---
url: "https://xcademia.com/courses/r-for-analysis"
title: "R for Analysis "
description: "Learn practical R data analysis skills including data cleaning, exploration, and visualisation through mentor-led labs and real-world analytical scenarios."
publishedAt: "2026-03-18T04:23:34.551389+00:00"
updatedAt: "2026-04-24T12:00:03.500996+00:00"
type: course
code: "AID-0061"
level: Practitioner
duration_days: "3"
track: "Python, R & SQL for Data"
category: "AI, Data & Analytics"
credential_tier: tier1
price_gbp: "1999"
---

# R for Analysis 

## Overview

R has become one of the most widely used tools for statistical analysis, research, and data exploration. This course provides a structured introduction to analysing real datasets using R, focusing on practical workflows used by analysts, researchers, and data professionals.

Across three mentor-led days, learners work through practical scenarios including data cleaning, transformation, exploratory analysis, and visualisation using modern R libraries. The course emphasises reproducibility, clear reporting, and effective analytical thinking.

By the end of the programme, participants will be able to work confidently with datasets, apply analytical techniques, and communicate insights clearly using R notebooks and visualisations suitable for professional environments.

## Prerequisites

- Basic computer literacy.
- Familiarity with spreadsheets or data tables.
- Interest in data analysis and statistics.

## What you will learn

- Design analytical workflows using R tools
- Analyse datasets using statistical methods
- Implement data preparation and transformation steps
- Evaluate trends using exploratory analysis techniques
- Communicate insights using visualisations and reports
- Lead structured data analysis projects

## Skills you will gain

- R programming fundamentals
- Data cleaning techniques
- Exploratory data analysis
- Data visualisation with ggplot2
- Reproducible analytical workflows
- Dataset transformation methods

## Career progression

- Data Analyst
- Business Analyst
- Research Analyst
- Junior Data Scientist

## Curriculum

1. **Module 1: Getting Ready**
   - Installing R and RStudio environment
   - Understanding R projects and workflows
   - Working with scripts and notebooks
   - Using packages and libraries
2. **Module 2: R Programming Foundations**
   - R syntax and data structures
   - Vectors, lists, matrices, data frames
   - Working with functions and scripts
   - Basic data operations in R
3. **Module 3: Data Preparation and Cleaning**
   - Importing datasets from files
   - Handling missing and inconsistent data
   - Data transformation with tidyverse
   - Filtering, selecting, and reshaping data
4. **Module 4: Exploratory Data Analysis**
   - Descriptive statistics in R
   - Identifying trends and patterns
   - Grouping and summarising data
   - Working with real datasets
5. **Module 5: Data Visualisation with ggplot2**
   - Principles of effective visualisation
   - Creating charts and plots
   - Customising graphs for insights
   - Visual storytelling with data
6. **Module 6: Reproducible Analysis and Reporting**
   - R Markdown and notebooks
   - Building analysis reports
   - Sharing reproducible workflows
   - Communicating analytical findings

## Exam & certification

You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**Do I need programming experience to join this course?**

Basic technical familiarity is helpful, but the course starts with core R programming foundations.



**Will I work with real datasets?**

Yes, the course uses practical datasets to replicate real analytical scenarios.



**Is this course suitable for beginners in data analysis?**

Yes, it is designed for learners starting their journey into data analysis with R.



**Will we learn data visualisation?**

Yes, learners create professional visualisations using the ggplot2 library.



**Do I receive a certificate after completion?**

Yes, participants receive a Certificate of Completion after finishing the programme.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | AID-0061 |
| Duration | 3 days |
| Level | Practitioner |
| Track | Python, R & SQL for Data |
| Category | AI, Data & Analytics |
| Credential tier | tier1 |
| Price (GBP) | £1999 |

---

## About this content

This Markdown course profile is the citation-grade twin of [R for Analysis ](https://xcademia.com/courses/r-for-analysis). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

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- Source: https://xcademia.com/courses/r-for-analysis
- Publisher: Xcademia — https://xcademia.com
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