Live Online Qualitative Data Management and Analysis Using ATLAS.TI Training Course
Live online, instructor-led · next cohort Nov 30, 2026 · from USD 800
Interviews, focus groups and open-ended responses hold rich insight, but hundreds of pages of transcripts quickly become unmanageable without a disciplined workflow. ATLAS.ti supports that discipline while leaving interpretation firmly in the researcher's hands. You start with qualitative research principles and how to plan data management, file naming, transcription standards and ethics before any coding begins. Project management sessions cover creating projects, importing text, audio, video, images and survey data, document groups, memos and team collaboration.
Coding sessions move from open and in vivo coding to building a structured codebook, code groups and hierarchies, using thematic, grounded theory and framework approaches. You will then use the code co-occurrence table, code-document table, query tool and networks to explore relationships and test emerging ideas. Interpretation and reporting days focus on writing up themes with evidence, ensuring trustworthiness and exporting outputs. The final session looks at AI-assisted coding features and their limits. Experienced qualitative researchers, evaluators, postgraduate students and social scientists will find it practical. By the end you can manage a complete qualitative project in ATLAS.ti and produce findings that withstand scrutiny.
At a Glance
How Live Online Training Works
Live online training, led by a trainer in real time, for participants anywhere.
More about live online training →- Format
- Live online, instructor-led
- Duration
- Mon - Fri (5 Days)
- Fee
- USD 800 (KES 80,000)
- Next start dates
- Nov 30, 2026, Dec 28, 2026, Jan 4, 2027
- Certificate
- Certificate of Completion
- What you need
- A computer with a reliable internet connection, a webcam and a headset
About this course
This practical and interactive training focuses on helping professionals strengthen qualitative data management and analytical capabilities that improve evidence generation, interpretation quality, and informed decision-making. The course explores qualitative research approaches, coding methods, thematic analysis techniques, information organization processes, interpretation strategies, and reporting practices. Participants will gain practical skills for organizing qualitative datasets, developing analytical structures, identifying emerging themes, and supporting evidence-based actions.
Throughout the programme, participants work through realistic scenarios drawn from technology organizations, digital transformation programmes, data-driven enterprises, and public sector IT environments, examining how qualitative data management and analysis using ATLAS.TI is applied in practice and where it most often breaks down. Delegates will develop practical skill in designing appropriate frameworks, selecting and applying the right tools for interpretation and reporting, interpreting findings, and communicating conclusions clearly to colleagues, management and external stakeholders. Sessions move deliberately from principles to application, so that each technique introduced is practised against a realistic problem before the programme moves on — strengthening both individual effectiveness and the wider capability of the organizations delegates return to.
Training Objectives
- Develop structured systems for managing qualitative datasets and analytical workflows.
- Analyze qualitative information using coding techniques and thematic interpretation approaches.
- Design analytical structures that strengthen organization and retrieval of research information.
- Evaluate qualitative findings and transform evidence into actionable insights.
- Utilize qualitative analysis tools, coding systems, and interpretation techniques effectively.
- Integrate qualitative evidence into organizational research and decision-making systems.
- Strengthen evidence utilization through structured qualitative analysis practices.
What you'll learn
Key Takeaways
By the end of the Qualitative Data Management and Analysis Using ATLAS.TI Training Course, participants will leave with:
- Comprehensive understanding of qualitative information management and analytical methodologies.
- Enhanced ability to organize and interpret complex qualitative datasets effectively.
- Improved competency in coding structures, thematic analysis, and evidence interpretation.
- Practical techniques for transforming narratives into meaningful analytical insights.
- Greater confidence in conducting structured qualitative analysis processes.
- Stronger capability to support planning and decisions through qualitative evidence.
- Improved approaches for strengthening research quality and information utilization.
Training Methodology
This training course adopts a research-focused and participant-centered learning approach that strengthens qualitative analysis expertise, evidence-generation capabilities, and information interpretation competencies. The methodology combines specialist guidance, practical analytical applications, and internationally recognized qualitative research practices to support effective research outcomes.
Methodology includes:
- Expert-led sessions facilitated by qualitative research specialists, data analysts, and information management professionals.
- Practical application of coding techniques, thematic analysis methods, and qualitative interpretation approaches.
- Real-world case studies drawn from research institutions, development programs, social initiatives, and organizational environments.
- Tool-based demonstrations of ATLAS.ti functionalities, coding environments, and qualitative information management systems.
- Interactive discussions and scenario-based learning focused on research challenges, evidence interpretation, and analytical decision-making.
Day 1: Qualitative Research Environment and Information Management
- Strategic Importance of Qualitative Research in Organizations.
- Principles of Qualitative Inquiry and Evidence Generation.
- Types of Qualitative Information Sources.
- Understanding Narrative and Textual Data Structures.
- Research Ethics and Information Confidentiality.
- Qualitative Research Planning Considerations.
- Emerging Trends in Qualitative Research Practices.
Day 2: Data Organization and Project Management Approaches
- Managing Qualitative Information Workflows.
- Organizing Research Materials and Documentation.
- Structuring Interviews and Discussion Records.
- Information Categorization and Classification Techniques.
- Managing Large Qualitative Datasets.
- Establishing Analytical Framework Structures.
- Strengthening Information Quality Practices.
Day 3: Coding and Qualitative Analysis Techniques
- Principles of Coding and Data Interpretation.
- Open Coding and Structured Coding Approaches.
- Development of Categories and Conceptual Themes.
- Pattern Recognition and Relationship Mapping.
- Building Analytical Networks and Associations.
- Comparative Analysis Techniques.
- Organizing Emerging Findings.
Day 4: Interpretation and Reporting Processes
- Thematic Analysis and Insight Development.
- Identifying Trends and Meaningful Relationships.
- Interpretation of Research Findings.
- Developing Analytical Narratives and Conclusions.
- Reporting Qualitative Evidence Effectively.
- Visual Presentation of Analytical Findings.
- Strengthening Evidence-Based Recommendations.
Day 5: Digital Analysis and Future Research Trends
- Integrating Digital Technologies into Qualitative Analysis.
- Knowledge Management and Information Sharing.
- Emerging Innovations in Qualitative Research.
- Advanced Interpretation and Analytical Approaches.
- Collaboration and Research Team Workflows.
- Quality Assurance and Validation Practices.
- Building Sustainable Qualitative Research Systems.
- Researchers and Research Coordinators.
- Monitoring and Evaluation Specialists.
- Social and Development Practitioners.
- Data and Information Analysts.
- Project and Program Managers.
- Policy and Planning Officers.
- Academic and Research Institution Personnel.
Participants will receive a Certificate of Completion for completing the Qualitative Data Management and Analysis Using ATLAS.TI Training, issued by VISION REACH GLOBAL CONSULTANCY.
The award recognizes full attendance and successful completion of the programme assessment activities. It is widely accepted for continuing professional development purposes, and its authenticity can be confirmed with Vision Reach Global Consultancy at any time.
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Frequently Asked Questions About Live Online Qualitative Data Management and Analysis Using ATLAS.TI Training Course
Everything you need to know about this course before you register.
By the end of the Qualitative Data Management and Analysis Using ATLAS.TI programme, you'll be able to understand core qualitative data management and analysis using atlas.ti principles and how they fit together in practice, apply practical techniques for interpretation and reporting in day-to-day implementation, strengthen evaluation, reporting and quality-assurance capability, and improve decision-making using evidence-driven performance information. The full breakdown of topics is covered session by session in the Course Outline tab above.
This course is designed for Researchers and Research Coordinators., Monitoring and Evaluation Specialists., Social and Development Practitioners., Data and Information Analysts., Project and Program Managers., Policy and Planning Officers., and Academic and Research Institution Personnel..
Qualitative Data Management and Analysis Using ATLAS.TI Training Course typically runs as 5 Days. It's available as in-house corporate, in-person classroom, and live virtual training — every course can also be delivered on-site for your team on dates that suit you.
Qualitative Data Management and Analysis Using ATLAS.TI Training Course is scheduled in-classroom in Nairobi, Kenya, Mombasa, Kenya, Kisumu, Kenya, and Naivasha, Kenya, and 14 other locations, plus a live interactive virtual classroom you can join from anywhere. Check the schedule panel above for exact upcoming dates and fees in each location.
The next live virtual cohort of Qualitative Data Management and Analysis Using ATLAS.TI starts November 30, 2026, with new classroom cohorts also running on a rolling basis. Pick a date and location in the schedule panel above, then click "Register for the Course" — it takes a few minutes and your seat is confirmed once payment or a signed purchase order is received.
Yes — delegates who meet the attendance requirement receive a Certificate of Completion for Qualitative Data Management and Analysis Using ATLAS.TI Training Course from Vision Reach Global Consultancy, issued in the name you register with, so double-check the spelling at checkout.
Qualitative Data Management and Analysis Using ATLAS.TI Training Course is pitched at advanced professionals. If you're unsure whether it's the right fit for your current role or background, message our training advisors before you register and they'll help you confirm.
Fees for Qualitative Data Management and Analysis Using ATLAS.TI Training Course vary by delivery location and format and are shown in real time in the schedule panel above once you pick a date. Register 3 or more delegates on the same course together and a 5% team discount is applied automatically — larger cohorts can request a custom corporate quote.
Yes — Qualitative Data Management and Analysis Using ATLAS.TI Training Course can be delivered on-site at your offices (or virtually for distributed teams), with case studies and examples tailored to your industry and the specific challenges your team is working through. Switch to the "In-House" tab in the schedule panel above to request a proposal.
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