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Associations and Correlations

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: 

  • how to avoid the most common pitfalls
  • how to make sure you get the correct results first time, every time
  • a variety of the most used association and correlation tests


This is a great book for beginners.

This book teaches everything a Data Scientist needs to understand.

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Alessio del Zotto

What's inside?

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 we’re going to understand 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 – 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

Very concise, yet covers all important aspects and considerations about how and when to use correlation.

The flow of presentation greatly facilitates gradual understanding. I will use it as a guide when I teach this subject.

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Robin Rivest

Why should you care what I say?

I have worked with data for most of my adult life. I have worked with data from the Visible Human Project, the Human Genome Project, a major European Soil Database, Medical Imaging Data, and loads and loads of Data from Clinical Studies Research.

I now help other scientists and business analysts just like you get the story of their data quickly and easily.

I checked out this book because I teach data analytics courses and like to have resources at various technical level for statistics, programming, etc. This book is reasonably brief and well written, covers some important basics (e.g., data types). Still, a bit beyond students who have had no stat background, but that's okay with sufficient instructor guidance. Discussion of contingency tables could be a bit more clear...show how to get expected values before showing chi square, for example. Some discussion of how to validate real causation would be helpful.

Useful as a supplement to instruction on data analytics.

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Harry J Foxwell
Lee Baker - CEO Chi-Squared Innovations
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“​My Mission Is To Unleash Your Inner Data Ninja”


​Lee Baker


Steve Smith

The author has an excellent communication style and walks you through technical material sans deep math (not my forte). His approach made it possible to understand and use the material immediately.

The basics and details of associations and correlations, why people confuse them (endlessly), and why you should not. The author lays out a practical, easy to follow approach to conducting analyses that keeps you on track throughout your work. And it includes performing computations manually, which is incredibly enlightening . The author presents the information in an uncomplicated way so you can really focus on learning the statistics and not on the underpinning math and theory. That's what I call practical!

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Associations and Correlations

Learn how to unearth powerful insights buried in your data

Associations and Correlations 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 researchers of all backgrounds to understand and to evaluate critically the results of analyses that they are likely to 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 and is perfect for beginners!

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