Getting Started with Data Science : Making Sense of Data with Analytics PDF

Harvard Business Review recently called data science "The Sexiest Job of the 21st Century." It's not just sexy: for millions of managers and students who need to solve business problems with big data, it's indispensable. Unfortunately, there's been nothing sexy about learning data science -- until now.

Getting Started with Data Science takes its approach from worldwide best-sellers like Freakonomics and the books of Malcolm Gladwell: it teaches through a powerful narrative packed with unforgettable stories.

Murtaza Haider offers careful, jargon-free coverage of basic theory and technique, backed with plenty of clear examples and practice opportunities. Everything's software and platform independent, so you can learn what you need whether you work with R, Stata, SPSS, SAS, or another toolset.

Best of all, Haider teaches a crucial skillset most academic data science books ignore: how to transform data into narratives, graphics, and tables that make it vivid and actionable.

For each problem, you'll walk through identifying the right data and methods, creating summary statistics, describing and visualizing findings, and seeing how others have handled the challenge. In advanced chapters, you'll also learn sophisticated statistical modeling techniques. Throughout, the focus is on data: finding it, using it, and powerfully communicating its meaning.