Getting Started with Data Science: Making Sense of Data with Analytics
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. The book covers basic theory and technique, backed with plenty of clear, jargon-free examples and practice opportunities. Everything's software and platform independent, so students can learn what they need whether they work with R, Stata, SPSS, SAS, or another toolset.
Table of Content
Chapter 1 The Bazaar of Storytellers ,Chapter 2 Data in the 24/7 Connected World,Chapter 3 The Deliverable ,Chapter 4 Serving Tables,Chapter 5 Graphic Details ,Chapter 6 Hypothetically Speaking,Chapter 7 Why Tall Parents Don't Have Even Taller Children ,Chapter 8 To Be or Not to Be, Chapter 9 Categorically Speaking About Categorical Data, Chapter 10 Spatial Data Analytics ,Chapter 11 Doing Serious Time with Time Series,Chapter 12 Data Mining for Gold
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Salient Features
"Teaches data analytics with the same popular approach that made Freakonomics and Malcolm Gladwell's books worldwide best-sellers
Covers crucial ingredients for practical success with data analytics -- especially how to create powerful, visual narratives to explain findings and make them actionable
Practical, hands-on, and product independent: supports any tool, application, or environment
Gives students extensive practice -- not just a single example for each concept
By an expert who has crafted 50+ of the world's most popular data analytics instructional videos"
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