About the Course
Modern organizations need more than anecdotes and summaries. They need structured qualitative evidence that can stand up to scrutiny from management, donors, auditors, regulators, boards, and partners. This course turns qualitative analysis from “research language” into a practical workflow you can use immediately at work.
Participants will produce tangible outputs such as a clean ATLAS.ti project with organized data sources, a codebook aligned to objectives and indicators, a coded dataset with transparent logic, themes, relationships, and insights supported by evidence, visual outputs (networks, code co-occurrence, word explorations where appropriate), and a short findings brief with credible quotations and traceability.
You will learn how to import and manage data, design a coding strategy, build a reusable codebook, apply coding consistently, test reliability in team settings, run queries, compare groups, and translate results into clear reports and presentations.
Target Audience
This course is for professionals across various sectors who need to leverage qualitative data effectively.
This course is designed for:
- Monitoring, Evaluation, Research, and Learning (MERL/M&E) officers and program teams
- NGO and donor-funded project staff writing evidence-based reports
- Policy, planning, and public sector staff analyzing stakeholder feedback and consultations
- HR teams analyzing staff surveys, engagement feedback, and exit interviews
- Customer experience teams analyzing customer complaints, reviews, and call-center notes
- Market research and insights teams working with focus groups and interviews
- Compliance and risk teams analyzing incidents, investigations, and case narratives
- Academic and institutional researchers working with qualitative datasets
- Consultants supporting evaluations, baseline studies, needs assessments, and learning reviews
- Anyone expected to turn qualitative data into defensible decisions and reports
Course Objectives
This course equips you to manage, analyze, and report qualitative evidence using ATLAS.ti in a way that is organized, consistent, and defensible.
By the end of this course, you'll be able to:
- Understand the purpose and value of qualitative data management and analysis in decision-making
- Set up an ATLAS.ti project that is clean, secure, and easy to audit
- Import, organize, and structure qualitative datasets (text, audio, PDFs, survey responses)
- Design a practical coding approach aligned to study questions and organizational goals
- Build and maintain a codebook for consistent and scalable analysis
- Code data efficiently and accurately using ATLAS.ti tools and workflows
- Run queries, comparisons, and analysis outputs that support clear findings
- Communicate insights through evidence-backed narratives, visuals, and reporting structures
Requirements & Prerequisites
Participants should have a basic understanding of qualitative research methods and access to ATLAS.ti software. Familiarity with qualitative datasets and a desire to enhance analysis skills are recommended.
Professional and Organizational Impact
When you can manage and analyze qualitative data with discipline, you become the person leadership trusts when evidence matters.
As a participant, you will benefit by:
- Analyze qualitative data faster without losing meaning or context
- Produce traceable findings you can defend with direct evidence
- Improve consistency in coding and interpretation across teams
- Reduce the chaos of manual thematic analysis in Word/Excel
- Build practical skills in ATLAS.ti that transfer across projects and sectors
- Strengthen your reporting credibility with clear audit trails and quotations
- Increase your influence in program learning, strategy, service improvement, and policy discussions
- Deliver cleaner insights that inform action, not just documentation
Organizations that manage qualitative evidence well learn faster, report better, and make smarter decisions.
Your organization will benefit from:
- Faster analysis turnaround for reports, evaluations, and stakeholder feedback cycles
- Better evidence quality through consistent coding and transparent methods
- Stronger accountability to donors, auditors, boards, and decision-makers
- Improved learning and adaptation based on structured insights
- Reduced duplication and rework through reusable codebooks and templates
- Better cross-team collaboration using standardized qualitative workflows
- Clearer stakeholder communication backed by credible quotations and themes
- Stronger institutional memory through well-archived qualitative projects
Training Methodology
This is a practical, outcome-driven course designed to turn ATLAS.ti into your daily qualitative analysis engine.
Methodology includes:
- Hands-on project setup using real-world qualitative datasets
- Step-by-step guided exercises (import, organize, code, query, report)
- Sector-based scenarios (NGO evaluations, public consultations, customer feedback, HR surveys)
- Individual and group practice for building codebooks and applying codes consistently
- Case studies showing how qualitative insights influence decisions and improve performance
- Reusable templates: project structure, coding plan, codebook, analysis memo, reporting outline
- Reflection prompts that challenge weak analysis habits and strengthen evidence discipline
- Practical assignments that result in a mini-analysis and findings brief
Upcoming Sessions
Next available dates worldwide
Certification
Recognized credentials that advance your career
Participants who complete the Qualitative Data Management and Analysis Using ATLAS.TI Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.
NITA Accredited
Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.
CPD Certified
Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.
Why this course earns its place on your CV
Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.
Skills Relevance
- Master ATLAS.ti to elevate your qualitative research with cutting-edge techniques.
- Acquire expert data coding skills to boost your analysis efficiency.
- Transform raw data into compelling insights using advanced ATLAS.ti tools.
Expert Delivery
- Learn from seasoned researchers with years of real-world ATLAS.ti application.
- Engage in hands-on exercises that mirror actual research scenarios.
- Benefit from personalized feedback to refine your data analysis strategies.
Career Advancement
- Enhance your resume with specialized ATLAS.ti proficiency, sought after in academia and industry.
- Position yourself as an expert in qualitative analysis, opening doors to advanced research roles.
- Gain a competitive edge in job markets that value rigorous data handling skills.
