Fall 2022 - STAT 261 D100
Laboratory for Introductory R for Data Science (1)
Class Number: 4700
Delivery Method: In Person
A hands-on application of the R programming language for data science. Using the R concepts covered in STAT 260, students will explore (visualize, transform, and summarize) and wrangle (read and tidy) data. No prior computer programming experience required. Students who have taken STAT 341 or STAT 360 first may not then take this course for further credit.
STAT 261 Labs will start on Tuesday Sept 13 and will run until Thursday Dec 1. There will not be any Labs on Wednesday Sept 7, Thursday Sept 8, nor Tuesday Dec 6.
|Week Number||STAT 260||STAT 261|
|1||Getting started: installing R, RStudio, the tidyverse and other packages, RStudio projects, RMarkdown files and basics||In-class exercises for setting up R|
|2 and 3||Exploring Data: visualisation||Using ggplot to create plots of different types of data|
|4||Exploring Data: transformation and summary statistics||Plotting transformed data (e.g., bar plots, smoothed functions)|
|5||Data Wrangling: data frames and tibbles, importing data||Reading in data in different formats|
|6||Data Wrangling: tidy data||Cleaning a messy data set|
|7||Data Wrangling: relational data||Linking multiple data sets|
|8||Data Wrangling: strings||Handling text data|
|9||Data Wrangling: factors, dates and times||Handling factors and date and time data|
|10||Programming: functions||Writing functions to minimize code length, prevent bugs, and improve readability|
|11||Programming: vectors||Types of vectors and incorporating vectors in functions|
|12||Programming: vectors||For loops|
- Lab Quizzes 100%
Above grading is subject to change.
R for Data Science, by Garrett Grolemund and Hadley Wickham, available online for free at https://r4ds.had.co.nz/
REQUIRED READING NOTES:
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Department Undergraduate Notes:
Students with Disabilities:
Students requiring accommodations as a result of disability must contact the Centre for Accessible Learning 778-782-3112 or firstname.lastname@example.org.
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