Welcome to Stats 295 - Advanced R
The course will introduce writing reproducible reports using R Markdown and version control. Students will write code to work with data that have different structures, format, and size and will learn practices to optimize code for efficiency. Students will develop data applications using Shiny and personal websites where they maintain their data science portfolio.
Prerequisite: Prior coursework with R.
The course will introduce writing reproducible reports using R Markdown and version control. Students will write code to work with data that have different structures, format, and size and will learn practices to optimize code for efficiency. Students will develop data applications using Shiny and personal websites where they maintain their data science portfolio.
Prerequisite: Prior coursework with R.
Course Goals
By the end of this course you will be able to:
By the end of this course you will be able to:
- write human- and machine-readable code using R.
- adopt reproducible workflow practices.
- develop an maintain R packages, Shiny apps, and websites;
Typical Week Workflow
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Monday 9 am
Weekly course content videos and assignments are released on this website under Schedule.
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Monday 9:30 - 10:50 am
Weekly meeting to present and discuss homework assignments from the previous week. Schedule.
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Wednesday 8 am
Prof. Dogucu holds office hours.
Important Dates
Paper due October 30th at 11:59 pm
R package due November 30th at 09:30 am
Shiny app due Dec 14th at 09:30 am
Website due Dec 16th at 10:00 am