Confident Data Science
Discover the Essential Skills of Data Science
(Sprache: Englisch)
Discover the fundamentals of data science and develop the skills you need for achieving success in this important sector.
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Produktdetails
Produktinformationen zu „Confident Data Science “
Discover the fundamentals of data science and develop the skills you need for achieving success in this important sector.
Klappentext zu „Confident Data Science “
Discover the fundamentals of data science and develop the skills you need for achieving success in this important sector.
Inhaltsverzeichnis zu „Confident Data Science “
Section - SECTION ONE: Getting oriented; Chapter - 01: The untold history of data science; Chapter - 02: Genres and flavours of analysis; Chapter - 03: Data culture and the data science process; Section - SECTION TWO: Getting going; Chapter - 04: Data science examples in production; Chapter - 05: A weekend crash course; Section - SECTION THREE: Data science for clients; Chapter - 06: The client, the project and the data; Chapter - 07: Topic analysis; Chapter - 08: Regression; Chapter - 09: Classification; Chapter - 10: Sentiment analysis; Section - SECTION FOUR: Tools of the trade; Chapter - 11: Data sources; Chapter - 12: Data visualization; Chapter - 13: Python + R; Chapter - 14: Retrospective / prospective
Autoren-Porträt von Adam Ross Nelson
Adam Ross Nelson is a data science consultant and career coach based in Washington D.C. As a consultant, he provides insights on data science, machine learning and data governance. He previously worked as a data scientist at The Common Application. Having transitioned into the data science field from his career as an attorney, he offers workshops, talks and online courses for those looking to develop their data science skills, pivot their career or improve their career trajectory.
Bibliographische Angaben
- Autor: Adam Ross Nelson
- 2023, 408 Seiten, Maße: 13,5 x 21,4 cm, Kartoniert (TB), Englisch
- Verlag: Kogan Page
- ISBN-10: 1398612324
- ISBN-13: 9781398612327
- Erscheinungsdatum: 31.08.2023
Sprache:
Englisch
Pressezitat
"Value-packed on every page. Everything you need to break into data science is covered. Nelson also offers various technical examples through code to ensure every concept is thoroughly understood. I Highly recommend this book to both data science beginners and seasoned practitioners." Derrick Mwiti, Machine Learning Developer
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