Syllabus for E-PGD in Advanced Business Analytics includes statistics, machine learning, data management, big data, and data mining.
The syllabus for an E-PGD (Executive Post Graduate Diploma) in Advanced Business Analytics typically comprises a comprehensive curriculum that equips students with the knowledge and skills required for a successful career in data analytics and business intelligence. Below is a detailed breakdown of the course syllabus:
| S.No | Subjects |
| 1 | Introduction to R & Python |
| 2 | Basic Statistics and Probability |
| 3 | Basic Linear Algebra |
| 4 | Business Analytics in the Real World, Problems, and Data |
| 5 | Probability and Statistics using R and Python |
| 6 | Data Visualization using Tableau |
| 7 | Big Data Management |
| 8 | Regression Analysis |
| 9 | Bayesian Analysis |
| 10 | Machine Learning with Big Data |
| 11 | Textual Data Analytics |
| 12 | Business Simulation |
| 13 | Ethics, Privacy, and Data Security |
| 14 | Driving Organizational Value with Analytics |
| 15 | Public Policy Analytics |
| 16 | Operations Analytics |
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