Non-Award
This fully online, two-credit-hour MOOC introduces undergraduate students to the fundamentals of data analytics using tools like Excel, Tableau, and Power BI. Designed for beginners, it emphasizes practical skills in analyzing, visualizing, and interpreting data to support evidence-based decision-making.
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:
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: