Courses

R for Data Analytics is a 6-week live course designed to build a strong foundation in data analytics and prepare participants to confidently apply R in real-world analytics roles.
The course is held on weekends, consists of two sessions (1–1.5 hours each), and covers key topics such as:
-
What is Data / Types of Data
-
Statistical computations
-
Data manipulation and cleaning
-
Visualisations
-
Outliers detection and handling
It culminates in a capstone project using real-world data, allowing participants to apply their skills in a practical, end-to-end analytics project.
Target Audience & Requirements
-
Designed for individuals looking to build foundational data analytics skills for the workplace
-
No prior coding or data analytics experience required
-
Participants will need a laptop with internet access
Skills Gained
-
Use R to confidently clean, transform, and analyze datasets
-
Apply core statistical concepts to summarize and interpret data
-
Create clear and effective data visualizations to communicate insights
-
Perform exploratory analysis to uncover insights and patterns
-
Develop and deliver data stories that translate analysis into actionable insights

Power BI for Data Analytics
Learn how to use Power BI to clean, analyse, and visualise data, and turn data into meaningful insights.
This practical, 10-hour self-paced online course combines foundational data analysis concepts with hands-on Power BI lessons, helping you understand not just how to use the tool, but how to approach data analysis effectively.
You'll learn key topics including:
-
statistical compuations
-
data cleaning
-
visualisations
-
DAX (data analysis expressions)
-
interactive dashboards
-
working with multiple datasets
-
executive reporting
The course also includes two capstone projects where you'll apply what you've learned to a
-
customer churn analysis
-
loan portfolio analysis.
Whether you're new to Power BI or looking to strengthen your data analytics skills, this course provides a practical foundation for using Power BI to analyse data and generate meaningful insights.
