What You'll Learn

Lecture 1: Introduction & Variable Types

Why statistics matters, causality, AI & data science in context, and your first hands-on quiz on variable types.

Lecture 2: Descriptive Statistics

Mean, median, variance, percentiles — the core toolkit, with coding in R and Python. Assignment: Statistical Summaries

Lecture 3: Visualizing Data

Tufte's principles, boxplots, density plots, and barplots. Learn to spot the story in your data. Assignment: redesign a bad graph.

Lecture 4: Probability Distributions

From Normal to Poisson to Beta — the distributions you'll actually encounter, and when each one applies.

Lecture 5: Hypothesis Testing

P-values, estimators, Bayes' theorem, and the dangerous habits nobody warns you about.

Lecture 6: Modelling

Correlation, linear & logistic regression, GLMs, and ANOVA — all leading to your capstone project on real data.

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What You'll Get

✅ 10+ hours of videos
✅ Quizzes & Assignments
✅ Course Certificate
✅ R & Python code
✅ Expert Insights
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