Data Science Fundamentals Pocket Primer
Book Details
Format
Paperback / Softback
Book Series
Pocket Primer
ISBN-10
1683927338
ISBN-13
9781683927334
Publisher
Mercury Learning & Information
Imprint
Mercury Learning & Information
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 8th, 2021
Print length
428 Pages
Weight
821 grams
Product Classification:
Computer science
Ksh 9,850.00
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As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced 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. Companion files with source code and color figures are available.
Features:
- Includes a concise introduction to Python 3 and linear algebra
- Provides a thorough introduction to data visualization and regular expressions
- Covers NumPy, Pandas, R, and SQL
- Introduces probability and statistical concepts
- Features numerous code samples throughout
- Companion files with source code and figures
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