Data Science Fundamentals Pocket Primer
Volume in the series
Publisher:Mercury Learning and Information
Paid access
|May 2021
Table of contents
Frontmatter
Contents
Preface
Chapter 1. Working With Data
Chapter 2. Intro to Probability and Statistics
Chapter 3. Linear Algebra Concepts
Chapter 4. Introduction to Python
Chapter 5. Introduction to NumPy
Chapter 6. Introduction to Pandas
Chapter 7. Introduction to R
Chapter 8. Regular Expressions
Chapter 9. SQL and NoSQL
Chapter 10. Data Visualization
Index
14 chapters available
PDF ISBN: 978-1-68392-732-7 | E-Pub ISBN: 978-1-68392-731-0 | Paperback ISBN: 978-1-68392-733-4 | DOI: 10.1515/9781683927327
Publisher: Mercury Learning and Information
Copyright owner: © 2021 Walter de Gruyter GmbH, Berlin/Boston
Publication date: 2021
Language: English
Pages: 428
Keywords
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