Data Science


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
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
The Signal and the Noise: Why So Many Predictions Fail—But Some Don't
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Data Science from Scratch: First Principles with Python
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
Python Data Science Handbook: Essential Tools for Working with Data
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
The Art of Statistics: How to Learn from Data
Practical Statistics for Data Scientists: 50 Essential Concepts
Abhijit Naskar
“ Data is power. ”
― Abhijit Naskar, Azad Earth Army: When The World Cries Blood

Kevin Guyan
“ The cleaning of data can remove its queerness: paper surveys where respondents score out the response options ‘female’ and ‘male’ and write their own answer, interview recordings were participants flip the focus and ask questions of the researcher, census returns where LGBTQ couples identify themselves as ‘married’ even when governments do not recognize same sex marriage. These examples demonstrate how collection methods can fail to restrict how participants share data about their lives and expe ...more ”
― Kevin Guyan, Queer Data: Using Gender, Sex and Sexuality Data for Action

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