Spring 2020 - STAT 240 D100
Introduction to Data Science (3)
Class Number: 3981
Delivery Method: In Person
Course Times + Location:
Mo 12:30 PM – 2:20 PM
SWH 10041, Burnaby
Exam Times + Location:
Apr 15, 2020
6:31 PM – 6:32 PM
TAKE HOME-EXAM, Burnaby
Prerequisites:One of STAT 201, STAT 203, STAT 205, STAT 270, or BUEC 232, and one of CMPT 102, CMPT 120, CMPT 125, CMPT 128, CMPT 129, CMPT 130, 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%
- Projects 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
Department Undergraduate Notes:
Students with Disabilites:
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