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MIS370 - Web Analytics
Course Description
This course provides an overview of the tools and techniques for analyzing website data. The course will focus on interpreting website data to make decisions about performance. Topics included are clickstream analysis, measuring website success and performance, website strategy testing, keyword analysis, and social media and blog analysis.
Credit Hours: 3
MIS407 - Database Concepts
Course Description
The course covers the basics of relational databases, including basic terminology and concepts, database integrity, and normalization. The relational model will be examined in detail in order to appreciate database structure, integrity, and manipulation. Current relational database management systems will be explored and contrasted, as will basic relational database design and SQL programming.
Credit Hours: 3
MIS445 - Statistics in Business Analytics
Course Description
A study of data analysis, data production, and statistical inference. Areas of study include: surveys and designed experiments, randomization, causation, regression, and inference using hypothesis tests. This course also explores using statistical methods for the analysis of, data for an enterprise performance and quality, effectiveness, and marketability. Statistical software will be utilized to conduct a predictive analysis, analyze the results, and document the findings.
Credit Hours: 3
MIS450 - Data Mining
Course Description
Course Description
Through this course students are provided with an overview of techniques for data mining. Students will use statistical software as the primary tool for this course. This course will cover various data mining methodologies and different analyses techniques. Recommended Prior Course: MIS445
Credit Hours: 3
MIS470 - Data Science Foundation
Course Description
This course provides an overview of the tools and techniques for analyzing data using statistics, and R Programming. Topics include data storage, linear regression, classification, linear models, tree-based learning, R programming, and graphical procedures.
Credit Hours: 3
