This course introduces the practical and advanced data analytics for all business majors. The course covers topics of script programming data/statistical analysis and data visualization. Students will practice data analytic method and use related software to solve real-world business questions.
The digital age of business requires an understanding of data. This class will give you the right tools to stay relevant. It also offers the theoretical understanding of data necessary for you to adapt to the many changes in business while also equipping you with the skills you’ll need to perform vital daily functions. This course introduces the practical and advanced data analytics for all business majors. The course covers topics of script programming (i.e., SQL), data/statistical analysis (i.e., SAS), and data visualization (i.e., Tableau). Students will practice data analytic methods and use related software to solve real-world business questions.
Course Credits: 3
Student Learning Outcomes
Upon successful completion of this course, you will be able to:
- Master terminology, components, and logic of various business data analytic technologies/tools and explain how these data analytic technologies can be applied to business and improve decision-making processes.
- Create analytical applications through various data analytic technologies/tools.
- Compare relational databases (SQL) and non-relational data sources (Non-SQL, Hadoop-related technologies).
- Evaluate tools for A/B testing and identify key issues and problems with A/B testing.
- Experiment with predictive and prescriptive modeling, interpret and diagnose the results of predictive models.
- Analyze optimization techniques and be aware of the limitations of prescriptive analytics and the role of optimization in prescriptive analytics.