返回到 RStudio for Six Sigma - Hypothesis Testing
學生對 Coursera Project Network 提供的 RStudio for Six Sigma - Hypothesis Testing 的評價和反饋
課程概述
Welcome to RStudio for Six Sigma - Hypothesis Testing. This is a project-based course which should take approximately 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure.
By the end of this project, you will learn to identify data types (continuous vs discrete), understand what is Hypothesis Testing, pick the right Hypothesis Testing tool, perform various Hypothesis Tests including Correlation, Simple Regression, Logistic Regression, Chi-Square Test, T-Tests, Analysis of Variance (ANOVA), and Non-Parametric tests such as Wilcoxon Rank Sum and Kruskal Wallis.
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1 - RStudio for Six Sigma - Hypothesis Testing 的 2 個評論（共 2 個）
創建者 Liz B
•2022年1月18日
Very thorough and highly detailed. This intructor tends to move quickly through a lot of material.
創建者 Enrique R M
•2021年2月2日
el curso es bueno, y la idea de un proyecto guiado realmente ayuda.
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