ETC1010 Introduction to data analysis
Faculty of Business and Economics
ETC1010 Introduction to data analysis is a level 1, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2020 in Semester 1 and Semester 2 at Clayton. It needs ETB1100, ETW1100, ETW1000, ETF1100, STA1010, FIT1006, ETC1000 or SCI1020 and unlocks 3 units.
- Credit points
- 6
- Offered in 2020
- Semester 1, Semester 2
- Clayton
- Assessment
- Exam 50%
- and 2 other tasks
- Workload
- 144 hours
- per semester
This is the 2020 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ETC1010
Prerequisites
Pass these before you enrol.
- ETB1100Business statisticsNo reviews yet
- ETW1100Introduction to business analyticsNo reviews yet
- ETW1000Business and economic statisticsNo reviews yet
- ETF1100Business statisticsNo reviews yet
- STA1010Statistical methods for scienceNo reviews yet
- FIT1006Business information analysisNo reviews yet
- ETC1000Business and economic statisticsNo reviews yet
- SCI1020Introduction to statistical reasoningRated 5.0 out of 5 from 1 review
Prohibitions
You can't enrol if you have passed any of these.
After ETC1010
3 units list ETC1010 as a prerequisite or corequisite.
Equivalent units
The same content under another code. Only one of them counts.
Overview
Introduction to principles and techniques for modelling actuarial, business and economic data. Concepts and practice in taking "data from the wild", reading different formats, tidying, and wrangling it into shape for analysis. Building models and making useful visualisations to achieve effective data-driven decision-making. Learn how to find data to solve problems. Build oral and written communication skills. Hands-on learning, with some team work projects.
Offerings in 2020
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
| Second semester | Clayton | On campus |
Assessment
- Within semester assessment50%
- ExaminationThreshold hurdle50%
- Within semester assessment100%
Learning outcomes
When you finish this unit, you should be able to:
- 1
learn to read different data formats, learn about tidy data and wrangling techniques
- 2
apply effective visualisation and modelling to understand relationships between variables, and make decisions with data
- 3
develop communication skills using reproducible reporting.
Workload and teaching
- Workshops48 hours
- Teaching approachActive learning
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
Learning resources
Technology resources
R ( latest release freely available from https://cran.ms.unimelb.edu.au, or another CRAN mirror) and contributed packages as needed.
Where it fits
ETC1010 is part of 3 areas of study in the 2020 handbook.
Contacts
- Chief Examiners
- Professor Dianne Cook
- Dr Patricia Menendez Galvan
Common questions
What are the prerequisites for ETC1010?
You need ETB1100, ETW1100, ETW1000, ETF1100, STA1010, FIT1006, ETC1000 or SCI1020 before you enrol.
What can I take after ETC1010?
ETC1010 is a prerequisite or corequisite for 3 units, including ETF3231, ETW2420 and FIT3152.
When is ETC1010 offered?
In 2020, ETC1010 runs in Semester 1 and Semester 2 at Clayton.
How much work is ETC1010?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETC1010 have an exam?
Yes. The exam is worth 50% of the final mark, alongside 2 other tasks.
Which majors and minors include ETC1010?
ETC1010 is part of Business analytics and Econometrics.