Spring 2022 - STAT 260 D100
Introductory R for Data Science (2)
Class Number: 6818
Delivery Method: In Person
Course Times + Location:
Tu 12:30 PM – 2:20 PM
BLU 9660, Burnaby
Exam Times + Location:
Apr 14, 2022
3:30 PM – 6:30 PM
AQ 3181, Burnaby
Prerequisites:One of STAT 201, STAT 203, STAT 205, STAT 270, BUS 232, or POL 201, with a grade of at least C- or permission of the instructor. Corequisite: STAT 261.
An introduction to the R programming language for data science. Exploring data: visualization, transformation and summaries. Data wrangling: reading, tidying, and data types. 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.
|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|
- Quizzes 50%
- Final Exam 50%
R for Data Science, by Garrett Grolemund and Hadley Wickham
Book is available online for free https://r4ds.had.co.nz/
Department Undergraduate Notes:
Students looking for a tutor should visit https://www.sfu.ca/stat-actsci/all-students/other-resources/tutoring.html. We accept no responsibility for the consequences of any actions taken related to tutors.
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TEACHING AT SFU IN SPRING 2022
Teaching at SFU in spring 2022 will involve primarily in-person instruction, with safety plans in place. Some courses will still be offered through remote methods, and if so, this will be clearly identified in the schedule of classes. You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).
Enrolling in a course acknowledges that you are able to attend in whatever format is required. You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes.
Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (email@example.com or 778-782-3112) as early as possible in order to prepare for the spring 2022 term.