Welcome to Data Science
🐱
for
Psychologists
S. Mason Garrison
title: “Welcome to Data Science
🐱
for Psychologists”
author: “S. Mason Garrison” output: revealjs::revealjs_presentation:
css: “../slides.css” self_contained: true incremental: true
title: “Welcome to Data Science
🐱
for Psychologists”
author: “S. Mason Garrison” output: revealjs::revealjs_presentation:
css: “../slides.css” self_contained: true incremental: true
Hello world!
What is data science?
- + =
data science?
- + =
data science?
- + +
= data science?
- + +
= data science?
Data science is an exciting discipline that allows you to turn raw
data into understanding, insight, and knowledge. We’re going to learn to
do this in a tidy way – more on that later!
What is this course?
This course is an introduction to data science that is designed for
psychologists. It emphasizes statistical thinking and best
practices.
Q - What data science background does this course
assume?
A - None.
Q - Is this an intro CS course?
A - Although statistics and computer science ≠ data science, they are
very closely related and have tremendous overlap. Hence, this course is
a great way to get comfortable with those topics. However this course is
not your typical course.
Q - Will we be doing computing?
A - Yes.
Q - What computing language will we learn?
A - R.
Q: Why not language X?
A: We can discuss that remotely over ☕.
Wrapping up… Hello world!
Data in the wild
The US of Bey
.footnote[Brooke Watson, [blog.brooke.science/posts/the-us-of-bey
(https://blog.brooke.science/posts/the-us-of-bey)
Punctuation in literature
.footnote[ Julia Silge, [juliasilge.com/blog/punctution-literature
(https://juliasilge.com/blog/punctution-literature/)
(http://varianceexplained.org/r/trump-tweets)
(https://gist.github.com/mine-cetinkaya-rundel/03d7516dea1e5f2613a5d71c28edb08d)
Voting patterns in the UN
[minecr.shinyapps.io/unvotes
(https://minecr.shinyapps.io/unvotes/)
Wrapping up… Data in the wild
Course structure and policies
Logistics
- PSY 703: Data Science for Psychologists (Flipped Classroom)
- S. Mason Garrison (Green 438/Zoom)
- Office Hours: [calendly.com/smasongarrison
(http://www.calendly.com/smasongarrison/)
Tukey 🐱, Archie 😺, Annie 😾
Structure
- Interactive: Some lectures, lots of learn-by-doing
- Mondays: Face-to-Face Tutorials
- Wednesdays: Solidarity Sessions
- Bring your laptop! 💻
- Flipped Lectures: Pre-recorded lectures, weekly modules
Big Ideas
- Reproducibility
- Replication
- Robust Methods
- Really Nice Visualization
- R
Learning Outcomes
- Use R to visualize and model many kinds of data
- Given a dataset: visualize, hypothesize, analyze, and
communicate
Materials
- Textbook: R for Data Science (r4ds.had.co.nz)
- Coursenotes: [datascience4psych.github.io/DataScience4Psych
(https://datascience4psych.github.io/DataScience4Psych/)
Software: R, RStudio, GitHub
Contract Grading
- Based on effort
- More representative of scientific process
- Details in syllabus and course notes
Diversity & Inclusion
- Respectful of all identities
- Encouragement to speak up about classroom experiences
How to get help
- Course forum over direct messages
- Office hours for in-person support
Tips for asking questions
- Search before posting
- Describe context with concepts, not assignment numbers
- Be precise and code-formatted
Sharing/reusing code
- Cite sources of copied/inspired code
- Collaborate, but don’t write code for others
Wrapping Up…
Your Turn!
Voting patterns in the UN
(https://github.com/) and
create an account
Tips for usernames: - Include your name - Be unique and timeless -
Avoid programming keywords
Your Turn Option 1
- Visit: [github.com/DataScience4Psych/ae01a_unvotes
(https://github.com/DataScience4Psych/ae01a_unvotes)
Open and Knit unvotes.Rmd
Change name and countries
Your Turn Option 2
- Visit: [github.com/DataScience4Psych/ae01b_covid
(https://github.com/DataScience4Psych/ae01b_covid)
Open and Knit covid.Rmd
Change name and countries
Wrapping Up…
