Dealing With Data Pocket Primer
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Dealing With Data Pocket Primer

Oswald Campesato
Paperback
May 2022
9781683928201
More details
  • Publisher
    Mercury Learning and Information
  • Published
    12th May 2022
  • ISBN 9781683928201
  • Language English
  • Pages 250 pp.
  • Size 6" x 9"
$41.95
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E-Book

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May 2022
9781683928188
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  • Publisher
    Mercury Learning and Information
  • Published
    4th May 2022
  • ISBN 9781683928188
  • Language English
  • Pages 250 pp.
  • Size 6" x 9"
$41.95
Add to Cart
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May 2022
9781683928195
More details
  • Publisher
    Mercury Learning and Information
  • Published
    4th May 2022
  • ISBN 9781683928195
  • Language English
  • Pages 250 pp.
  • Size 6" x 9"
$109.95

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, and GPT-4. He is the author/co-author of over forty books including Python 3 Data Visualization Using ChatGPT / GPT-4, NLP for Developers, and Artificial Intelligence, Machine Learning and Deep Learning (all Mercury Learning).

Pandas; RDBMS; NLP; data cleaning; SQL; data visualization; statistics; computer science; data analytics; python; programming