STATS 208 - Data Analysis for Commerce

Course Overview

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Faculty

Science

Department

Statistics

Points:

15

Available Semesters:

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Course Components

Labs

Tutorials

Lectures

Exam

TBLs

Workshops

Description: A practical course using the popular R language in the statistical analysis of data and the interpretation and communication of statistical findings. Includes exploratory data analysis, analysis of linear models including multiple regression and analysis of variance, generalised linear models including logistic regression and analysis of counts, time series analysis.

Prerequisites / Restrictions

Prerequisite: 15 points from STATS 101-108, 191 Restriction: STATS 201, 207

Average Rating From 3 Reviews

H

Teaching Quality

7.7 / 10

H

Content Quality

7 / 10

M

Workload

6.7 / 10

M

Difficulty

5.7 / 10

100% - Would Recommend

0% - Would Not Recommend

Reviews

Course is easy if you're an Econ/Finance major, difficult if you're not. Workload is a bit higher than the average Commerce paper: 2 quizzes, 5 assignments, in-person test and exam

Semester Two - 2023