Skip to content

Lecture slides and notes for Applied Statistics and Data Science course

License

Notifications You must be signed in to change notification settings

jdstorey/asdslectures

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

51 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Lecture Slides and Materials

The lecture slides, PDF files of handout notes, and source code for Foundations of Applied Statistics and Data Science course.

Source code, html, and PDF files

These are all located in the docs/ directory.

Each week we will provide:

  • HTML slides laid out in a 2D grid by topic
  • A PDF file of the slides for easy printing
  • The source files in an R Markdown (.Rmd) file

Recommended way to use this repository

  • Clone this repository to your computer
  • Watch the repository
  • Update it weekly
  • The .html files can be viewed locally on your computer as long as you don't change the directory structure

To download any particular file:

  • Click on the file name
  • The contents of the file may be partially rendered in your web browser by GitHub
  • To download the file, right click the "Raw" box and choose "Download Linked File"
  • The file can then be found wherever your browser usually places downloaded files
  • Note that to view the .html files locally, you will need to download the entire lecture_slides directory

To view the slides in HTML format without cloning the repository:

  • A direct link to the HTML slides for all weeks can be found on the course web page, Lectures
  • Press esc to see the 2D layout of the slides
    • The topics are along the top
    • The slides for each topic are below the main topic slide
  • Click on any slide to leave the slide deck 2D overview
  • To navigate the slides:
    • The left/right arrows move between topics
    • The up/down arrows move along slides within a topic
    • You can press the space bar to move linearly along the slides and avoid messing with the 2D layout
    • Pressing Shift-Space moves backwards in a linear fashion through the slides
  • You can press the F key to enter full screen mode but this may not work well on all browsers

About

Lecture slides and notes for Applied Statistics and Data Science course

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published