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R Programming for Data Analysis
Learning Facility

PDF Certificate Included | Level 3 Training | CPD IQ Accredited | Lifetime Access

Summary

Price
Save 6%
£15 inc VAT (was £15.99)
Offer ends 19 September 2026
Study method
Online, On Demand 
Course format
8 PDFs and 1 Assessment
Duration
0.9 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Certificate of Completion - Free
  • Reed Courses Certificate of Completion - Free
  • Transcript Of Modules - £9.99
  • Hardcopy Certificate of Completion - £29
  • Hardcopy Transcript Of Modules - £29

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Overview

Turn complex information into clear insights and make better decisions with modern data skills. Build a valuable foundation for working with data, technology, and business information in a fast-changing digital world.

This course provides an accessible introduction to R Programming for learners who want to understand how data can be collected, organised, explored, analysed, and presented effectively. It introduces essential Coding concepts and shows how statistical methods can be used to identify patterns, trends, and useful insights. Learners will also explore how analytical skills can support areas such as reporting, Google analytics, technology, and Business decision-making. The course is designed to make technical concepts easier to understand, making it suitable for beginners as well as those looking to strengthen their existing knowledge.

Certificates

Curriculum

This course contains

Format: 8 PDFs and 1 Assessment

Duration: 0h and 55m

    • 1: Module 1 Introduction to R Programming 09:00
    • 2: Module 2 Introduction to Workspaces and Data Management 08:00
    • 3: Module 3 Introduction to R Objects 08:00
    • 4: Module 4 Introduction to Conditional Statements and Loops 08:00
    • 5: Module 5 Introduction to Data Visualization Techniques 08:00
    • 6: Module 6 Introduction to Statistical Functions in R 12:00
    • 7: Assignment -
    • 8: Review Request 01:00
    • 9: Claim Your Certificate 01:00

Description

The course explores the key principles behind modern Data analysis and introduces learners to the role of R Programming in handling and interpreting information. Topics cover fundamental programming concepts, working with datasets, organising information, identifying trends, interpreting results, and presenting findings clearly. Learners will develop an understanding of how analytical thinking can be applied across different industries and workplace situations, including IT and Business environments.

By the end of the course, learners will have a stronger understanding of how Coding can be used to work with information and support evidence-based decisions. The knowledge gained can also complement existing experience in Google analytics, reporting, technology, or other data-focused areas. Rather than focusing only on technical terminology, the course aims to build a clear understanding of concepts that can be applied to real workplace requirements.

Who is this course for?

  • Beginners interested in Data analysis and programming
  • Students looking to develop technology-related skills
  • Professionals who regularly work with reports, datasets, or business information
  • Individuals considering a career in analytics, IT, or Business
  • Anyone wanting to develop a stronger foundation in statistical and analytical techniques

Requirements

  • Basic computer literacy
  • An interest in working with data and technology
  • No advanced programming knowledge is required
  • A willingness to learn fundamental analytical concepts

Career path

This course can support progression towards roles such as:

  • Data Analyst
  • Junior Data Analyst
  • Business Analyst
  • Reporting Analyst
  • Data-related IT roles
  • Analytics Assistant

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FAQs

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