Growing your inner data scientist

Transcript

1. growing your inner data scientist:
   
   
   tips to success in data science,
   
   
   from questions to results
   Mine Çetinkaya-Rundel
   
   
   Duke University + RStudio
   🔗 bit.ly/grow-ds-21 mine-cetinkaya-rundel
   cetinkaya.mine@gmail.com
   @minebocek
   

   View Slide

2. professor of statistics
   data scientist
   book author
   minebocek
   mine-cetinkaya-rundel
   mine
   citizenstatistician
   

   View Slide

3. what is
   
   
   data science?
   

   View Slide

4. datascience.berkeley.edu/about/what-is-data-science
   
   
   r4ds.had.co.nz/explore-intro.html
   
   
   oreilly.com/library/view/doing-data-science/9781449363871/ch01.html
   

   View Slide

5. data science
   
   
   is vague
   
   
   and evolving…
   

   View Slide

6. 1 always
   
   
   be
   
   
   curious
   

   View Slide

7. keep informed books
   articles
   blogs
   

   View Slide

8. View Slide

9. keep current
   

   View Slide

10. View Slide

11. keep engaged
    conferences
    workshops
    meetups
    webinars
    

    View Slide

12. View Slide

13. 2improve
    
    
    your
    
    
    workflow
    

    View Slide

14. rstats.wtf
    

    View Slide

15. r4ds.had.co.nz
    

    View Slide

16. 3share
    
    
    your
    
    
    output
    

    View Slide

17. David Robinson
    
    
    @drob
    
    
    @rstudio::conf 2019, The Unreasonable E
    ff
    ectiveness of Public Work
    Idea
    Published
    paper
    Preliminary
    results
    Draft
    manuscript
    Completed
    manuscript
    How I used to think of my goals:
    More valuable
    Less valuable
    Anything still
    on your computer
    Anything out
    in the world
    (Data, code, results,
    draft, finished paper)
    (Paper, preprint, product,
    blog post, open source,
    tweet)
    How I should have been thinking of them:
    More valuable
    Less valuable
    Idea
    Published
    paper
    Preliminary
    results
    Draft
    manuscript
    Completed
    manuscript
    How I used to think of my goals:
    More valuable
    Less valuable
    Anything still
    on your computer
    Anything out
    in the world
    (Data, code, results,
    draft, finished paper)
    (Paper, preprint, product,
    blog post, open source,
    tweet)
    How I should have been thinking of them:
    More valuable
    Less valuable
    

    View Slide

18. share the things you create
    

    View Slide

19. share the things you create
    big
    

    View Slide

20. datasciencebox.org
    datasciencebox.org
    

    View Slide

21. View Slide

22. share the things you create
    little
    

    View Slide

23. View Slide

24. share the things you learn
    

    View Slide

25. Mara Averick
    
    
    @dataandme
    
    
    EARL 2017, leaRning out loud
    SOMETIMES I GO ON TWITTER,
    
    
    AND I TEND TO LEARN OUT LOUD
    

    View Slide

26. View Slide

27. View Slide

28. # March 2019
    
    
    library(tidyverse)
    
    
    ggplot(mtcars, aes(x = wt, y = mpg)) %>%
    
    
    geom_point()
    
    
    #> Error: `mapping` must be created by `aes()`
    
    
    #> Did you use %>% instead of +?
    

    View Slide

29. share your questions
    

    View Slide

30. Thiago Maciera
    
    
    “The Art of Problem Solving.” In Open Advice: FOSS: What We Wish We Had Known
    When We Started, edited by Lydia Pintscher, 55–61.
    THE MOST USELESS PROBLEM
    STATEMENT THAT ONE CAN FACE IS
    
    
    “IT DOESN’T WORK”,
    
    
    YET WE SEEM TO GET IT
    
    
    FAR TOO OFTEN.
    

    View Slide

31. TEN SIMPLE RULES FOR GETTING HELP
    FROM ONLINE SCIENTIFIC COMMUNITIES
    1. Don’t be afraid to ask a question
    
    
    2. State the question clearly
    
    
    3. Learn established customs before posting
    
    
    4. Don’t ask what has already been answered
    
    
    5. Always use a good title
    
    
    6. Do your homework before posting
    
    
    7. Proofread your post
    
    
    8. Be courteous to other forum members
    
    
    9. Remember that the archive of your question
    can be helpful to others
    
    
    10. Give back to the community
    Dall’Olio, Giovanni M., Jacopo Marino, Michael Schubert, Kevin L. Keys, Melanie I. Stefan, Colin S. Gillespie, Pierre Poulain, et al. 2011. “Ten Simple Rules for Getting Help from Online Scientific Communities.” PLoS Computational
    Biology 7 (9): 10–12. doi:10.1371/journal.pcbi.1002202.
    

    View Slide

32. suppose…
    # Goal: "1 a" "2 b" "3 c" "4 d" "5 e"
    

    View Slide

33. I’m trying to create the following vector in R:
    
    
    "1 a" "2 b" "3 c" "4 d" "5 e”
    
    
    So I define X to be 1
    :
    5 and
    
    
    Y to be the first 5 letters of the alphabet,
    
    
    but when I add them I get the following error.
    
    
    Error in x + y : non
    -
    numeric argument to
    binary operator
    
    
    🤷
    Q
    

    View Slide

34. I’m trying to create the following vector in R:
    
    
    "1 a" "2 b" "3 c" "4 d" "5 e"
    
    
    Below is a screenshot of what I tried.
    
    
    Why is it not working?
    🤷
    Q
    

    View Slide

35. library(reprex)
    Prepare reproducible examples for posting to GitHub
    issues, StackOverflow, or Slack snippets.
    writing good questions
    

    View Slide

36. I’m trying to create the following vector in R:
    
    
    "1 a" "2 b" "3 c" "4 d" "5 e”
    
    
    Below is what I tried.
    
    
    What does this error mean, and how can I fix it?
    🤷
    Q x
    < -
    1
    :
    5
    
    
    y
    < -
    letters[1
    :
    5]
    
    
    x + y
    
    
    #> Error in x + y: non
    -
    numeric argument to binary operator
    

    View Slide

37. 4contribute
    
    
    to
    
    
    community
    

    View Slide

38. find open source projects
    you enjoy,
    
    
    and start contributing
    

    View Slide

39. contribute to books
    

    View Slide

40. View Slide

41. View Slide

42. contribute to packages
    

    View Slide

43. View Slide

44. get the pulse of a project
    read the code
    contributing to oss
    watch the repo
    discuss your ideas
    make a pull request
    review CoC + contributing guide
    

    View Slide

45. 5collaborate
    
    
    with
    
    
    others
    

    View Slide

46. collaborate on process
    

    View Slide

47. View Slide

48. collaborate in class
    

    View Slide

49. Lorem ipsum dolor sit amet, consectetur
    
    
    adipiscing elit. Proin vulputate feugiat lacus
    
    
    eu lobortis. Mauris dictum ultrices tortor sit
    
    
    amet tincidunt. Cras magna metus, volutpat
    
    
    eu tempus nec, mattis vel nibh. Vivamus eros
    
    
    tellus, lobortis id molestie quis, feugiat sed
    
    
    lorem. Proin quis pellentesque justo, vitae elementum eros. Proin
    orci ex, dignissim sed urna in, congue fringilla nisi. Aliquam id urna
    orci. Vestibulum consequat, enim et sodales finibus, nunc arcu
    condimentum odio, rhoncus venenatis ligula sem at lectus. Nullam
    nec porttitor nisl.
    
    
    Fusce hendrerit, mauris sed iaculis gravida,
    
    
    odio diam lacinia diam, bibendum dapibus
    
    
    metus mi imperdiet ex. Praesent ac urna
    
    
    scelerisque, condimentum est vitae,
    
    
    pellentesque erat. Integer sed hendrerit ex.
    Sed facilisis sollicitudin venenatis. Nulla fringilla lorem at metus
    maximus cursus. Morbi facilisis turpis at purus volutpat bibendum
    quis quis eros. Ut id odio interdum, luctus mauris nec, pharetra
    quam. Nullam velit risus, consectetur ac faucibus eu, lacinia ut
    neque. Pellentesque ut aliquet libero. Ut ac neque eget nunc
    hendrerit commodo. Maecenas vel ultrices augue.
    blog post
    
    
    portfolio entry
    
    
    competition submission
    
    
    …
    

    View Slide

50. collaborate outside class
    

    View Slide

51. John M. Chambers Statistical So
    ft
    ware Award
    
    
    🔗 stat-computing.org/awards/jmc
    ASA StatComp Student Paper Competition
    
    
    🔗 stat-computing.org/awards/student
    Kaggle: Prediction competition
    
    
    🔗 kaggle.com/competitions
    

    View Slide

52. 6broadcast
    
    
    your
    
    
    work
    

    View Slide

53. make data visualizations
    

    View Slide

54. 🗓 Every Tuesday
    
    
    🔗 github.com/rfordatascience/tidytuesday
    
    
    🐦 #TidyTuesday
    

    View Slide

55. speak at events
    

    View Slide

56. View Slide

57. write blog posts
    

    View Slide

58. bookdown.org/yihui/blogdown
    apreshill.com/blog/2020-12-new-year-new-blogdown
    

    View Slide

59. keeping a blog alive
    find co-authors
    keep it regular
    write themed posts
    review events
    

    View Slide

60. 1
    
    
    2
    
    
    3
    
    
    4
    
    
    5
    
    
    6
    always be curious
    
    
    improve your workflow
    
    
    share your output
    
    
    contribute to community
    
    
    collaborate with others
    
    
    broadcast your work
    

    View Slide

61. View Slide

62. mine-cetinkaya-rundel
    cetinkaya.mine@gmail.com
    @minebocek
    growing your
    inner data
    scientist
    🔗 bit.ly/grow-ds-21
    Mine Çetinkaya-Rundel
    
    
    Duke University + RStudio
    

    View Slide