Data Science Fundamentals Pocket Primer
This book gives an introduction to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions. The book includes numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. --
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Bloomfield :
Mercury Learning & Information,
2021.
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| Series: | Computing Ser.
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| Online Access: |
Full text (Emmanuel users only) |