Utvidet returrett til 31. januar 2025

Data Science and Analytics in Action

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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  • Språk:
  • Engelsk
  • ISBN:
  • 9798223854005
  • Bindende:
  • Paperback
  • Sider:
  • 284
  • Utgitt:
  • 21. november 2023
  • Dimensjoner:
  • 140x17x216 mm.
  • Vekt:
  • 404 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 7. desember 2024

Beskrivelse av 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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