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
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. Basic R programming (equivalent to the first part of DTSC11-100). Students without the assumed knowledge of R programming, are encouraged to take both subjects DTSC12-200 and DTSC11-100 together (in the same semester). |
Restrictions: |
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Subject outlines
- January 2025 [Standard - Data Science]
- September 2024 [Standard - Data Science]
- January 2024 [Standard - Data Science]
- September 2023 [Standard - Data Science]
- January 2023 [Standard - Data Science]
- September 2022 [Standard - Data Science]
- January 2022 [Standard - Data Science]
- September 2021 [Standard - Data Science]
- January 2021 [Standard - Data Science]
- September 2020 [Standard - Data Science]
- January 2020 [Standard - Data Science]
Subject dates
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January 2024
Standard Offering Enrolment opens: 12/11/2023 Semester start: 15/01/2024 Subject start: 15/01/2024 Cancellation 1: 29/01/2024 Cancellation 2: 05/02/2024 Last enrolment: 28/01/2024 Withdraw - Financial: 10/02/2024 Withdraw - Academic: 02/03/2024 Teaching census: 09/02/2024 -
September 2024
Standard Offering Enrolment opens: 14/07/2024 Semester start: 09/09/2024 Subject start: 09/09/2024 Cancellation 1: 23/09/2024 Cancellation 2: 30/09/2024 Last enrolment: 22/09/2024 Withdraw - Financial: 05/10/2024 Withdraw - Academic: 26/10/2024 Teaching census: 04/10/2024 -
January 2025
Standard Offering Enrolment opens: 10/11/2024 Semester start: 20/01/2025 Subject start: 20/01/2025 Cancellation 1: 03/02/2025 Cancellation 2: 10/02/2025 Last enrolment: 02/02/2025 Withdraw - Financial: 15/02/2025 Withdraw - Academic: 08/03/2025 Teaching census: 14/02/2025
Standard Offering | |
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Enrolment opens: | 12/11/2023 |
Semester start: | 15/01/2024 |
Subject start: | 15/01/2024 |
Cancellation 1: | 29/01/2024 |
Cancellation 2: | 05/02/2024 |
Last enrolment: | 28/01/2024 |
Withdraw - Financial: | 10/02/2024 |
Withdraw - Academic: | 02/03/2024 |
Teaching census: | 09/02/2024 |
Standard Offering | |
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Enrolment opens: | 14/07/2024 |
Semester start: | 09/09/2024 |
Subject start: | 09/09/2024 |
Cancellation 1: | 23/09/2024 |
Cancellation 2: | 30/09/2024 |
Last enrolment: | 22/09/2024 |
Withdraw - Financial: | 05/10/2024 |
Withdraw - Academic: | 26/10/2024 |
Teaching census: | 04/10/2024 |
Standard Offering | |
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Enrolment opens: | 10/11/2024 |
Semester start: | 20/01/2025 |
Subject start: | 20/01/2025 |
Cancellation 1: | 03/02/2025 |
Cancellation 2: | 10/02/2025 |
Last enrolment: | 02/02/2025 |
Withdraw - Financial: | 15/02/2025 |
Withdraw - Academic: | 08/03/2025 |
Teaching census: | 14/02/2025 |