Lien ebook : https://login.ezproxy.univ-catholille.fr/login?url=https://s...

eISBN : 9781119570714

Sommaire : About the Authors
Preface
About the Companion Website
1 A Higher Calling
2 The Difference Between a Good Data Scientist and a Great One
3 Learn the Business
4 Understand the Real Problem
5 Get Out There
6 Sorry, but You Can't Trust the Data
7 Make It Easy for People to Understand Your Insights
8 When the Data Leaves Off and Your Intuition Takes Over
9 Take Accountability for Results
10 What It Means to Be “Data‐driven”
11 Root Out Bias in Decision‐making
12 Teach, Teach, Teach
13 Evaluating Data Science Outputs More Formally
14 Educating Senior Leaders
15 Putting Data Science, and Data Scientists, in the Right Spots
16 Moving Up the Analytics Maturity Ladder
17 The Industrial Revolutions and Data Science
18 Epilogue
Appendix A: Skills of a Data Scientist
Appendix B: Data Defined
Appendix C: Questions to Help Evaluate the Outputs of Data Science
Appendix D: Ethical Considerations and Today's Data Scientist
Appendix E: Recent Technical Advances in Data Science
References
A List of Useful Links
Index

Langue : Anglais

Localisation : Bibliothèque Campus de Nice

Support : Numérique

Etat : Présent

Propriétaire : Bibliothèque