Lectures

Lecture 8

lecture
bonus

... in which we venture into the unknown to show an example data analysis, gather more data with webscraping and build a small app.

Lecture 7

lecture

... in which we hear Stories of Warplanes, Correlation and Regression and explore the Datasaurus Dozen.

Lecture 6

lecture

... in which we explore continuous distributions with spotify data, find out about the central limit theorem and related statistical tests and become N-dimensional whale sharks.

Lecture 5

lecture

... in which we reason about the nature of randomness and discover various statistical tests.

Lecture 4

lecture

... which is all about functions, bringing the whole tidyverse together and exploring advanced dplyr data wrangling techniques.

Lecture 3

lecture

... in which we explore the concept of Tidy Data, learn more advanced data wrangling techniques and get a sneak peak at iteration.

Lecture 2

lecture

... in which we explore the typical data analysis workflow with the tidyverse, wrangle different kinds of data and learn about factors.

Lecture 1

lecture

... in which we get started with R and RStudio, explore the basic structures and operations of R and build our first plot by discovering a Grammar of Graphics.

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Lectures

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Text and figures are licensed under Creative Commons Attribution CC BY 4.0. Source code is available at https://github.com/jmbuhr/dataIntro20, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".