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Data Science and Analytics in Action - Zemelak Goraga - Bog

Bag om Data Science and Analytics in Action

"Data Science and Analytics in Action: Sample Mini-Projects in Multi-Disciplines" is your essential companion on the journey to mastering data science. Tailored for beginners, this book transforms abstract concepts into tangible skills through a series of engaging mini-projects. Grounded in real-world scenarios, each project empowers readers to bridge the gap between theory and hands-on practice. Explore fundamental principles of data science, from data visualization to machine learning, in an accessible and enjoyable format. This comprehensive guide embraces diverse learning styles, offering clear visualizations and hands-on coding experiences. Beyond theoretical discussions, it extends gratitude to mentors and educators, fostering a sense of community. Whether you're aiming for a career in data analytics or simply curious about the field, this book equips you with a robust foundation for a transformative learning experience in data science.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9798223854005
  • Indbinding:
  • Paperback
  • Sideantal:
  • 284
  • Udgivet:
  • 21. november 2023
  • Størrelse:
  • 140x17x216 mm.
  • Vægt:
  • 404 g.
  • 8-11 hverdage.
  • 7. december 2024
På lager

Normalpris

  • BLACK NOVEMBER

Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Data Science and Analytics in Action

"Data Science and Analytics in Action: Sample Mini-Projects in Multi-Disciplines" is your essential companion on the journey to mastering data science. Tailored for beginners, this book transforms abstract concepts into tangible skills through a series of engaging mini-projects. Grounded in real-world scenarios, each project empowers readers to bridge the gap between theory and hands-on practice. Explore fundamental principles of data science, from data visualization to machine learning, in an accessible and enjoyable format. This comprehensive guide embraces diverse learning styles, offering clear visualizations and hands-on coding experiences. Beyond theoretical discussions, it extends gratitude to mentors and educators, fostering a sense of community. Whether you're aiming for a career in data analytics or simply curious about the field, this book equips you with a robust foundation for a transformative learning experience in data science.

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