The Advanced Business Programming in Python provides an introduction to big data handling and analysis and supervised machine learning through Python programming with applications in business settings. Key topics include data analysis and visualization using Python libraries (NumPy, pandas, matplotlib), database handling with SQLite, data extraction with web scraping and API connection, data wrangling, and a glimpse into supervised machine learning (regression and classification). Upon completion, students will be equipped with the programming and analytical skills to engage in data-driven decision-making in modern organizations. This course will also provide the knowledge and training to prepare students for more advanced data analytics and machine learning subjects.

Continuous Assessment: 60%

Examination: 40%