M/W/F from 10:30-11:20 via Zoom
| Date | Topics | Notes (html) | Source (Rmd) | Zoom recording | Background |
|---|---|---|---|---|---|
| 4 Jan |
Course overview What is data science? Types of questions Storytelling |
Leek & Peng (2015) D’Agostino McGowan (2020) Peng (2018) |
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| 6 Jan |
Steps to an analysis Informal vs formal Rubrics Required software |
Cooper & Hsing (2017) |
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| 8 Jan |
Organization & styles Research compendia Coding styles |
Marwick et al (2018) Tidyverse Style Guide |
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| 11 Jan |
Introduction to GitHub Repositories Markdown Issues Projects |
Intro to GitHub |
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| 13 Jan |
Version control with Git Adding files Committing file Exploring history Reverting files |
Blischak et al (2016) Chap 20 of HGG |
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| 15 Jan |
Remote repositories Remotes in GitHub RStudio projects Pushing/pulling |
RStudio cheatsheet Chaps 9 & 10 of HGG |
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| 18 Jan |
Martin Luther King, Jr. Day No class |
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| 20 Jan |
Understanding workflows Centralized Feature branch Forking |
(1) (2) |
(1) (2) |
Sec VI of HGG Learn Git branching |
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| 22 Jan |
Working with data Chain of custody Tidy data Manual entry |
Ellis & Leek (2017) Broman & Woo (2018) |
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| 25 Jan |
Getting data Importing text files Reading from Excel & Google |
readr pkg readxl pkg googlesheets pkg jsonlite pkg |
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| 27 Jan |
Getting help Minimal Complete Reproducible |
Maelle Salmon’s blog Reprex do’s & don’ts |
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| 29 Jan |
Kara Woo Data science for fun and nonprofit Guest presentation |
Kara’s website |
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| 1 Feb |
Jennifer Scheuerell Intro to relational databases SQL programming language PostgreSQL & its community |
About PostgreSQL Installing PostgreSQL Troubleshooting PostgreSQL |
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| 3 Feb |
Jennifer Scheuerell Creating a database New users & databases Adding data |
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| 5 Feb |
Jennifer Scheuerell Working with a database Cleaning data Joining tables |
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| 8 Feb |
Review session Workflows Reprexes Databases |
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| 10 Feb |
Metadata Types of metadata Ecological Metadata Language |
Michener (2005) Fegraus et al (2005) EML specification EML package |
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| 12 Feb |
Data analysis & visualization Data summaries Design principles Exploratory figures Expository figures |
R Graph Gallery High Quality Graphics in R |
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| 15 Feb |
President’s Day No class |
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| 17 Feb |
R Markdown Introduction Publishing papers |
Intro to R Markdown |
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| 19 Feb |
R Markdown Publishing papers Reporting |
Chap 6 of Markdown Cookbook |
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| 22 Feb |
Dr. Christine Stawitz Data science skills for a career in fisheries management Guest presentation |
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| 24 Feb |
R packages Functions Documentation |
Wickham & Bryan (2020) |
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| 26 Feb |
R packages Unit tests Vignettes Websites |
Wickham & Bryan (2020) |
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| 1 Mar |
Dr. Margaret Siple Shiny apps Introduction |
RStudio Shiny apps Sievert (2019) |
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| 3 Mar |
Dr. Margaret Siple Shiny apps Development Deployment |
Shiny App Contest |
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| 5 Mar |
R Markdown Designing presentations |
Chap 4 of Xie et al. (2014) |
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| 8 Mar |
R Markdown Building simple websites |
GitHub Pages Chap 17 of HGG |
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| 10 Mar |
Code reviews Checklists Do’s and Don’ts |
rOpenSci Guide |
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| 12 Mar |
Ethics in data science Data selection Analysis & inference |
FAIR data principles CARE data principles Lum (2018) Bias in data Fox (2020) Faculty job market |