Data analysis and manipulation usually begins with a spreadsheet. If you work with your own data or advise researchers on theirs, you’ll want to get started right. In this webinar, you’ll learn how to prepare your spreadsheet and format your data to serve later analyses. You’ll learn best practices for curating data, identifying and addressing common data problems, and preparing data for analysis and use. And you’ll learn when spreadsheets may not be the best place to start. Presenters will demonstrate best practices using medical data from a hypothetical pharmacokinetics study.
Course to be held at the Midwest Chapter Meeting. See more at: https://mcmla45.wildapricot.org/event-5757454
This is an elective for the Level II of the Data Services Specialization.
Learning Outcomes
At the end of the webinar, participants will be able to:
- Identify when spreadsheets are useful and when they are not
- Assess when a task should not be done in spreadsheet software.
- Identify the features of clean & tidy dataset
- Identify common data problems
Audience
Medical librarians and other health information professionals who provide or plan to provide data services. Familiarity with spreadsheets is helpful.
MLA CE: 1.5
Course Content
Course Includes
- 2 Lessons
- Course Certificate