Curriculum

28 Chapters · 28 Lessons

  1. 1

    Book Preview

    1. Practical Data Analytics for BFSI Free preview
  2. 2

    Introduction

    1. (Included in full purchase)

      Introduction

  3. 3

    Section 1

    1. (Included in full purchase)

      Introduction to BFSI Sector, Analytics, and Data Science

  4. 4

    Chapter 1 : Introduction to BFSI and Data-Driven Banking

    1. (Included in full purchase)

      Introduction to BFSI and Data-Driven Banking

  5. 5

    Chapter 2 : Introduction to Analytics and Data Science

    1. (Included in full purchase)

      Introduction to Analytics and Data Science

  6. 6

    Chapter 3 : Major Areas of Analytics Utilization

    1. (Included in full purchase)

      Major Areas of Analytics Utilization

  7. 7

    Section 2

    1. (Included in full purchase)

      Data Governance and Infrastructures

  8. 8

    Chapter 4 : Understanding Infrastructure Behind BFSI for Analytics

    1. (Included in full purchase)

      Understanding Infrastructure Behind BFSI for Analytics

  9. 9

    Chapter 5 : Data Governance and AI/ML Model Governance in BFSI

    1. (Included in full purchase)

      Data Governance and AI/ML Model Governance in BFSI

  10. 10

    Chapter 6 : Domains of BFSI and Team Planning

    1. (Included in full purchase)

      Domains of BFSI and Team Planning

  11. 11

    Section 3

    1. (Included in full purchase)

      Business Developmnent and Lead Generation

  12. 12

    Chapter 7 : Customer Demographic Analysis and Customer Segmentation

    1. (Included in full purchase)

      Customer Demographic Analysis and Customer Segmentation

  13. 13

    Chapter 8 : Text Mining and Social Media Analytics

    1. (Included in full purchase)

      Text Mining and Social Media Analytics

  14. 14

    Chapter 9 : Lead Generation Through Analytical Reasoning and Machine Learning

    1. (Included in full purchase)

      Lead Generation Through Analytical Reasoning and Machine Learning

  15. 15

    Chapter 10 : Cross Sell and Up Sell of Products Through Machine Learning

    1. (Included in full purchase)

      Cross Sell and Up Sell of Products Through Machine Learning

  16. 16

    Section 4

    1. (Included in full purchase)

      Business Optimization

  17. 17

    Chapter 11 : Pricing Optimization

    1. (Included in full purchase)

      Pricing Optimization

  18. 18

    Chapter 12 : Data Envelopment Analysis

    1. (Included in full purchase)

      Data Envelopment Analysis

  19. 19

    Chapter 13 : ATM Cash Replenishment

    1. (Included in full purchase)

      ATM Cash Replenishment

  20. 20

    Chapter 14 : Unstructured Data Analytics

    1. (Included in full purchase)

      Unstructured Data Analytics

  21. 21

    Section 5

    1. (Included in full purchase)

      Risk, Fraud, and Compliance

  22. 22

    Chapter 15 : Fraud Modelling

    1. (Included in full purchase)

      Fraud Modelling

  23. 23

    Chapter 16 : Detection of Money Laundering and Analysis

    1. (Included in full purchase)

      Detection of Money Laundering and Analysis

  24. 24

    Chapter 17 : Credit Risk and Stressed Assets

    1. (Included in full purchase)

      Credit Risk and Stressed Assets

  25. 25

    Section 6

    1. (Included in full purchase)

      Future Scope and Developments

  26. 26

    Chapter 18 : High Performance Architectures: On-Premises and Cloud

    1. (Included in full purchase)

      High Performance Architectures: On-Premises and Cloud

  27. 27

    Chapter 19 : Growing Trends in the Data-Driven Future of BFSI

    1. (Included in full purchase)

      Growing Trends in the Data-Driven Future of BFSI

  28. 28

    Index

    1. (Included in full purchase)

      Index

About the course

Are you looking to unlock the transformative potential of data analytics in the dynamic world of Banking, Financial Services, and Insurance (BFSI)? This book is your essential guide to mastering the intricate interplay of data science and analytics that underpins the BFSI landscape. Designed for intermediate-level practitioners, as well as those aspiring to join the ranks of BFSI analytics professionals, this book is your compass in the data-driven realm of banking. Address the unique challenges and opportunities of the BFSI sector using Artificial Intelligence and Machine Learning models for a data driven analysis. This book is a step by step guide to utilize tools like IBM SPSS and Microsoft Power BI. Hands-on examples that utilize Python and SQL programming languages make this an essential guide. The book features numerous case studies that illuminate various use cases of Analytics in BFSI. Each chapter is enriched with practical insights and concludes with a valuable multiple-choice questionnaire, reinforcing understanding and engagement. This book will uncover how these solutions not only pave the way for increased profitability but also navigate risks with precision and elevate customer support to unparalleled heights.

About the Author

Bharat Sikka is a Mumbai-based Data Scientist at TransUnion with an MS from Royal Holloway, University of London. He specializes in machine learning and data analytics using Python, R, MATLAB, and tools like Power BI and Tableau. He authored Elements of Deep Learning for Computer Vision and reviews technical publications. A travel and food enthusiast, he contributes regularly to data science journals. Dr. Priyender Yadav, Chief Manager at SBI, holds a Ph.D. and MBA in Statistics and has 19+ years of experience in banking analytics and AI/ML product development, with 15+ journal publications. Dr. Prashant Verma, Asst. Professor at Allahabad University, formerly at SBI and TCS, has published extensively in international journals and books. He has received multiple research awards and presents at global conferences.