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Best data science basics

Product Features Editor's score Go to site
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
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Computer Science Distilled: Learn the Art of Solving Computational Problems Computer Science Distilled: Learn the Art of Solving Computational Problems
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Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
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Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series) Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series)
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Artificial Intelligence Basics: A Non-Technical Introduction Artificial Intelligence Basics: A Non-Technical Introduction
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Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
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DATABASES, DATA SCIENCE, AND DATA ANALYTICS FUNDAMENTALS: Course Slides: Basic SQL, IBM Cloud DB2, Microsoft Access, Microsoft Excel, Python, QDM SQL, Risk Simulator, ROV BizStats DATABASES, DATA SCIENCE, AND DATA ANALYTICS FUNDAMENTALS: Course Slides: Basic SQL, IBM Cloud DB2, Microsoft Access, Microsoft Excel, Python, QDM SQL, Risk Simulator, ROV BizStats
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Data Science for Beginners: The Ultimate Guide to Developing Step by Step Your Data Science Skills from Scratch, to Make the Best Decisions and Predictions Data Science for Beginners: The Ultimate Guide to Developing Step by Step Your Data Science Skills from Scratch, to Make the Best Decisions and Predictions
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Beginner Python: Your Practical Guide to Managing Data with Basic Python Beginner Python: Your Practical Guide to Managing Data with Basic Python
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PYTHON: 4 BOOKS IN 1: Learn How To Develop Programs And Apps In 7 Days With Python Programming And Start Deep Hands-on Learning For Beginners of Data Science And Machine Learning. PYTHON: 4 BOOKS IN 1: Learn How To Develop Programs And Apps In 7 Days With Python Programming And Start Deep Hands-on Learning For Beginners of Data Science And Machine Learning.
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Related posts:

1. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Feature

O Reilly Media

2. Computer Science Distilled: Learn the Art of Solving Computational Problems

3. Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Feature

Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.
Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. Youll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your companys data science projects.
Youll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.

4. Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series)

Feature

CRC Press

5. Artificial Intelligence Basics: A Non-Technical Introduction

6. Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science

7. DATABASES, DATA SCIENCE, AND DATA ANALYTICS FUNDAMENTALS: Course Slides: Basic SQL, IBM Cloud DB2, Microsoft Access, Microsoft Excel, Python, QDM SQL, Risk Simulator, ROV BizStats

8. Data Science for Beginners: The Ultimate Guide to Developing Step by Step Your Data Science Skills from Scratch, to Make the Best Decisions and Predictions

9. Beginner Python: Your Practical Guide to Managing Data with Basic Python

10. PYTHON: 4 BOOKS IN 1: Learn How To Develop Programs And Apps In 7 Days With Python Programming And Start Deep Hands-on Learning For Beginners of Data Science And Machine Learning.

Conclusion

All above are our suggestions for data science basics. This might not suit you, so we prefer that you read all detail information also customer reviews to choose yours. Please also help to share your experience when using data science basics with us by comment in this post. Thank you!
Alyssa Salazar