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Cornell University

Events

9:00 am
In this 1-day course, you will explore, analyze, and customize reports and visualizations in Power BI to discover new insights, showcase those insights, and share them. You will: Explore Power BI reports. Analyze data to get answers and insights.
10:30 am
This training is for Cornell faculty, staff, and student employees who will be adding content to the student-facing website, Experience Cornell.
10:30 am
When does AI actually make sense in your application? What does the integration code look like? Explore these questions and more at the Developer Excellence Workshop hosted by the Software Development Special Interest Group (SD-SIG).
1:00 pm
The Custom Development Office Hour (formerly the Digital Accessibility Office Hour) is a chance to bring your questions about websites, web development, and digital accessibility to the Custom Development experts.
2:00 pm
Due to popular demand, we're expanding to a full hour while keeping our bi-weekly schedule!
9:00 am
This 3-day course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI.
9:00 am
Organizations the world over rely on information to make sound decisions regarding all manner of affairs. But with the amount of available data growing on a daily basis, the ability to make sense of all of that data is becoming more and more challenging.
2:00 pm
Due to popular demand, we're expanding to a full hour while keeping our bi-weekly schedule!
9:00 am
Whether you need to crunch numbers for sales, inventory, information technology, human resources, or other organizational purposes and departments, the ability to get the right information to the right people at the right time can create a powerful competitive advantage.
9:00 am
This 2-day course is designed for professionals in a variety of job roles who are currently using desktop or web-based data-management tools such as Microsoft Excel or SQL Server reporting server to perform numerical or general data analysis.

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information use and third parties, visit University Privacy.