Getting started with data science: making sense of data with analytics /
Description based on online resource; title from title page (Safari, viewed January 5, 2016). Summary: Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything is software and platform agnostic...
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | Spanish English |
| Published: |
New Jersey:
IBM Press,
2016.
|
| Edition: | Primera edición. |
| Subjects: |
MARC
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| 520 | 3 | |a Description based on online resource; title from title page (Safari, viewed January 5, 2016). Summary: Haider offers informative, jargon-free coverage of basic theory and technique, backed with plenty of vivid examples and hands-on practice opportunities. Everything is software and platform agnostic, so you can learn data science whether you work with R, Stata, SPSS, or SAS. She 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. 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. | |
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