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  • 297 Students

  • Certified

Learning Outcome


This course is suitable for any aspiring individual who wants to start their professional career as a data science engineer, data science manager, data scientist, VP of data science, data science consultant or any data science-related field.

In this comprehensive Data Science & Machine Learning with R course, you will deepen your understanding of data manipulation in R, key techniques to create reports with R markdown, data processing, data visualization in R and much more. This comprehensive Data Science & Machine Learning with R basic understanding of data science and gradually cover advanced data science knowledge. Designed by industry experts and professionals, this course is perfect for learners who want to grow their career in the data science field.

Course Design

The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.

You are taught through a combination of

  • Video lessons
  • Online study materials

Certificate of Achievement

Endorsed Certificate of Achievement from the Quality Licence Scheme

After successfully completing the course, learners will be able to order an endorsed certificate as proof of their new achievement. Endorsed certificates can be ordered and get delivered to your home by post for only £129. There is an additional £10 postage charge for international students.

CPD Certification from One Education

After successfully completing the MCQ assessment of this course, you will qualify for the CPD Certificate from One Education, as proof of your continued professional development. Certification is available in PDF format, at the cost of £9, or a hard copy can be sent to you via post, at the cost of £15.


This course has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example, progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website.

Method of Assessment

To assess your learning, you have to complete the assignment questions provided at the end of the course. You have to score at least 60% to pass the exam and to qualify for Quality Licence Scheme endorsed and CPD accredited certificates.

After submitting the assignment, our expert tutor will assess your assignment and will give you feedback on your performance.

After passing the assignment exam, you will be able to apply for a certificate.

Why study this course

Whether you’re an existing practitioner or aspiring professional, this course will enhance your expertise and boost your CV with key skills and certificates attesting to your knowledge.

The Data Science & Machine Learning with R Course is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16.

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
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
Getting Started with Freelancing 00:05:00
Top Freelance Websites 00:05:00
Personal Branding 00:05:00
Importance of Website and Blo 00:04:00
Networking Do’s and Don’ts 00:04:00
Resources – Data Science & Machine Learning with R 00:00:00
Assignment – Data Science & Machine Learning with R 3 weeks, 4 days
Order Your Certificate
Order Your Certificate QLS 00:00:00
  • 1 year
  • Number of Units72
  • Number of Quizzes0
  • 3 weeks, 4 days

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