Platform for starters in the geo sector

200 courses, 20 online supports, 60 moocs,

10 work to work trajectories,

30 trainees

Course: Atlas.ti

  • Description
  • Planning and Registration

This course lasts 3 days and costs € 1395.

Group discount: If you register several students for this course, a discount of 25% on the 2nd student, 50% on the 3rd student and 75% on the 4th, 5th, 6th, 7th and 8th student.

In this course you will learn to work with Atlas.ti. This is a powerful tool for the qualitative analysis of large amounts of textual, graphic, audio and video data. This tool helps you organize, reassemble and manage your data in a creative, but also systematic way. ATLAS.ti keeps you focused on the material itself. This tool is increasingly used by, for example, the fields of anthropology, economics, criminology and medicine.

This course first introduces some basic concepts that are important to know when working with ATLAS.ti. This is followed by a step-by-step instruction in which the student works with an example project. After learning the main functions of the package, the components of the user interface, the student is guided through the different phases of an analysis process.

The learner will work on building a project, exploring the data, coding, working with comments and memos, requesting data, networking and creating reports. In addition, the student gets to know a number of special options, such as preparing and importing research data and importing Twitter data, for example.


The following topics are discussed:

  • Knowledge Workbench
  • Creative Analysis
  • Interface: ATLASti Ribbon
  • Creating A New Project
  • Adding Documents
  • Removing / Deleting Documents From A Project
  • Data Analysis
  • Organizing Project Data
  • Exploring The Content Of Text Documents
  • Reading Data, Noticing And Marking Interesting Things
  • Creating Reports
  • Working With Comments And Memos
  • Querying Data
  • Creating And Modifying Relations
  • Exporting Networks
  • Importing Survey Data
  • Importing Twitter Data
  • Inspecting Imported Twitter Data

Learning objectives of this course:

After this course, the student can continue working with Atlas.ti in practice, using the examples and exercises he learned during the course.

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