heights. Enrol in our Coding Essentials course today and unleash your coding potential! Learning Outcomes: Upon completion of the Coding Essentials course, you should be able to: Master the fundamentals of HTML for creating web pages. Gain intermediate and advanced HTML skills for enhanced web development. Understand the core concepts and syntax of JavaScript. Learn to use JavaScript to create dynamic and interactive web content. Develop proficiency in JavaScript operators and conditional statements. Explore control flow statements and error handling in JavaScript. Acquire a solid foundation in C# programming language. Learn C# operators, statements, and control flow techniques. Understand object-oriented programming (OOPs) concepts in C#. Apply C# error handling techniques for creating robust applications. Who is this course for? This Coding Essentials course is perfect for: Beginners who want to learn coding essentials from scratch. Individuals interested in web development and programming languages. Professionals seeking to enhance their coding skills and expand career opportunities. Students or graduates looking to add valuable coding skills to their resumes. Anyone with a passion for coding and a desire to create innovative applications. Career Path  Our Coding Essentials course will help you to pursue a range of career paths, such as: Web Developer: £25,000 - £50,000 per year. Software Engineer: £30,000 - £60,000 per year. Full Stack Developer: £35,000 - £70,000 per year. Front-end Developer: £25,000 - £55,000 per year. Back-end Developer: £30,000 - £60,000 per year. C# Developer: £35,000 - £70,000 per year. JavaScript Developer: £30,000 - £60,000 per year. Certification After studying the course materials of the Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML 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. Prerequisites This Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML 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. Course Curriculum Introduction Introduction 00:03:00 How to Get Course requirements 00:02:00 Getting Started on Windows, Linux or Mac 00:02:00 How to ask Great Questions 00:01:00 FAQ's 00:01:00 HTML Introduction HTML 00:05:00 Choosing Code Editor 00:06:00 Installing Code Editor (Sublime Text) 00:04:00 Overview of a Webpage 00:05:00 Structure of a Full HTML Webpage 00:07:00 First Hello World! Webpage 00:09:00 HTML Basic Heading tag 00:09:00 Paragraph 00:08:00 Formatting Text 00:12:00 List Items Unordered 00:05:00 List Items Ordered 00:04:00 Classes 00:09:00 IDs 00:06:00 Comments 00:04:00 HTML Intermediate Images 00:12:00 Forms 00:05:00 Marquee 00:06:00 Text area 00:06:00 Tables 00:06:00 Links 00:07:00 Navbar - Menu 00:04:00 HTML Entities 00:05:00 Div tag 00:06:00 Google Maps 00:07:00 HTML Advanced HTML Audio 00:07:00 HTML Video 00:05:00 Canvas 00:06:00 Iframes 00:05:00 Input Types 00:04:00 Input Attributes 00:06:00 Registration Form 00:04:00 Contact Us Form 00:10:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:02:00 JavaScript Introduction What is JavaScript 00:09:00 Hello World Program 00:14:00 Getting Output 00:11:00 Internal JavaScript 00:13:00 External JavaScript 00:09:00 Inline JavaScript 00:04:00 Async and defer 00:06:00 JavaScript Basics Variables 00:13:00 Data Types 00:10:00 Numbers 00:06:00 Strings 00:06:00 String Formatting 00:05:00 JavaScript Operators Arithmetic operators 00:07:00 Assignment operators 00:03:00 Comparison operators 00:06:00 Logical operators 00:08:00 JavaScript Conditional Statements If-else statement 00:05:00 If-else-if statement 00:04:00 JavaScript Control Flow Statements While loop 00:09:00 Do-while loop 00:03:00 For loop 00:08:00 Solution for Coding Exercise 00:02:00 JavaScript Functions Creating a Function 00:07:00 Function Call() 00:07:00 Function with parameters 00:05:00 JavaScript Error Handling Try-catch 00:05:00 Try-catch-finally 00:17:00 JavaScript Client-Side Validations On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 C# Introduction Introduction to CSharp 00:07:00 CSharp 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 CSharp Hello World Application 00:16:00 First CSharp Core Hello World Program 00:18:00 Assessment Test 00:01:00 Solution for Assessment Test 00:01:00 C# Basic Variables 00:24:00 CSharp Identifiers 00:08:00 Data Types 00:08:00 Type Casting 00:14:00 User Inputs 00:10:00 Comments 00:03:00 C# Operators 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 C# Statements If else Conditions and Statements 00:12:00 Switch-Case Statements 00:09:00 C# Control Flow statements 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 C# Built-in coding Arrays 00:13:00 Loop Through Arrays 00:10:00 Lists 00:07:00 SystemIO Namespace 00:03:00 Datetime 00:10:00 TimeSpan 00:06:00 C# Debugging techniques Debugging Tools in Visual Studio 00:13:00 Call Stack Window 00:04:00 Locals and Autos 00:04:00 C# Object-oriented programming [OOPs] Introduction to Class 00:03:00 Create a Class 00:15:00 Object Initializers 00:16:00 Parameters 00:12:00 Access Modifiers(theory) 00:13:00 C# Methods Introduction to methods 00:06:00 Create a method 00:16:00 Method with parameters 00:09:00 Method default and multiple parameters 00:09:00 Method return keyword 00:07:00 Method Over loading 00:08:00 Assessment Test 00:01:00 Solution for Assessment Test 00:02:00 C# Class Encapsulation Introduction to OOPs 00:04:00 Classes and Objects 00:11:00 Class Members 00:10:00 Class Constructors 00:14:00 Access Modifiers 00:11:00 Properties Get Set 00:06:00 Encapsulation 00:03:00 C# Inheritance and Polymorphism Intro Inheritance and Polymorphism 00:03:00 Inheritance 00:12:00 Polymorphism 00:13:00 Assessment Test 00:02:00 Solution for Assessment Test 00:03:00 C# Abstract and Interfaces Introduction 00:02:00 Abstraction 00:07:00 Interfaces 00:07:00 Enums 00:05:00 C# Error Handling Techniques Try Catch 00:10:00 Custom message on Errors 00:05:00 Finally 00:06:00 Throw keyword 00:09:00 Coding Exercise 00:02:00

Excel isn’t just about cells and charts—it’s where numbers tell stories. This Excel Data Analysis (Microsoft Office) Course is designed for those who want to make sense of spreadsheets without staring blankly at endless rows. Whether you’re handling budgets, forecasts, or good old-fashioned reports, you’ll explore Excel’s powerful tools that help turn raw data into clear insights. VLOOKUPs, pivot tables, conditional formatting—yes, the good stuff is all here, and it’s less scary than it sounds. No fluff, just focused learning. This course cuts straight to what matters: using Excel as a decision-making companion. From sorting data like a spreadsheet whisperer to creating charts that even your boss might understand, the content is structured to be logical, easy to follow, and surprisingly enjoyable. Whether you’re in finance, admin, marketing, or somewhere in between, this is for anyone who’s had a spreadsheet say, “figure me out,” and needed the right nudge in the right direction. Learning Outcomes: Trace formulas and use Excel's Scenario Manager and Goal Seek Use Solver and Data Tables to analyse data Utilise Data Analysis Tools to draw insights from data sets Create forecasts with Excel's Forecast Sheet Understand popular formulas like Sumif, Countif, and If Apply advanced formula techniques like And, Or, and Nested If. Course Curriculum: Excel Data Analysis for Beginner Tracing Formulas Using the Scenario Manager Goal Seek Solver Data Tables Data Analysis Tools Forecast Sheet Sumif, Countif, Averageif, Sumifs, and Countifs formulas If, And, Or, and Nested If formulas How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The course is ideal for highly motivated individuals or teams who want to enhance their professional skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Data Analyst - £30,000 to £45,000 Financial Analyst - £35,000 to £55,000 Marketing Analyst - £25,000 to £40,000 Business Intelligence Analyst - £35,000 to £60,000 Sales Analyst - £25,000 to £40,000 Project Coordinator - £25,000 to £35,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

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

Welcome to the wonderful world of crystals with this foundational course on working with crystals, with sensei Alison, Advanced Reiki Master, Teacher and Crystal Reiki Master.

A writing workshop to release stress, explore our shadows and reveal our creative force.

A fully tutored life drawing class for beginners.

Beginners photography workshop in Central London, helping you learn how to use your digital SLR camera and master interesting compositions in front of exciting subjects!

Portfolio Building for Property Course Overview: This course on "Portfolio Building for Property" offers a comprehensive guide to the key principles of property investment and management. Designed for individuals seeking to develop a successful property portfolio, the course covers various property types, investment strategies, and risk management techniques. Learners will gain an understanding of the financial aspects of property investment, from budgeting and financing to analysing property value and market trends. By the end of the course, participants will be equipped with the knowledge to build and manage a diverse property portfolio and make informed decisions that contribute to long-term financial success. Course Description: "Portfolio Building for Property" explores the essential elements of property investment, focusing on the strategies and tools needed to create a profitable and diversified property portfolio. Key topics include property selection, financing options, market analysis, risk management, and growth strategies. Throughout the course, learners will explore how to evaluate properties, understand market dynamics, and develop a sustainable portfolio. The course also introduces financial models and investment techniques that are critical in today’s property market. Learners will finish with the skills to assess opportunities, maximise returns, and make well-informed decisions within the property industry. Portfolio Building for Property Curriculum: Module 01: Module 02: Module 03: (See full curriculum) Who is this course for? Individuals seeking to enter the property investment market. Professionals aiming to enhance their property investment knowledge. Beginners with an interest in property management and investment. Investors looking to diversify their portfolio. Career Path Property Investor Real Estate Analyst Portfolio Manager Property Consultant Investment Advisor