Fourth Year

This course will introduce students to the growing field of Data Analytics. Data Analytics is the study how to collect, process, interpret, and present data to uncover
meaningful insights and support decision-making. It combines technical skills with critical thinking to help solve real-world problems using data. It focuses on (1) Data
collection: Gathering information from various sources (surveys, sensors, databases, etc.) (2) Preparation & cleaning: Fixing errors, removing duplicates, and making
the data usable (3) Exploratory analysis: Finding trends, relationships, and anomalies (4) Statistical modeling: Applying math and algorithms to predict outcomes
(5) Visualization: Presenting data with charts, dashboards, or maps to tell a story.