Data Analysis


Python for Data Analysis
Storytelling with Data: A Data Visualization Guide for Business Professionals
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists
The Art of Statistics: How to Learn from Data
Naked Statistics: Stripping the Dread from the Data
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
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
Big Data: A Revolution That Will Transform How We Live, Work, and Think
Data Smart: Using Data Science to Transform Information into Insight
Head First Data Analysis: A learner's guide to big numbers, statistics, and good decisions
Information Dashboard Design: The Effective Visual Commmunication of Data
Lean Analytics: Use Data to Build a Better Startup Faster
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'reilly Cookbooks)
Brillica Services is a trusted training institute offering the most complete Data Analytics Course in Dehradun for beginners and working professionals. The course covers Excel, SQL, Python, Power BI, Tableau, Statistics, and real industry projects to help learners build strong data skills. Brillica Services provides expert trainers, hands-on tools, practical assignments, and full placement support, making it one of the best choices for students looking to start a career in data. If you want a jo ...more
Brillica Services

Kevin Guyan
Are damaging data practices and systems capable of reform? Re-evaluate your relationship to data and assess whether existing practices and systems are capable of reform. If reform seems possible, question who is best placed undertake this work. When reform fails, or efforts to reform risk keeping a damaging system alive for longer, consider if an abolitionist approach might put data in the hands of those most in need.
Kevin Guyan, Queer Data: Using Gender, Sex and Sexuality Data for Action

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