Courses
3.87
Key Courses
Big Data for AI & Analytics
Focuses on managing, processing, and analyzing large-scale business data to support data-driven decision-making. Emphasizes hands-on experience with modern tools and techniques for working with complex and high-volume datasets.
Technologies: RDBMS, SQL, PostgreSQL, NoSQL, Python, Jupyter Notebooks, Hadoop, MapReduce, Spark, Docker, Git, Github, Terminal
Applied Data Science
Machine learning with a focus on practical business applications, including problem framing, data preparation, model building, and evaluation. Emphasizes using AI-assisted coding tools to develop, validate, and communicate data-driven insights effectively.
Technologies: Python, Google Colab
Data Visualization
Focuses on designing and creating effective data visualizations to communicate insights and support data-driven decision-making. Emphasizes visualization principles, storytelling, and the use of tools to present data clearly and accurately.
Technologies: Tableau, Power BI, Microsoft Excel, Qlik, Python, Jupyter Notebooks, R, RStudio
Data Mining & Predictive Analytics
Covers fundamental data mining and machine learning techniques used to analyze data and support predictive, data-driven decision-making in business. Focuses on applying core data science concepts to solve real-world business problems and generate actionable insights.
Technologies: Python, Google Colab
Business Application Development
Business application development with a focus on designing and building software solutions to solve real-world business problems. Emphasizes programming fundamentals, object-oriented concepts, and hands-on experience developing and deploying applications.
Technologies: Tableau, Javascript, HTML, CSS, Git, Github
Python for Business Analytics
Python programming with a focus on practical business applications, including data manipulation and analysis. Emphasizes hands-on learning to solve real-world business problems using programming techniques.
Technologies: Python
AI & Analytics
Covers the use of AI and analytics to support data-driven business decision-making across various functional areas. Focuses on applying analytical methods, data visualization, and predictive techniques to generate insights and communicate results effectively.
Technologies: Tableau, Python, Google Colab
Statistical Programming
Builds on foundational statistics and introduces statistical programming for data analysis and interpretation. Focuses on applying inferential methods, regression techniques, and data visualization to support data-driven decision-making.
Technologies: Microsoft Excel, R, RStudio
Data Modeling for Business Analytics
Develops advanced Excel skills for analyzing data, building models, and solving business problems. Emphasizes data integration, visualization, automation, and applying analytical techniques to support decision-making.
Technologies: Microsoft Excel
SUMMER 2026
In Progress Work
| Subject | Course | Title |
|---|---|---|
| FIN | 4443 | Financial Policies & Strategies |
| GEB | 4890 | Strategic Management & Decision Making |
SPRING 2026
| Subject | Course | Title |
|---|---|---|
| FIN | 4514 | Advanced Investment Analysis & Management |
| ISM | 4543 | Applied Data Science |
| ISM | 4545 | Big Data for AI & Analytics |
| ISM | 4930 | Data Visualization |
| GEY | 2000 | Introduction to Aging Sciences |
FALL 2025
| Subject | Course | Title |
|---|---|---|
| ISM | 4541 | Data Mining & Predictive Analytics |
| ISM | 4542 | Statistical Programming for BA |
| ISM | 4547 | Excel/Data Model Business Analytics |
| RMI | 3004 | Principles of Risk Management |
| ARC | 2211 | Intro to Architecture |
| CCJ | 3075 | Intro to Cybercrime |
SUMMER 2025
| Subject | Course | Title |
|---|---|---|
| FIN | 3604 | International Finance |
| GEB | 3033 | Business Skills & Practices |
| ISM | 4212 | Database Design & Administration |
| ISM | 4641 | Python for Business Analytics |
SPRING 2025
| Subject | Course | Title |
|---|---|---|
| CAI | 3801 | AI & Analytics |
| FIN | 4453 | Fin. Modeling & Analytics |
| FIN | 4461 | Financial Statement Analysis |
| ISM | 3232 | Business Application Development |
FALL 2024
| Subject | Course | Title |
|---|---|---|
| FIN | 3233 | Money & Banking |
| FIN | 4504 | Principles of Investments |
| ISM | 3113 | Systems Analysis & Design |
| MAN | 4504 | Operations & Supply Chain Mgmt |
SUMMER 2024
| Subject | Course | Title |
|---|---|---|
| FIN | 3403 | Principles of Finance |
| MAR | 3023 | Basic Marketing |
SPRING 2024
| Subject | Course | Title |
|---|---|---|
| ACG | 2071 | Principles of Managerial Accounting |
| ANT | 2410 | Cultural Anthropology |
| BUL | 3320 | Law & Business I |
| MAN | 3025 | Principles of Management |
FALL 2023
| Subject | Course | Title |
|---|---|---|
| ACG | 2021 | Principles of Financial Accounting |
| AMH | 2020 | American History II |
| ENC | 3250 | Professional Writing |
| ISM | 3011 | Information Systems in Organizations |
SUMMER 2023
| Subject | Course | Title |
|---|---|---|
| ANT | 3101 | Archaeology |
| QMB | 3200 | Business & Economic Statistics II |
SPRING 2023
| Subject | Course | Title |
|---|---|---|
| BSC | 1005 | Biological Prin For Non-Majors |
| CGS | 2100 | Computers In Business |
| ENC | 1102 | Composition II |
| SPC | 2608 | Public Speaking |
FALL 2022
| Subject | Course | Title |
|---|---|---|
| ECO | 2013 | Economic Princples (Macroeconomics) |
| ENC | 1101 | Composition I |
| HUM | 1020 | Introduction to Humanities |
| MAC | 2233 | Business Calculus |
SUMMER 2022
| Subject | Course | Title |
|---|---|---|
| ECO | 2023 | Microeconomic Principles |
| STA | 2023 | Introductory Statistics I |