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 2026 in Semester 1 and Semester 2 at Clayton. It needs ETB1100, ETC1000, ETF1100, ETW1001, FIT1006, SCI1020, STA1010 or ETX1100 and unlocks 8 units, leading on to 48 units in all.
- Credit points
- 6
- Offered in 2026
- Semester 1, Semester 2
- Clayton
- Assessment
- Exam 40%
- and 4 other tasks
- Workload
- 144 hours
- per semester
This is the 2026 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ETC1010
Prerequisites
Pass these before you enrol.
- ETB1100Business statisticsNo reviews yet
- ETC1000Business and economic statisticsNo reviews yet
- ETF1100Business statisticsNo reviews yet
- ETW1001Introduction to statistical analysisNo reviews yet
- FIT1006Business information analysisNo reviews yet
- SCI1020Introduction to statistical reasoningNo reviews yet
- STA1010Statistical methods for scienceNo reviews yet
- ETX1100Business statisticsNo reviews yet
Prohibitions
You can't enrol if you have passed any of these.
After ETC1010
8 units list ETC1010 as a prerequisite or corequisite.
- ETC5521Diving deeply into data explorationNo reviews yet
- ETF3231Business forecastingNo reviews yet
- ETF5231Business forecastingNo reviews yet
- ETF5932Predictive analytics and machine learningNo reviews yet
- ETX3250Predictive analytics and machine learningNo reviews yet
- ETX3500High dimensional data analysisNo reviews yet
- ETX5500High dimensional data analysisNo 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
This unit introduces principles and techniques for exploring different types of data. You will learn concepts and practice in taking "data from the wild", reading different formats, tidying and wrangling it into shape for analysis, and creating useful visualisations to achieve effective data-driven decision-making. You will learn to use data to solve problems, and develop oral and written communication skills, using hands-on learning and live data analysis with code.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | Blended |
| Second semester | Clayton | Blended |
Assessment
- Artefact10%
- Quiz / Test10%
- Project30%
- Quiz / Test20%
- ExaminationThreshold hurdle40%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
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, descriptive analysis and modelling to understand relationships between variables, and make decisions with data
- 3
develop computing, communication, and reproducible reporting skills.
Workload and teaching
- Workshops12 hours
- Seminars24 hours
- Tutorials18 hours
- Assessments-
- 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. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
Where it fits
ETC1010 is part of 7 areas of study in the 2026 handbook.
- ACTURANL04Core unitsActuarial analyticsNo reviews yet
- BUSANLMJ01Core unitsBusiness analyticsNo reviews yet
- BUSANLYT09ClaytonBusiness analyticsNo reviews yet
- BUSANLEC01Core studiesBusiness analytics for economicsNo reviews yet
- ECONOMTR02Core unitsEconometricsNo reviews yet
- ECONOMTR05Core unitsEconometricsNo reviews yet
- MTHFNDEC01Elective unitsMathematical foundations of econometricsNo reviews yet
Contacts
- Chief Examiners
- Dr Patrick Wong
- Dr Erik Sverdrup
Common questions
What are the prerequisites for ETC1010?
You need ETB1100, ETC1000, ETF1100, ETW1001, FIT1006, SCI1020, STA1010 or ETX1100 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, ETF5231, ETF5932, ETX3250 and ETX3500. Those lead on to 48 units in all.
When is ETC1010 offered?
In 2026, 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 40% of the final mark, alongside 4 other tasks.
Which majors and minors include ETC1010?
ETC1010 is part of Actuarial analytics, Business analytics, Business analytics for economics, Econometrics and Mathematical foundations of econometrics.