This lesson covers the ANOVA test for comparing whether the mean of a numeric variable differs depending on the value one a categorical variable. This lesson covers one-way ANOVA tests for comparing across a single categorical variable, and two-way ANOVA tests for comparing across two categorical variables and their interactions.

This lesson covers the ANOVA test for comparing whether the mean of a numeric variable differs depending on the value one a categorical variable. This lesson covers one-way ANOVA tests for comparing across a single categorical variable, and two-way ANOVA tests for comparing across two categorical variables and their interactions.

This guide does not assume any prior exposure to R, programming or data science. It is intended for beginners with an interest in data science and those who might know other programming languages and would like to learn R.

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In Conversation With Dr Suman Sanyal, NIIT University,he shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.

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