Course Description and Competencies
What to Expect
In this course, you will work through four chapters: Chapters 1-4 in Data Analytics for Accountants. Throughout the material, you will find readings, videos, and discussion questions. You will also find chapter quizzes that help you test your understanding. Engaging with these activities reinforces new learning. It also complements the knowledge you bring to this area of study.
Prerequisites:
This course is a prerequisite for Data Analytics for Accountants II.
Course Competencies
This course covers the following competencies:
- The learner explains data analysis concepts and models for the accounting field.
- The learner explains ethical data mining techniques and the extract, transform, and load (ETL) process as they relate to financial data.
- The learner analyzes structured financial data for patterns and trends using descriptive or diagnostic techniques.
- The learner creates a consumable presentation from accounting data results.
Assessment
This course requires the successful completion of two performance assessment tasks and one final exam. These assessments provide an opportunity to demonstrate your mastery of the competencies in this course. You may attempt each assessment two times before additional support is necessary. If you require further attempts, please contact your Student Experience Team.