Overview
| M IT (Data Analytics) | Core | |
| M IT (General) | Elective |
This subject provides a comprehensive introduction to data mining techniques, equipping students with practical skills to extract insights from data using Python and other tools like Postgres SQL and MS Excel. Topics include data preparation, warehousing, visualization, and advanced machine learning algorithms such as clustering, regression, classification, and text mining, with a focus on their application to real-world problems. Ethical and privacy challenges in data mining are also addressed, ensuring responsible use of these techniques. Students will gain hands-on experience through practical assessments aligned with industry standards, preparing them for data-driven decision-making roles in business and technology.
