Diploma

Python for Data Analytics

This course provides understanding of python as a tool to handle the data analytics tools. Different modeling techniques and algorithms are explored in this course to address management problems.

Taught by Prof. Ramesh Anbanandam

Code BSMS2201

Credits 4 Credits

Type Diploma

Prerequisites

Foundation

12-Week Roadmap

Course Structure & Syllabus

For details of standard term assessment timelines and exam structures, visit our Academics page.

Week 1

Introduction to Python: basics of python, loops, functions

Week 2

Libraries in Python: Pandas, application in management

Week 3

Libraries in Python: NumPy and SciPy, application in management

Week 4

Data import, cleaning, and visualization in Python

Reading List

Prescribed Books & References

J Han, M Kamber and J Pei. Data Mining: Concepts and Techniques. Cengage Learning, Fourth edition
C. R. Severance, Python for Everybody ( https://www.py4e.com/book )
J C. Hull, Machine Learning in Business: An Introduction to the World of Data
R E. Stine, D Foster, Statistics for Business: Decision Making and Analysis, Pearson, Third Edition.

Faculty & Experts

About the Instructors

Prof. Ramesh Anbanandam

Professor , Department of Management Studies , Indian Institute of Technology Roorkee

Prof. Ramesh Anbanandam is a Professor at the Indian Institute of Technology Roorkee with expertise in transportation and supply chain management. His research focuses on sustainable multimodal logistics, humanitarian and healthcare supply chains, waste management, and electric vehicle adoption, with growing interest in AI applications in these domains.

He teaches a wide range of management and analytics courses, including supply chain management, data analytics, project management, and emerging areas such as IoT and circular supply chains. He has supervised multiple PhD and M.Tech students and received the Outstanding Teacher Award (2022) from IIT Roorkee.

Prof. Ramesh has edited and authored several academic books, organised major international conferences, and contributed significantly to NPTEL courses. He is actively involved in academic administration and professional societies, and currently serves as Associate Editor of the International Journal of Revenue Management.

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