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Programming for Data Analysis
University of Technology Sydney - Direct Enroll Program
Sydney, Australia
Dates: 2/5/25 - 6/15/25
Programming for Data Analysis
OVERVIEW
CEA CAPA Partner Institution: University of Technology Sydney
Location: Sydney, Australia
Primary Subject Area: Computer Sciences
Instruction in: English
Course Code: 37373
Transcript Source: Partner Institution
Course Details: Level 300
Recommended Semester Credits: 4
Prerequisites: (37171 Introduction to Programming OR 41039 Programming 1)) AND (((33230 Mathematics 2 OR 33290 Statistics and Mathematics for Science OR 37132 Introduction to Mathematical Analysis and Modelling)) OR (33130 Mathematics 1 AND 33116 Design, Data, and Decisions)
DESCRIPTION
The goal of this subject is to introduce students to data structures and programming techniques that can be used to collect, manipulate, model, and analyse a broad range of datasets, including datasets with missing values. It uses the Python programming language to learn how to work with numerical, string, and more complex data formats, and to perform basic mathematical modelling or statistical analyses based on the data. The subject places a strong emphasis on developing a clear understanding of the common features of data structures from diverse areas, which may include nonlinear dynamics, discrete optimisation, mathematical physics, statistics, computational biology, or stochastic processes. Students develop practical skills in problem solving by working on a real-world data analysis project, using publicly available datasets.