Essential Statistics
Offered By: Eberhard Karls University of Tübingen via YouTube
Course Description
Overview
Learn fundamental statistical concepts and techniques in this comprehensive 7-hour course covering introduction to statistics, summary measures, probability distributions, hypothesis testing, confidence intervals, t-tests, ANOVA, correlation, regression, and analysis of dichotomous data. Gain practical skills in statistical inference and data analysis applicable across various fields of study.
Syllabus
01 Introduction.
02 Basic Concepts.
03 Summary Statistics.
04 Probability and Distributions.
05 The normal distribution.
06 Statistical Inference.
07 Confidence Intervals.
08 Two sample t test.
09 Wilcoxon.
10 Tests for paired samples.
12 ANOVA.
13 Post hoc testing.
14 Correlation coefficient.
15 Linear Regression.
16 Analyzing dichtotomous data I.
17 Analyzing dichtotomous data II.
Taught by
Tübingen Machine Learning
Tags
Related Courses
Design of Computer ProgramsStanford University via Udacity Intro to Statistics
Stanford University via Udacity Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX Mathematical Biostatistics Boot Camp 1
Johns Hopkins University via Coursera Statistics
San Jose State University via Udacity