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Be Data Literate

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WINNER: International Book Awards 2023 - Business: Technology (1st edition) Not everyone needs to be a data scientist, but everyone should be data literate in a fast-moving world that brings new technological developments every day. It is not enough for a business to have the best data if those using it don't understand the right questions to ask or how to use the information generated to make decisions. Be Data Literate is the essential guide to developing the curiosity, creativity and critical thinking necessary to make anyone data literate, without needing a data science degree. With learnings to show development and real-world examples from industries implementing data literacy skills, this new edition includes groundbreaking insights into the future of data from AI to Web3. Be Data Literate is a practical guide to understanding the four levels of analytics, how to analyze data and the key steps to making smarter, data-informed decisions.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781398617780
  • Indbinding:
  • Hardback
  • Sideantal:
  • 264
  • Udgivet:
  • 24. september 2024
  • Udgave:
  • 24002
  • 2-3 uger.
  • 14. december 2024
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Beskrivelse af Be Data Literate

WINNER: International Book Awards 2023 - Business: Technology (1st edition)

Not everyone needs to be a data scientist, but everyone should be data literate in a fast-moving world that brings new technological developments every day. It is not enough for a business to have the best data if those using it don't understand the right questions to ask or how to use the information generated to make decisions. Be Data Literate is the essential guide to developing the curiosity, creativity and critical thinking necessary to make anyone data literate, without needing a data science degree. With learnings to show development and real-world examples from industries implementing data literacy skills, this new edition includes groundbreaking insights into the future of data from AI to Web3. Be Data Literate is a practical guide to understanding the four levels of analytics, how to analyze data and the key steps to making smarter, data-informed decisions.

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