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DTSC71-100: Business Analytics Coding

Description

This subject is an introduction to programming. There is a focus on writing computer code to solve problems in business, which promotes the development of problem-solving skills. The necessary foundation concepts are covered, including expressions, variables, data structures, control structures, functions, commenting and debugging. Although it can be taken as a stand-alone subject, it is specifically designed for students interested in future study in data science and big data analytics. Two widely popular programming languages for data science, R and Python, will be used as vehicles for learning programming. Cutting-edge R and Python packages used by data scientists will be covered in this subject. Prior coding knowledge and experience is not a requirement for this subject

Subject details

Type: Postgraduate Subject
Code: DTSC71-100
EFTSL: 0.125
Faculty: Bond Business School
Semesters offered:
  • January 2022 [Standard Offering]
  • September 2022 [Standard Offering]
  • January 2023 [Standard Offering]
Credit: 10
Study areas:
  • Actuarial Science and Data Analytics
Subject fees:
  • Commencing in 2021: $5,110.00
  • Commencing in 2022: $5,170.00
  • Commencing in 2023: $5,300.00
  • Commencing in 2021: $5,570.00
  • Commencing in 2022: $5,570.00
  • Commencing in 2023: $5,710.00

Learning objectives

1. Draft working computer programs that use variables, assignment and expressions, control structures and functions. 2. Identify and apply the appropriate procedures to document computer code according to common-use standards. 3. Develop computer programs in R and Python to solve business problems. 4. Decompose a complex problem into the constituent parts necessary to develop a modular software solution.

Enrolment requirements

Requisites:

Nil

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.

Restrictions: This subject is not available to
  • This subject is not available to students on US Financial Aid.
  • Students on a Student Visa may be restricted from enrolment due to the mode of delivery in the chosen semester. Check the subject outline for further details.

Subject dates

  • Standard Offering
    Enrolment opens: 14/11/2021
    Semester start: 17/01/2022
    Subject start: 17/01/2022
    Cancellation 1: 31/01/2022
    Cancellation 2: 07/02/2022
    Last enrolment: 30/01/2022
    Withdraw - Financial: 12/02/2022
    Withdraw - Academic: 05/03/2022
    Teaching census: 11/02/2022
  • 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
  • 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
Enrolment opens: 14/11/2021
Semester start: 17/01/2022
Subject start: 17/01/2022
Cancellation 1: 31/01/2022
Cancellation 2: 07/02/2022
Last enrolment: 30/01/2022
Withdraw - Financial: 12/02/2022
Withdraw - Academic: 05/03/2022
Teaching census: 11/02/2022