Career-Ready Skills. Future-Focused Education.
A University of Nebraska–Lincoln degree opens doors. The Career Success Platform helps students walk through them with confidence.
Through industry-aligned digital badges, students can strengthen their academic experience with practical, career-relevant skills that complement their coursework. These non-credit credentials focus on specific skill areas employers value, allowing students to translate what they are learning into applied, workforce-ready experience while staying fully focused on their degree programs. Students can earn these credentials at their own pace and apply them directly to internships, research experiences, and early career roles.
Think of it as building a career backpack: credentials, skills, and proof of what you know and can do.
What is the Career Success Platform?
The UNL Career Success Platform provides free access to career-focused learning for UNL undergraduate and graduate students.
Through the platform, UNL offers access to Coursera Career Academy, which includes certificate-based courses across four areas:
- Software Engineering and IT
- Data Science and Analytics
- Sales and Marketing
- Business Operations and Support
Courses are developed by leading employers, including Google, IBM, Intuit, Meta, PwC, and Salesforce. These credentials are designed to align with workforce needs while reinforcing the academic foundation students gain through their UNL degrees.
Request Access
UNL students can request access to the Career Success Platform by completing a short form. Once submitted, you will receive information about available credentials, how to get started, and what to expect from the platform. Access is provided at no cost to eligible UNL undergraduate and graduate students.
Request access and learn more: https://go.unl.edu/careersuccess
Estimated Total Student Time: 10–12 hours
Artificial Intelligence - Level I
What Students Learn
- Foundational AI concepts and terminology
- Responsible and ethical use of AI
- Introduction to generative AI and machine learning
- Overview of AI use cases across industries
Estimated Total Student Time: 13–16 hours
Data Analysis - Level I
What Students Learn
- Introductory Python programming
- Understanding data structures and analytic workflows
- Foundations for statistical thinking and interpretation
- Data literacy and basic analysis techniques
Estimated Total Student Time: 8–10 hours
Tableau - Level I
What Students Learn
- Basics of data visualization using Tableau
- Creating charts, dashboards, and visual narratives
- Understanding visual design principles
- Applying visualization techniques to data storytelling
Estimated Total Student Time: 10–12 hours
Project Management - Level I
What Students Learn
- Foundations of project planning and workflow design
- Communication and coordination skills
- Basics of task structuring and sequencing
- Introduction to project documentation
Estimated Total Student Time: 6–8 hours
Writing - Foundational
What Students Learn
- Grammar, punctuation, and clarity
- Academic writing conventions
- Improving confidence and structure in written communication