1. What is analytics? -- 2. Introducing R : an analytics software -- 3. Reporting data -- 4. Statistical graphics and visual analytics -- 5. Probability -- 6. Random variables and probability distributions -- 7. Continuous random variables -- 8. Statistical inference -- 9. Regression for predictive
A user's guide to business analytics
β Scribed by Basu, Ayanendranath; Basu, Srabashi
- Publisher
- CRC Press is an imprint of the Taylor & Francis Group
- Year
- 2016
- Tongue
- English
- Leaves
- 401
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content: 1. What is analytics? --
2. Introducing R--an analytics software --
3. Reporting data --
4. Statistical graphics and visual analytics --
5. Probability --
6. Random variables and probability distributions --
7. Continuous random variables --
8. Statistical inference --
9. Regression for predictive model building --
10. Decision trees --
11. Data mining and multivariate methods --
12. Modeling time series data for forecasting --
References --
Index.
β¦ Subjects
Commercial statistics.;R (Computer program language);Data mining.
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