Data Science Fundamentals Pocket Primer
By Oswald Campesato
- Release Date: 2021-05-12
- Genre: Programming
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
1: Working with Data
2: Introduction to Probability and Statistics
3: Linear Algebra Concepts
4: Introduction to Python
5: Introduction to NumPy
6: Introduction to Pandas
7: Introduction to R
8: Regular Expressions
9: SQL and NoSQL
10: Data Visualization
Index
