Adam Ross Nelson

Confident Data Science

Discover the Essential Skills of Data Science

• Gebundenes Buch

Produktbeschreibung

Discover the fundamentals of data science and develop the skills you need for achieving success in this important sector.

Produktdetails

• Verlag: Kogan Page
• Seitenzahl: 408
• Erscheinungstermin: 26. September 2023
• Englisch
• Abmessung: 216mm x 140mm x 32mm
• Gewicht: 621g
• ISBN-13: 9781398612341
• ISBN-10: 1398612340
• Artikelnr.: 66759292

Autorenporträt

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.

Inhaltsangabe

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

---

• 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

Rezensionen

"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