Microcredentials

Students will learn the technical skills needed to clean messy data and audit charts for accuracy and quality. They will practice choosing the best analytical methods to solve real-world problems based on the specific needs of an organization. Finally, students will become experts at interpreting complex graphs and case studies to turn data into clear, evidence-based stories that help people make smart decisions.

Learners will gain practical experience in database querying and coding by using SQL and Python to organize and analyze large amounts of information. They will apply data visualization and reduction techniques to turn overwhelming datasets into clear, simplified charts that highlight the most important facts. Overall, these skills and competencies prepare learners to handle complex data and present it in a way that is easy for others to understand.

This credential paced course connects classroom math to the real world. Students will learn how to use statistics to find facts in data and understand how to use that information honestly. By the end of the class, they will be ready to use what they’ve learned to solve problems and come up with new ideas in science and engineering.

In this credential paced course, students will learn how to use Python to clean up messy data and turn it into clear, interactive charts and dashboards. They will also practice "data storytelling," which means they will be able to explain what the numbers mean in a way that is easy for anyone to understand. By working on real-world projects, students will gain the confidence to solve problems and share their work professionally with others.