Data Science & Machine Learning with R

Course Overview Are you looking to gain a new in-demand skill from the comfort of your home? Well, look no …

Data Science & Machine Learning with R

Data Science & Machine Learning with R




1 Year Access


25 Students


22 hours, 2 minutes

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Course Overview

Are you looking to gain a new in-demand skill from the comfort of your home? Well, look no further; you’ve come to the right place!

Our easy-to-follow Data Science & Machine Learning with R will provide you with all the deep knowledge and insight you need to know about this topic. This comprehensive course has been broken down into several manageable modules, which we believe will assist you to easily grasp each concept – from the fundamental to the more advanced aspects of the course. 

Learn the most in-demand skills from the safety & comfort of your home. Enjoy the freedom to learn at your own comfortable pace and prepare yourself for the market of the future.

Learning Outcomes

Whether you are an aspiring professional or a complete beginner, this course will improve your expertise and boost your CV with key skills and an accredited certification attesting to your knowledge. 

Entry Requirement

    • This course is available to all learners of all academic backgrounds.
    • Learners should be aged 16 or over to undertake the qualification.
    • Some basic understanding of the English language and numeracy.  


After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can, however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £29 or in PDF format at the cost of £19.

    • PDF certificate’s turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days

Why choose us?

      • Affordable, engaging & high-quality e-learning study materials;
      • Tutorial videos/materials from the industry-leading experts;
      • Study in a user-friendly, advanced online learning platform;
      • Efficient exam systems for the assessment and instant result;
      • The UK & internationally recognised accredited qualification;
      • Access to course content on mobile, tablet or desktop from anywhere, anytime;
      • The benefit of career advancement opportunities;
      • 24/7 student support via email.

Career path

Develop Your Career Plan is a useful qualification to possess and would be beneficial for any related profession or industry. 

Course Curriculum

Data Science and Machine Learning Course Intro
Data Science and Machine Learning Introduction 00:03:00
What is Data Science 00:10:00
Machine Learning Overview 00:05:00
Who is This Course for 00:03:00
Data Science and Machine Learning Marketplace 00:05:00
Data Science and Machine Learning Job Opportunities 00:03:00
Data Types and Structures in R
Getting Started With R
Getting Started 00:11:00
Basics 00:06:00
Files 00:11:00
RStudio 00:07:00
Tidyverse 00:05:00
Resources 00:04:00
Data Types and Structures in R
Unit Introduction 00:30:00
Basic Type 00:09:00
Vector Part One 00:20:00
Vectors Part Two 00:25:00
Vectors – Missing Values 00:16:00
Vectors – Coercion 00:14:00
Vectors – Naming 00:10:00
Vectors – Misc 00:06:00
Creating Matrics 00:31:00
List 00:32:00
Introduction to Data Frames 00:19:00
Creating Data Frames 00:20:00
Data Frames: Helper Functions 00:31:00
Data Frames Tibbles 00:39:00
Intermediate R
Intermediate Introduction 00:47:00
Relational Operations 00:11:00
Conditional Statements 00:11:00
Loops 00:08:00
Functions 00:14:00
Packages 00:11:00
Factors 00:28:00
Dates and Times 00:30:00
Functional Programming 00:37:00
Data Import or Export 00:22:00
Database 00:27:00
Data Manipulation in R
Data Manipulation in R Introduction 00:36:00
Tidy Data 00:11:00
The Pipe Operator 00:15:00
The Filter Verb 00:22:00
The Select Verb 00:46:00
The Mutate Verb 00:32:00
The Arrange Verb 00:10:00
The Summarize Verb 00:23:00
Data Pivoting 00:43:00
JSON Parsing 00:11:00
String Manipulation 00:33:00
Web Scraping 00:59:00
Data Visualization in R
Data Visualization in R Section Intro 00:17:00
Getting Started 00:16:00
Aesthetics Mappings 00:25:00
Single Variable Plots 00:37:00
Two Variable Plots 00:21:00
Facets, Layering, and Coordinate Systems 00:18:00
Styling and Saving 00:12:00
Creating Reports with R Markdown
Creating with R Markdown 00:29:00
Building Webapps with R Shiny
Introduction to R Shiny 00:26:00
A Basic R Shiny App 00:31:00
Other Examples with R Shiny 00:34:00
Introduction to Machine Learning
Machine Learning Part 1 00:22:00
Machine Learning Part 2 00:47:00
Starting A Career in Data Science
Starting a Data Science Career Section Overview 00:03:00
Data Science Resume 00:04:00
Top Freelance Websites 00:05:00
Personal Branding 00:05:00
Importance of Website and Blog 00:04:00
Networking Do’s and Don’ts 00:04:00

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