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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