| Pre-Requisites | None |
| Co-Requisites | None |
| Instructional Hours | 40 |
| Instructional Mode | Lecture |
| Delivery Mode | In-Person / Blended / Online |
This course, Foundations of Business Intelligence Analytics (DA100), is designed to introduce students to the fundamental concepts and techniques of business analytics. Business analytics is a fast-growing discipline that involves the use of data and statistical methods to help businesses make better decisions. In this course, students will learn how to extract insights from data to support decision-making processes in various business domains.
The course will cover a range of topics, including data exploration, descriptive analytics, and basic statistical analysis. Through a combination of lectures and practical exercises, students will learn how to collect, analyze, and interpret data using various tools and techniques. By the end of the course, students will have a solid understanding of the role of business analytics in modern business environments and will be able to apply their knowledge to real-world business problems.
By the end of this course, students will be able to:
The course content will be presented through a series of lectures. Students will be evaluated through weekly quizzes, four assignments, and a final exam.
Each week, students will be given a quiz to test their understanding of the material covered in the lectures. These quizzes will be short and will count towards a small percentage of the overall course grade.
Throughout the semester, students will be given four assignments that will require them to apply the concepts and techniques learned in the lectures to real-world business problems. These assignments will be more comprehensive than the weekly quizzes and will count towards a larger percentage of the overall course grade.
At the end of the semester, students will be given a final exam that will cover all the material presented in the lectures. This exam will count towards a significant percentage of the overall course grade.
The following is a week-by-week schedule of the lecture topics:
| Week | Topic |
|---|---|
| 1 | Introduction to Business Analytics |
| 2 | Data Exploration |
| 3 | Hypothesis Formation and Testing |
| 4 | Data Collection Methods |
| 5 | Identifying Biases in Data |
| 6 | Business Metrics I |
| 7 | Business Metrics II |
| 8 | Descriptive Analytics |
| 9 | Prescriptive Analytics |
| 10 | Predictive Analytics |
| 11 | Business Analytics Case Studies |
| 12 | Course Review |