[Readings]{.h2}
::: {.no-bullets} * [Reading 1]{.card-downloads-format} :::
[Module exercises]{.h2}
::: {.no-bullets} * [Module 1 exercises]{.card-downloads-format} :::
[Homeworks]{.h2}
::: {.no-bullets} * [Mini-homework 1]{.card-downloads-format} :::
[Videos]{.h2}
::::: {.videos-container} ::: {.video-item} 01 - Science
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::: {.video-item} 02 - Data Overview
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::: {.video-item} 03 - Data Sampling
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::: {.video-item} 04 - Computation
::: :::::
[Slides]{.h2}
::: {.no-bullets} * [01 - Science]{.card-downloads-format}
[Readings]{.h2}
::: {.no-bullets} * [Reading 2]{.card-downloads-format} :::
[Homeworks]{.h2}
::: {.no-bullets} * [Mini-homework 2a — R Markdown practice]{.card-downloads-format}
[Videos]{.h2}
::::: {.videos-container} ::: {.video-item} 01 - Reproducibility in science
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::: {.video-item} 02 - Reproducible research toolkit
::: :::::
[Slides]{.h2}
::: {.no-bullets} * [01 - Reproducibility in science]{.card-downloads-format}
[Readings]{.h2}
::: {.no-bullets} * [Reading 3]{.card-downloads-format} :::
[Homeworks]{.h2}
::: {.no-bullets} * [Mini-homework 3 — Visualization by example]{.card-downloads-format}
[Videos]{.h2}
::::: {.videos-container} ::: {.video-item} 01 - Data visualization as communication
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::: {.video-item} 02 - Examining numerical data
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::: {.video-item} 03 - Describing visualizations
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::: {.video-item} 04 - Data visualization with ggplot2
::: :::::
[Slides]{.h2}
::: {.no-bullets} * [01 - Data visualization as communication]{.card-downloads-format}
[Readings]{.h2}
::: {.no-bullets} * [Reading 4]{.card-downloads-format} :::
[Module exercises]{.h2}
::: {.no-bullets} * [Module 4 exercises]{.card-downloads-format} :::
[Homeworks]{.h2}
::: {.no-bullets} * [Mini-homework 4 — Flights of New York]{.card-downloads-format}
[Videos]{.h2}
::::: {.videos-container} ::: {.video-item} 01 - What is data wrangling?
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::: {.video-item} 02 - The presidential dataset
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::: {.video-item} 03 - The select function
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::: {.video-item} 04 - The pipe operator
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::: {.video-item} 05 - The arrange function
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::: {.video-item} 06 - The slice function
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::: {.video-item} 07 - Boolean logic
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::: {.video-item} 08 - The filter function
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::: {.video-item} 09 - The mutate function
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::: {.video-item} 10 - The group_by and summarize functions
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::: {.video-item} 11 - Other helpful dplyr verbs
::: :::::
[Slides]{.h2}
::: {.no-bullets} * [01 - What is data wrangling?]{.card-downloads-format}
[02 - The [presidential]{.monospace} dataset]{.card-downloads-format}
[03 - The [select]{.monospace} function]{.card-downloads-format}
[04 - The pipe [%>%]{.monospace} operator]{.card-downloads-format}
[05 - The [arrange]{.monospace} function]{.card-downloads-format}
[06 - The [slice]{.monospace} function]{.card-downloads-format}
[08 - The [filter]{.monospace} function]{.card-downloads-format}
[09 - The [mutate]{.monospace} function]{.card-downloads-format}
[10 - The [group_by]{.monospace} and [summarize]{.monospace} functions]{.card-downloads-format}
[11 - Other helpful dplyr verbs]{.card-downloads-format} :::
[Readings]{.h2}
::: {.no-bullets} * [Reading 5]{.card-downloads-format} :::
[Module exercises]{.h2}
::: {.no-bullets} * [Module 5 exercises]{.card-downloads-format} :::
[Homeworks]{.h2}
::: {.no-bullets} * [Mini-homework 5 — Tidy Gradebook]{.card-downloads-format} :::
[Videos]{.h2}
::::: {.videos-container} ::: {.video-item} 01 - Principles of tidy data
:::
::: {.video-item} 02 - The [gather]{.monospace} function
:::
::: {.video-item} 03 - The [spread]{.monospace} function
:::
::: {.video-item} 04 - The [separate]{.monospace} function
:::
::: {.video-item} 05 - The [unite]{.monospace} function
::: :::::
[Slides]{.h2}
::: {.no-bullets} * [01 - Principles of tidy data]{.card-downloads-format}
[Readings]{.h2}
::: {.no-bullets} * [Reading 6]{.card-downloads-format} :::
[Module exercises]{.h2}
::: {.no-bullets} * [Module 6 exercises]{.card-downloads-format} :::
[Homeworks]{.h2}
::: {.no-bullets} * [Mini-homework 6 — Analyzing data distributions]{.card-downloads-format} :::
[Videos]{.h2}
::::: {.videos-container} ::: {.video-item} 01 - Quantifying data distributions
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::: {.video-item} 02 - Quantifying data distributions in R
:::
::: {.video-item} 03 - Probability mass functions
:::
::: {.video-item} 04 - Cumulative distribution functions
::: :::::
[Slides]{.h2}
::: {.no-bullets} * [01 - Quantifying data distributions]{.card-downloads-format}
[Readings]{.h2}
::: {.no-bullets} * [Reading 7]{.card-downloads-format} :::
[Homeworks]{.h2}
::: {.no-bullets} * [Mini-homework 7 — Who busts the Mythbusters?]{.card-downloads-format}
[Videos]{.h2}
::::: {.videos-container} ::: {.video-item}
01 - Gender discrimination case study
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::: {.video-item}
02 - A hypothesis test as a court trial
:::
::: {.video-item}
03 - A manual simulation of the gender discrimination experiment
:::
::: {.video-item}
04 - Simulating the gender discrimination experiment in R
:::
::: {.video-item}
05 - One-sided hypothesis tests using infer
:::
::: {.video-item}
06 - Two-sided hypothesis tests using infer
::: :::::
[Slides]{.h2}
::: {.no-bullets} * [01 - Gender discrimination case study]{.card-downloads-format}
[02 - A hypothesis test as a court trial]{.card-downloads-format}
[03 - A manual simulation of the gender discrimination experiment]{.card-downloads-format}
[04 - Simulating the gender discrimination experiment in R]{.card-downloads-format}
[05 - One-sided hypothesis tests using infer]{.card-downloads-format}
[06 - Two-sided hypothesis tests using infer]{.card-downloads-format}
[07 - Variability of estimates and confidence intervals]{.card-downloads-format}
[08 - Simulating the confidence interval]{.card-downloads-format}
[Readings]{.h2}
::: {.no-bullets} * [Reading 8]{.card-downloads-format} :::
[Homeworks]{.h2}
::: {.no-bullets} * [Mini-homework 8 — Under (blood) pressure]{.card-downloads-format}