UMKC faculty and staff are invited to attend free full-day workshops as the university launches its first pilot programs for the UMKC Institute for Data, Education, Analytics and Science (IDEAS) powered by UMKC TalentLink.
The only requirement: You will be asked for your candid feedback.
To RSVP, email firstname.lastname@example.org. Seating is limited.
Creating Dynamic Dashboards with Tableau
Tableau has become an essential tool for visualizing and communicating data analysis to end-users. Data dashboards are tools to continually track an organization’s position in its environment.
This course leverage Tableau to create functional, attractive and relevant dashboards as tools to communicate to internal and external stakeholders.
Prior use of Tableau is not required for this course. Attendees are required to bring their own laptop.
Instructor: Ron House has leveraged data for industry use for more than 20 years with a specialization in GIS data. An expert in business intelligence, House uses Esri products, Tableau and Alteryx to provide insight into spatial problems.
Python Toolbox Workshop
Python is a powerful open-source language that is a go-to tool in data science. A working understanding of Python is a highly sought-after skill in today’s data science job market.
The Python Toolbox Workshop provides attendees with a non-technical introduction to Python applications for data cleaning, merging, visualizing and analyzing. Leveraging Jupyter Notebooks, attendees will be empowered to answer the important questions for their organizations.
Prior knowledge of Python or computer programming is not required for this workshop. Attendees are required to bring their own laptop.
Instructor: Jin Yao, Ph.D., is a human service data analyst with the Johnson County government. Yao uses machine learning and statistical analysis to support criminal justice and human service interventions in regional communities. Previously she analyzed ecological and agricultural data at the Jornada Experimental Range in New Mexico.
IDEAS offers for-credit and continuing education, multidisciplinary research and community engagement centered on the growing field of data science.