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Learning paths

Tutorial series: every part of a topic, in order.

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Learning path · 12 parts

Statistics From Zero for Data Work

by Niranjan Singh · 12 parts · about 226 min · beginner

The statistics every data role uses daily, explained from the first idea with small real datasets. No formula is used before it is motivated.

Start path

Articles

Ten Data Leakage Mistakes and How to Catch Them
Data Science

Ten Data Leakage Mistakes and How to Catch Them

A practical tour of the ten most common ways test information sneaks into model training, with worked examples and concrete …

The MLHub Posts Organization

1 day, 7 hours ago • 17 min read

0 0 11
Project: A Statistical Profile of a City's Housing Prices
Data Science
Part 12 of 12 · Statistics From Zero for Data Work

Project: A Statistical Profile of a City's Housing Prices

A capstone project that brings every idea from this statistics path together: build a synthetic housing dataset, describe it honestly …

Niranjan Singh

1 week, 3 days ago • 36 min read

0 0 35
Hands-On: Describe a Real Dataset With pandas
Data Science
Part 11 of 12 · Statistics From Zero for Data Work

Hands-On: Describe a Real Dataset With pandas

Load a real dataset into pandas and work through every descriptive statistic from Parts 3 to 10 of this path, …

Niranjan Singh

1 week, 5 days ago • 21 min read

0 0 51
Populations, Samples and Sampling Bias
Data Science
Part 10 of 12 · Statistics From Zero for Data Work

Populations, Samples and Sampling Bias

Every number you have computed so far in this path came from a sample, not the whole truth. This part …

Niranjan Singh

2 weeks ago • 15 min read

0 0 37
Correlation and Covariance, and Why Correlation Misleads
Data Science
Part 9 of 12 · Statistics From Zero for Data Work

Correlation and Covariance, and Why Correlation Misleads

A plain-language walkthrough of covariance and correlation, built from a small worked example, followed by the ways a single correlation …

Niranjan Singh

2 weeks, 2 days ago • 21 min read

0 0 59
Outliers: Find Them, Then Decide What They Mean
Data Science
Part 8 of 12 · Statistics From Zero for Data Work

Outliers: Find Them, Then Decide What They Mean

A practical guide to spotting unusual values with the IQR rule and z-scores, understanding why each method can mislead you, …

Niranjan Singh

2 weeks, 4 days ago • 14 min read

0 0 54
The Normal Distribution and the 68-95-99.7 Rule
Data Science
Part 7 of 12 · Statistics From Zero for Data Work

The Normal Distribution and the 68-95-99.7 Rule

A plain-language guide to the bell curve: what makes a distribution normal, why the 68-95-99.7 rule works, and how z-scores …

Niranjan Singh

2 weeks, 6 days ago • 19 min read

0 0 37
Distributions in Plain Words: Shape, Skew and Tails
Data Science
Part 6 of 12 · Statistics From Zero for Data Work

Distributions in Plain Words: Shape, Skew and Tails

Mean and spread only tell part of the story. This guide builds intuition for the shape of a distribution, symmetric …

Niranjan Singh

3 weeks, 1 day ago • 20 min read

0 0 38
Percentiles, Quartiles and Box Plots
Data Science
Part 5 of 12 · Statistics From Zero for Data Work

Percentiles, Quartiles and Box Plots

Learn what a percentile actually measures, how quartiles and the five-number summary are built from it, and how to read …

Niranjan Singh

3 weeks, 2 days ago • 13 min read

0 0 82
Spread: Range, Variance, Standard Deviation and IQR
Data Science
Part 4 of 12 · Statistics From Zero for Data Work

Spread: Range, Variance, Standard Deviation and IQR

The mean or median tells you where data sits, but not how tightly it is packed. This article builds range, …

Niranjan Singh

3 weeks, 3 days ago • 20 min read

0 0 47
Mean, Median and Mode: Which Centre to Trust
Data Science
Part 3 of 12 · Statistics From Zero for Data Work

Mean, Median and Mode: Which Centre to Trust

Mean, median and mode all claim to describe the typical value in a dataset, but they can tell very different …

Niranjan Singh

3 weeks, 4 days ago • 19 min read

0 0 53
Types of Data: Categorical, Ordinal, Discrete and Continuous
⭐
Data Science
Part 2 of 12 · Statistics From Zero for Data Work

Types of Data: Categorical, Ordinal, Discrete and Continuous

Before you compute a single statistic, you need to know what kind of data you are holding. This article teaches …

Niranjan Singh

3 weeks, 4 days ago • 17 min read

0 1 120

Latest News

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