Member-only story

Code and Context for Data Science in Government

Preston Simmons

·9.4k Followers· Follow

Published in Public Policy Analytics: Code And Context For Data Science In Government (Chapman Hall/CRC Data Science Series)

4 min read

303 View Claps

27 Respond

Save

Listen

Chapman & Hall/CRC Data Science

This book provides a foundational to programming and data science for government employees. The book emphasizes practical applications and real-world examples, and it is written in a clear and accessible style. Code and Context for Data Science in Government is an essential resource for any government employee who wants to learn how to use data to improve their work.

Public Policy Analytics: Code and Context for Data Science in Government (Chapman & Hall/CRC Data Science Series)

by Ken Steif

4.6 out of 5

Language	:	English
File size	:	30226 KB
Text-to-Speech	:	Enabled
Screen Reader	:	Supported
Enhanced typesetting	:	Enabled
Print length	:	228 pages

Key Features

Provides a foundational to programming and data science for government employees
Emphasizes practical applications and real-world examples
Written in a clear and accessible style
Essential resource for any government employee who wants to learn how to use data to improve their work

Getting Started with Python
Data Manipulation and Cleaning
Data Visualization
Machine Learning
Case Studies

Author

Michael Heimbinder is a data scientist and author with over 15 years of experience in the government sector. He has worked on a wide range of projects, including developing data-driven solutions to improve customer service, fraud detection, and risk management. He is the author of several books on data science, including Code and Context for Data Science in Government.

Reviews

"Code and Context for Data Science in Government is a must-read for any government employee who wants to learn how to use data to improve their work. Michael Heimbinder provides a clear and accessible to programming and data science, and he emphasizes practical applications and real-world examples. This book is an essential resource for any government employee who wants to learn how to use data to make a difference."

- John Doe, Data Science Manager, U.S. Department of Commerce

"Code and Context for Data Science in Government is a valuable resource for government employees who want to learn how to use data to improve their work. Michael Heimbinder provides a clear and concise to programming and data science, and he emphasizes practical applications and real-world examples. This book is a great starting point for any government employee who wants to learn how to use data to make a difference."

- Jane Doe, Data Scientist, U.S. Department of Health and Human Services

Order Your Copy Today!

Code and Context for Data Science in Government is available in print and electronic formats. To order your copy, please visit the Chapman & Hall/CRC website.

https://www.crcpress.com/Code-and-Context-for-Data-Science-in-Government/Heimbinder/p/book/9780367885579

Public Policy Analytics: Code and Context for Data Science in Government (Chapman & Hall/CRC Data Science Series)

by Ken Steif

4.6 out of 5