Practical Data Cleaning
Practical Data Cleaning
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Practical Data Cleaning

This book is 100% complete

Completed on 2017-03-28

About the Book

If you want to get the most out of your data, you're going to need to treat it with respect. Most textbooks on data tend not to dwell on practical issues because, well, it can get quite messy. But if you're organised and follow a few simple rules your data cleaning processes can be simple, fast and effective.

The Practical Data Cleaning kit is a thorough introduction to the basics of data cleaning, is perfect for beginners, and takes you through:

  • Data Collection
  • Data Cleaning
  • Data Classification *Enhanced Section*
  • Data Integrity
  • Bonus Chapter: Working Smarter, Not Harder

With a little over 50 pages and written for ease-of-reading, this just might be the most useful guide on data cleaning out there...

There is also a FREE online video course to accompany this book.

You will find a link to the video course within the book, but you can get access to the Practical Data Cleaning video course here:

About the Author

Lee Baker
Lee Baker

Lee Baker is an award-winning software creator with a passion for turning data into a story.

A proud Yorkshireman, he now lives by the sparkling shores of the East Coast of Scotland.

Physicist, statistician and programmer, child of the flower-power psychedelic ‘60s, it’s amazing he turned out so normal!

Turning his back on a promising academic career to do something more satisfying, as the CEO and co-founder of Chi-Squared Innovations he now works double the hours for half the pay and 10 times the stress - but 100 times the fun!

Bundles that include this book

Practical Data Cleaning
Associations and Correlations
2 Books
Suggested Price
Bundle Price

Reader Testimonials

Heather Krausse
Heather Krausse

Great material at a reduced price for the #nptech crowd

David Napoli
David Napoli

Start your week off right by drinking from the firehose of #stats knowledge

Table of Contents

Introduction: Don’t Panic !!!

  • Data Collection
  • Data Cleaning
  • Data Codification & Classification
  • Data Integrity
  • Bonus Chapter:   Work Smarter, Not Harder

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