Data Analytics Tools and Techniques. (3-0) 3 Credit Hours

Catalog description

This course offers an introduction to big data analytics using the SAS Enterprise Guide and SQL procedure, essential tools for today's analytical industry. Students will be provided with the opportunity to gain education and experience in managing real-world, complex datasets, addressing challenges such as missing values and data errors. The curriculum covers data importation from various sources, effective data merging, table restructuring, data recoding, conditional processing, summary statistics, and data visualization. Designed for those new to data analytics, this course emphasizes practical skills over programming formalisms, preparing students for applied data analysis tasks. Generally Scheduled Location: Downtown Campus, Internet. This course has Differential Tuition.