Alumni Opportunities
Announcing Exclusive Course Offerings
Business and technology are constantly changing. Rasmussen College has aligned with Pragmatic Institute to provide expert training opportunities, help enhance your skills and align with the ever-changing needs of the marketplace. Pragmatic Institute is providing an exclusive offer to Rasmussen College Bachelor's degree graduates: 40% off select Pragmatic Institute online courses. Pragmatic Institute specializes in providing best practices and proven tools to business and data science professionals. Skills in data science are in high-demand—expert training from Pragmatic Institute can help you take on the future of data and your future career.
40% OFF select online courses
The Business of Data Science
Understand the fundamentals of data science and how to utilize it to make better business decisions in your organization with this online course. Business professionals and leaders will benefit from this supplemental knowledge in data science, machine learning and AI to enhance their processes and improve communication with data professionals.
Here is just a sample of topics covered in this course:
- Learn about supervised and unsupervised machine learning and AI
- Translating business problems into data science tasks
- Optimizing decision-making with the three pillars
- Measuring success and avoiding common pitfalls
- How to successfully implement data science projects

Data Science I: Essential Tools
In this online course, alumni will learn hands-on data science skills with Python and greater knowledge of Python programming for data analysis. This course will help eligible Bachelor's degree graduates refresh and enhance their skills, with particular focus on Python, the leading open-source platform for data science.
Here is just a sample of topics covered in this course:
- Construct commonly used data structures in Python
- Understand string data types and common operations
- Encapsulate a process into a function
- Object-oriented programming (OOP)
- Learn and use NumPy and Pandas Python packages
