Section Course Content and Format
Subsection Course Description
This course will provide students with an understanding of how organizations can successfully collect, organize, manipulate, use, prospect and present data. Students will manipulate and interpret actual data using software such as Excel, SPSS, Power BI, Tableau, or Watson.
Prerequisite Information:
Successful completion of QUAN 2020 and Junior standing in the College of Business are required. You are expected to be proficient in Excel – do not expect class time to be devoted to learning Excel basics.
Subsection Course Format
The course will be online, and a tentative schedule is included later in the syllabus. On Canvas, the course is organized by weekly modules.
Based on a background coverage of Descriptive Statistics, Data Visualization, Probability, Statistical Inference, and the philosophy of information presentation, we will use Excel and Tableau to produce data analysis of real-world data samples.
This class may be run more informally than what you might have experienced in QUAN 2010 and 2020. You are now more experienced and mature learners, and our course will focus mostly on projects/case studies/quizzes/homework instead of exams. You should do the assigned reading from the schedule below each week.
Subsection Course Learning Objectives
- Students will understand the principles and concepts of descriptive statistics in a business context, extending the coverage in QUAN 2010 and QUAN 2020.
- Students will develop a philosophy of information presentation, and apply the concepts of descriptive statistics to make effective data displays to support decision making.
- Students will apply descriptive analytics tools and software to uncover patterns and relationships in data.
- Students will summarize and communicate insights provided by data in a professional business context.
