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ECON 1008 - Data Analytics I
University Course Planner The University of Adelaide Australia

ECON 1008 - Data Analytics I

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, BCompSc Adv, BCompGr, BMath, BMath Adv, BMathComp Sci or BEng(Software Engineering)
Available for Study Abroad and Exchange: Yes
Available for Non-Award Study: Yes
Quota: A quota may apply
Incompatible: ECON 1008UAC, WINEMKTG 1015EX, STATS 1000, STATS 1005, STATS 1004, STATS 1504. Not permitted after ECON 1011.
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

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Student Status

Domestic
International

What type of place are you studying in

Commonwealth supported
Full fee paying

Study Level

Undergraduate
Postgraduate Coursework
Non Award

Program of Study

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

Units
EFTSL
Amount
3
0.125
          
  


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 Tue 15/03/2022 Thu 24/03/2022 Fri 06/05/2022 Fri 10/06/2022


Class Details

Enrolment Class: Tutorial
Class Nbr Section Size Available Dates Days Time Location
14010 TU12 30 1 2 Mar - 6 Apr Wednesday 9am - 10am Nexus10, 102, Teaching Room
27 Apr - 8 Jun Wednesday 9am - 10am Nexus10, 102, Teaching Room
14011 TU11 30 7 28 Feb - 4 Apr Monday 10am - 11am Nexus10, UB36, Teaching Room
25 Apr - 6 Jun Monday 10am - 11am Nexus10, UB36, Teaching Room
14012 TU10 30 FULL 2 Mar - 6 Apr Wednesday 3pm - 4pm Barr Smith South, 1063, Teaching Room
27 Apr - 8 Jun Wednesday 3pm - 4pm Barr Smith South, 1063, Teaching Room
14013 TU09 30 4 3 Mar - 7 Apr Thursday 9am - 10am Nexus10, UB34, Teaching Room
28 Apr - 9 Jun Thursday 9am - 10am Nexus10, UB34, Teaching Room
14014 TU08 30 5 28 Feb - 4 Apr Monday 11am - 12pm Marjoribanks, 128, BankSA Teaching Suite
25 Apr - 6 Jun Monday 11am - 12pm Marjoribanks, 128, BankSA Teaching Suite
14019 TU03 30 20 28 Feb - 4 Apr Monday 9am - 10am Lower Napier, LG24, Teaching Room
25 Apr - 6 Jun Monday 9am - 10am Lower Napier, LG24, Teaching Room
14020 TU02 30 1 2 Mar - 6 Apr Wednesday 12pm - 1pm Nexus10, UB35, Teaching Room
27 Apr - 8 Jun Wednesday 12pm - 1pm Nexus10, UB35, Teaching Room
19681 TU13 30 18 28 Feb - 4 Apr Monday 3pm - 4pm Hughes, 323, Teaching Room
25 Apr - 6 Jun Monday 3pm - 4pm Hughes, 323, Teaching Room
19927 TU16 30 14 1 Mar - 5 Apr Tuesday 4pm - 5pm MyUni, OL, Online Class
26 Apr - 7 Jun Tuesday 4pm - 5pm MyUni, OL, Online Class
Note: This class is for offshore/interstate students only. Please refer to MyUni for details once enrolled.
19928 TU15 30 25 1 Mar - 5 Apr Tuesday 5pm - 6pm MyUni, OL, Online Class
26 Apr - 7 Jun Tuesday 5pm - 6pm MyUni, OL, Online Class
Note: This class is for offshore/interstate students only. Please refer to MyUni for details once enrolled.
19929 TU14 30 22 2 Mar - 6 Apr Wednesday 5pm - 6pm MyUni, OL, Online Class
27 Apr - 8 Jun Wednesday 5pm - 6pm MyUni, OL, Online Class
Note: This class is for offshore/interstate students only. Please refer to MyUni for details once enrolled.
Automatic Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
12353 LE01 330 117 28 Feb - 4 Apr Monday 1pm - 2pm Scott Theatre, 001, Scott Theatre
2 Mar - 6 Apr Wednesday 2pm - 3pm The Braggs, G60, Bragg Lecture Theatre
25 Apr - 6 Jun Monday 1pm - 2pm Scott Theatre, 001, Scott Theatre
27 Apr - 8 Jun Wednesday 2pm - 3pm The Braggs, G60, Bragg Lecture Theatre
Note: This class will be recorded during the face-to-face session. See recording in MyUni after the scheduled session.