Research and Data Analysis

Thematic Analysis and Advanced Coding for Qualitative Data Training Course

Introduction

Thematic Analysis and Advanced Coding for Qualitative Data Training Course is designed to empower researchers, analysts, and professionals with the skills needed to extract rich insights from qualitative datasets. Through this course, participants will gain hands-on experience in thematic analysis, codebook development, advanced coding frameworks, and the use of qualitative data analysis (QDA) software like NVivo, ATLAS.ti, and MAXQDA. The training is suitable for both novice and experienced qualitative researchers seeking to master the art of rigorous qualitative data interpretation and theory-building.

This course emphasizes applied learning, interactive workshops, and real-world case studies to help learners navigate the complexities of coding interviews, focus group discussions, open-ended survey responses, and field notes. With increasing demand for data-driven decision-making, this course addresses current industry and academic trends such as machine-assisted qualitative analysis, mixed methods integration, and automated coding reliability techniques, providing participants with future-ready qualitative research skills.

Programme Curriculum

Thematic Analysis and Advanced Coding for Qualitative Data Training Course

Introduction

Course Objectives

By the end of the training, participants will be able to:

Define and apply thematic analysis in qualitative research.
Develop and manage codebooks for structured qualitative analysis.
Utilize advanced manual and software-assisted coding techniques.
Apply grounded theory and inductive/deductive frameworks.
Evaluate intercoder reliability and resolve coding discrepancies.
Implement QDA tools like NVivo, MAXQDA, and ATLAS.ti efficiently.
Conduct mixed-methods integration with qualitative coding output.
Create visual reports and thematic maps from coded data.
Understand ethical considerations in coding qualitative data.
Analyze longitudinal qualitative data using advanced techniques.
Use AI-enhanced tools for thematic extraction and auto-coding.
Translate thematic findings into actionable insights and reports.
Build publication-ready qualitative research outputs.

Target Audiences

Academic researchers in social sciences and humanities
Program evaluators and monitoring specialists
Public health and healthcare analysts
NGO project officers and development professionals
Market and user experience researchers
Graduate students conducting qualitative dissertations
Policy researchers and education analysts
Journalists and media analysts working with qualitative data

Course Duration: 5 days

Course Modules

Module 1: Introduction to Thematic Analysis

Definition and principles of thematic analysis
Inductive vs. deductive coding approaches
Role of researcher reflexivity and subjectivity
Common pitfalls and how to avoid them
Manual thematic analysis workflow
Case Study: Thematic analysis of focus group transcripts in education

Module 2: Developing a Codebook

Understanding open, axial, and selective coding
Creating a robust and adaptable codebook
Operationalizing codes and defining categories
Testing and revising codes iteratively
Coding consistency across team members
Case Study: Codebook development for community health interviews

Module 3: Software-Assisted Qualitative Analysis (NVivo, MAXQDA, ATLAS.ti)

Introduction to top QDA tools
Importing, organizing, and coding data
Linking codes to data excerpts and memos
Query functions and code retrieval
Data visualization and code frequency mapping
Case Study: NVivo analysis of NGO project reports

Module 4: Advanced Coding Techniques

Hierarchical coding and nested themes
Using in-vivo codes and theoretical codes
Auto-coding and pattern recognition
Managing large qualitative datasets
Analytical memoing and theory building
Case Study: Axial coding of life history interviews

Module 5: Intercoder Reliability and Validation

Importance of reliability in coding
Techniques to assess intercoder agreement (e.g., Cohen's Kappa)
Collaborative coding processes
Consensus building in teams
Documenting reliability metrics
Case Study: Coding consistency in a multi-site ethnographic project

Module 6: Mixed Methods Integration

Qual-quant integration strategies
Joint display and data triangulation
Embedding codes in statistical frameworks
Integrating survey data with thematic codes
Challenges and benefits of mixed methods
Case Study: Merging interview themes with survey results in a policy study

Module 7: AI and Automation in Qualitative Coding

AI-assisted thematic discovery tools
Sentiment analysis and auto-tagging
Natural language processing for qualitative data
Ethical implications of machine coding
Comparing human vs. AI-coded themes
Case Study: Using AI tools for rapid analysis in public health research

Module 8: Reporting and Presenting Coded Data

Transforming codes into themes and insights
Writing qualitative findings for reports and papers
Visualizing themes with models and matrices
Using coded data in recommendations and strategies
Best practices for publishing qualitative results
Case Study: Thematic analysis write-up for a donor evaluation report

Training Methodology

Hands-on coding labs using real-world data
Live demonstrations of NVivo, MAXQDA, and ATLAS.ti
Interactive group activities and collaborative analysis
Peer review sessions for code validation
Step-by-step coding practice with expert guidance
Real-time feedback and assessment of learning outcomes

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Thematic analysis coding qualitative research

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000