INF80054 Data Science Fundamentals
FIN60003 Business Statistical Modelling
ARC80006 Urban Economics, Planning and Urban Design
INB60003 International Trade and Investment
ECO80002 Advanced Microeconometrics
ECO30003 Data Analysis and Econometrics
ECON202 Introduction to Macroeconomics
ECON201 Introduction to Microeconomics (TA)
Pennsylvania State University
ECON002 Introductoriy Microeconomic Analysis and Policy (TA)
ECON370 Economics of Transition (TA)
The aim of this five week intensive unit is to equip the students with a solid foundation in contemporary data science best practices using Python. It will cover a hands-on introduction to programming paradigms and fundamental data analysis techniques. Through examples involving real-world data, students will learn data cleaning and validation techniques, data transformation procedures, algorithm design, text analytics, and data visualisation techniques. Students will become familiar with important Python software modules such as Pandas, Matplotlib, and the Natural Language Toolkit (NLTK).
Syllabus: INF80054-HB5-2025
Available at GitHub: https://alfons-p.github.io/INF80054-Notes/intro.html
This unit incorporates the application of statistical analysis tools to business problems, which is considered an essential skill for competitive advantage. This unit focuses on the application of statistical tools and concepts to real-world decision-making in order to motivate students to learn, understand, utilise and communicate business statistics appropriately. To enhance students’ appreciation of the power of statistics emphasis is placed on computer-based analysis using Python (along with Excel and Power BI). In particular, this unit provides students with knowledge of statistical techniques and skills to analyse and interpret the results of statistical analysis.
Syllabus: Semester 2, 2025