Getting Started with Data Science
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. 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 Murtaza Haider, Ph.D., is an Associate Professor at the Ted Rogers School of Management, Ryerson University and the Director of a consulting firm Regionomics Inc. He is also a visiting research fellow at the Munk School of Global Affairs at the University of Toronto (2014-15). In addition, he is a senior research affiliate with the Canadian Network for Research on Terrorism, Security and Society and an adjunct professor of engineering at McGill University.
| Book | |
|---|---|
| Author | Murtaza Haider |
| Pages | 608 |
| Year | 2016 |
| ISBN | 9789332570252 |
| Publisher | Pearson |
| Language | English |
| Uncategorized | |
| Edition | 1/e |
| Weight | 1.12 kg |
| Dimensions | 20.3 x 25.4 x 4.7 cm |
| Binding | Paperback |