Telling Stories With Data
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Telling Stories With Data

About the Bundle

Combining Practical Data Cleaning and Associations and Correlations - The Essential Elements, this bundle gives you all the information you need to fully understand how to discover the story of your data.

These books take you through:

Practical Data Cleaning

  1. Data Collection
  2. Data Cleaning
  3. Data Classification *Enhanced Section*
  4. Data Integrity
  5. Working Smarter, Not Harder

Associations and Correlations - The Essential Elements

  1. Data Collection and Cleaning
  2. Data Classification
  3. Introduction to Associations and Correlations
  4. Univariate Statistics
  5. Multivariate Statistics
  6. Visualising Your Relationships
  7. Automating Associations and Correlations.

Although these books have been written for beginners, my hope is that more experienced practitioners might also find value.

They are a thorough introduction to the building blocks of discovering and visualising the relationships within your data and I hope you enjoy them!

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  • Categories

    • Data Science
    • Sciences
    • Non-Fiction
    • Textbooks

About the Books

Practical Data Cleaning

19 Essential Tips to Scrub Your Dirty Data
  • 4,717

    Readers

  • 100%

    Complete

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  • MOBI

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Now With 4 Free Bonuses!

You can now get the following FREE bonuses with this book:

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!

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You can download the content in a zip file by going to your Leanpub library here https://leanpub.com/user_dashboard/library, selecting the book, and then clicking on the "Download Extras" download link.

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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!

Deepankar Chakrabarti
Ronald Michael Pengelly
David Napoli
Heather Krausse

4 reader testimonials

Associations and Correlations for Medical Research

A Holistic Strategy To Help You Discover The Story of Your Data
  • 1,504

    Readers

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    Complete

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  • MOBI

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Now With 3 Free Bonuses!

You can now get the following FREE bonuses with this book:

The Future of Statistics

  • An anthology written with the contributions of some of the most prominent statisticians, data analysts and Data Scientists in the world to help you take the next steps in your Data Ninja journey!

Statistical Hypothesis Testing

  • A book written to help you choose the correct statistical test to use on your data - first time, every time!

Hypothesis Testing - Spinning The Wheel

  • An Ultra Hi-Def flowchart created to ensure you choose the correct statistical test to use on your data.

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You can download the content in a zip file by going to your Leanpub library here https://leanpub.com/user_dashboard/library, selecting the book, and then clicking on the "Download Extras" download link.

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In Associations and Correlations for Medical Research, award-winning statistician and author Lee Baker guides you through the building blocks of discovering and visualising the relationships within your data.

Associations and correlations are ways of describing how a pair of variables change together as a result of their connection. In other words, if one of your variables changes, the other is likely to change too.

These types of analysis are some of the most used – and misunderstood – statistical techniques. Most results you’ll encounter are wrong, and for a very good reason. In this book you’re going to learn just why this is, avoid the most common pit-falls and learn how to make sure you get the correct results first time, every time.

Here, you’ll learn a holistic method of discovering the story of all the relationships in your data by guiding you through a variety of the most used association and correlation tests in medical statistics – and helping you to choose them correctly. The holistic method is about selecting the most appropriate univariate and multivariate tests and using them together in a single strategic framework to give you confidence that the story you discover is likely to be the true story of your data.

Associations and Correlations for Medical Research is written in plain English with a focus on understanding the data, how to work with it, choose the right ways to analyse it, select the correct statistical tools and how to interpret the results in a way that is easy to understand. It enables medical researchers to understand and to evaluate critically the results of analyses that they will encounter in their own research and in that of others.

Best of all, it makes no assumptions about your previous experience with statistics, is packed with visually intuitive examples from medical research and is perfect for beginners!

 

Discover the world of medical associations and correlations. Get this book, TODAY!

Heather Krausse
David Napoli
Vincent Granville

3 reader testimonials

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