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Getting Started with Data Science: Making Sense of Data with
Analytics: Making Sense of Data with Analytics (IBM Press)
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Series: IBM Press Paperback: 602 pages Publisher: IBM Press; 1 edition (December 13, 2015) Language:
English ISBN-10: 0133991024 ISBN-13: 978-0133991024 Product Dimensions: 1.4 x 6.9 x 8.9 inches
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Book Description
Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy!
Harvard Business Review recently called data science “The Sexiest Job of the 21st Century.” It’s
not just sexy: For millions of managers, analysts, and students who need to solve real business
problems, it’s indispensable. Unfortunately, there’s been nothing easy about learning data
science–until now. Getting Started with Data Science takes its inspiration from worldwide bestsellers
like Freakonomics and Malcolm Gladwell’s Outliers: It teaches through a powerful
narrative packed with unforgettable stories. Murtaza Haider offers informative, jargon-free
coverage of basic theory and technique, backed with plenty of vivid examples and hands-on
practice opportunities. Everything’s software and platform agnostic, so you can learn data science
whether you work with R, Stata, SPSS, or SAS. Best of all, Haider teaches a crucial skillset most
data science books ignore: how to tell powerful stories using graphics and tables. Every chapter is
built around real research challenges, so you’ll always know why you’re doing what you’re doing.
You’ll master data science by answering fascinating questions, such as: • Are religious individuals
more or less likely to have extramarital affairs? • Do attractive professors get better teaching
evaluations? • Does the higher price of cigarettes deter smoking? • What determines housing
prices more: lot size or the number of bedrooms? • How do teenagers and older people differ in
the way they use social media? • Who is more likely to use online dating services? • Why do some
purchase iPhones and others Blackberry devices? • Does the presence of children influence a
family’s spending on alcohol? For each problem, you’ll walk through defining your question and
the answers you’ll need; exploring how others have approached similar challenges; selecting your
data and methods; generating your statistics; organizing your report; and telling your story.
Throughout, the focus is squarely on what matters most: transforming data into insights that are
clear, accurate, and can be acted upon.

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