Date:                  Series start November 2, 2021
Time:                 9:00 am – 11:00 am
Cost:                  $0
Course Type:    Virtual Learning

When you are in a meeting with a data presentation or asked to present data, do you feel like it’s a foreign language?  Join CHCACT to increase your data literacy!  Data literacy is the ability to accurately read, analyze, and apply data and it’s no longer just the responsibility of the data analyst.    It’s a crucial skill for team members of all levels, but even more important in a role of manager or supervisor.  

The more you are able to read and interpret data accurately and effectively, the more you are able to impact your health centers operations.   You don’t have to be a math wizard to be data-literate within your health center.  

This multi-session program will provide you will skills to collect, enter, and perform calculations with data in MS-EXCEL spreadsheets, and to utilize basic statistical techniques to analyze and present the data in words, graphs and charts.  

This virtual learning session will help to: 

  1. Demonstrate how you can integrate data driven decision making into your everyday work 
  2. Increase your level of data literacy 
  3. Learn and recognize best practices for requesting, cleaning, analyzing, visualizing, and sharing data 

Who should attend: 

Health center staff who would like to become more data savvy and learn how to integrate data driven decision making into their everyday work. Content is geared towards new managers and team leads who would like to brush up on their data literacy. 

This course will consist of 6 sessions, and 5 office hours (office hours are optional), and it is highly recommend to sign up for all sessions as they build upon each other.

Session 1: Introduction to Data Driven Decision Making & Data Literacy                                                                              Tuesday November 2nd 9:00 – 11:00                                                                                                                                                                Session 1 Office hours: Tuesday November 9th 8:30 – 9:00

Session 2: Data Collection                                                                                                                                                          Tuesday November 9th 9:00 – 11:00                                                                                                                                                                Session 2 Office hours: Tuesday November 16th 8:30 – 9:00

Session 3: Cleaning & Comprehending Data                                                                                                                                Tuesday November 16th 9:00 – 11:00                                                                                                                                                             Session 3 Office hours: Tuesday November 30th 8:30 – 9:00

Session 4: Analyzing Data & Combining Data Sources (the more complicated stuff)                                                       Tuesday November 30th 9:00 – 11:00                                                                                                                                                               Session 4 Office hours: Tuesday December 7th 8:30 – 9:00

Session 5: Visualizing and Sharing Data                                                                                                                                             Tuesday December 7th 9:00 – 11:00                                                                                                                                                                   Session 5 Office hours: Tuesday December 14th 8:30 – 9:00

Session 6: Recap/Continuing to Use Data                                                                                                                                          Tuesday December 14th 9:00 – 11:00

Participants will join this session via Zoom, and will require access to high-speed internet and a computer with audio and visual capabilities. After registration you will be sent a Zoom link to join the class day of.
If you have any questions, please contact us at
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