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Cleaning Data for Effective Data Science

You're reading from Cleaning Data for Effective Data Science Doing the other 80% of the work with Python, R, and command-line tools

Product type Paperback

Published in Mar 2021

Publisher Packt

ISBN-13 9781801071291

Length 498 pages

Edition 1st Edition

Languages

Python

Tools

Bash

Concepts

Data Science

Author (1):

David Mertz

View More author details

Table of Contents (8) Chapters

Preface

1. PART I: Data Ingestion

2. PART II: The Vicissitudes of Error FREE CHAPTER

3. PART III: Rectification and Creation

4. PART IV: Ancillary Matters

5. Why subscribe?

6. Other Books You May Enjoy

7. Index

PART I

Data Ingestion

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Authors (1)

David Mertz

David Mertz

David Mertz, Ph.D. is the founder of KDM Training, a partnership dedicated to educating developers and data scientists in machine learning and scientific computing. He created a data science training program for Anaconda Inc. and was a senior trainer for them. With the advent of deep neural networks, he has turned to training our robot overlords as well. He previously worked for 8 years with D. E. Shaw Research and was also a Director of the Python Software Foundation for 6 years. David remains co-chair of its Trademarks Committee and Scientific Python Working Group. His columns, Charming Python and XML Matters, were once the most widely read articles in the Python world.

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