Date: Series start March 9th, 2021
Time: 10:00 am – 11:30 am
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:
- Demonstrate how you can integrate data driven decision making into your everyday work
- Increase your level of data literacy
- 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 March 9th 10:00 - 11:30 Session 1 Office hours: Friday March 12th 9:00 - 11:00
Session 2: Data Collection Tuesday March 16th 10:00 - 11:30 Session 2 Office hours: Friday March 19th 9:00 - 11:00
Session 3: Cleaning & Comprehending Data Monday March 22nd 10:00 - 11:30 Session 3 Office hours: Friday March 26th 9:00 - 11:00
Session 4: Analyzing Data & Combining Data Sources (the more complicated stuff) Tuesday March 30th 10:00 - 11:30 Session 4 Office hours: Friday April 2nd 9:00 - 11:00
Session 5: Visualizing and Sharing Data Tuesday April 6th 10:00 - 11:30 Session 5 Office hours: Friday April 9th 9:00 - 11:00
Session 6: Recap/Continuing to Use Data Tuesday April 13th 10:00 - 11:30