Description:

Harvard Business Review hailed data scientist the sexiest job of the 21st Century.

• What is data science?
• Who is a data scientist?
• What's the typical day/week/month routine of a data scientist?
• Can you walk me through a data science project?

This talk will try to answer those questions.

I want to enter the field of data science? What language should I learn? Python. Undoubtedly. Per kdnuggets' 2014 survey, more than 1/3 of data scientists use Python. And it is on the rise.

How about understanding the Python stack for data science, its stability and versality by looking at a detailed example/demo? This talk showcases an entire end-to-end implementation of a data analytics platform.

What is a data analytics platform? This talk will cover that too.

The talk will walk you through the various major stages of a data science project. Particular emphasis will be on:

• Data Munging
• Machine Learning
• Integration with the application (including visualization)

Whoa! That's a lot of tasks. Is it really hard and time-consuming to do this? Well, this was done in about a week. But yes, some parts were time consuming. But Python simplies a lot of those tasks. The talk will show you how!

Prerequisites:

Interest in Analytics

Speaker Info:

Bargava Subramanian is a Senior Statistician(Data Scientist) at Cisco. He has a Masters from University of Maryland, College Park, USA.

Speaker Links:

• Introduction to Classification Methods in Machine Learning, Fifth Elephant 2014, Bangalore
• Data processing using Blaze, BangPypers Jan 2015, Bangalore
• Visualization Libraries in Python, BangPypers Apr 2015, Bangalore