Practical Analytics – BUSI 454

CG • Section 8WK • 07/01/2018 to 12/31/2199 • Modified 09/05/2023

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.

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 (4)

Discussions are collaborative learning experiences. Therefore, the student is required to provide a thread in response to the provided prompt for each Discussion. Each thread must be 500 words and demonstrate course-related knowledge. In addition to the thread, the student is required to reply to 2 other classmates’ threads. Each reply must be 250 words

Real World Application Research Project Assignment

The student will write a 5-page research-based paper in current APA format that focuses on data analysis. The paper must include at least 4 reference(s) in addition to the course textbooks and the Bible.

Quizzes (4)

Each quiz will cover the Learn material for the assigned module(s): week(s). Each quiz will be open-book/open-notes, contain 20 [multiple-choice questions with a two-hour time limit.