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Statistics 101

From probability basics to hypothesis testing — build real statistical intuition through interactive visualizations and real-world datasets.

12 Modules 12 hands-on labs Beginner
Statistics Probability Distributions Hypothesis Testing Regression
Start Module 1 → View All Modules
Outcomes

What You'll Learn

Descriptive Analysis
Summarize data with measures of center, spread, and visualization.
Probability Theory
Understand events, conditional probability, and Bayes' theorem.
Statistical Distributions
Work with normal, binomial, Poisson, and other key distributions.
Hypothesis Testing
Design and interpret hypothesis tests with proper significance levels.
Regression Analysis
Build and evaluate linear regression models for prediction.
Real-World Application
Apply statistical methods to real datasets and draw valid conclusions.
Curriculum

Course Modules

12 modules from probability basics to real-world statistical applications.

1
Foundations & Descriptive Statistics
5 lessons1 lab
Start Here
What is Statistics?Slides
Types of DataSlides
Population vs. SampleSlides
Measures of Central TendencySlides
Measures of SpreadSlides
2
Data Visualization
3 lessons1 lab
Available
Visualizing DistributionsSlides
Visualizing RelationshipsSlides
Effective Data CommunicationSlides
3
Probability Foundations
3 lessons1 lab
Available
What is Probability?Slides
Conditional ProbabilitySlides
Bayes' Theorem in PracticeSlides
4
Random Variables & Distributions
4 lessons1 lab
Available
Random VariablesSlides
Common Discrete DistributionsSlides
Common Continuous DistributionsSlides
The Central Limit TheoremSlides
5
Estimation
3 lessons1 lab
Available
Point EstimationSlides
Confidence IntervalsSlides
Bootstrap MethodsSlides
6
Hypothesis Testing
4 lessons1 lab
Available
The Logic of Hypothesis TestingSlides
Common TestsSlides
ANOVASlides
Common PitfallsSlides
7
Regression
4 lessons1 lab
Available
Simple Linear RegressionSlides
Multiple RegressionSlides
Regression DiagnosticsSlides
Beyond Linear RegressionSlides
8
Non-Parametric Methods
3 lessons1 lab
Available
Why Non-Parametric?Slides
Non-Parametric TestsSlides
Non-Parametric RegressionSlides
9
Bayesian Statistics
2 lessons1 lab
Available
The Bayesian FrameworkSlides
Bayesian EstimationSlides
Computational Bayesian MethodsSlides
10
Time Series
3 lessons1 lab
Available
Time Series BasicsSlides
ARIMA ModelsSlides
ForecastingSlides
11
Experimental Design
3 lessons1 lab
Available
Designing ExperimentsSlides
A/B TestingSlides
Causal InferenceSlides
12
Capstone & What's Next
3 lessons1 project
Available
Statistics in the WildSlides
Advanced Topics PreviewSlides
Resources and CareerSlides
Before You Start

Prerequisites

Ready to start Statistics?

Begin with Module 1 and discover how statistics helps you make sense of data and the world around you.

Start Module 1 →
Labs & Demos 10 interactive demos — 10 interactive demos