Spring Reading Challenge
Genres

Data Science_and_data Analytics


Data Science_and_data Analytics Books

Data Analytics Made Accessible
A Programmer’s Guide to Data Mining: The Ancient Art of the Numerati
Data Smart: Using Data Science to Transform Information into Insight
Data Science: Create Teams That Ask the Right Questions and Deliver Real Value
Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark
Data Mining: The Textbook
The Decision Maker’s Handbook to Data Science: A guide for non-technical executives, managers and founders
The Future Computed: Artificial Intelligence and its Role in Society
Python Data Science: The Complete Guide to Data Analytics + Machine Learning + Big Data Science + Pandas Python. The Easy Way to Programming (Exercises Included)
Python for Devops: Learn Ruthlessly Effective Automation
Avoiding Data Pitfalls: How to Steer Clear of Common Blunders When Working with Data and Presenting Analysis and Visualizations
Naked Statistics: Stripping the Dread from the Data
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
The Data Science Design Manual (Texts in Computer Science)
Practical Statistics for Data Scientists: 50 Essential Concepts
More data science_and_data analytics books...