PGP in Data Science & Business Analytics syllabus covers data analysis, machine learning, statistics, Python, business applications, and more.
The Post Graduate Program (PGP) in Data Science and Business Analytics offers a comprehensive syllabus that equips students with the skills and knowledge needed in the dynamic field of data science. The curriculum typically includes topics such as data collection and preprocessing, statistical analysis, machine learning, data visualization, and big data technologies. Students learn programming languages like Python and R and apply these skills to real-world projects. In addition to technical aspects, the program often covers business analytics, helping students understand how data-driven insights can impact decision-making in various industries. The combination of technical expertise and business acumen prepares graduates to excel in roles that require harnessing data for strategic and operational purposes, making them highly sought-after professionals in the data science and business analytics domain.
S.No | Subjects |
1 | Introduction to Data Science |
2 | Business Finance |
3 | Marketing & CRM |
4 | Statistical Methods for
Decision Making |
5 | SQL Programming |
6 | Data Visualization Using Tableau |
7 | Web & Social Media Analytics |
8 | Machine Learning |
9 | Time Series Forecasting |
10 | Advanced Statistics |
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