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 2023 in Semester 1 and Semester 2 at Clayton. It needs ETW1001, ETX1100, ETB1100, FIT1006, ETC1000, SCI1020, ETF1100 or STA1010 and unlocks 8 units, leading on to 12 units in all.
- Credit points
- 6
- Offered in 2023
- Semester 1, Semester 2
- Clayton
- Assessment
- Exam 50%
- and 1 other task
- Workload
- 144 hours
- per semester
This is the 2023 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ETC1010
Prohibitions
You can't enrol if you have passed any of these.
Prerequisites
Pass these before you enrol.
- ETW1001Introduction to statistical analysisNo reviews yet
- ETX1100Business statisticsNo reviews yet
- ETB1100Business statisticsNo 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
- ETF1100Business statisticsNo reviews yet
- STA1010Statistical methods for scienceNo reviews yet
After ETC1010
8 units list ETC1010 as a prerequisite or corequisite.
- ETC5521Exploratory data analysisNo reviews yet
- ETF3231Business forecastingNo reviews yet
- ETF3500High dimensional data analysisNo reviews yet
- ETF5231Business forecastingNo reviews yet
- ETF5500High dimensional data analysisNo reviews yet
- ETF5932Predictive analytics and machine learningNo reviews yet
- ETX3250Predictive analytics and machine learningNo reviews yet
- FIT3152Data analyticsNo reviews yet
Enrolment rules
If you are enrolled in course B2007 you cannot undertake this unit.
To be successful in this unit, background knowledge and application of maths is required at the equivalent of VCE Year 12 Higher level. You may have satisfied this by completing relevant prerequisite unit/s, or you have covered relevant topics in your final years of secondary study. You should self-assess your maths competency prior to enrolling in this unit.
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 2023
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
| Second semester | Clayton | On campus |
Assessment
- Within semester assessment50%
- ExaminationThreshold hurdle50%
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
- Lectures24 hours
- Tutorials24 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.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
Learning resources
Technology resources
There may be an additional cost associated with purchasing a physical and/or virtual calculator. Specific details will be provided in the Learning Management System by commencement of Orientation week.
Where it fits
ETC1010 is part of 5 areas of study in the 2023 handbook.
Contacts
- Chief Examiners
- Dr David Frazier
- Dr Joan Tan
Common questions
What are the prerequisites for ETC1010?
You need ETW1001, ETX1100, ETB1100, FIT1006, ETC1000, SCI1020, ETF1100 or STA1010 before you enrol. Enrolment rules also apply.
What can I take after ETC1010?
ETC1010 is a prerequisite or corequisite for 8 units, including ETC5521, ETF3231, ETF3500, ETF5231, ETF5500 and ETF5932. Those lead on to 12 units in all.
When is ETC1010 offered?
In 2023, 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 1 other task.
Which majors and minors include ETC1010?
ETC1010 is part of Business analytics, Econometrics and Mathematical foundations of econometrics.