Statistics 101

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

12 Modules 0 of 12 labs published Beginner
Statistics Probability Distributions Hypothesis Testing Regression

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.

Course Modules

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

1
Foundations & Descriptive Statistics
5 lessonsNo labs yet
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2
Data Visualization
3 lessonsNo labs yet
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3
Probability Foundations
3 lessonsNo labs yet
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4
Random Variables & Distributions
4 lessonsNo labs yet
Available
5
Estimation
3 lessonsNo labs yet
Available
6
Hypothesis Testing
4 lessonsNo labs yet
Available
7
Regression
4 lessonsNo labs yet
Available
8
Non-Parametric Methods
3 lessonsNo labs yet
Available
9
Bayesian Statistics
2 lessonsNo labs yet
Available
10
Time Series
3 lessonsNo labs yet
Available
11
Experimental Design
3 lessonsNo labs yet
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12
Capstone & What's Next
3 lessonsNo project yet
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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