Performing Data Analysis

Data analysis plays a vital role in uncovering insights that drive informed decision-making. Students explore techniques for identifying patterns, relationships, and trends in data using exploratory analysis, statistical methods, and predictive modeling based on regression and classification. They work with real-world datasets to build supervised and unsupervised learning models, evaluate model performance, and communicate findings through data-driven recommendations that support business objectives.

This course is delivered fully online and asynchronously, with no scheduled class times. Students progress through the course materials at their own pace while receiving support and guidance from experienced instructions throughout the duration of the course. All course requirements must be completed by the course end date.

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