Spring 2022 - STAT 240 D100
Introduction to Data Science (3)
Class Number: 6708
Delivery Method: In Person
Course Times + Location:
Mo 12:30 PM – 2:20 PM
AQ 3182, Burnaby
Exam Times + Location:
Apr 26, 2022
3:30 PM – 6:30 PM
EDB 7618, Burnaby
Prerequisites:One of STAT 201, STAT 203, STAT 205, STAT 270, or BUS 232, and one of CMPT 102, CMPT 120, CMPT 125, CMPT 128, CMPT 129, CMPT 130, all with a minimum grade of C- or permission of the instructor. STAT 260 is also recommended.
Introduction to modern tools and methods for data acquisition, management, and visualization capable of scaling to Big Data. Quantitative.
This course will use the statistical software R to acquire and clean data for answering data science questions. This class will focus on using SQL to query big data sets, handling text data from a webpage api, and scraping data from webpages.
- Weekly Lab Assignments 20%
- Midterm 40%
- Final Exam 40%
Above grading is subject to change.
Automated Data Collection with R: A Practical Guide to Web Scraping and Text Mining. Authors: Simon Mumzert, Christian Rubba, Peter Meissner, Dominic Nyhuis. Publisher: Wiley
Available online for free through the SFU Library
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).
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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.