Data Science Fundamentals Pocket Primer
- Length: 428 pages
- Edition: 1
- Language: English
- Publisher: Mercury Learning and Information
- Publication Date: 2021-05-25
- ISBN-10: 1683927338
- ISBN-13: 9781683927334
- Sales Rank: #0 (See Top 100 Books)
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. 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
Cover page Title page Copyright Dedication 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
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