Skip to content
R Programming for Data Science Level 3, 4 & 5 cover image

R Programming for Data Science Level 3, 4 & 5
Imperial Academy

Level 5 QLS Endorsed Course | Endorsed Certificate Included | Plus 5 Career Guided Courses | CPD Accredited

Summary

Price
£150 inc VAT
Or £50.00/mo. for 3 months...
Study method
Online
Duration
15 hours · Self-paced
Access to content
1 year
Qualification
No formal qualification
CPD
15 CPD hours / points
CPD What's this?
Achievement
Endorsed by The Quality Licence Scheme
Certificates
  • Certificate of completion - Free
Assessment details
  • Multiple Choice Questions (MCQ)/Assignment (included in price)
Additional info
  • Tutor is available to students

Add to basket or enquire

Buy with Apple Pay Buy with Google Pay

AI overview

AI generated content may contain mistakes

Unlock the power of data analysis with R programming. This comprehensive course covers fundamental concepts, data manipulation, visualization, and advanced topics in R - equipping you with the skills to extract meaningful insights from data.

What you'll learn
  • Understand the fundamentals of data science and the R programming language
  • Familiarise with RStudio and the R programming environment
  • Manipulate and analyse data using data frames, lists, operators, conditional statements, and functions
  • Create data visualizations in R
Who the course is for
  • Students and professionals who want to learn data science and R programming
  • Data analysts, programmers, and entrepreneurs looking to enhance their data skills
  • Suitable for learners with no prior experience in R or data science
Key features
  • Suitable for learners wanting flexibility
  • Includes 5 additional CPD-accredited courses
Skills & outcomes
  • Skills-based course designed to build practical knowledge in R programming and data science
  • Successful completion earns a Level 5 Endorsed Diploma, adding valuable credentials to your resume
  • Covers skills beneficial for roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst
  • Includes 15 CPD points

Was this helpful?

Overview

Imagine extracting meaningful insights from vast amounts of data with just a few lines of code. Imagine visualising complex data sets and presenting them in an understandable format to your colleagues and clients. That's the power of R Programming for Data Science.

R Programming is essential for data scientists, statisticians, and researchers. This programming language lets you manipulate, analyse, and visualise data quickly. It's an open-source language that has gained widespread popularity due to its flexibility, robustness, and statistical capabilities.

With our course, you will learn the fundamental concepts of R Programming and how to use it for data analysis, visualisation, and modelling. You will learn to manipulate data frames, clean and preprocess data, and build predictive models using machine learning algorithms.

This course is endorsed by the Quality Licence Scheme, which means you can be sure that the content is of the highest quality. Learners will receive a Level 5 Endorsed certificate hardcopy upon course completion, adding valuable credentials to their resumes.

And that's not all. We're also giving away five career-guided courses for free with this QLS course. You can choose from our Career Development Plan Fundamentals, Networking Skills for Personal Success, Boost Your Confidence and Self-Esteem, CV Writing and Job Searching, or Learn to Reduce and Manage Stress courses.

So why wait? Sign up for our R Programming for Data Science course today and unlock the power of data analysis with R programming.

This Bundle Comprises The Following Courses:

QLS Endorsed Course:

  • Course 01: Diploma in R Programming for Data Science at QLS Level 5

CPD QS Accredited Courses:

  • Course 01: Career Development Plan Fundamentals
  • Course 02: Networking Skills for Personal Success
  • Course 03: Boost Your Confidence and Self-Esteem
  • Course 04: CV Writing and Job Searching
  • Course 05: Learn to Reduce and Manage Stress

Learning Outcomes:

  • Understand the fundamentals of data science and the R programming language.
  • Familiarise with RStudio and the R programming environment.
  • Comprehend basic data types such as vectors, matrices, and factors and their usage in data manipulation and analysis.
  • Master data frames, lists, relational operators, and logical operators and their usage in data manipulation and analysis.
  • Develop proficiency in conditional statements, loops, and functions and their usage in data manipulation and analysis.
  • Learn and use R packages, apply family functions, regular expressions, dates and times, and data manipulation using the Dplyr package.
  • Create and plot data visualisations in R.

Achievement

Certificates

Certificate of completion

Hard copy certificate - Included

Assessment details

Multiple Choice Questions (MCQ)/Assignment

Included in course price

CPD

15 CPD hours / points
Accredited by CPD Quality Standards

Course media

Description

R Programming for Data Science Level 3, 4 & 5:

This course is designed to provide individuals with a comprehensive understanding of data science and R programming. The course includes three levels: Level 3, Level 4, and Level 5.

Level 3 Curriculum provides an overview of data science and introduces students to R programming language. This level consists of six units: Data Science Overview, R and RStudio, Introduction to Basics, Vectors, Matrices, and Factors.

Level 4 Curriculum focuses on data manipulation and analysis using R. This level consists of seven units: Data Frames, Lists, Relational Operators, Logical Operators, Conditional Statements, Loops, and Functions.

Level 5 Curriculum focuses on advanced topics in data manipulation and analysis using R.

Certificate

  • In pursuing this QLS-endorsed course, learners attain a profound understanding and amplify their professional prowess, enriching their curriculum vitae.
  • The Quality Licence Scheme stands as a reputable and distinguished endorsement, emblematic of exceptional standards and excellence throughout the UK.
  • Upon completion, learners will receive a Diploma in R Programming for Data Science at QLS Level 5 Endorsed hard copy certificate, making it easy for them to showcase their achievements.

Please Note: Imperial Academy is One Education approved resale partner for Quality Licence Scheme Endorsed courses.

Who is this course for?

This course is suitable for the following:

  • Students and professionals who want to learn data science and R programming language.
  • Professionals who want to upskill themselves for better career opportunities.
  • Data analysts who want to enhance their data manipulation and analysis approaches using R.
  • Programmers who want to learn data science.
  • Entrepreneurs who want to learn data science to improve their business decisions.

Requirements

Anyone can enrol in this R Programming for Data Science course.

Career path

  • Data Analyst - £22k-£51k per year
  • Data Scientist - £29k-£72k per year
  • Business Intelligence Analyst - £27k-£57k per year
  • Machine Learning Engineer - £36k-£98k per year
  • Data Engineer - £30k-£75k per year
  • Database Administrator - £25k-£60k per year
  • Statistician - £25k-£65k per year

Questions and answers

Currently there are no Q&As for this course. Be the first to ask a question.

Ask a question

Reviews

Currently there are no reviews for this course. Be the first to leave a review.

Leave a review

Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
View all
Similar subjects: Coding, Data science, IT
Related searches: R courses, Online courses

Interest free credit agreements provided by Zopa Bank Limited trading as DivideBuy are not regulated by the Financial Conduct Authority and do not fall under the jurisdiction of the Financial Ombudsman Service. Zopa Bank Limited trading as DivideBuy is authorised by the Prudential Regulation Authority and regulated by the Financial Conduct Authority and the Prudential Regulation Authority, and entered on the Financial Services Register (800542). Zopa Bank Limited (10627575) is incorporated in England & Wales and has its registered office at: 1st Floor, Cottons Centre, Tooley Street, London, SE1 2QG. VAT Number 281765280. DivideBuy's trading address is First Floor, Brunswick Court, Brunswick Street, Newcastle-under-Lyme, ST5 1HH. © Zopa Bank Limited 2025. All rights reserved.