Data Analysis with Stata. Explore the big data field and learn how to perform data analytics and predictive modelling in STATA

Prasad Kothari is an analytics thought leader. He has worked extensively with Organizations such as Merck, Sanofi Aventis, Freddie Mac, Fractal Analytics, and the National Institute of Health on various analytics and big data projects. He has published various research papers in the American Journal of Drug and Alcohol Abuse and American public health. Prasad is Industrial engineer from V.J.T.I. and has done M.S. in management Information Systems from University of Arizona. He works closely with different labs at MIT on digital analytics projects and research. He has worked extensively on many statistical tools such as R, Stata, SAS, SPSS and Python. His leadership and analytics skills have been pivotal in setting up analytics practices for various organizations and helping grow them across the globe. Prasad set up a team of fraud investigation at Freddie Mac which is world renowned team and has been known in fraud detection industry as a pioneer in cutting edge analytical techniques. Prasad also set up a team of sales forecasting at Merck and Sanofi Aventis and also helped these Pharmaceutical companies in discovering new ground breaking analytical techniques for drug discovery and clinical trials. Prasad also worked at US Government (Healthcare department at NIH) and consulted on various healthcare analytics projects.

Rahul Sharma is passionately curious about teaching programming. He has been writing software for the last two years. He got started with Rust with his work on Servo, a browser engine by Mozilla Research as part of his GSoC project. At present, he works at AtherEnergy, where he is building resilient cloud infrastructure for smart scooters. His interests include systems programming, distributed systems, compilers and type theory. He is also an occasional contributor to the Rust language and does mentoring of interns on the Servo project by Mozilla.