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Excel for Data-Wranging, Analysis, And Visualization Part 2 - Face 2 Face - Jingjing Wu, Kimberly Vardeman In-Person
Only 15 spots are available in the library lab to follow university guidelines, must register to attend in person.
Learning Outcomes:
1. Use Excel Power Query to connect data from various sources
2. Use Data model and Power Pivot
3. Transform data into a format ready for analysis
Abstract:
Researchers are dealing with more and more data in their routine work. Although many tools are available, Excel spreadsheets remain an indispensable part of data management. Excel handles a variety of data formats, transforms raw data into other formats for further analysis, and has important features for summarizing and visualizing data. This two-part workshop aims to develop Excel skills. Part 2 of the workshop will use some example datasets to demonstrate Power Query, Power Pivot, and Data Model. (Part 1 of this workshop will demonstrate these Excel features: PivotTable and PivotChart.) This session will expect that attendees have at least basic familiarity with Excel. The methods of analyzing and visualizing data will be practical for attendees at the beginner or intermediate level. This workshop is open to people of any academic status—graduate, undergraduate, faculty, or staff. Attendees are invited to bring their own laptops to follow along with hands-on learning.
- Date:
- Tuesday, September 29, 2020
- Time:
- 3:00pm - 5:00pm
- Time Zone:
- Central Time - US & Canada (change)
- Location:
- Lab 150
- Locations:
- University Library
- Audience:
- Undergrads, Graduates, Staff and Faculty
- Categories:
- Workshops