ADS1001 Data challenges 1 (Monash University): rated 3.6/5 overall across 2 reviews collected on Monash Wall.
ADS1001 is a Monash University course taught by the Faculty of Science in Data Science. This page brings together its handbook details and what Monash students say about it.
Review data updated 2026-10-24.
Chinese title: 数据挑战1
Credit points: 6
Subject area: Data Science
Faculty: Faculty of Science
Level: Undergraduate Level 1
Handbook year: 2026
ADS1001 has 2 scored reviews: overall 3.6/5 (all out of 5; higher difficulty means harder).
Sources: 2 Reddit comments that an AI model judged to be reviewing this course (average would-recommend 3.6/5).
On Reddit: "I assume it’s done the same in Malaysia as Australia. You don’t really need to do anything to prepare, everything is taught during the class. Although knowing a bit of python could come in handy. You will likely only use python, you’ll use R potentially in later units. There are…"
On Reddit: "It depends on the unit, if it’s something you don’t mind then just fake it till you make it, but if it’s something that will be impactful to later units you should probably try to catch up by watching lectures/online videos. I’m assuming it’s ADS1001 that has you stressing out? …"
The course panel on Monash Wall shows every review and discussion in full.
Q: Is ADS1001 worth taking?
A: Averaged over 2 reviews: overall 3.6/5. Only a few reviews so far, so treat this as a rough guide.
Q: Which faculty teaches ADS1001, and when is it offered?
A: ADS1001 is taught by the Faculty of Science. Check the official handbook for the current year.
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