Free Advanced Statistics Course

Free Advanced Statistics Course covers core concepts, statistical tests & data analysis techniques used in data science and research.

Welcome to our Statistics Tutorial Full Lecture – your ultimate, free resource to master statistics for data science, business analytics, and research!

This comprehensive video tutorial is perfect for beginners, students, and professionals looking to strengthen their data interpretation skills. We’ll walk you through key statistical methods that form the backbone of modern data-driven decision-making. From understanding basic statistical concepts to mastering advanced inferential techniques, this lecture has everything you need in one place.

What You’ll Learn in this Free Advanced Statistics Course:

• Descriptive & Inferential Statistics
• Levels of Measurement
• Hypothesis Testing: t-Test, ANOVA, Chi-Square
• Non-Parametric Tests: Mann-Whitney, Wilcoxon, Kruskal-Wallis
• Regression & Correlation Analysis
• Confidence Intervals & Normality Tests
• k-Means Clustering and More

Free Advanced Statistics Course Topics:

Introduction
Basics of Statistics
Level of Measurement
t-Test
ANOVA (Analysis of Variance)
Two-Way ANOVA
Repeated Measures ANOVA
Mixed-Model ANOVA
Parametric & Non-Parametric Tests
Test for Normality
Levene’s Test (Equality of Variances)
Mann-Whitney U-Test
Wilcoxon Signed-Rank Test
Kruskal-Wallis Test
Friedman Test
Chi-Square Test
Correlation Analysis
Regression Analysis
k-Means Clustering
Confidence Intervals

This Free Advanced Statistics Course suitable for:

• Aspiring data scientists
• Business analysts and market researchers
• Academics and students in social science, economics, or psychology
• Machine learning and AI enthusiasts
• Anyone seeking to understand data scientifically

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