Data Science for Business - What You Need to Know about Data Mining and Data-Analytic Thinking

Foster Provost, Tom Fawcett

Key Facts and Insights:

  1. The book highlights the importance of data science in the business world by explaining how data-driven decisions can significantly improve business performance.
  2. Concepts such as data mining and data-analytic thinking are thoroughly discussed, providing readers with an understanding of how to apply these techniques in a business context.
  3. The authors emphasize the need for a clear understanding of the business problem at hand before diving into data analysis.
  4. Several key data science principles are presented, like the Principle of Overfitting, the Principle of Uncertainty, and the Principle of Comparative Analysis.
  5. The book includes in-depth explanations...

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Sagar Ganapaneni

Sagar Ganapaneni US

Data Science Leader
Raghavv Goyall

Raghavv Goyall GB

Entrepreneur and Data Science Specialist with 11+ yrs exp in Consulting | , Founder at BigPodiium
Giacomo Clemente

Giacomo Clemente IT

Director of Data Strategy, Docebo
Hong Xu
Not available

Hong Xu CN

Senior Data Scientist