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Data Management and Analysis for Qualitative Data using NVIVO Training

Home Data Analysis Courses Data Management and Analysis for Qualitative Data using NVIVO Training

Introduction

The Data Management and Analysis for Qualitative Data using NVIVO Training is a comprehensive 5-day professional course designed to equip participants with practical skills to organize, manage, analyze, and interpret qualitative data using NVIVO software. The training focuses on real-world qualitative research applications, including interviews, focus group discussions, open-ended surveys, documents, audio, and visual data.

Participants will gain hands-on experience in qualitative data coding, thematic analysis, data visualization, and reporting, enabling them to produce credible, evidence-based insights for research, monitoring and evaluation, policy analysis, and program decision-making.

 

Learning Objectives

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

  1. Understand qualitative research concepts and data analysis principles
  2. Import, organize, and manage qualitative data in NVIVO
  3. Apply systematic coding techniques and develop codebooks
  4. Conduct thematic and content analysis using NVIVO tools
  5. Analyze relationships, patterns, and trends within qualitative data
  6. Visualize qualitative findings using NVIVO charts and models
  7. Generate high-quality analytical reports and outputs

Important Dates
Classroom Training Calendar

START DATEEND DATEREGISTRATION
DEADLINE
COURSE COSTClick to Apply.
Jan 12, 2026Jan 16, 2026Jan 7, 2026USD 1000 / KES 102,000Register
Feb 16, 2026Feb 20, 2026Feb 10, 2026USD 1000 / KES 102,000Register
Mar 23, 2026Mar 27, 2026Mar 17, 2026USD 1000 / KES 102,000Register
Apr 20, 2026Apr 24, 2026Apr 15, 2026USD 1000 / KES 102,000Register
May 25, 2026May 29, 2026May 19, 2026USD 1000 / KES 102,000Register
June 22, 2026June 26, 2026June 17, 2026USD 1000 / KES 102,000Register
July 20, 2026July 24, 2026July 15, 2026USD 1000 / KES 102,000Register
Aug 24, 2026Aug 28, 2026Aug 19, 2026USD 1000 / KES 102,000Register
Sep 21, 2026Sep 25, 2026Sep 17, 2026USD 1000 / KES 102,000Register
Oct 19, 2026Oct 23, 2026Oct 14, 2026USD 1000 / KES 102,000Register
Nov 23, 2026Nov 27, 2026Nov 17, 2026USD 1000 / KES 102,000Register
Dec 14, 2026Dec 18, 2026Dec 9, 2026USD 1000 / KES 102,000Register

Online Training Calendar

START DATEEND DATEREGISTRATION
DEADLINE
COURSE COSTClick to Apply.
Jan 19, 2026Jan 23, 2026Jan 14, 2026USD 500 / KES 56,000Register
Feb 16, 2026Feb 20, 2026Feb 11, 2026USD 500 / KES 56,000Register
Mar 9, 2026Mar 13, 2026Mar 4, 2026USD 500 / KES 56,000Register
Apr 13, 2026Apr 17, 2026Apr 8, 2026USD 500 / KES 56,000Register
May 11, 2026May 15, 2026May 6, 2026USD 500 / KES 56,000Register
June 8, 2026June 12, 2026June 3, 2026USD 500 / KES 56,000Register
July 6, 2026July 10, 2026July 1, 2026USD 500 / KES 56,000Register
Aug 3, 2026Aug 7, 2026July 28, 2026USD 500 / KES 56,000Register
Sept 7, 2026Sept 11, 2026Sept 2, 2026USD 500 / KES 56,000Register
Oct 5, 2026Oct 9, 2026Oct 1 2026USD 500 / KES 56,000Register
Nov 2, 2026Nov 6, 2026Oct 27, 2026USD 500 / KES 56,000Register
Dec 7, 2026Dec 11, 2026Dec 2, 2026USD 500 / KES 56,000Register

Course Outline

Day 1: Introduction to Qualitative Data Analysis & NVIVO

  • Overview of qualitative research approaches
  • Types of qualitative data and sources
  • Introduction to NVIVO interface and features
  • Creating and managing NVIVO projects
  • Importing text, audio, video, and image data
  • Data organization and preparation best practices

 

Day 2: Coding Techniques and Codebook Development

  • Concepts of coding in qualitative analysis
  • Manual and automatic coding in NVIVO
  • Creating and managing nodes (codes)
  • Developing and refining codebooks
  • Coding interviews, FGDs, and open-ended responses
  • Practical exercise: Coding sample qualitative datasets

 

Day 3: Thematic Analysis and Data Exploration

  • Identifying themes and patterns
  • Query tools in NVIVO (text search, word frequency, coding queries)
  • Comparing themes across cases and attributes
  • Case classifications and demographic variables
  • Exploring relationships and co-occurrence of codes
  • Practical exercise: Thematic analysis using NVIVO

 

Day 4: Data Visualization, Interpretation & Validation

  • Visualizing qualitative data (charts, models, maps, word clouds)
  • Matrix coding queries and cross-case analysis
  • Interpreting and validating qualitative findings
  • Ensuring reliability and credibility in qualitative analysis
  • Integrating qualitative findings into research and M&E frameworks
  • Practical exercise: Visualizing and interpreting results

 

Day 5: Reporting, Advanced Features & Best Practices

  • Exporting results and reports from NVIVO
  • Advanced NVIVO features (framework matrices, sentiment analysis)
  • Managing large qualitative datasets
  • Best practices for qualitative data management and ethics
  • Linking qualitative findings to decision-making
  • Course review, assessment, and certification

 

Targeted Participants

This training course is suitable for:

  • Researchers and Academics
  • Monitoring and Evaluation (M&E) Officers
  • Social Scientists and Policy Analysts
  • NGO and Development Program Staff
  • Data Analysts and Research Assistants
  • Consultants conducting qualitative studies
  • Graduate students and professionals involved in qualitative research

More Details

Training Approach

Our experienced instructors, who are seasoned experts in their respective fields, lead this course. It combines theoretical instruction with hands-on activities, group exercises, and real-world case studies. Participants also receive comprehensive training manuals and supplementary reference materials.

Certification

Upon successful completion of the course, all participants will be issued a certificate of completion at no extra cost.

Tailor-Made Course

We can also do this as a tailor-made course to meet organizational-specific needs.

Contact Us Now training@wise-gis.com

Group Discount

We offer 10% – 20% discount to groups of more than 5 participants.

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