University Course Planner The University of Adelaide Australia

ECON 1008 - Data Analytics

Career: Undergraduate
Units: 3
Term: Semester 2
Campus: North Terrace
Contact: Up to 3 hours per week. Intensive in Summer Semester.
Restriction: Cannot be counted towards BCompSc, BCompGr, BMath,BMath Adv, BMathComp Sci or BEng(Software Engineering) students
Available for Study Abroad and Exchange: Yes
Available for Non-Award Study: Yes
Quota: A quota may apply
Incompatible: ECON 1008 Business and Economic Statistics I, ECON 1011, WINEMKTG 1015EX, STATS 1000, STATS 1005, STATS 1004, STATS 1504
Assessment: Typically tutorial participation and/or exercises, assignments, tests and final exam
Syllabus:

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, although it may have wider interest. The focus is on concepts, reasoning, interpretation and thinking rather than computation, formulae and theory. Much of the work will require students to write effectively and communicate their ideas with clarity. The course covers two main branches of statistics: descriptive statistics and inferential statistics. Descriptive statistics includes collecting data and summarising and interpreting them through numerical and graphical techniques. Inferential statistics includes selecting and applying the correct statistical technique in order to make estimates or test claims about a population based on a sample. Topics covered may include descriptive statistics, correlation and simple regression, probability, point and interval estimation, hypothesis testing, multiple regression, time series analysis and index numbers. By the end of this course, students should understand and know how to use statistics. Students will also develop some understanding of the limitations of statistical inference and of the ethics of data analysis and statistics. Students will work in small groups in this course; this will develop the skills required to work effectively and inclusively in groups, as in a real work environment. Typically, one component of the assessment requires students to work in teams and collect and analyse data in order to answer a real-world problem of their own choosing.

Course Fees

Course fees are displayed for the Program: select program

Study Abroad student tuition fees available here

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

  Commonwealth Supported Student Contribution
Tuition Fees
Units EFTSL Pre-2010 2010 Onwards Domestic International
3 0.125 Band 2 $1,169 Band 2 $1,169 select program select program


Course Outline

A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here


Critical Dates

Term Last Day to Add Online Census Date Last Day to WNF Last Day to WF
Semester 2 Mon 12/08/2019 Sat 31/08/2019 Fri 20/09/2019 Fri 01/11/2019


Class Details

Enrolment Class: Tutorial
Class Nbr Section Size Available Dates Days Time Location
22182 TU09 38 FULL 6 Aug - 17 Sep Tuesday 9am - 10am Engineering & Mathematics, EM205, Teaching Room
8 Oct - 29 Oct Tuesday 9am - 10am Engineering & Mathematics, EM205, Teaching Room
22342 TU08 38 FULL 5 Aug - 16 Sep Monday 3pm - 4pm Badger, LG17, Teaching Room
14 Oct - 28 Oct Monday 3pm - 4pm Badger, LG17, Teaching Room
22343 TU07 38 FULL 5 Aug - 16 Sep Monday 12pm - 1pm Barr Smith South, 1062, Teaching Room
14 Oct - 28 Oct Monday 12pm - 1pm Barr Smith South, 1062, Teaching Room
22344 TU06 38 FULL 8 Aug - 19 Sep Thursday 8am - 9am Hughes, 323, Teaching Room
10 Oct - 31 Oct Thursday 8am - 9am Hughes, 323, Teaching Room
22345 TU05 38 FULL 6 Aug - 17 Sep Tuesday 8am - 9am Engineering & Mathematics, EMG07, Teaching Room
8 Oct - 29 Oct Tuesday 8am - 9am Engineering & Mathematics, EMG07, Teaching Room
22346 TU04 38 FULL 5 Aug - 16 Sep Monday 11am - 12pm Barr Smith South, 1062, Teaching Room
14 Oct - 28 Oct Monday 11am - 12pm Barr Smith South, 1062, Teaching Room
22347 TU03 38 FULL 7 Aug - 18 Sep Wednesday 8am - 9am Nexus10, UB35, Teaching Room
9 Oct - 30 Oct Wednesday 8am - 9am Nexus10, UB35, Teaching Room
22348 TU02 38 FULL 7 Aug - 18 Sep Wednesday 12pm - 1pm Nexus10, UB35, Teaching Room
9 Oct - 30 Oct Wednesday 12pm - 1pm Nexus10, UB35, Teaching Room
22349 TU01 38 FULL 2 Aug - 20 Sep Friday 12pm - 1pm Nexus10, UB35, Teaching Room
11 Oct - 1 Nov Friday 12pm - 1pm Nexus10, UB35, Teaching Room
26358 TU10 38 FULL 5 Aug - 16 Sep Monday 4pm - 5pm Engineering & Mathematics, EMG06, Teaching Room
14 Oct - 28 Oct Monday 4pm - 5pm Engineering & Mathematics, EMG06, Teaching Room
29182 TU11 38 31 7 Aug - 18 Sep Wednesday 11am - 12pm Nexus10, UB40, Teaching Room
9 Oct - 30 Oct Wednesday 11am - 12pm Nexus10, UB40, Teaching Room
Automatic Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
24952 LE01 408 21 30 Jul - 17 Sep Tuesday 10am - 11am Scott Theatre, 001, Scott Theatre
1 Aug - 19 Sep Thursday 11am - 12pm Scott Theatre, 001, Scott Theatre
8 Oct - 29 Oct Tuesday 10am - 11am Scott Theatre, 001, Scott Theatre
10 Oct - 31 Oct Thursday 11am - 12pm Scott Theatre, 001, Scott Theatre