Page 2 - The Real Work Of Data Science Turning Data Into Information, Better Decisions, And Stronger Organizations by Ron S. Kenett, Thomas C. Redman (z-lib.org)_Neat

Much needed!
Neil Lawrence
Professor of Machine Learning at the University of Sheffield and Machine Learning team
manager at Amazon
More than 80% of data science projects fail, either partially or wholly, at the implementation
stage. There is a wealth of books on the technical and mechanical aspects of data science, but
little to guide data scientists and managers on the holistic integration of data science into
organizations in a way that produces success. This well-written book fills that gap.
Peter Bruce
Founder and Chief Academic Officer, The Institute for Statistics Education

C’est livre est très intéressant et plein de très bonnes choses intelligentes et utiles. Il sera sans
nul doute très précieux.

Jean Michel Poggi
Professor of Statistics at Paris-Descartes University and Mathematics Laboratory, Orsay
University, Paris, France, Past President of the Société Française de Statistique and Vice-President
of the Federation of European National Statistical Societies

I like the very direct and succinct style. You are certainly right on target when you say you
can’t stress enough the importance of understanding the real problem. Other of your points in
Chapter 1 really hit home, such as data scientists spending more time on data quality than
on analysis. (I’m glad they do.) Further, you are absolutely correct that data scientists must
translate their results into the language of the decision-maker. I also recognize the liberal use
of anecdotes in the book. For instance, the remarks about Bill Hunter, the ice cream sales, the
Pokémon experiment, etc. I personally like this, and I do this in all of my speeches since
I think it really hooks the audience.
Barry Nussbaum
Past Chief Statistician, the United States Environmental Protection Agency and Past President
of the American Statistical Association

I think this book is excellent for an introductory course in data science. It could be used with
students at university level or with professionals in specialist courses.

Luciana Dalla Valle
Lecturer in Statistics and Programme Manager of the MSc Data Science and Business
Analytics, School of Computing, Electronics and Mathematics, Plymouth University, UK

The Real Work of Data Science addresses the softer issues of data science that actually decide on
the success or failure of any data science initiative. It makes the data science and Chief Analytics
Officer roles more understandable and accessible to a wider audience. Choosing the right mod-
eling method is often the key point of discussion in books, although it is just a tiny fraction of the
job to be done. This book prepares you for the harsh reality of data science in the real-world.
Alexander Borek
Global Head of Data & Analytics at Volkswagen Financial Services