| Course Component | Details |
|---|---|
| Lecture: | 02 |
| Lab: | 03 |
| Clinical: | 00 |
| Credit: | 03 |
| Components: | |
| Prerequisites: | None |
| Corequisites: | None |
| Course Description: | |
This course introduces basic concepts and applications of analytics. Topics include an overview of the analytical process and the role of the analyst, applied descriptive statistics, and exploratory data analysis. Upon completion, students should be able to demonstrate a basic understanding of analytics for decision-making in business. |
|
| Course Component | Details |
|---|---|
| Lecture: | 02 |
| Lab: | 03 |
| Clinical: | 00 |
| Credit: | 03 |
| Components: | |
| Prerequisites: | Take BAS-120 |
| Corequisites: | None |
| Course Description: | |
This course introduces key concepts in data visualization and reporting. Topics include concepts and methods used in graphical representation of data, exploration and reporting of data, and basic linear regression methods. Upon completion, students should be able to effectively use graphical tools to communicate insights about data. |
|
| Course Component | Details |
|---|---|
| Lecture: | 02 |
| Lab: | 03 |
| Clinical: | 00 |
| Credit: | 03 |
| Components: | |
| Prerequisites: | None |
| Corequisites: | None |
| Course Description: | |
This course introduces statistical software for analytics. Topics include utilization of analytical and statistical software packages for data management, data visualization, and exploratory data analysis. Upon completion, students should be able to use statistical programming tools to conduct descriptive analytics. |
|
| Course Component | Details |
|---|---|
| Lecture: | 02 |
| Lab: | 03 |
| Clinical: | 00 |
| Credit: | 03 |
| Components: | |
| Prerequisites: | Take BAS-150 |
| Corequisites: | None |
| Course Description: | |
This course covers applications of statistical software for data management and reporting. Topics include data management, data preprocessing, and modeling including linear and logistic regression analysis using programming tools. Upon completion, students should be able to process data and generate reports that support business decision-making. |
|