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STATS 201 - Data Analysis

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 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 207, 208

Average Rating From 5 Reviews

M

Teaching Quality

6.8 / 10

H

Content Quality

8.2 / 10

M

Workload

5.2 / 10

M

Difficulty

5 / 10

80% - Would Recommend

20% - Would Not Recommend

Reviews

Easy course, but lectures in the first half were not live so had to watch recordings.

Summer School - 2023

really interesting course, however takes time to understand whats going on

Semester One - 2023

Not a very hard course but I found the lectures almost useless and just spent most of the time figuring stuff out on my own. Learning R is pretty cool but I've never used it ever again.

Semester One - 2023

It could be structured better. I can totally see why this course would be intimidating for someone who has never done coding before. Even though the code is practically given, you still to be able to write super well to do good in this course and I wish we got more support through, perhaps this course could benefit from having weekly quizzes. Also the marking for the assignment is pretty harsh and it’s the exact opposite for the test.

Semester Two - 2023