Statistics - A Full Lecture to learn Data Science

Welcome to our full and free tutorial about statistics (Full-Lecture). We will uncover the tools and techniques that help us make sense of data. This video is designed to guide you through the fundamental concepts and some of the most powerful statistical tests used in research today. From the basics of descriptive statistics to the complexities of regression and beyond, we'll explore how each method fits into the bigger picture of data analysis.

► EBOOK
https://datatab.net/statistics-book

► Statistics Calculator
https://datatab.net/statistics-calculator/descriptive-statistics

► Tutorials
https://datatab.net/tutorial/descriptive-inferential-statistics


0:00 Intro
1:25 Basics of Statistics
21:29 Level of Measurement
34:26 t-Test
50:53 ANOVA (Analysis of Variance)
59:55 Two-Way ANOVA
1:16:47 Repeated Measures ANOVA
1:31:15 Mixed-Model ANOVA
1:42:56 Parametric and non parametric tests
1:50:37 Test for normality
1:58:41 Levene's test for equality of variances
2:02:54 Non-parametric Tests
2:03:29 Mann-Whitney U-Test
2:11:46 Wilcoxon signed-rank test
2:22:03 Kruskal-Wallis-Test
2:32:01 Friedman Test
2:42:30 Chi-Square test
2:53:02 Correlation Analysis
3:20:19 Regression Analysis
4:06:45 k-means clustering