- Publisher
Mercury Learning and Information - Published
12th May 2022 - ISBN 9781683928201
- Language English
- Pages 250 pp.
- Size 6" x 9"
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- Publisher
Mercury Learning and Information - Published
4th May 2022 - ISBN 9781683928188
- Language English
- Pages 250 pp.
- Size 6" x 9"
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- Publisher
Mercury Learning and Information - Published
4th May 2022 - ISBN 9781683928195
- Language English
- Pages 250 pp.
- Size 6" x 9"
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 computer
languages 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
1: Introduction to Probability and Statistics
2: Working with Data
3: Introduction to Pandas
4: Introduction to RDBMS and SQL
5: Working with SQL and MySQL
6: NLP and Data Cleaning
7: Data Visualization
Index
Oswald Campesato
Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty-five books including Google Gemini for Python, Large Language Models, and GPT-4 for Developers (all Mercury Learning).