The most in-demand skills in the world right now are in Data Science and Machine Learning. In this single video, you’ll learn a key foundational aspect of both fields — Statistics.
This beginner-friendly tutorial condenses a 500-page textbook into practical, real-world lessons. You’ll explore everything from charts and distributions to probability, hypothesis testing, and regression. Instead of just memorising formulas, you’ll understand how they apply to real problems making complex concepts easier to grasp.
What You’ll Learn:
- Categorical vs. numerical data
- Data visualisation: pie charts, bar charts, histograms
- Core statistical measures: mean, median, mode, variance, standard deviation
- Probability distributions and the normal distribution
- Z-scores, t-distributions, and confidence intervals
- Hypothesis testing and p-values
- Regression analysis and correlation
- Chi-square tests and more
If you’re serious about understanding the math behind Machine Learning, this is the perfect starting point. Upcoming videos will cover Linear Algebra, Calculus, and essential Python frameworks.
Watch the full video here:
