Data Science Across Disciplines - Course Materials

 
Data Science Across Disciplines is a grant funded project through the Focal Point Initiative at the University of Illinois at Urbana-Champaign Graduate College. DSAD seeks to provide the opportunity for graduate students at Illinois to develop data analytic skills while learning about multidisciplinary uses of data and data science skills. This collection features the instruction materials created and used by the graduate students who lead the class.

Recent AdditionsRSS feed

  • Rando, Halie M. (2016)
    Lectures for teaching data science tools in Python to graduate students from various disciplines on campus.

    application/vnd.openxmlformats-officedocument.presentationml.presentation

    application/vnd.openxmlformats-officedocument.presentationml.presentationMicrosoft PowerPoint 2007 (668kB)Restricted to U of Illinois
  • Byrne, Diana M. (2016)
    Lectures for teaching data science tools in Matlab to graduate students from various disciplines on campus.

    application/vnd.openxmlformats-officedocument.presentationml.presentation

    application/vnd.openxmlformats-officedocument.presentationml.presentationMicrosoft PowerPoint 2007 (2MB)Restricted to U of Illinois
  • Byrne, Diana M.; Rando, Halie M. (2016)
    Lectures for teaching basic programming concepts for application to data science to graduate students from various disciplines on campus.

    application/vnd.openxmlformats-officedocument.presentationml.presentation

    application/vnd.openxmlformats-officedocument.presentationml.presentationMicrosoft PowerPoint 2007 (4MB)Restricted to U of Illinois
  • Byrne, Diana M.; Rando, Halie M. (2016)
    Lectures for teaching data science tools in Excel to graduate students from various disciplines on campus.

    application/vnd.openxmlformats-officedocument.presentationml.presentation

    application/vnd.openxmlformats-officedocument.presentationml.presentationMicrosoft PowerPoint 2007 (4MB)Restricted to U of Illinois

Collection Statistics