Part 4: Computing for Data Science
by Jake Porway, Lillian Pierson
Data Science For Dummies, 2nd Edition
- Cover
- Cover
- Introduction
- Foreword
- Part 1: Getting Started with Data Science
- Chapter 1: Wrapping Your Head around Data Science
- Chapter 2: Exploring Data Engineering Pipelines and Infrastructure
- Chapter 3: Applying Data-Driven Insights to Business and Industry
- Benefiting from Business-Centric Data Science
- Converting Raw Data into Actionable Insights with Data Analytics
- Taking Action on Business Insights
- Distinguishing between Business Intelligence and Data Science
- Defining Business-Centric Data Science
- Differentiating between Business Intelligence and Business-Centric Data Science
- Knowing Whom to Call to Get the Job Done Right
- Exploring Data Science in Business: A Data-Driven Business Success Story
- Part 2: Using Data Science to Extract Meaning from Your Data
- Part 3: Creating Data Visualizations That Clearly Communicate Meaning
- Part 4: Computing for Data Science
- Part 5: Applying Domain Expertise to Solve Real-World Problems Using Data Science
- Part 6: The Part of Tens
- About the Author
- Connect with Dummies
- End User License Agreement
Part 4
Computing for Data Science
IN THIS PART …
Find out how Python is being used for data science projects.
Look at your open-source data science options. (Can you say “R”?)
See how SQL can be put to new (data science) uses.
Explore old programs (Excel) and new (KNIME).
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