Data Analytics Certificate and Minor
Gain in-demand data skills that drive decision-making across industries
Data is everywhere, from health care and education to marketing and community planning. According to recent reports, skills in data management and technology are among the fastest-growing needs for employers over the next five years, and wages typically range from $31 to $45 per hour.
Data Analytics Certificate
The Data Analytics Certificate at Colorado Mountain College helps you unlock the power of information. Learn how to organize, interpret, and communicate data that supports smarter decisions and drives real-world impact.
This fully online, one-year program builds a strong foundation in essential skills like data visualization, statistical analysis, and database tools, preparing you for high-demand jobs or advanced study. Whether you're just starting out or adding to your existing career, this flexible certificate is a smart, stackable credential.
Add a Minor in Data Analytics to any CMC bachelor’s degree
Pair your major with a Minor in Data Analytics. This minor prepares you to apply data science tools and techniques to generate insights, predict trends, and make data-driven decisions in any industry.
Coursework includes computer programming, machine learning, probability and statistics, inference, optimization, visual analytics, and more. It’s a powerful way to expand your understanding of data.
The Data Analytics Minor can be added to any CMC bachelor’s degree.
For more information, visit the Minor in Data Analytics program page.
Request Program Information
The Data Analytics Certificate and Minor is offered:
- Fully Virtual
Program Learning Outcomes are what we expect each student will learn while earning a degree or certificate. Meeting these learning outcomes is how we assess our performance as a college. Our learning outcomes support both important career skills and future success as a student.
Upon completing the Data Analytics Certificate program, CMC students will be able to:
- Summarize practical statistical terms commonly used in the data analytics field.
- Apply statistical methods to solve industry problems in all business sectors.
- Analyze different datasets from diverse data sources.
- Generate information from various data sources to provide insights for solving practical problems.
- Create storytelling reports to synthesize results of descriptive statistics to stakeholders.
- Develop critical thinking to solve problems through data driven models.