OL Data Analytics I

Undergraduate | 2026

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Mode
Mode
Your study will be 100% online
100% online
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Area/Catalogue
STAT 1007
Course ID icon
Course ID
208547
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Campus
Online
Level of study
Level of study
Undergraduate
Unit value icon
Unit value
6
Course owner
Course owner
School of Economics
Course coordinator
Course coordinator
Florian Ploeckl
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Course level
1
Work Integrated Learning course
Work Integrated Learning course
No
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
No
University-wide elective icon
University-wide elective course
No
Single course enrollment
Single course enrolment
No

Course overview

In today's world, good decision making relies on data and data analysis. This course helps students develop the understanding that they will need to make informed decisions using data and to communicate the results effectively. The course is an introduction to the essential concepts, tools and methods of statistics for students in business, economics and similar disciplines, though these tools are also useful in many other real-world settings. The focus is on concepts, reasoning, interpretation, and thinking that build upon computation, formulae and theory. Students will be required to clearly and effectively communicate and visualize their ideas, analyses, and results. The course covers two main branches of statistical data analysis: descriptive statistics and inferential statistics. Descriptive statistics includes data collection, exploration, and interpretation through numerical and graphical techniques such as charts and visual representations. Inferential statistics includes the selection and application of correct and suitable statistical techniques in order to make estimates or test claims about data based on a sample. By the end of this course, students should understand and know how to use statistics in real-world settings. Students will also develop some understanding of the limitations and misuse of statistical inference as well as the ethics of data analysis and statistics.

Course learning outcomes

  • Apply correctly a variety of statistical techniques, both descriptive and inferential.
  • Interpret, in plain language, the application and outcomes of statistical techniques.
  • Interpret computer output and use it to solve problems.
  • Recognize inappropriate use or interpretation of statistics in other courses, in the media and in life in general and comment critically on the appropriateness of this use of statistics.

Availability

Census date Icon
Census date
Fri 11/09/2026
Enrol by date
Enrol by date
Fri 21/08/2026
Last day to W
Last day to W
Mon 28/09/2026
Last day to WF
Last day to WF
Mon 12/10/2026

Class details

Online

Class number
Class number 64056
Section
Section 01OL
Size
Size 500
Available
Available 500
Dates Days Time Campus Location Instructor
- Online ,

Census date Icon
Census date
Fri 23/01/2026
Enrol by date
Enrol by date
Fri 02/01/2026
Last day to W
Last day to W
Mon 09/02/2026
Last day to WF
Last day to WF
Mon 23/02/2026

Class details

Online

Class number
Class number 12048
Section
Section 01OL
Size
Size 500
Available
Available 500
Dates Days Time Campus Location Instructor
- Online ,

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

  • must not have completed ECON1008OUA Data Analytics I at the University of Adelaide

Fee calculator

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Study Abroad student tuition fees are available here.

Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.

The Student Contribution amount displayed below is for students commencing a new program from 2021 onwards. If you are continuing in a program you commenced prior to 1 January 2021, or are commencing an Honours degree relating to an undergraduate degree you commenced prior to 1 January 2021, you may be charged a different Student Contribution amount from the amount displayed below. Please check the Student Contribution bands for continuing students here. If you are an international student, or a domestic student studying in a full fee paying place, and are continuing study that you commenced in 2025 or earlier, your fees will be available here before enrolments open for 2026.

Degree list
The following degrees include this course