Spring 2023 - STAT 240 D100
Introduction to Data Science (3)
Class Number: 5823
Delivery Method: In Person
Course Times + Location:
Mo 12:30 PM – 2:20 PM
WMC 3260, Burnaby
1 778 782-3376
Prerequisites:One of STAT 201, STAT 203, STAT 205, STAT 270, BUS 232, or ECON 233, 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
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.
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 email@example.com.
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ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
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