Data Science Fundamentals Pocket Primer is popular PDF and ePub book, written by Oswald Campesato in 2021-05-12, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Data Science Fundamentals Pocket Primer can be Read Online from any device for your convenience.
Data Science Fundamentals Pocket Primer Book PDF Summary
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
Detail Book of Data Science Fundamentals Pocket Primer PDF
- Author : Oswald Campesato
- Release : 12 May 2021
- Publisher : Mercury Learning and Information
- ISBN : 9781683927310
- Genre : Computers
- Total Page : 428 pages
- Language : English
- PDF File Size : 17,7 Mb
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