BUSI 454 Practical Analytics
Course Description
For information regarding prerequisites for this course, please refer to the Academic Course Catalog.
Course Guide
View this course’s outcomes, policies, schedule, and more.*
*The information contained in our Course Guides is provided as a sample. Specific course curriculum and requirements for each course are provided by individual instructors each semester. Students should not use Course Guides to find and complete assignments, class prerequisites, or order books.
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
No details available.
Course Requirements Checklist
After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in the Course Overview.
Discussion
Discussions are collaborative learning experiences. Therefore, the student is required to provide a thread in response to the provided prompt for the Discussion. The thread must be at least 200 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 at least 100 words.
Homework Assignments (7)
The student will complete 7 Homework Assignments in Cengage based on the Camm textbook.
Homework: Debugging Assignments (10)
The student will complete 10 Homework: Debugging Assignments in Cengage based on the Lambert textbook.
Quizzes (9)
Each quiz will cover the Learn material for the assigned module(s): week(s). Each quiz will be open-book/open-notes and take place in Cengage. Quiz information such as number of questions and time limit can be found in Cengage.

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