Data Science Essentials For Dummies (For Dummies (Computer/Tech)) - Softcover

Pierson, Lillian

 
9781394297009: Data Science Essentials For Dummies (For Dummies (Computer/Tech))

Inhaltsangabe

Feel confident navigating the fundamentals of data science

Data Science Essentials For Dummies is a quick reference on the core concepts of the exploding and in-demand data science field, which involves data collection and working on dataset cleaning, processing, and visualization. This direct and accessible resource helps you brush up on key topics and is right to the point―eliminating review material, wordy explanations, and fluff―so you get what you need, fast.

  • Strengthen your understanding of data science basics
  • Review what you've already learned or pick up key skills
  • Effectively work with data and provide accessible materials to others
  • Jog your memory on the essentials as you work and get clear answers to your questions

Perfect for supplementing classroom learning, reviewing for a certification, or staying knowledgeable on the job, Data Science Essentials For Dummies is a reliable reference that's great to keep on hand as an everyday desk reference.

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Über die Autorin bzw. den Autor

Lillian Pierson, PE, is the founder and fractional CMO at Data-Mania, as well as a globally recognized growth leader in technology. To date, she has helped educate approximately 2 million professionals on how to leverage AI, data strategy, and data science to drive business growth.

Von der hinteren Coverseite

The pocket-sized guide to data science

You've just picked up a concise little book that covers all the fundamentals of data science. Data Science Essentials For Dummies distills everything you need to know to analyze data, build models, identify patterns, and visualize your findings. No overwhelming details or unnecessary repetition--just straightforward, easy-to-find answers to your essential data science questions. Great for supplementing a course or as a quick reference while you work, this book puts you on the fast track to deriving more business value from data.

Inside...

  • Finding succinct explanations
  • Getting clear, effective examples
  • Understanding data types
  • Working with software
  • Coding in Python and SQL
  • Understanding machine learning
  • Brushing up on essential math and statistics
  • Using data to tell a story

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