The Decision Maker's Handbook to Data Science : A Guide for Non-Technical Executives, Managers, and Founders

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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Bibliographic Details
Main Author: Kampakis, Stylianos. author (author)
Format: eBook
Language:Inglés
Published: Berkeley, CA : Apress 2020.
Edition:2nd ed. 2020.
Subjects:
Data structures (Computer science).
Data mining.
Big data.
Data Structures and Information Theory.
Data Mining and Knowledge Discovery.
Big Data/Analytics.
Big Data.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630862106719
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
  • .

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