DATA 572 Data Analytics
Data analytics plays a critical role in data-driven decision-making across industries. This course introduces quantitative methods for analyzing consumer behavior, markets, and business strategies. It covers fundamental statistical and probability concepts applied to data analysis tasks, including data cleaning, processing, and analysis. The course also explores data visualization using tools such as Tableau, Power BI, and Matplotlib, along with advanced techniques like clustering and associative rule mining for classification and prediction in business applications. Students will apply these methods to real-world problems using standard statistical software and open-source tools.
Scheduled: As Needed
Offered
As needed