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
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Course Curriculum Introduction Welcome 00:02:00 Start & Have Powerful First Interactions 3 Best Ways To Always Start A Conversation 00:06:00 What To Say In Social Interactions 00:11:00 Never Run Out Of Things To Say Again! 00:06:00 Winning Mindset For Social Success 00:05:00 Join Group Conversations 00:04:00 Develop Rapport & Connection Fast Connect With People Fast 00:04:00 Make People Like You 00:06:00 Attractive Social Energy 00:08:00 Destroy Your Social Fears Fear Of Approaching People 00:10:00 Fear Of Rejection 00:07:00 Fear Of What People Think Of You 00:07:00 Unleash Your Social Confidence Become Confident in Social Interactions 00:05:00 Become Socially Relaxed & Anxiety Free 00:04:00 Stop Being Shy Socially 00:04:00 Love Yourself 00:02:00 Stop Approval Seeking Behavior 00:04:00 Master The End Of The Interaction Leave A Conversation Politely 00:03:00 Last Impression 00:03:00 Body Language For Social Success Eye Contact 00:07:00 Smiling 00:05:00 Positive & Confident Body Language 00:05:00 Voice 00:03:00 Skills For Social Success Visualization Exercise 00:03:00 Talkative Mood 00:03:00 Your environment 00:05:00
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Let's lay the groundwork for good landing page design 00:13:00 The Myth Of The Perfect Landing Page Conversion Rate 00:12:00 The 3 Main Types of Landing Pages and How To Use Them Effectively 00:19:00 Common Business Models and Understanding Your Conversion Actions 00:19:00 The AIDA Sales Funnel and The Online Decision Making Process 00:17:00 The Awareness Stage of the Funnel: Where It All Begins 00:18:00 The Interest Stage of the Funnel Tell Me More 00:14:00 The Desire Stage of the Funnel I Want What You Sell 00:13:00 The Action Stage of the Funnel I'm Going to Buy What You Sell 00:09:00 The Fogg Behavior Model and how it Applies to Good Landing Page Design 00:20:00 Making Your Landing Page Design Memorable 00:14:00 Module 02: Principles of Good Landing Page Design: Examples, Case Studies & Best Practices Download all Section Two Slides 00:06:00 The Primacy of Product and The Concept of Usability in Landing Page Design 00:15:00 Eschew Obfuscation: Clarity and the Quest for Fewer Question Marks 00:11:00 The 5 Second Usability Test in Landing Page Design (and how you can use it now) 00:31:00 The Art and Science Behind Designing High-Converting Calls To Action (CTA's) 00:19:00 Readability and Visual Hierarchy Landing Page Design 00:20:00 Respecting Web Conventions in Landing Page Design 00:13:00 Using Videos, Graphics and Imagery to Increase Landing Page Conversion Rates 00:20:00 Information Architecture and Accessibility - Landing Page Design Best Practices 00:20:00 Trust, Safety and Credibility (Part 1) Landing Page Design Best Practices 00:16:00 Trust, Safety and Credibility (Part 2) Landing Page Design Best Practices 00:09:00 Dedicated Landing Page Design Best Practices (Part 1) 00:15:00 Dedicated Landing Page Design Best Practices (Part 2) 00:12:00 Module 03: Principles of Persuasion in Landing Page Design Download all Section Three Slides 00:32:00 Using Scarcity to Improve Conversion Rates on Your Landing Pages 00:10:00 Principles of Persuasion - Reciprocal Concessions & Reciprocity in Landing Pages 00:12:00 Principles of Persuasion Anchoring and Cognitive Dissonance Theory 00:19:00 Module 04: Designing and Building a Landing Page Step by Step in Unbounce My Favorite Landing Page Builders and Getting Started With Our Unbounce Page 00:10:00 Getting Familiar With the Unbounce Page Builder and Adding Our Header Section 00:07:00 Creating a Logo in Photoshop and Using the Unbounce Image Uploader Tool 00:16:00 Working With Background Imagery in Landing Pages and Developing Our Hero Section 00:16:00 Creating a Form, Action Block, and Finishing the Hero Section in Unbounce 00:19:00 Discussing Landing Page Design Changes and Creating our Primary Content Section 00:16:00 Finishing Page Content, Adding Icons, Footer and Working With Buttons Unbounce 00:11:00 Publishing Your Unbounce Landing Page on Your Custom Domain 00:04:00 Adding Custom CSS in Unbounce to Create Professional Drop Shadows 00:06:00 Making Your Landing Page Design Work Better With Custom Javascript Snippets 00:08:00 Mobile Site Layout in Unbounce Based on Mobile Landing Page Design Guidelines 00:03:00 Designing Your Form Confirmation Dialogue in Unbounce and Testing Your Live Form 00:03:00 Assigning A/B Testing Variants in Unbounce and Assigning Traffic Weights 00:12:00 Integrating Your Unbounce Form Submissions With Your Mailchimp Account 00:09:00 Module 05: Bonus Goodbye For Now I Will Miss You Dearly 00:03:00 Module 06: Bonus Content: Real-Life Audits - Landing Page Design Best Practices Western Computer Audit Part 1 00:08:00 Western Computer Audit Part 2 00:09:00 Western Computer Audit Part 3 00:15:00 Western Computer Audit Part 4 00:14:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00
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One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Fitness Business - Sell Products, Training & Coaching Online course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Fitness Business - Sell Products, Training & Coaching Online course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate. Certificate of Achievement Upon successfully completing the Fitness Business - Sell Products, Training & Coaching Online course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Fitness Business - Sell Products, Training & Coaching Online is suitable for anyone aspiring to start a career in Fitness Business - Sell Products, Training & Coaching Online; even if you are new to this and have no prior knowledge on Fitness Business - Sell Products, Training & Coaching Online, this course is going to be very easy for you to understand. And if you are already working in the Fitness Business - Sell Products, Training & Coaching Online field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. Taking this Fitness Business - Sell Products, Training & Coaching Online course is a win-win for you in all aspects. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Fitness Business - Sell Products, Training & Coaching Online course has no prerequisite. You don't need any educational qualification or experience to enrol in the Fitness Business - Sell Products, Training & Coaching Online course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Fitness Business - Sell Products, Training & Coaching Online course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Introduction Who this course is for 00:02:00 What you will learn 00:03:00 Fitness Business Models Fitness Business Models Overview 00:02:00 The Coaching Business Model 00:04:00 Selling Products Business Model 00:06:00 Affiliate Marketing Business Model 00:06:00 Fitness Sponsorships 00:02:00 Refining Your Business Idea The First Steps 00:03:00 Finding The Right Fitness Niche 00:04:00 How To Identify The Ideal Coaching Client 00:05:00 How To Identify Your Clients Pain Points 00:03:00 How To Become An Expert 00:04:00 Creating Your First Product Understand What You Are Selling 00:01:00 Creating Your First Fitness Information Product 00:07:00 MVP - Minimal Viable Product 00:03:00 Creating Your First Workout Routine / Diet Plan 00:04:00 Writing Your First Fitness eBook 00:06:00 Recording Your First Fitness Video Course 00:06:00 Creating A Coaching Offer 00:03:00 Selling & Marketing Fundamentals Overview 00:02:00 Most Common Fitness Marketing Mistakes 00:04:00 Setting SMART Marketing Goals 00:07:00 Crafting A Stong Marketing Message 00:06:00 Selling & Marketing Strategies Choosing The Right Marketing Channel 00:08:00 Email Marketing For Your Product 00:03:00 How To Build An Email List 00:03:00 Your First Autoresponder Series 00:10:00 How To Build The Perfect Lead Magnet 00:05:00 How To Use WordPress For Your Fitness Business 00:08:00 Installing WordPress 00:05:00 Building A Landing Page 00:06:00 Building A Thank You Page 00:03:00 Driving Traffic To Your Site Starting A Niche Youtube Channel 00:05:00 Keyword Research For Youtube 00:04:00 My Youtube Content Strategy 00:04:00 How To Set Up Your First Lead Ad In Facebook 00:06:00 Affiliate Marketing 3 lectures Affiliate Marketing Overview 00:01:00 Writing Blog Posts With Affiliate Links 00:04:00 Making Affiliate Sales With Youtube Videos 00:03:00 Online Business Motivation Motivation Intro 00:01:00 How To Deal With Difficult Customers / Clients 00:03:00 How To Deal With Email Overload 00:04:00 How To Develop The Mindset Of An Entrepreneur 00:04:00 How To Not Lose Track Of Your Business Goals 00:05:00