Dealing With Data Pocket Primer
- 3h 32m
- Oswald Campesato
- Mercury Learning
- 2022
As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of managing data using a variety of computerlanguages and applications. It is intended to be a fast-paced introduction to some basic features of data management and covers statistical concepts, data-related techniques, features of Pandas, RDBMS, SQL, NLP topics, Matplotlib, and data visualization. Companion files with source code and color figures are available.
FEATURES:
- Covers Pandas, RDBMS, NLP, data cleaning, SQL, and data visualization
- Introduces probability and statistical concepts
- Features numerous code samples throughout
- Includes companion files with source code and figures
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 NLP Using R Pocket Primer (all Mercury Learning).
In this Book
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Introduction to Probability and Statistics
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Working with Data
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Introduction to Pandas
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Introduction to RDBMS and SQL
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Working with SQL and MySQL
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NLP and Data Cleaning
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Data Visualization
