University Course Planner The University of Adelaide Australia

ECON 1008 - Data Analytics

Career: Undergraduate
Units: 3
Term: Semester 1
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 1 Mon 18/03/2019 Sun 31/03/2019 Fri 10/05/2019 Fri 14/06/2019


Class Details

Enrolment Class: Tutorial
Class Nbr Section Size Available Dates Days Time Location
10623 TU04 38 2 12 Mar - 9 Apr Tuesday 8am - 9am Nexus10, UB35, Teaching Room
30 Apr - 11 Jun Tuesday 8am - 9am Nexus10, UB35, Teaching Room
10624 TU03 38 2 15 Mar - 15 Mar Friday 9am - 10am Barr Smith South, 1062, Teaching Room
18 Mar - 8 Apr Monday 11am - 12pm Nexus10, UB34, Teaching Room
29 Apr - 10 Jun Monday 11am - 12pm Nexus10, UB34, Teaching Room
10625 TU02 38 2 15 Mar - 15 Mar Friday 11am - 12pm Engineering Nth, N132, Teaching Room
18 Mar - 8 Apr Monday 10am - 11am Nexus10, UB35, Teaching Room
29 Apr - 10 Jun Monday 10am - 11am Nexus10, UB35, Teaching Room
10626 TU01 38 5 12 Mar - 12 Mar Tuesday 11am - 12pm Marjoribanks, 126, SANTOS Lecture Theatre
18 Mar - 8 Apr Monday 9am - 10am Engineering & Mathematics, EMG07, Teaching Room
29 Apr - 10 Jun Monday 9am - 10am Engineering & Mathematics, EMG07, Teaching Room
13289 TU08 38 22 14 Mar - 11 Apr Thursday 8am - 9am Engineering & Mathematics, EMG07, Teaching Room
2 May - 13 Jun Thursday 8am - 9am Engineering & Mathematics, EMG07, Teaching Room
13290 TU07 38 2 14 Mar - 14 Mar Thursday 5pm - 6pm Nexus10, UB34, Teaching Room
18 Mar - 8 Apr Monday 3pm - 4pm Nexus10, UB36, Teaching Room
29 Apr - 10 Jun Monday 3pm - 4pm Nexus10, UB36, Teaching Room
13291 TU06 38 2 14 Mar - 11 Apr Thursday 4pm - 5pm Nexus10, UB35, Teaching Room
2 May - 13 Jun Thursday 4pm - 5pm Nexus10, UB35, Teaching Room
13292 TU05 38 2 12 Mar - 9 Apr Tuesday 9am - 10am Nexus10, UB35, Teaching Room
30 Apr - 11 Jun Tuesday 9am - 10am Nexus10, UB35, Teaching Room
13293 TU10 38 4 15 Mar - 15 Mar Friday 8am - 9am Barr Smith South, 1062, Teaching Room
18 Mar - 8 Apr Monday 5pm - 6pm Nexus10, UB36, Teaching Room
29 Apr - 10 Jun Monday 5pm - 6pm Nexus10, UB36, Teaching Room
13294 TU09 38 6 15 Mar - 15 Mar Friday 5pm - 6pm Nexus10, UB36, Teaching Room
18 Mar - 8 Apr Monday 4pm - 5pm Nexus10, UB36, Teaching Room
29 Apr - 10 Jun Monday 4pm - 5pm Nexus10, UB36, Teaching Room
Automatic Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
11604 LE01 380 49 5 Mar - 9 Apr Tuesday 1pm - 2pm Scott Theatre, 001, Scott Theatre
7 Mar - 11 Apr Thursday 11am - 12pm The Braggs, G60, Bragg Lecture Theatre
30 Apr - 11 Jun Tuesday 1pm - 2pm Scott Theatre, 001, Scott Theatre
2 May - 13 Jun Thursday 11am - 12pm The Braggs, G60, Bragg Lecture Theatre