This add-on course introduces students to data science concepts, statistical analysis, and Python programming for data-driven decision making in business and research.
Educational Objectives
- Understand core concepts of data science and analytics.
- Learn Python basics for data manipulation and visualization.
- Apply statistical methods for research and business problems.
- Explore machine learning fundamentals and applications.
Course Outcomes
- Write basic Python scripts for data processing.
- Create data visualizations using Python libraries.
- Apply descriptive statistics to analyse datasets.
- Understand and implement basic machine learning models.