MATH 2009 Introduction to Data Science
MATH 2009 Introduction to Data Science (10 Credit Points)
Subject Details Legacy Code: 301033
This subject is replaced by equivalent subject COMP 2025 Introduction to Data Science from 2022.
Analysis of data is essential for scientific investigation, modelling processes and predicting future events. Data Science is the investigation of the tools required that allow us to perform this modelling and prediction. The increase in accessible data over the past few decades has promoted the use of Data Science, making it a desired skill in many professions. In this subject we further investigate the methods of regression, clustering and classification that form the basis of a data scientist's toolbox.
Level: Undergraduate Level 2 subject
Pre-requisite(s): For students NOT enrolled in 3769 Bachelor of Data Science or 3770 Bachelor of Applied Data Science - MATH 1028 Statistical Decision Making or MATH 1003 Biometry or MATH 1030 Statistics for Business
Co-requisite(s): For students enrolled in 3769 Bachelor of Data Science or 3770 Bachelor of Applied Data Science - MATH 1033 Thinking About Data
Restrictions: Please see the Subject Details page for any restrictions for this subject