Practical Analytics – BUSI 454

CG • Section 8WK • 07/01/2018 to 12/31/2199 • Modified 04/26/2022

Course Description

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.

For information regarding prerequisites for this course, please refer to the Academic Course Catalog.

Rationale

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:

  1. Integrate biblical principles within the field of business data analysis.
  2. Collect relevant data, discover data patterns, and select the best data analysis technique.
  3. Apply advanced data analysis techniques.
  4. Master data analysis, modeling and spreadsheet use.

Course Assignment

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 (8)

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.