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Data Analytics with Excel

September 20 @ 1:00 pm - 4:00 pm CDT


This workshop will be held via Zoom in two parts.

Part 1: Tuesday, September 20 | 1:00pm – 4:00pm
Part 2: Tuesday, September 27 | 1:00pm – 4:00pm

Working with Data to Make Decisions

We live in a data-rich world where understanding and harnessing your data is key to making informed business and research decisions. But not everyone needs, or can even afford, expensive specialized software. Luckily, impactful data analysis can be easy and effective with Microsoft Excel – no data science degree necessary.

In this course participants will learn how to think strategically about data, identify the right questions to ask, and practice organizing, testing, and visualizing data with tools available in Microsoft Excel.

Topics include:

  • Overview of the data analysis process,
  • Common analytics strategies, and
  • Manipulation and analysis of data in Excel

Who should attend

Anyone who works or interacts with data for their job, research, or personal interest but may not have a background in data science; Individuals or teams looking to better harness their data with limited resources; Professionals just starting their data analytics journey.


Dr. Alex Francisco (PhD, University of Missouri–Kansas City) is the senior population health scientist at the Kansas City Health Department. He is the director of the Office of Population Health Science and Statistics, where he uses data analytics to research, understand, and improve the health of populations within Kansas City. His current efforts utilize computational modelling to best aid the KCMO COVID-19 response.


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

Explore the Data Analytics Workshop series

Data Analytics with Excel is one of six courses in the UMKC Data Analytics Workshop Series. Click here to view more courses.

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