ETW2001 Foundations of data analysis
Faculty of Business and Economics
ETW2001 Foundations of data analysis is a level 2, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2026 in Semester 1 and Semester 2 at Malaysia. It has no prerequisites and unlocks 7 units, leading on to 12 units in all.
- Credit points
- 6
- Offered in 2026
- Semester 1, Semester 2
- Malaysia
- Assessment
- No exam
- 1 task
- Workload
- 144 hours
- per semester
This is the 2026 handbook entry. See the 2027 entry.
Reviews
No reviews yetNo reviews yet. Be the first to review ETW2001.
Requisites
Before ETW2001
Prohibitions
You can't enrol if you have passed any of these.
After ETW2001
7 units list ETW2001 as a prerequisite or corequisite.
- ETF3231Business forecastingNo reviews yet
- ETF5231Business forecastingNo reviews yet
- ETF5932Predictive analytics and machine learningNo reviews yet
- ETW2500Unsupervised learning for businessNo reviews yet
- ETX3250Predictive analytics and machine learningNo reviews yet
- ETX3500High dimensional data analysisNo reviews yet
- ETX5500High dimensional data analysisNo reviews yet
Overview
This unit will be a bridging unit for students who intend to major in either Business Analytics or Econometrics. This unit is also a suitable elective for those of you who want to expand your basic knowledge of analytics.
In this unit, you can expect to be further grounded in theory and practice that are invaluable for analysis. The modules covered in this unit include:
(i) Introduction to basic programming for data manipulation and visualisation
(ii) Quantitative analysis using multiple linear regression
(iii) Modelling based on case studies using real data.
Offerings in 2026
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On campus |
| Second semester | Malaysia | On campus |
Assessment
- Project100%
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
select and describe data wrangling techniques to improve data quality in data business analysis projects
- 2
compare and differentiate various visualisation techniques to identify the most effective method for data exploration in specific business scenarios
- 3
analyse and Evaluate the results of exploratory data analysis and visualization to identify patterns and relationships in real-world datasets
- 4
evaluate and compare various problem-solving approaches specifically tailored for solving data-oriented challenges, focusing on their efficacy and applicability in business industry contexts.
Workload and teaching
- Tutorials24 hours
- Teaching approachProblem-based learning
- Teaching approachActive learning
- Teaching approachResearch activities
- Teaching approachCase-based teaching
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 includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
This unit allows you to develop your research skills by engaging in structured inquiry using a systematic approach and discipline-specific methodologies.
This unit includes case-based teaching, where you apply your knowledge and engage in analytical and reflective thinking to solve complex contextual scenarios. Activities are often designed so that there is not one clear answer, but you need to work together to examine, analyse and make decisions to resolve the situation.
Where it fits
ETW2001 is part of 3 areas of study in the 2026 handbook.
Contacts
- Chief Examiners
- Dr Mogana Darshini Ganggayah
Common questions
What are the prerequisites for ETW2001?
ETW2001 has no prerequisites.
What can I take after ETW2001?
ETW2001 is a prerequisite or corequisite for 7 units, including ETF3231, ETF5231, ETF5932, ETW2500, ETX3250 and ETX3500. Those lead on to 12 units in all.
When is ETW2001 offered?
In 2026, ETW2001 runs in Semester 1 and Semester 2 at Malaysia.
How much work is ETW2001?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETW2001 have an exam?
No. ETW2001 has 1 assessment task and no exam.
Which majors and minors include ETW2001?
ETW2001 is part of Business analytics and FinTech.