ATLAS.ti is qualitative data analysis software designed to help manage and analyze non-numerical data such as text, video, audio, and graphics. ATLAS.ti supports a variety of analytical approaches, assisting users to systematically analyze their qualitative data. ATLAS.ti provides common analytical tools such as codes and memos along with more powerful tools to explore data, work in teams, and advance one’s analysis.
ATLAS.ti Short Course
Date: May 17, 2017
Time: 1:00 pm – 4:30 pm
Location: AMC Library,
Teaching Lab 2
Class size: 20
(Only registered participants can attend)
No cost to participants
ATLAS.ti Short Course
Douglas Fernald, MA, Senior Instructor, Department of Family Medicine,
CU Denver – Anschutz Medical Campus Phone 303.724.9705
The Beginner Short Course is a 1-day introductory course for users with no ATLAS.ti experience or users with limited experience who seek a foundational understanding of the software’s 1) capabilities, 2) interface, 3) features, 4) basic techniques to use the software for analyzing qualitative data. This course is at no cost to participants.
These are not methods courses on qualitative data analysis. This is training on the Windows version of ATLAS.ti.
Also, please note that one must be a member or become a CCTSI member (membership is free) in order to attend any of the above short courses.
Beginner Short Course
- Short introduction to using computers for qualitative data analysis
- Software overview
- Getting ready
- Working with text data
- Basic coding techniques
- Memoing and commenting
- Families and Filters
- Basic data management
- Looking ahead
Qualitative Methods: basic knowledge of qualitative data and analysis methods.
General computer skills: Experience using windows and mouse (point-and-click) interface (Mac or PC); experience using word processing documents; some knowledge of file types including text documents and some video and audio files.
ATLAS.ti skills: Beginner Course: none. Intermediate Course: Beginner Course or other Atlas.ti experience using primary documents, codes, families, filters , memos, comments, navigating objects, generating output, and must have own dataset to work on.
Important note about data confidentiality: When using your own data in the classroom setting, please be sure to take any steps necessary to ensure the confidentiality of your data. While you do not have to display your data to others if you choose not to, it may limit the instructor’s ability to provide effective instruction.
The Beginner Short Course will be both lecture and interactive; the Intermediate Short Course will be lecture and interactive learning, including one-on-one instruction.
Computers in the Lab will have ATLAS.ti software installed for the classroom sessions. Download a free trial version of the ATLAS.ti software. We recommend participants in the Intermediate Short Course have a fully-licensed version of the software.