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

by Murtaza Haider

Harvard Business Review recently called data science "The Sexiest Job of the 21st Century." It's not just 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 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 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 finding it, using it, and powerfully communicating its meaning.

Genres: Science, Nonfiction, Programming, Technology, Computer Science

Kindle Edition

First published January 24, 2015

Reviews

[Murtaza · Rating 5 out of 5]

An excellent primer on data science, 'Getting Started with Data Science: Making Sense of Data with Analytics' by Murtaza Haider is both an ideal starting point for beginners and a valuable reference for seasoned Data Analytics enthusiasts. Highly recommended for anyone embarking on a Data Science journey.

[Cow · Rating 4 out of 5]

I have already recommended this book to several friends and colleagues.

Professor Murtaza covers the fundamentals of doing data science and analytics, but most importantly, he never compromises on his core philosophy: data science is fundamentally about telling a story, and numbers without a story are just a spreadsheet no one reads. If you want your analysis to matter, to be read and considered, tell the story.

[Russ · Rating 5 out of 5]

Considering a degree or career in data science? If so, this book will test your commitment. It offers a textbook like intro to R programming, probability and statistics. If you aren't comfortable working through this book, you may want to consider a different field.

[Tej · Rating 4 out of 5]

Wonderful basic book on Data Science to start with.

[Sivasailam · Rating 5 out of 5]

Best book to start learning data science concepts. Covers all essential concepts and sample codes to play around with.

[Angeline Vall · Rating 5 out of 5]

Learning Material on online course