Learning Path
Your guided journey from zero to statistical fluency
Not sure where to start? Follow this path. Each step builds on the last, and by the end you’ll have the statistical foundations to truly understand machine learning and AI — not just run the code.
Pro tip
You don’t need to read them in order — but if you’re new to stats, this sequence will build your intuition naturally.
Phase 1: The Basics
What every data-curious person should know.
Week 1
The case for learning foundations first. Why the best ML engineers are closet statisticians.
Week 2
What Data Actually Is
Types, distributions, and why the shape of your data matters more than the algorithm you pick. Coming soon.
Week 3
Mean, Median, Mode — When Averages Lie
The three ways to measure “the middle” and when each one deceives you. Coming soon.
Week 4
Variance & Standard Deviation
Measuring spread — why “close to the average” means nothing without context. Coming soon.
Phase 2: Probability & Distributions
The language of uncertainty that every model speaks.
Week 5
The Normal Distribution
Why the bell curve shows up everywhere — from exam scores to stock prices. Coming soon.
Week 6
Probability Basics
Conditional probability, Bayes’ theorem, and why your intuition about probability is almost always wrong. Coming soon.
Phase 3: Inference & Testing
Making conclusions from incomplete data — the heart of statistics.
Week 7
Sampling & Why Your Sample Isn’t the Population
Why polls get elections wrong and what that teaches us about data. Coming soon.
Week 8
Hypothesis Testing & P-Values
The most misunderstood concept in all of science, explained properly. Coming soon.
Phase 4: Relationships & Models
From understanding data to predicting with it.
Week 9
Correlation ≠ Causation
What correlation actually measures, why ice cream doesn’t cause drowning, and how to think about relationships in data. Coming soon.
Week 10
Linear Regression Explained
Fitting a line through data — the single most important technique in all of statistics. Coming soon.
Week 11
Matrices — Why They Power Everything
Linear algebra for humans. How your data becomes a matrix and why that matters. Coming soon.
Week 12
From Regression to Machine Learning
Connecting the dots — how everything you’ve learned maps directly to ML algorithms. Coming soon.
New articles published weekly. Links will become active as each post goes live.