Introduction to Data Analytics

Overview

In today’s data-driven world, professionals across all fields need more than just subject-specific knowledge—they need to understand how to work with data effectively. This fully online, two-credit-hour MOOC introduces undergraduate students from any discipline to the fundamentals of data analytics using accessible tools like Excel, Tableau, and Power BI.

Designed for beginners, the course takes a hands-on, practical approach to analyzing, visualizing, and interpreting data. Through interactive modules and real-world examples, students will gain essential skills in cleaning data, creating dashboards, and drawing insights to support evidence-based decision-making in diverse contexts.

This course is ideal for students from non-technical backgrounds, early-career professionals, or anyone looking to build foundational skills in data analytics—a high-demand capability across industries today.

On completing the course, students will be able to:

  1. Illustrate key concepts, types, and applications of data analytics in across various disciplines.
  2. Integrate the relevant digital tools in data analyses and visualisation tasks for effective decision-making and
  3. Apply data from diverse sources to support data-informed decisions in real-world scenarios.
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Entry Requirements

Elective Details

Course Code: FEL1512
Offering Semester: -
Credit Hours: 2
Delivery: -
Assessment Weightage: Continuous Assessment - 50%; Final Exam - 50%
Course Lecturer: Caroline Yap Yu Li
Contact Email: @email 

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