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Data Science Fundamentals Pocket Primer

Data Science Fundamentals Pocket Primer

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Data Science Fundamentals Pocket Primer

Data Science Fundamentals Pocket Primer

Category

Data Science

Data Mining

Author

Oswald Campesato

Publication

Mercury Learning and Information

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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(available for downloading with Amazon proof of purchase by writing to [email protected]).

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

+Includes companion files with source code and figures (available for downloading with Amazon proof of purchase by writing to [email protected])

Brief Table of Contents

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.

About the Author

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the Python Pocket Primer (Mercury Learning).

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ISBN-10

ISBN-13

9781683927334

Publisher

Mercury Learning and Information

Price

39.95

File Type

PDF

Page No.

Oswald Campesato

Oswald Campesato

Oswald is an education junkie: a former PhD Candidate in Mathematics (ABD) who has multiple MS and B ...

About the Author

Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, NLP, Android, and TensorFlow. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the Data Science Fundamentals Pocket Primer (all Mercury Learning and Information). --This text refers to the paperback edition.

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