Build a Career in Data Science
by Emily Robinson
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…
22 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.
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Essential Math for Data Science
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Fundamentals for Self-Taught Programmers
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Think Like a Data Scientist
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R for Data Science
Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund
Fundamentals of Data Engineering
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Deep Learning from Scratch
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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
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Modern Data Analytics in Excel
George Mount
Practical SQL, 2nd Edition
Anthony DeBarros
Applied Machine Learning
Jason Hodson
The Data Warehouse Toolkit
Ralph Kimball, Margy Ross
Machine Learning for Tabular Data
Mark Ryan, Luca Massaron
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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