Course 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.
Hands-On Learning
Practical dataset labs, exploratory analysis exercises, and guided R notebook projects.
Mentor-Led Sessions
Experienced mentors guide learners through analysis workflows and practical scenarios used in real analytical work.
Career-Ready Skills
Build the analytical, technical, and communication skills required for modern data analysis roles.
Learning Outcomes
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
Prerequisites
Basic computer literacy.
Familiarity with spreadsheets or data tables.
Interest in data analysis and statistics.
Detailed Syllabus
Step-by-step learning journey from basics to professional practice
Topics Covered
- Installing R and RStudio environment
- Understanding R projects and workflows
- Working with scripts and notebooks
- Using packages and libraries
Skills You'll Gain
Master these in-demand skills through hands-on practice
Career Progression
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Ways to Learn
Choose the learning format that works best for you and your team
Live Online
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- Live instructor interaction (real-time)
- Trainer-led walkthroughs and real examples
- Guided resources and session notes provided
- Structured Q&A and practical discussion
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Prefer a Faster, Personalised Route into IT?
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Exam & Certification Information
Everything you need to know about the certification exams
Important Information
You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.
Credential
Certificate of Completion
On successful completion of R for Analysis, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Frequently Asked Questions
Everything you need to know about this course
Basic technical familiarity is helpful, but the course starts with core R programming foundations.
Ready to Start Your Learning Journey?
Take the next step in your professional development