Data Analysis Certificate
Data is the foundation of the digital age. With major increases in the amount of data being collected, new opportunities are always arising for individuals and teams to make data-informed decisions. Because of this, professionals who are comfortable working with data are invaluable to an organization’s success. The Data Analysis Certificate strengthens your ability to work with data through hands-on practice, small class sizes and instructor/student collaboration. Using both theoretical and practical approaches to data collection, data visualization, data prediction and data decisions, you develop your skills and use them to make data-informed choices within your organization.
Participants who complete the Data Analysis Certificate including Python may be eligible for elective credits in the University of Wisconsin-Milwaukee’s MS for Information Technology Management (ITM) program. Participants need to apply and be accepted into the master’s level program for credit eligibility.
- Assess the validity and quality of various data types
- Translate complex data into easy-to-understand messages for different stakeholder groups
- Select the right data tools to make effective data-informed decisions
- Use data to create predictive models
- Generate clear visual representations of your data
- Identify privacy concerns for data collection and handling
To get started, sign up for the recommended first course, Data Foundations. Earn your certificate by completing all core courses and at least 2 electives.
For information on the course format, view the session information on the selected course page.
2/27/2023 Live Online
Recommended first course
|Microsoft Excel for Analytics|
12/8-12/9 Live Online
|SQL – Introduction|
3/9-3/10/2023 Live Online
|Storytelling With Data|
|Power BI – Introduction|
3/6-3/13/2023 Live Online
|Python for Data Analysis|
4/4-4/20/2023 Live Online
|SQL – Intermediate/Advanced Concepts|
|Understanding Data in Organizations|
4/24-4/26/2023 Live Online
|Using Data for Business Strategy and Decisions|
4/4-4/6/2023 Live Online
|Using Predictive Analytics for Business|
Still Have Questions? Contact Us.
Christine Sigrist, Program Manager
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