Statistics - A Full Lecture to learn Data Science (2025 Version)
numiqo
A single lecture that goes through the statistical tests used most in research and data analysis. After the basics and levels of measurement, it covers t-tests, the main forms of ANOVA and their non-parametric alternatives (Mann-Whitney, Wilcoxon, Kruskal-Wallis, Friedman), then chi-square, correlation and a long section on regression. For each test it explains when to use it and how to read the results.
What you'll learn
- Descriptive statistics and levels of measurement
- Choosing between parametric and non-parametric tests
- t-tests and one-way, two-way and repeated measures ANOVA
- Chi-square tests and correlation analysis
- Regression analysis and how to interpret it
- Confidence intervals and k-means clustering
