Statistics provides the tools to describe data, understand uncertainty, test ideas and interpret results. In this series, we make the essential concepts intuitive through visuals, everyday examples and connections to AI and Machine Learning.
What you will learn
- Describe data and variation
- Interpret distributions
- Reason about probability
- Distinguish samples from populations
- Understand confidence intervals and hypothesis tests
- Interpret correlation and regression
- Recognize statistical ideas in ML evaluation
About the series
Who it is for: Students, business professionals, analysts and aspiring AI practitioners.
Prerequisites: Comfort with basic arithmetic and charts. Python is optional.
Format: Beginner to intermediate · Video-led · Optional Python exercises
SEASON 1
Episode outline
Episodes will link here as they are published.
| Ep | Title | Learning focus | Status |
|---|---|---|---|
| 01 | Why Statistics Matters in AI | Data, uncertainty, patterns and evidence | Coming soon |
| 02 | Understanding Data & Variables | Data types, measurements and datasets | Coming soon |
| 03 | Descriptive Statistics | Mean, median, mode, variance and standard deviation | Coming soon |
| 04 | Visualizing Data | Histograms, box plots, scatterplots and distributions | Coming soon |
| 05 | Probability Fundamentals | Events, conditional probability and Bayes’ theorem | Coming soon |
| 06 | Probability Distributions | Normal, binomial and other useful distributions | Coming soon |
| 07 | Sampling & the Central Limit Theorem | Populations, sampling and sampling distributions | Coming soon |
| 08 | Confidence Intervals | Estimation, precision and uncertainty | Coming soon |
| 09 | Hypothesis Testing | Null hypotheses, p-values and practical significance | Coming soon |
| 10 | Correlation & Regression | Association, linear prediction and limitations | Coming soon |
| 11 | Statistics in Machine Learning | Errors, generalization and evaluation | Coming soon |
| 12 | Putting It All Together | Guided applied data analysis | Coming soon |