The decision maker's handbook to data science : a guide for non-technical executives, managers, and founders
Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage. To reap the benefits, decision makers need to have a confident understanding of data science and its application in their organization. It is easy for novic...
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| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
[Berkeley, CA] :
Apress,
[2020]
|
| Edition | Second edition. |
| Subjects | |
| Online Access | Full text |
| ISBN | 1484254945 9781484254943 1484254937 9781484254936 |
| Physical Description | 1 online resource (viii, 156 pages) : illustrations |
Cover
Table of Contents:
- Chapter 1: Demystifying Data Science and All the Other Buzzwords
- Chapter 2: Data Management
- Chapter 3: Data Collection Problems
- Chapter 4: How to Keep Data Tidy
- Chapter 5: Thinking like a Data Scientist (Without Being One)
- Chapter 6: A Short Introduction to Statistics
- Chapter 7: A Short Introduction to Machine Learning
- Chapter 8: Problem Solving
- Chapter 9: Pitfalls
- Chapter 10: Hiring and Managing Data Scientists
- Chapter 11: Building a Data-Science Culture
- Chapter 12: Epilogue: Data Science Rules the World
- Appendix A: Tools for Data Science.