Data Analysis with Stata

Author:   Prasad Kothari
Publisher:   Packt Publishing Limited
ISBN:  

9781782173175


Pages:   176
Publication Date:   28 October 2015
Format:   Paperback
Availability:   Available To Order   Availability explained
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Data Analysis with Stata


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Author:   Prasad Kothari
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
Dimensions:   Width: 7.50cm , Height: 1.00cm , Length: 9.30cm
Weight:   0.313kg
ISBN:  

9781782173175


ISBN 10:   178217317
Pages:   176
Publication Date:   28 October 2015
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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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.

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