Data Science Simplified

Learning the Machine Learning, in a Human-friendly Way

Timeless Statistical Concepts Every Data Scientist Must Master - With Links to Visual Illustrations & Examples

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In this blog post, I will outline the foundational statistical concepts that are essential for every Data Scientist to know. These concepts ...

Non-linear Relationships: When a 0 Pearson Correlation Coefficient Can Be Surprisingly Meaningful

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We know that Pearson correlation coefficient (r) ranges from -1 to +1. And a zero Pearson correlation coefficient means there exists no line...

Understanding Confidence Intervals with an Intuitive Example

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The concept of confidence intervals (CI) is commonly used in data science. Hence, using an intuitive example, let us learn it with confidenc...

Standard Deviation vs Standard Error: Clearing up the Confusion with Visual Examples

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Standard deviation and standard error are two statistical concepts that are often confused with each other. Though these two measures are re...

Mastering Central Limit Theorem (CLT) with Intuitive Examples

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To understand the Central Limit Theorem (CLT), let's use the example of rolling two dice , repeatedly (say 30 times). Then calculate the...

Demystifying Degrees of Freedom with Visual Examples: A Beginner's Guide

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The concept of degrees of freedom (df) is fundamental and commonly used in statistical analysis. In this blog post, let us thoroughly unders...

The Chi-Square Test Explained with Examples: A Beginner's Guide

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Imagine, in a large gathering, people were given an option to buy any one of the two products for free. You want to test if is there any rel...