University Course Planner The University of Adelaide Australia

ECON 1008 - Data Analytics I

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, 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 2 Mon 08/08/2022 Wed 17/08/2022 Fri 16/09/2022 Fri 28/10/2022


Class Details

Enrolment Class: Tutorial
Class Nbr Section Size Available Dates Days Time Location
23836 TU11 30 FULL 29 Jul - 16 Sep Friday 10am - 11am Marjoribanks, 128, BankSA Teaching Suite
7 Oct - 28 Oct Friday 10am - 11am Marjoribanks, 128, BankSA Teaching Suite
23837 TU10 30 1 27 Jul - 14 Sep Wednesday 9am - 10am Marjoribanks, 128, BankSA Teaching Suite
5 Oct - 26 Oct Wednesday 9am - 10am Marjoribanks, 128, BankSA Teaching Suite
23839 TU08 30 FULL 29 Jul - 16 Sep Friday 11am - 12pm Marjoribanks, 128, BankSA Teaching Suite
7 Oct - 28 Oct Friday 11am - 12pm Marjoribanks, 128, BankSA Teaching Suite
23841 TU06 30 FULL 25 Jul - 12 Sep Monday 1pm - 2pm Marjoribanks, 128, BankSA Teaching Suite
3 Oct - 24 Oct Monday 1pm - 2pm Marjoribanks, 128, BankSA Teaching Suite
23842 TU05 30 FULL 28 Jul - 15 Sep Thursday 3pm - 4pm Nexus10, UB34, Teaching Room
6 Oct - 27 Oct Thursday 3pm - 4pm Nexus10, UB34, Teaching Room
23843 TU04 30 FULL 28 Jul - 15 Sep Thursday 5pm - 6pm Nexus10, 102, Teaching Room
6 Oct - 27 Oct Thursday 5pm - 6pm Nexus10, 102, Teaching Room
23846 TU01 30 FULL 29 Jul - 16 Sep Friday 2pm - 3pm Marjoribanks, 128, BankSA Teaching Suite
7 Oct - 28 Oct Friday 2pm - 3pm Marjoribanks, 128, BankSA Teaching Suite
29309 TU13 30 3 25 Jul - 12 Sep Monday 2pm - 3pm Hughes, 322, Teaching Room
3 Oct - 24 Oct Monday 2pm - 3pm Hughes, 322, Teaching Room
29522 TU16 30 23 26 Jul - 13 Sep Tuesday 5pm - 6pm MyUni, OL, Online Class
4 Oct - 25 Oct Tuesday 5pm - 6pm MyUni, OL, Online Class
Note: This class is for offshore/interstate students only. Please refer to MyUni for details once enrolled.
29524 TU14 30 21 25 Jul - 12 Sep Monday 4pm - 5pm MyUni, OL, Online Class
3 Oct - 24 Oct Monday 4pm - 5pm 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
22246 LE01 330 78 26 Jul - 13 Sep Tuesday 9am - 11am Scott Theatre, 001, Scott Theatre
4 Oct - 25 Oct Tuesday 9am - 11am Scott Theatre, 001, Scott Theatre
Note: This class will be recorded during the face-to-face session. See recording in MyUni after the scheduled session.