Data Science in a Box

Data Science in a Box (datasciencebox.org) is an open-source project that aims to equip educators with concrete information on content and infrastructure for designing and painlessly running a semester-long modern introductory data science course with R. In this talk we outline five guiding pedagogical principles that underlie the choice of topics and concepts introduced in the course as well as their ordering, highlight a sample of examples and assignments that demonstrate how the pedagogy is put into action, introduce `dsbox` -- the companion R package for datasets used in the course as well as interactive tutorials, and share sample student work and feedback. We will also walk through a quick start guide for faculty interested in using all or some of these resources in their teaching.

Transcript

1. bit.ly/dsbox-adsa mine-cetinkaya-rundel cetinkaya.mine@gmail.com @minebocek MINE ÇETINKAYA-RUNDEL UNIVERSITY OF EDINBURGH + DUKE UNIVERSITY + RSTUDIO
2. bit.ly/dsbox-adsa Three questions that keep me up at night… 1 What should my students learn? 2 How will my students learn best? 3 What tools will enhance my students’ learning?
3. bit.ly/dsbox-adsa 1 What should my students learn? 2 How will my students learn best? 3 What tools will enhance my students’ learning? Three questions that keep me up at night… Content Pedagogy Infrastructure
4. bit.ly/dsbox-adsa Infrastructure Pedagogy Content
5. bit.ly/dsbox-adsa Infrastructure Pedagogy Content
6. bit.ly/dsbox-adsa
7. bit.ly/dsbox-adsa datasciencebox.org rstudio-education/datascience-box
8. bit.ly/dsbox-adsa AUDIENCE I have been teaching with R for a while, but I want to update my teaching materials I’m new to teaching with R and need to build up my course materials This teaching slide deck I came across on Twitter is pretty cool, but I have no idea what type of course it belongs in
9. bit.ly/dsbox-adsa TOPICS
10. bit.ly/dsbox-adsa CONTENTS 30 slide decks 10 application exercises 13 computing labs ✍ 8 homework assignments ✔ 2 take-home exams 1 open-ended project website datasciencebox.org repository 8 interactive tutorials package dsbox … videos
11. bit.ly/dsbox-adsa DESIGN PRINCIPLES cherish day one skip baby steps start with cake leverage the ecosystem hide the veggies
12. DESIGN PRINCIPLES Which kitchen would you rather bake a cake?
13. DESIGN PRINCIPLES Which kitchen would you rather bake a cake?
14. DESIGN PRINCIPLES Cherish day one rstd.io/dsbox-cloud
15. DESIGN PRINCIPLES How do you prefer your cake recipes? Words only, or words & pictures?
16. DESIGN PRINCIPLES How do you prefer your cake recipes? Words only, or words & pictures?
17. DESIGN PRINCIPLES Start with cake ‣ Open today’s demo project ‣ Knit the document and discuss the results with your neighbor ‣ Then, change Turkey to a different country, and plot again
18. DESIGN PRINCIPLES Start with cake With great examples, comes a great amount of code… but let’s focus on the task at hand… ‣ Open today’s demo project ‣ Knit the document and discuss the results with your neighbor ‣ Then, change Turkey to a different country, and plot again
19. DESIGN PRINCIPLES Start with cake un_votes %>% filter(country %in% c("UK & NI", “US”, "Turkey")) %>% inner_join(un_roll_calls, by = "rcid") %>% inner_join(un_roll_call_issues, by = "rcid") %>% group_by(country, year = year(date), issue) %>% summarize( votes = n(), percent_yes = mean(vote == "yes") ) %>% filter(votes > 5) %>% # only use records where there are more than 5 votes ggplot(mapping = aes(x = year, y = percent_yes, color = country)) + geom_smooth(method = "loess", se = FALSE) + facet_wrap(~ issue) + labs( title = "Percentage of Yes votes in the UN General Assembly", subtitle = "1946 to 2015", y = "% Yes", x = "Year", color = "Country" )
20. DESIGN PRINCIPLES Start with cake un_votes %>% filter(country %in% c("UK & NI", “US”, "Turkey")) %>% inner_join(un_roll_calls, by = "rcid") %>% inner_join(un_roll_call_issues, by = "rcid") %>% group_by(country, year = year(date), issue) %>% summarize( votes = n(), percent_yes = mean(vote == "yes") ) %>% filter(votes > 5) %>% # only use records where there are more than 5 votes ggplot(mapping = aes(x = year, y = percent_yes, color = country)) + geom_smooth(method = "loess", se = FALSE) + facet_wrap(~ issue) + labs( title = "Percentage of Yes votes in the UN General Assembly", subtitle = "1946 to 2015", y = "% Yes", x = "Year", color = "Country" )
21. DESIGN PRINCIPLES Start with cake un_votes %>% filter(country %in% c("UK & NI", “US”, "Turkey")) %>% inner_join(un_roll_calls, by = "rcid") %>% inner_join(un_roll_call_issues, by = "rcid") %>% group_by(country, year = year(date), issue) %>% summarize( votes = n(), percent_yes = mean(vote == "yes") ) %>% filter(votes > 5) %>% # only use records where there are more than 5 votes ggplot(mapping = aes(x = year, y = percent_yes, color = country)) + geom_smooth(method = "loess", se = FALSE) + facet_wrap(~ issue) + labs( title = "Percentage of Yes votes in the UN General Assembly", subtitle = "1946 to 2015", y = "% Yes", x = "Year", color = "Country" )
22. DESIGN PRINCIPLES Start with cake un_votes %>% filter(country %in% c("UK & NI", “US”, “France")) %>% inner_join(un_roll_calls, by = "rcid") %>% inner_join(un_roll_call_issues, by = "rcid") %>% group_by(country, year = year(date), issue) %>% summarize( votes = n(), percent_yes = mean(vote == "yes") ) %>% filter(votes > 5) %>% # only use records where there are more than 5 votes ggplot(mapping = aes(x = year, y = percent_yes, color = country)) + geom_smooth(method = "loess", se = FALSE) + facet_wrap(~ issue) + labs( title = "Percentage of Yes votes in the UN General Assembly", subtitle = "1946 to 2015", y = "% Yes", x = "Year", color = "Country" )
23. DESIGN PRINCIPLES Start with cake
24. DESIGN PRINCIPLES Start with cake
25. DESIGN PRINCIPLES Which motivates you more to learn how to cook: perfectly chopped onions or ratatouille?
26. DESIGN PRINCIPLES Which motivates you more to learn how to cook: perfectly chopped onions or ratatouille?
27. DESIGN PRINCIPLES Skip baby steps Re-insert
28. DESIGN PRINCIPLES Which is more likely to appeal to someone who has never tried broccoli?
29. DESIGN PRINCIPLES Which is more likely to appeal to someone who has never tried broccoli?
30. DESIGN PRINCIPLES Hide the veggies ‣ Today we go from this to that ‣ And do so in a way that is easy to replicate for another state →
31. DESIGN PRINCIPLES Lesson: Web scraping essentials for turning a structured table into a data frame in R. Hide the veggies
32. DESIGN PRINCIPLES Lesson: Web scraping essentials for turning a structured table into a data frame in R. Ex 1: Scrape the table off the web and save as a data frame. Hide the veggies
33. DESIGN PRINCIPLES Lesson: Web scraping essentials for turning a structured table into a data frame in R. Ex 1: Scrape the table off the web and save as a data frame. Ex 2: What other information do we need represented as variables to make this figure? Hide the veggies
34. DESIGN PRINCIPLES Lesson: Web scraping essentials for turning a structured table into a data frame in R. Ex 1: Scrape the table off the web and save as a data frame. Ex 2: What other information do we need represented as variables to make this figure? Lesson: “Just enough” regex Hide the veggies
35. DESIGN PRINCIPLES If you are already taking a baking class, which will be easier to venture on to?
36. DESIGN PRINCIPLES If you are already taking a baking class, which will be easier to venture on to?
37. DESIGN PRINCIPLES Leverage the ecosystem student + instructor instructor
38. bit.ly/dsbox-adsa USAGE in full to jumpstart / overhaul your teaching in bits & pieces to supplement your teaching
39. bit.ly/dsbox-adsa LICENSE
40. bit.ly/dsbox-adsa COMMUNITY on
41. bit.ly/dsbox-adsa FUTURE scalability tooling peer review assessment curriculum reach & impact engagement community collaboration growth
42. bit.ly/dsbox-adsa FUTURE bit.ly/fresh-ds
43. mine-cetinkaya-rundel cetinkaya.mine@gmail.com @minebocek MINE ÇETINKAYA-RUNDEL UNIVERSITY OF EDINBURGH + DUKE UNIVERSITY + RSTUDIO datasciencebox.org bit.ly/dsbox-adsa
44. datasciencebox.org I have been teaching with R for a while, but I want to update my teaching materials I’m new to teaching with R and need to build up my course materials This teaching slide deck I came across on Twitter is pretty cool, but I have no idea what type of course it belongs in + …