Business Data Analyst Diploma

Program Information

The Business Data Analyst 45-credit diploma equips students with the foundational skills and knowledge essential for entry-level roles in data analysis and business intelligence. This program covers the entire data lifecycle, teaching students how to collect, clean, and organize data to ensure high quality and consistency. Students will gain expertise in transforming raw data into usable formats, applying data testing methods, and validating data for accuracy to support sound business decisions.

With a focus on using industry-standard tools, the program guides students in creating effective data visualizations that communicate actionable insights to stakeholders. Through hands-on projects and collaborative activities, students will understand the role of data analysis in each phase of business decision-making and develop interpersonal skills for working alongside managers from various departments. Additionally, the program emphasizes the ethical responsibilities of data analysts in today’s data-driven business environment.

This unique program allows technical specialization in Business Data Analysis while the common core courses and required electives from other options build a broad IT foundation needed to understand the terminology and methodologies of other IT specialties in the workplace.

Program Learning Outcomes

1. Identify the key responsibilities required for data analyst and business intelligence roles.
2. Acquire skills to collect, clean, and organize data for analysis, ensuring quality and consistency.
3. Demonstrate the ability to process and transform raw data into formats suitable for analysis.
4. Apply basic data testing methods to validate data accuracy and integrity for reliable decision-making support.
5. Use industry standard tools to create clear, informative data visualizations that communicate key insights.
6. Describe how data analysis supports various stages of business decision-making.
7. Learn the importance of data privacy, security, and ethical considerations in data handling and reporting.

Program Essentials

To support modern IT coursework, development tools, virtualization, and future‑focused software, students are strongly recommended to use a Windows‑based PC laptop that meets or exceeds the following specifications:

• Operating System: Windows 11 (Windows 10 acceptable if fully updated)

• Processor (CPU): Intel Core i7 (10th Generation or newer) or equivalent (e.g., AMD Ryzen 7) 

• CPU Cores: Quad‑core or higher (6-8 cores recommended for virtualization and development work) 

• Memory (RAM): 16 GB RAM (32 GB recommended for running virtual machines and advanced tools)

• Storage: 512 GB SSD minimum (1 TB SSD recommended) Architecture: 64‑bit system with virtualization support enabled

Program Start Dates

Fall Semester: August
Spring Semester: January

Faculty Contact

Tracy Holffman: 763-576-4198
Julie Myers: 763-576-4072