Global Learning for Operational Leaders
Classroom
14 sessions
Scroll for more
Online / Live
14 sessions
Scroll for more
Introduction
Course overview
R is a powerful open-source language for statistical analysis and visualisation, widely used in research, finance, healthcare and analytics teams.
This Aractech course introduces R programming, data import and manipulation with tidyverse tools, visualisation with ggplot2, statistical analysis, reproducible reports and automation. Participants complete practical analysis projects. No prior programming experience is required.
What you will achieve
Learning objectives
- Write basic R programs
- Import and manipulate data
- Create visualisations with ggplot2
- Perform statistical analyses
- Produce reproducible reports
- Automate analysis workflows
Who should attend
Target audience
- Data and business analysts
- Researchers
- Statisticians
- Finance and healthcare analysts
- Students and graduates
- Professionals moving into analytics
Methodology
Learning approach
- Hands-on coding labs
- Demonstrations
- Practice exercises
- Mini projects
- Capstone project
Complete course outline
Five focused days of learning and application
The timings provided are estimates and may vary depending on the number of participants and the discussions taking place during the sessions. They are indicative only and do not constitute a binding commitment.
Day 1
R Fundamentals
- R and RStudio
- Data types
- Vectors and data frames
- Functions
- Coffee break
- Functions (continued)
- Packages
- Lab: First R scripts
Day 2
Data Manipulation
- Importing data
- Filtering and selecting
- Grouping and summarising
- Joining data
- Coffee break
- Joining data (continued)
- Reshaping
- Lab: Data wrangling
Day 3
Visualisation
- ggplot2 basics
- Chart types
- Customisation
- Coffee break
- Customisation (continued)
- Faceting
- Lab: Building charts
Day 4
Statistical Analysis
- Descriptive statistics
- Hypothesis tests
- Regression
- Coffee break
- Regression (continued)
- Interpretation
- Lab: Analysis project
Day 5
Reports and Automation
- R Markdown and reports
- Automation
- Best practices
- Coffee break
- Best practices (continued)
- Next steps
- Capstone: Analysis report
FAQ
Frequently asked questions
What does R Programming for Data Analysis (DMBI-031) cover?
This course covers Data Management and Business Intelligence through a structured five-day outline focused on practical application, discussion, and implementation planning.
When is the next available session?
The next scheduled session starts on 2 - 6 November 2026. See the course schedules section for the available dates and delivery formats.
Who should attend this course?
Data and business analysts, Researchers, Statisticians
Is bilingual course delivery available?
Yes. All course materials and presentations are provided in English, while bilingual explanation and discussion support may be available depending on the selected location and trainer availability. For example, when attending a course in Istanbul, you may request a Turkish-speaking trainer to explain the English course content in Turkish. Arabic explanation support may also be requested at this location. Other languages are available in selected cities. You can choose your preferred language support as an optional preference during registration.
How can I register for a session?
Use any Register button next to the available course dates to open the participant registration page and submit your booking request for the selected session.
Is this course available online as well as classroom-based?
Check the course schedules section for currently published classroom and Online / Live sessions.
Where are classroom sessions delivered?
Current classroom venues include London, Munich, Frankfurt, Barcelona, Rome, Kuala lumpur.
How long is the training programme?
The programme runs for five days from 09:00 to 14:00, which gives 25 contact hours, including a daily 30-minute break (22.5 hours of instruction).
Quick request
Send quick request
Send a fast enquiry about this course and the academy team will get back to you.
Get a quotation
Request a formal quotation
Choose an available date and venue, add your participants, and we will email a formal quotation for R Programming for Data Analysis to your business address.