Data Analytics
Systems Engineering - Cybersecurity - Project Management
Publisher:Mercury Learning and Information
Paid access
|Feb 2021
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
PDF ISBN: 978-1-68392-647-4 | E-Pub ISBN: 978-1-68392-646-7 | Paperback ISBN: 978-1-68392-648-1 | DOI: https://doi.org/10.1515/9781683926474
Publisher: Mercury Learning and Information
Copyright owner: © 2021 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2021
Language: English
Pages: 148
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