AAPI Heritage Month
Genres

Data Science


Data Science Books

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Storytelling with Data: A Data Visualization Guide for Business Professionals
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
Python for Data Analysis
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
Data Science from Scratch: First Principles with Python
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Naked Statistics: Stripping the Dread from the Data
Hands-On Machine Learning with Scikit-Learn and TensorFlow
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
Python Data Science Handbook: Essential Tools for Working with Data
The Art of Statistics: How to Learn from Data
Practical Statistics for Data Scientists: 50 Essential Concepts
More data science books...

Lists

An Introduction to Statistical Learning by Gareth JamesAdvanced R by Hadley WickhamAdvanced R by Hadley WickhamThe Art of R Programming by Norman MatloffR Graphics Cookbook by Winston Chang
R language
46 books — 5 voters
Think Bayes by Allen B. DowneyData Science at the Command Line by Jeroen JanssensGraph Databases by Ian RobinsonPractical Machine Learning by Ted DunningPractical Machine Learning by Ted Dunning
Humble Book Bundle: Data Science Presented by O'Reilly
16 books — 4 voters

Web Hacking Arsenal by Rafay BalochAI Doctor by Ronald M. RazmiAI 2041 by Kai-Fu LeeA Brief History of Intelligence by Max Solomon BennettThe Book of Why by Judea Pearl
Future Technology (nonfiction)
138 books — 205 voters
Deep Learning for Coders with Fastai and Pytorch by Jeremy HowardAn Introduction to Statistical Learning by Gareth JamesThe Elements of Statistical Learning by Trevor Hastie
Learning Deeper
3 books — 1 voter

R for Data Science by Hadley WickhamHands-On Programming with R by Garrett GrolemundDesign for How People Think by John WhalenThe Art of R Programming by Norman MatloffData Analysis with Open Source Tools by Philipp K. Janert
O'Reilly & No Starch Press
67 books — 3 voters
IT Dictionary by Adam KorgaGrokking Algorithms An Illustrated Guide For Programmers and ... by Aditya Y. BhargavaDesigning Data-Intensive Applications by Martin KleppmannSoftware Engineering at Google by Titus WintersRefactoring by Martin Fowler
2024 - Engineering with Utsav - Books every software engineer should read
17 books — 7 voters

Quotes Tagged “Data Science”

“ It doesn't matter how slowly you go as long as you don't stop.✋ ...more ”
― Ahmed Elkhateeb1
0 likes

Hendrith Vanlon Smith Jr.
“ All good decisions are Data dependent. To make good decisions, you need good data. And you need that good data to be organized according to it's applicable use value. So every business should be mining data and organizing data to enable business leaders to make good decisions on behalf of the business. ...more ”
― Hendrith Vanlon Smith Jr, CEO of Mayflower-Plymouth
2 likes

More quotes...

Videos Tagged “Data Science”

Data Science in 2016: Moving up
Data Science in 2016: Moving up
Intro to Apache Spark Training
Intro to Apache Spark Training
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Groups Tagged "Data Science"

Streaming Annotated - Data Engineering Learn about the world of data streaming and data engineering with an overview of all its relevan…more
78 members, last active 6 years ago
OLX Product Data & Tech + Management Books that are of interest to all within OLX Hub's…more
20 members, last active 6 years ago
Group to discuss books on Machine Learning
4 members, last active 11 years ago
#DS4HS A group for the data friendly and those who want to be
1 member, last active 7 years ago