• 1. Syllabus
  • 2. Install Guides
    • 1. R and R Studio
    • 2. git
    • 3. Github
    • 4. DB rowser
    • 5. OpenRefine
    • 6. R Packages
    • 7. [WIN ONLY] Windows Subsystem for Linux
  • 3. Worksheets
    • 9/14. R/R studio
    • 9/19. git
    • 9/21. Exploratory data analyses
    • 9/26. Tidy Data
    • 9/28. Aggregation and Merging
    • 10/3. Advanced Plotting
    • 10/5. Dynamic Plotting
    • 10/12. Data Science Ethics
    • 10/17. Functions
    • 10/19. Debugging & Conditions
    • 10/24. Iteration
    • 10/26. List and Apply
    • 10/31. Bash
    • 11/2. Advanced git
    • 11/7. Data Cleaning
    • 11/14. Web Scraping
    • 11/16. APIs
    • 12/2. Text as Data
    • 12/2. Networks as Data
    • 12/5. Geospatial Data
  • 4. Labs
  • 5. Projects
    • Project 1. Smith College Museum of Art
    • Project 2. Open Payments
    • Project 3. Finals
  • 6. Slides

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Intro to Data Science > Slides

Slides

  • 01_1_intro.html (12 MB)
  • 01_2_what_is_data.html (21 MB)
  • 02_2_intro_r.html (8 MB)
  • 03_1_git.html (4 MB)
  • 03_2_eda.html (3 MB)
  • 04_02_agg_merge.html (6 MB)
  • 04_1_tidy.html (5 MB)
  • 05_1_adv_plot.html (23 MB)
  • 05_2_dyn_plot.html (26 MB)
  • 06_1_ethics.html (5 MB)
  • 06_2_project_1.html (4 MB)
  • 07_1_functions.html (3 MB)
  • 07_2_conditions_debugging.html (6 MB)
  • 08_1_iteration.html (3 MB)
  • 08_2_list_apply.html (5 MB)
  • 09_1_bash.html (6 MB)
  • 09_2_adv_git.html (3 MB)
  • 10_1_cleaning.html (4 MB)
  • 11_1_web_scrape.html (6 MB)
  • 11_2_apis.html (5 MB)
  • 13_1_finals.html (5 MB)
  • 13_2_text.html (9 MB)
  • 13_3_networks.html (9 MB)
  • 14_1_geospatial.html (4 MB)