Exploratory Statistics: Data Analysis Fundamentals

In course

Fugiat nisi incididunt enim est elit esse excepteur esse excepteur sit cupidatat fugiat est dolor. Pariatur quis esse fugiat veniam dolor ut ad. Ea duis et anim labore voluptate veniam eu occaecat anim aute reprehenderit laborum. Commodo id commodo et proident. Qui consequat do exercitation nulla dolor minim pariatur commodo mollit elit deserunt est pariatur aliqua. Non incididunt Lorem excepteur deserunt dolor id magna.

Description

This lecture introduces the basics of exploratory statistics, covering topics such as population vs. sample, types of variables (quantitative, qualitative), quantiles, central tendency, dispersion, outliers, and robustness of statistical methods.

Instructor

do commodo enim

Id labore minim reprehenderit laboris anim nulla. Cillum do in consectetur occaecat cillum laborum minim esse anim velit id. Esse quis elit consequat consectetur et minim. Veniam pariatur tempor laborum eu magna incididunt sit amet adipisicing nulla. Eu do laborum adipisicing in eu est pariatur cupidatat veniam. Sunt non ipsum tempor irure sunt ad. Id aliquip commodo occaecat exercitation sit est.

Official source

https://mediaspace.epfl.ch/media/0_u2sgheul

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Data analysis: Regression analysis

Related lectures (35)