This course provides a hands-on exploration of current business analytical tools including reporting, visualization, and prediction. Analyses will be considered in a real-world context utilizing a variety of data sets and case studies.
Understanding and being able to forecast relevant business and economic variables are vital for decision makers in companies or governments. This course provides the most useful quantitative techniques in business and economic forecasting. Python computer software is used.
Measurable Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Integrate biblical principles within the field of business data analysis.
- Collect relevant data, discover data patterns, and select the best data analysis technique.
- Apply advanced data analysis techniques.
- Master data analysis, modeling and spreadsheet use.
Textbook readings and lecture presentations
Course Requirements Checklist
After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in the Course Overview.
Discussions are collaborative learning experiences. Therefore, the student is required to provide a discussion thread of at least 300 words in response to the provided prompt. In addition, the student is required to respond to 2 other classmates' threads with replies of at least 100 words.
Weekly Exercise Assignments (8)
The student will use information from each Module: Week's Learn section to practice analytics.
Case Study Assignments (8)
The student will complete 8 projects related to case studies found within the course texts.