University Course Planner The University of Adelaide Australia

ECON 1008UAC - Data Analytics

Career: Non-Award
Units: 3
Term: Term 4
Campus: University of Adelaide College
Restriction: Cannot be counted towards BCompSc, BCompGr, BMath,BMath Adv, BMathComp Sci or BEng(Software Engineering) students
Available for Study Abroad and Exchange: No
Available for Non-Award Study: No
Incompatible: ECON 1008UAC Business and Economic Statistics I, ECON 1011, WINEMKTG 1015EX, STATS 1000, STATS 1005, STATS 1004, STATS 1504
Assessment: Typically, tutorial participation &/or exercises, assignments, tests & 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

Tuition fees for students undertaking this course are charged by University of Adelaide College.


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
Term 4 Mon 21/10/2019 Fri 25/10/2019 Tue 26/11/2019 Fri 20/12/2019


Class Details

Enrolment Class: Lecture
Class Nbr Section Size Available Dates Days Time Location
46046 01BR 180 180 No details available