| Unit code & Title | ANA203 - Data Wrangling and Analysis with Python |
| Pre-requisite | Not Applicable |
| Delivery modes | On-campus; Online; |
| Credit points | 10 |
| Study commitment | Average of 150 hours of teaching, learning and assessment over the trimester. |
| Scheduled learning (On-campus) | 2 × 3 hours on-campus seminar and tutorial weekly (for block mode) |
| Scheduled learning (AIA Online) | Recorded contents + 2 × 3 hour online seminar and tutorial weekly |
| Learning Outcomes |
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The purpose of this unit is to lay the programming foundation using Python for beginner students, focusing on data analytics applications in business environments. This unit introduces the fundamental concepts of programming, including development environment, data structures, logic flow control, built-in operations and functions, and fundamental object-oriented programming principles using real-life cases in contemporary business settings. Additionally, to prepare students to work in the data-intensive industry, two of the most popular Python libraries, NumPy and Pandas, are introduced and practised. Data visualization techniques using Matplotlib and Seaborn are also covered to enhance communication skills with non-technical audiences and managers.
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Tuition fees increase at the beginning of each calendar year and all fees quoted are in Australian dollars ($AUD). Tuition fees do not include textbooks, computer equipment or software, other equipment or costs such as mandatory checks, travel and stationery.
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