Training Course in Qualitative Data Management and Analysis using ATLAS.ti
This is a practical, hands‑on training course to enable researchers, analysts, and other professionals to effectively manage and analyze qualitative data using the ATLAS.ti software.
Course Overview
| Course Title | Training Course in Qualitative Data Management and Analysis using ATLAS.ti |
| Organization | Tech For Development (T4D) |
| Venue | Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi |
| Duration | 5 days |
| Target Industries |
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| Target Job Roles |
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| Course Fees (Face-to-Face) | USD 1,100/KES 75,000 (Exclusive of VAT) |
| Course Fees (Virtual) | USD 1,000/KES 70,000 (Exclusive of VAT) |
| Training Modes | Virtual and face-to-face training |
| Payment | Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course |
| Accreditation | Tech For Development Certificate of Course Completion |
ATLAS.ti is a leading qualitative data analysis tool used to organize, code, analyze, and visualize unstructured text, audio, video, and image data.
This is a practical, hands‑on training course to enable researchers, analysts, and other professionals to effectively manage and analyze qualitative data using the ATLAS.ti software.
Participants learn to take raw qualitative data inputs, such as interview transcripts, focus‑group discussions, and documents, and transform them into systematically coded, organized datasets.
The training covers:
- Project setup
- Document and file organization
- Data segmentation & quotation management
- Coding strategies and analysis/visualization
This training course is ideal for researchers, analysts, program implementers, journalists, health professionals, and others who work with qualitative data and need qualitative analysis skills.
Duration
5 days
What are the Key Skills from This Course?
- Qualitative data organization and project setup
- Data segmentation and quotation management
- Coding techniques
- Analytical querying and pattern detection
- Visualization and reporting
Who Should Attend This Course?
- Researchers
- Data Collectors
- Research Analysts
- Journalists
- Scientists
- Doctors
- Nurses
- Program implementers
- Program managers
Course Objectives
By the end of this training course, participants will be able to:
- Understand the fundamentals of qualitative data management
- Learn how to organize and code qualitative data using ATLAS.ti
- Gain proficiency in conducting advanced qualitative analyses
- Explore visualization and reporting tools within ATLAS.ti
- Apply qualitative research skills in real-world scenarios through case studies
Course Requirements
• Proficiency in English
• Basic computer literacy
• Familiarity with data processes
Training Approaches
• Interactive lectures
• Live demonstrations
• Hands-on exercises
• Group discussions
• Real-world case studies
• Knowledge checks and quizzes
• Collaborative group work
Course Modules
Course Outline
Module I: Introduction to ATLAS.ti and Project Setup
- Conceptual introduction to ATLAS.ti
- Overview of ATLAS.ti’s capabilities and functionalities
- Setting up a new project in ATLAS.ti (Creating, saving, and commenting)
- Adding and importing documents to the project
- Hands-on Exercise: Create a new project in ATLAS.ti, import qualitative data, and set up the project structure.
Module II: Document Management and Organization
- Understanding project components and objects
- Accessing documents through the drop-down menu, side panel/Navigator, and Manager
- Organizing documents into groups/families
- Commenting on and managing documents
- Hands-on Exercise: Organize a set of documents into groups and families and manage them effectively within the project
Module III: Data Segmentation and Quotation Management
- Defining and applying data segmentation
- Selecting segments and creating free quotations
- Renaming and commenting on quotations
- Writing and linking memos, including using the Research Diary memo
- Case Study: Segment a set of documents, create and manage quotations, and write a reflective memo linking quotations.
Module IV: Coding Strategies and Data Analysis
- Definitions and applications of coding
- Inductive and deductive coding approaches (In vivo coding, Open coding, Free codes)
- Applying coding strategies and managing codes
- Exploring and analyzing data through coding
- Case Study: Apply inductive and deductive coding to a dataset, analyze patterns, and manage codes
Module V: Data Exploration, Visualization, and Reporting
- Exploring semantic linkages between codes
- Using ATLAS.ti’s visualization tools (e.g., linkage graphs, Word Cruncher)
- Analyzing co-occurrences and using the Query Tool
- Generating and interpreting the Code-Document Table
- Case Study: Analyze and visualize coded data using ATLAS.ti tools to identify key insights and patterns.
Course Administration
Methodology
Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.
Accreditation
Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion
Training Venue
The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
Accommodation & Airport Transfer
Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179
Tailor-Made
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.
Payment
Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].
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