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Python for Data Analytics

October 10 @ 1:00 pm - 4:00 pm CDT


This workshop will be held online in two parts.

Part 1: Monday, October 10 | 1:00pm – 4:00pm
Part 2: Monday, October 17 | 1:00pm – 4:00pm

Python is a powerful open-source language & 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. This Python workshop provides attendees with a non-technical introduction to Python applications for data cleaning, merging, visualizing, and analyzing data. Leveraging Jupyter Notebooks, attendees will be empowered to answer the important questions for their organizations.

Topics include:

  • Language introduction: The power of programming
  • Python basics
  • Use of Jupyter Notebooks and Pandas
  • Use of Python for pulling data
  • Python for data cleaning and merging
  • Basic visualization in Python


Dr. Jin Yao (Ph.D., University of Kansas) is a human service data analyst with the Johnson County Government. In her work, Jin 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.


Discounts are available for UMKC faculty, staff, and students. Contact us for details.

Explore the Data Analytics Workshop series

Python for Data Analytics is one of six courses in the UMKC Data Analytics Workshop Series. Click Here to view the full series.

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