Build a Career in Data Science
Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in…
33 AI-mapped connections to other books on Hikara
Books that ECHO Build a Career in Data Science
Reads that harmonize with similar ideas, themes, or philosophies.
Engineering MLOps
Emmanuel Raj
Designing Machine Learning Systems
Chip Huyen
Practical Statistics for Data Scientists
Peter Bruce, Andrew Bruce, Peter Gedeck
Essential Math for Data Science
Thomas Nield
Think Like a Data Scientist
Brian Godsey
Fundamentals for Self-Taught Programmers
Jasmine Greenaway
Data Science from Scratch
Joel Grus
R for Data Science
Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund
Fundamentals of Data Engineering
Joe Reis, Matt Housley
Deep Learning from Scratch
Seth Weidman
Books that BRIDGE from Build a Career in Data Science
Cross-domain reads that transfer ideas into new fields.
Scaling Machine Learning with Spark
Adi Polak
Grokking Data Structures
Marcello La Rocca
Modern Data Analytics in Excel
George Mount
Practical SQL, 2nd Edition
Anthony DeBarros
Applied Machine Learning
Jason Hodson
Machine Learning for Tabular Data
Mark Ryan, Luca Massaron
The Data Warehouse Toolkit
Ralph Kimball, Margy Ross
Java: A Beginner's Guide, Ninth Edition
Herbert Schildt
Kubernetes in Action, Second Edition
Marko Lukša, Kevin Conner
The Linux Command Line, 3rd Edition
William Shotts
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