DATA ANALYTICS AND IT FOR ACCOUNTANTS

Catalog description

This course is designed to provide students with a broad understanding of the multifaceted field of data analytics. The course covers essential topics ranging from an overview of data analytics to practical applications in accounting. Beginning with a foundational understanding of data analytics, students will explore the intricacies of data acquisition, dimensional data modeling, and data extraction, transformation, and loading (ETL). Students will also delve into advanced techniques such as slicing and dicing, data visualization, and the creation of reports and dashboards. The course also includes an introduction to data mining, unsupervised machine learning, time series analysis, predictive machine learning, and real-world analytics practices. Students are required to complete a project which will provide hands-on experience and facilitate a deeper understanding of the concepts taught. Emphasizing high-level concepts, this course offers a wide breadth of knowledge, equipping students with the essential skills and understanding needed to excel in the ever-evolving field of data analytics. Admission to the MS program is required to take this course. Students must achieve a B or better in this course to remain in the program.