Utvidet returrett til 31. januar 2025

Data Science Thinking

- The Next Scientific, Technological and Economic Revolution

Om Data Science Thinking

This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9783319950914
  • Bindende:
  • Hardback
  • Sider:
  • 390
  • Utgitt:
  • 7. september 2018
  • Utgave:
  • 12018
  • Dimensjoner:
  • 164x242x33 mm.
  • Vekt:
  • 728 g.
  • BLACK NOVEMBER
  På lager
Leveringstid: 4-7 virkedager
Forventet levering: 23. november 2024

Beskrivelse av Data Science Thinking

This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists?

Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.

Brukervurderinger av Data Science Thinking



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