Lifelong Learning and Continuing Education at Quinnipiac University
Micro-Credential

Data Literacy Fundamentals

Designed for working professionals, this non-credit, online executive education program builds essential data literacy skills to enable informed decision-making, critical data analysis and effective communication of data-driven insights across professional environments.
Register
A business analytics student works collaboratively with laptops with another student
Delivery Method Online
Credits Non-Credit
Time Commitment Days
Format Synchronous

Program Overview

To earn this Level IV Badge, you will apply working knowledge of essential data analysis platforms including when and how to use them in the data lifecycle, translating a business question into a data analysis exercise, distilling findings from data into actionable takeaways and working with data responsibly.

You should pursue this micro-credential if:

  • You are an undergraduate student at Quinnipiac or another university

  • You are interested in earning transferable credits

  • Your curricular and career aspirations would be improved by earning a recognized industry certification in data analytics

Demonstrate Your Expertise

Level IV

The highest level of micro-credentials we offer, Level IV badges are recognized by employers as a means of identifying learners who are qualified and capable of performing particular skills or sharing specialized knowledge within professional environments.

Request Information

Loading...

Learning Outcomes

All learners who complete the required training will earn a Level IV Badge.

  1. Through this program, participants engage in self-assessments, interactive case studies, hands-on data interpretation and data visualization analysis, and group-based exercises to prepare and present data for various stakeholder groups using newly developed data communication skills. Participants will identify opportunities and prepare examples for real-world application.

  2. Through exercises, participants increase their awareness and knowledge of the data they encounter in their day-to-day roles, how this data can be used to better understand their work, accomplish their goals, work more efficiently and problem-solve. Participants develop the tools to analyze data and data sources to verify accuracy, bias and reliability as well as the tools to compare/contrast different types of data and data visualizations.

  3. By the end of this program, participants gain the ability to discuss and share insights from their organizational data with their team and stakeholders, including learning how to strategically design data visualizations and tailor data-based presentations/messages to different stakeholder groups to support real decision-making scenarios and problem-solving processes.

 

Key Skills Acquired:
  • Data Literacy

  • Data Presentation

  • Data Visualization

  • Information Literacy

  • Problem-Solving

What is a micro-credential?

Credly Logo

By earning a micro-credential, learners across a wide array of industries, verticals and professional fields are able to showcase the acquisition of specialized knowledge that offers unique value in the workplace. Micro-credentials are flexible and versatile, designed and delivered in an accelerated format by our experienced faculty and industry thought leaders who understand critical shortages and skills gaps.

All students who complete a micro-credential associated with academic credit or co-curricular experiences will receive a designation on their transcript and a digital badge through Credly. Micro-credential earners are encouraged to share their achievements on resumes, social media platforms and e-portfolios.

Learners can begin their pursuit of micro-credentials at any level; individuals who are new to the field are best suited for Participation or Level I badges, whereas experienced professionals might be more interested in advanced Level III Badges or Level IV Certifications. More information about our micro-credential taxonomy can be found below. 

Our Program Director