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INFT71-216: Data Science

Description

Organisations use their data for decision support and to build data-intensive products and services. The collection of skills required by organisations to support these functions has been grouped under the term Data Science. This subject will articulate the expected output of data scientists and then equip students with the ability to deliver against these expectations. A particular focus will be given to the tools required to model, store, clean, manipulate, and ultimately extract information out of stored data.

Subject details

TypePostgraduate
CodeINFT71-216
EFTSL0.125
FacultyBond Business School
Semesters offered
  • September 2019 [Standard Offering]
  • January 2020 [Standard Offering]
Credit10
Study areas
  • Business and Commerce
Subject fees
  • Commencing in 2019: $4,760
  • Commencing in 2020: $4,930

Learning outcomes

1. Demonstrate proficiency in statistical learning techniques using the R programming language.
2. Demonstrate ability to access data from databases using SQL, APIs and traditional formats.
3. Build data-driven statistical models to address big data focused business problems.
4. Apply data visualisation techniques to communicate solutions to management.
5. Communicate technical solutions to non-technical stakeholders in a professional, concise written report.

Enrolment requirements

Requisites: ?

Nil

Restrictions: ?

Nil

Subject outlines

Subject dates

Standard Offering
Enrolment opens11/11/2018
Semester start14/01/2019
Subject start14/01/2019
Cancellation 1?28/01/2019
Cancellation 2?04/02/2019
Last enrolment27/01/2019
Withdraw – Financial?09/02/2019
Withdraw – Academic?02/03/2019
Teaching census?08/02/2019
Standard Offering
Enrolment opens14/07/2019
Semester start09/09/2019
Subject start09/09/2019
Cancellation 1?23/09/2019
Cancellation 2?30/09/2019
Last enrolment22/09/2019
Withdraw – Financial?05/10/2019
Withdraw – Academic?26/10/2019
Teaching census?04/10/2019