UWM TechEd Frontiers Data Analytics & Visualization Course
This pathway will prepare you with foundational skills for the digital economy. The data analysis and visualization skills developed by this pathway are increasingly in demand across all sectors and most professional occupations.
This learning pathway will focus on the key areas of managing, analyzing, and visualizing data in Microsoft Excel. The pathway will take learners through five modules, building the foundational skills needed to understand how data analysis improves quality, drives innovation, and creates more informed decision-making. Each self-paced module is designed for two weeks of learning, approximately eight hours each week.
The Basics of Data and Data Management
The Basics of Data Analysis
Descriptive Analysis and Summarizing Data
Data Visualization I
Data Visualization II
Upon successful completion of the Data Analytics and Visualization pathway, the learner will earn a TechEd Frontiers Data Analytics and Visualization digital badge. Digital badges provide metadata, specifically indicating the knowledge, skills, or abilities the earner has gained by completing a learning pathway. Digital badges can be added to a professional resume and posted on social media.
The pathway is aimed at individuals seeking to advance their skills in analyzing and visualizing data accurately and effectively. Learners are not required to have a strong background in data analytics or Excel software. This course will guide students through the steps of using Excel to build data sets and develop visualization techniques applicable in real work settings. Upon successful completion of this pathway, the learner can expect to gain skills to:
collect and interpret accurate data sets
draw inferences and present insights from data
represent data that is accessible and impactful to audiences
use data visualization to inform decision-making
identify primary data visualization categories and their purposes
Subject Matter Experts
The competencies in every TechEd Frontiers pathway have been created and informed by UWM’s award-winning faculty and industry leaders from some of Milwaukee’s largest companies. Experts involved in the Data Analytics and Data Visualization with Excel digital credential come from UWM’s Lubar School of Business, the School of Information Studies, and the College of Engineering & Applied Science.
Course times & dates
This course is self-paced and on demand
Please sign in with your CTSI credentials to access this form. If you haven't signed up yet, please join CTSI.
NIH Funding Acknowledgment:Important Reminder – Please acknowledge the NIH when publishing papers, patents, projects, and presentations resulting from the use of CTSI resources by including the NIH Funding Acknowledgement.