Practical Data Science Books
Intent 15 books
15 hands-on Data Science books you can apply directly to your work. Ranked by developer recommendations — top picks include Practical Statistics for Data Sc... and Python for Data Analysis.
Rankings
1—
Practical Statistics for Data Scientists: 50 Essential Concepts
Peter Bruce, Andrew Bruce
60 in 90d
data-sciencemachine-learningdata
15
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2—
Python for Data Analysis
Wes McKinney
50 in 90d
data-sciencepythondata
12.5
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3—
Architecting an Apache Iceberg Lakehouse
Alex Merced
142 in 90d
databasesdata-sciencedata
10.6
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4—
Data Science for Business
Foster Provost and Tom Fawcett
40 in 90d
data-sciencemachine-learningdata
10
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5—
Web Scraping with Python
Ryan Mitchell
31 in 90d
pythondata-sciencebackend
8.3
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6—
Spark: The Definitive Guide
Bill Chambers, Matei Zaharia
31 in 90d
data-sciencedatabasesdata
8.3
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7—
The Data Warehouse Toolkit
Ralph Kimball
30 in 90d
databasesdata-sciencedata
7.5
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8—
Modern Business Analytics
Deanne Larson
70 in 90d
data-sciencedatabasesdata
5.5
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9—
The Modern Business Data Analyst
Dominik Jung
70 in 90d
data-sciencedata
5.5
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10—
Data Science and Big Data Analytics
EMC Education Services
20 in 90d
data-sciencemachine-learningdata
5
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11—
The Enterprise Big Data Lake
Alex Gorelik
20 in 90d
databasesdata-sciencedata
5
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12—
Enabling Agentic Analytics with Apache Iceberg and Dremio
Alex Merced
22 in 90d
databasesdata-sciencedata
4.6
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13—
Python for Everybody
Charles R. Severance
50 in 90d
pythondata-sciencebackend
4.5
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14—
Python Data Science Handbook
Jake VanderPlas
10 in 90d
pythondata-sciencedata
2.5
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15—
Algorithmic Trading
Ernest Chan
10 in 90d
data-sciencedata
2.5
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