Statistics - A Full Lecture to learn Data Science (2025 Version)

Welcome to our comprehensive and free statistics tutorial (Full Lecture)! In this video, we'll explore essential tools and techniques that power data science and data analytics, helping us interpret data effectively. You'll gain a solid foundation in key statistical concepts and learn how to apply powerful statistical tests widely used in modern research and industry. From descriptive statistics to regression analysis and beyond, we'll guide you through each method's role in data-driven decision-making. Whether you're diving into machine learning, business intelligence, or academic research, this tutorial will equip you with the skills to analyze and interpret data with confidence. The lecture covers topics from 0:00 Intro, 1:52 Basics of Statistics, 21:56 Level of Measurement, 34:56 t-Test, 51:18 ANOVA, 1:05:36 Two-Way ANOVA, 1:21:51 Repeated Measures ANOVA, 1:36:22 Mixed-Model ANOVA, 1:48:04 Parametric and non parametric tests, 1:55:49 Test for normality, 2:03:56 Levene's test for equality of variances, 2:08:11 Mann-Whitney U-Test, 2:17:06 Wilcoxon signed-rank test, 2:28:30 Kruskal-Wallis-Test, 2:38:45 Friedman Test, 2:49:12 Chi-Square test, 2:59:46 Correlation Analysis, 3:27:07 Regression Analysis, 4:35:31 k-means clustering, 4:44:02 Confidence interval.