SWCON256 Introduction to Data Analytics

Course Description

This course introduces the essential lifecycle of data science. Students learn how to transform raw data into actionable insights through statistical methods, preprocessing techniques, and exploratory analysis.

• Key Topics: Data Cleaning, Exploratory Data Analysis (EDA), Statistical Inference, and Data Visualization using Python.

• Goal: To develop "data literacy," enabling students to interpret patterns and make evidence-based decisions in various domains.