Session ID: 10912

Abstract: Data is everything in Today's world. How can you use the existing data and make something out of it? Do you need a PHD in Mathematics? Do you need a Super computer to Analyze Data? What GPU's do you need? How can you Transition from your current Role to a Data Scientist and Machine Learning Expert? All these topics will be discussed in this presentation. This Presentation will give a 10,000-foot overview of Data Analytics and Machine Learning. Also, you will learn about Python, Modules used and get answers to all the questions regarding the Topic! Also learn about some of the projects you can implement!

Objective 1: Differences between Data Analytics, Data Science, Machine Learning and Artificial Intelligence!

Objective 2: Learn about Data Science and Machine Learning

Objective 3: Tools needed to Learn Data science and Analytics like Python and R

Objective 4: Modules of Python like numpy, scipy etc...

Objective 5: Fun Projects you could do!

Audience: User Accounts, Help Desk, Trainer