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Practical Data Cleaning

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My best selling book with 10,000+ happy readers!

You will get the following files:
  • PDF (316KB)
  • PDF (515KB)
  • XLSX (178KB)
  • PDF (391KB)
  • EPUB (1MB)
  • MOBI (2MB)

WITH 4 FREE BONUSES !

Data Cleaning – The Big Picture

An Ultra-High-Definition flowchart (pdf) that will help you take the next steps in your Data Ninja journey!

Practical Data Cleaning Template

An Excel workbook designed to get your data cleaning processes off to the best possible start!

Cheatsheet - Excel Data Cleaning Formulae

22 essential data cleaning formulae!

Practical Data Cleaning Cheatsheet

19 Tips to Make Your Data Cleaning Easy!

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...

Data cleaning is a waste of time.

If the data had been collected properly in the first place there wouldn’t be any cleaning to do, and you wouldn’t now be faced with the prospect of weeks of cleaning to get your dataset analysis-ready.

Worse still, your boss won’t understand why your analysis report isn’t on his desk yet, a mere 48 hours after he’s asked for it. Bless him, he doesn’t understand – he thinks that cleaning data is just about clicking a few buttons in Excel and – ta da! – it’s all done. Even a monkey can do that, right?

And – for good reason – you won’t get any help from statistics books either. Data is messy and cleaning it can be difficult, time-consuming and costly. Not to mention it’s the least sexy thing you can do with a dataset.

Yet you’ve still got to do it, because, well, someone has to…

But it doesn’t have to be so difficult. If you're organised and follow a few simple rules your data cleaning processes can be simple, fast and effective.


Not to mention fun!


Well, not fun exactly, just not quite as coma-inducing.


Practical Data Cleaning (now in its 5th Edition!) explains the 19 most important tips about data cleaning with a focus on understanding your data, how to work with it, choose the right ways to analyse it, select the correct tools and how to interpret the results to get your data clean in double quick time.


Best of all, there is no technical jargon – it is written in plain English and is perfect for beginners!

 

Discover how to clean your data quickly and effectively. Get this book, TODAY!

⭐⭐⭐⭐⭐

5 out of 5 !

— Amazon Customer Reviews

What people are saying

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Great material at a reduced price for the #nptech crowd

— Heather Krausse (via Twitter @datassist)

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

— David Napoli (via Twitter @Biff_Bruise)

FREE BONUS 1

Data Cleaning – The Big Picture, an Ultra-High-Definition flowchart (pdf) that will help you take the next steps in your Data Ninja journey!

FREE BONUS 2

Practical Data Cleaning Template - an Excel workbook designed to get your data cleaning processes off to the best possible start!

FREE BONUS 3:

Cheatsheet - Excel Data Cleaning Formulae: 22 essential data cleaning formulae in Excel to make sure all your data cleaning, data conversion and descriptive statistics processes go quickly and smoothly

FREE BONUS 4:

Practical Data Cleaning Cheatsheet - 19 Tips to Make Your Data Cleaning Easy!

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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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