Data Analysis (Python / R)

About this programme

This course provides practical skills in data analysis using Python and R, equipping learners with the ability to collect, clean, transform, analyze, visualize, and interpret data to support informed decision-making. Learners will explore key data analysis concepts and work with real-world datasets using popular tools and libraries such as Pandas, NumPy, Matplotlib, Seaborn, and R. The course emphasizes hands-on learning, enabling participants to identify patterns, trends, relationships, and insights from datasets. Learners will also develop skills in statistical analysis, data visualization, reporting, and presenting analytical findings effectively. By the end of the course, learners will be able to: - Understand fundamental concepts and techniques in data analysis. - Import, clean, organize, and prepare datasets for analysis. - Use Python and R to perform data manipulation and analysis. - Apply descriptive and basic inferential statistical techniques. - Create meaningful charts, graphs, and data visualizations. - Identify trends, patterns, relationships, and anomalies in data. - Analyze real-world datasets and communicate analytical findings. - Develop practical data analysis projects for academic or professional use.

Entry requirements

• Open