File Name : the decision maker s handbook to data science.pdf Languange Used : English File Size : 44,9 Mb Total Download : 754 **Please Disable Adblock to Show Download Link**
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Author by : Stylianos Kampakis Languange Used : en Release Date : 2019-11-26 Publisher by : Apress ISBN : 9781484254943 File Size : 50,6 Mb Total Download : 305
Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. It is easy for novices to the subject to feel paralyzed by intimidating buzzwords, but what many don’t realize is that data science is in fact quite multidisciplinary—useful in the hands of business analysts, communications strategists, designers, and more. With the second edition of The Decision Maker’s Handbook
Author by : Jake VanderPlas Languange Used : en Release Date : 2016-11-21 Publisher by : "O'Reilly Media, Inc." ISBN : 9781491912133 File Size : 52,6 Mb Total Download : 932
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types
Author by : Field Cady Languange Used : en Release Date : 2017-02-28 Publisher by : John Wiley & Sons ISBN : 9781119092940 File Size : 45,8 Mb Total Download : 778
A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data science is not just rote application of trainable skill sets; it requires the ability to think flexibly about all these areas and understand the connections between them. This book provides a crash course in data science, combining all the necessary skills into a unified discipline.