Statistics

Describing data and drawing conclusions: descriptive stats, inference, hypothesis testing and regression.

intermediate~30 hours11 topics~19h of lessonsRoadmap Level 5

CS proofs, algorithms and ML are all math under the hood; the notation pays off everywhere.

RECOMMENDED BEFORE THIS
○ Probability

These are suggested first. You can still open any topic — this only helps you pick an order.

Prerequisites:Probability
Learning Path
07 stages
11 topics · 7 stages0/11 completed
01

Fundamentals

Start from zero. Build the vocabulary.

Descriptive Statistics~60 minbeginnerData Visualization~60 minbeginner
02

Core Concepts

The ideas you cannot skip.

Sampling and Sampling Distributions~60 minintermediateHypothesis Testing~90 minintermediateConfidence Intervals~60 minintermediate
03

Intermediate

Connect ideas and go deeper.

Correlation and Regression~90 minintermediateA/B Testing~60 minintermediate
04

Advanced

Beyond the basics.

Bayesian Statistics~75 minadvanced
05

Practice

Solve problems until it sticks.

Practice Set: Stats with Python~180 minintermediate
06

Projects

Apply everything in real work.

Project: Data Analysis Report~360 minintermediate
07

Interview Prep

Convert knowledge into offers.

Statistics Interview Questions~60 minadvanced