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Practical Data Cleaning

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19 Essential Tips to Scrub Your Dirty Data (and keep your boss happy)


If you want to get the most out of your data, you will 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.


Practical Data Cleaning 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 only 52 pages and written for ease-of-reading, this just might be the most useful guide on data cleaning out there...



Here are some testimonials from just a couple of our 10,000+ happy customers:

"Great material at a reduced price for the #nptech crowd"

- Heather Krausse (via Twitter @datassist)

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

- David Napoli (via Twitter @Biff_Bruise)

You will get the following files:
  • EPUB (1MB)
  • MOBI (2MB)
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Lee Baker

"My mission is to unleash your inner data ninja."

Lee Baker is an award-winning software creator.

With decades of experience in science, statistics and artificial intelligence, he has a passion for telling stories with data.

Insisting that data analysis is much simpler than we think it is, he authors friendly, easy-to-understand books that teach the fundamentals of data analysis and statistics.

As the CEO of Chi-Squared Innovations, one day he’d like to retire to do something simpler, like crocodile wrestling.

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