Credential Description
This non-credit certificate guides learners through the analysis of data to create workplace efficiencies. Throughout the practical, online lessons, learners will apply some of the more popular methods and techniques in each of the four basic types of data analytics: descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.
Important: You may be eligible to take this program at NO COST through the IT Workforce Accelerator project. A laptop loan program is also available to those who are eligible to enroll in courses.
Please complete the interest form and someone will email you within 2 business days regarding eligibility and to provide the program registration link.
What You’ll Learn
What You’ll Earn
Upon successful completion, you’ll earn a digital badge that can be shared on your LinkedIn profile, digital resume, or portfolio. Your badge will include details of the competencies you’ve mastered, giving employers a visual verification of your newly acquired skills.
Tim Applegren
Lecturer, Computer Science and Information Systems
Bradley University
Mr. Applegren has 45 years of diverse professional experience spanning Research, Engineering, Marketing, Product Support, and Digital & Analytics. He has worked internationally and resided in Beijing, China for three and a half years. Additionally, he has been an affiliate instructor at Bradley University for 17 years.
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Career Pathways
After earning the entry-level non-credit certificate in Data Analytics, there are several career pathways that you could explore:
These are just a few examples of career pathways for someone with a certificate in Data Analytics. Further experience, specialization, and continuous learning will help you advance in your chosen career path within industries that rely on data-driven decision-making.
