Table of contents
Frontmatter
Contents
Preface
Acknowledgments
1 Introduction to Statistics for Data Analysts
2 What is Data ?
3 Statistics Review – Measures of the Central Tendency
4 Probability Primer
5 Occam’s Razor and Data Analytics
6 Data Analysis Tools
7 Effect Size
8 Analysis Process Methods
9 Data Analytics Thinking
10 Where’s the Data ?
11 Data Presentation
12 Geospatial Data Analytics
13 Additional Data Analytics Methods
14 Summary
15 Case Studies
APPENDIX. RECOMMENDED SOLUTIONS FOR CASE STUDIES
References
Index
22 chapters available
