by Karthik Shashidhar (@karthiks) on Monday, 25 June 2012
- Data Analytics
- Session type
- Technical level
The explosion in techniques for data and statistical modeling has not really led to the explosion in data-driven insights that one would have expected.
In this section, learn how to answer a business problem using data. Learn how to approach a problem, the kind of questions to ask, the process to gain insight and how to avoid common pitfalls.
In this session, using a case-based approach, I take you through a structured process of data analysis which helps you solve your business problems using data-driven insight.
This is NOT going to be a technical session, and I will not be teaching any actual statistical techniques. I might call upon the use of one or two basic well-known techniques (such as regression), though.
This session is all about the "art" part of data analysis - how to structure your problem, how to attack it, how to gather and clean data, what kind of questions to ask, etc.
A laptop with a spreadsheet program is necessary to completely appreciate the session
Karthik Shashidhar is a freelance quant and data modeling consultant. He has extensive experience in quant and data modeling across financial services, pricing and revenue management, and logistics. While he is well-versed in various techniques in modeling and data science, he believes in a business-centric approach to data modeling problems. He holds a B.Tech. degree from IIT Madras and a PGDM from IIM Bangalore