Type: | Undergraduate Subject |
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Code: | DTSC12-200 |
EFTSL: | 0.125 |
Faculty: | Bond Business School |
Semesters offered: |
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Credit: | 10 |
Study areas: |
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Subject fees: |
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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
Learning outcomes
- Demonstrate proficiency in common statistical learning techniques using the R programming language
- Demonstrate the ability to access data from databases using SQL, APIs and traditional formats.
- Build data-driven statistical models to address data focused on common business problems.
- Apply data visualisation techniques to communicate solutions to management.
- Communicate technical solutions to non-technical stakeholders in a professional, concise written report.
Enrolment requirements
Requisites: |
Nil |
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Assumed knowledge: |
Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.
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Restrictions: |
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Subject dates
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September 2022
Standard Offering Enrolment opens: 17/07/2022 Semester start: 12/09/2022 Subject start: 12/09/2022 Cancellation 1: 26/09/2022 Cancellation 2: 03/10/2022 Last enrolment: 25/09/2022 Withdraw - Financial: 08/10/2022 Withdraw - Academic: 29/10/2022 Teaching census: 07/10/2022 -
January 2023
Standard Offering Enrolment opens: 13/11/2022 Semester start: 16/01/2023 Subject start: 16/01/2023 Cancellation 1: 30/01/2023 Cancellation 2: 06/02/2023 Last enrolment: 29/01/2023 Withdraw - Financial: 11/02/2023 Withdraw - Academic: 04/03/2023 Teaching census: 10/02/2023
Standard Offering | |
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Enrolment opens: | 17/07/2022 |
Semester start: | 12/09/2022 |
Subject start: | 12/09/2022 |
Cancellation 1: | 26/09/2022 |
Cancellation 2: | 03/10/2022 |
Last enrolment: | 25/09/2022 |
Withdraw - Financial: | 08/10/2022 |
Withdraw - Academic: | 29/10/2022 |
Teaching census: | 07/10/2022 |
Standard Offering | |
---|---|
Enrolment opens: | 13/11/2022 |
Semester start: | 16/01/2023 |
Subject start: | 16/01/2023 |
Cancellation 1: | 30/01/2023 |
Cancellation 2: | 06/02/2023 |
Last enrolment: | 29/01/2023 |
Withdraw - Financial: | 11/02/2023 |
Withdraw - Academic: | 04/03/2023 |
Teaching census: | 10/02/2023 |