Data Science Fundamentals Pocket Primer by O. Campesat
Requirements: .PDF reader, 5.7 MB
Overview: 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 tosome basic features of data analytics and also covers statistics, data visualization,linear algebra, and regular expressions. The book includes numerous code samplesusing Python, NumPy, R, SQL, NoSQL, and Pandas.
Genre: Non-Fiction > Tech & Devices
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
Download Instructions:
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