Skip to content

R Essentials: Data Analysis, Statistics & Visualization Mastery
Global Courses

7 Free PDF Certificates | 2025 R Programming & Data Analysis Courses | Learn Online UK | Real Tutor Support

Summary

Price
£570 inc VAT
Or £63.33/mo. for 9 months...
Study method
Online
Course format
Video
Duration
28 hours · Self-paced
Access to content
Lifetime access
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free
Assessment details
  • Final Exam (included in price)
  • Assignment (included in price)
Additional info
  • Tutor is available to students
1 student purchased this course

Add to basket or enquire

Buy with Apple Pay Buy with Google Pay

Overview

Master the language of data with the R Essentials: Data Analysis, Statistics & Visualisation Mastery bundle. Designed for UK learners, this seven-course programme gives you a complete pathway from statistical fundamentals to advanced data analysis and visualisation techniques.

Included Courses:

  • Statistics Level 3 Advanced Diploma

  • Statistics Level 5 Advanced Diploma

  • Statistics Level 7 Advanced Diploma

  • Data Analysis with NumPy and Pandas: Practical Techniques in Python

  • Data Visualisation in Python: From Matplotlib to Plotly

  • Applied Machine Learning with Python: Regression and Classification

  • Statistical Data Analysis with SPSS: Complete Guide to T-Tests, ANOVA, and Regression

Across these seven R courses, you’ll learn how to apply statistical thinking, work with datasets, and visualise results for decision-making. Even though several modules include Python and SPSS, the overall framework builds transferable data analysis and visualisation skills relevant to R programming.

Certificates

Certificate of completion

Digital certificate - Included

Assessment details

Final Exam

Included in course price

Assignment

Included in course price

Course media

Description

The R Essentials bundle brings together the analytical rigour of statistics and the practical application of modern data tools. You’ll develop confidence in quantitative reasoning, statistical testing, and the communication of insights through visualisation.

Statistics Level 3 Advanced Diploma
Learn core statistical principles such as descriptive statistics, correlation, and probability — the foundation of all data analysis in R.

Statistics Level 5 Advanced Diploma
Advance to hypothesis testing, confidence intervals, and regression models. Learn to interpret data accurately and present results clearly.

Statistics Level 7 Advanced Diploma
Master advanced statistical modelling, multivariate analysis, and predictive analytics. Understand how to use R for large-scale data exploration and forecasting.

Data Analysis with NumPy and Pandas: Practical Techniques in Python
Gain hands-on experience with structured data manipulation. Learn how these techniques translate into R using packages like dplyr and tidyr.

Data Visualisation in Python: From Matplotlib to Plotly
Explore data storytelling through charts and dashboards. Learn visual principles transferable to R’s ggplot2 and plotly libraries.

Applied Machine Learning with Python: Regression and Classification
Understand how algorithms work and how to implement them in R. Learn regression, classification, and model evaluation frameworks.

Statistical Data Analysis with SPSS: Complete Guide to T-Tests, ANOVA, and Regression
Compare statistical workflows in SPSS and R to understand testing, analysis, and data reporting across tools.

By completing all seven courses, you’ll have mastered the principles of R programming, data analysis, and visualisation — ready for use in academic research, business analytics, or data science.

Certification

Receive seven free PDF certificates upon completion. Each certificate validates your expertise in statistics, data visualisation, and analytical methods. Optional premium printed certificates are available for portfolios or professional advancement.

Who is this course for?

  • Aspiring data analysts and R programmers in the UK

  • Students studying statistics or data science

  • Researchers and academics analysing datasets in R

  • Business professionals and managers using data to make decisions

  • Python or SPSS users expanding into R programming

  • Anyone passionate about mastering R for statistical analysis and visualisation

Completing this programme builds a comprehensive R skill set focused on statistical accuracy, analysis, and data storytelling.

Requirements

  • No prior programming or statistics experience required

  • Basic maths and computer literacy

  • Access to R and RStudio (free to download)

  • Interest in data analysis, statistics, or data science

  • Tutor and learner support provided throughout

Career path

  • Data Analyst or Data Scientist

  • Statistical Researcher

  • Business Intelligence Specialist

  • Machine Learning Analyst

  • Research Assistant or Academic Analyst

  • Data Visualisation Expert

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: R, Coding
Related searches: Data analysis courses, Analytics courses, Statistics 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.