Qualitative Data Analysis using QDA Miner Course


QDA Miner is a useful tool for qualitative data analysis of interview or focus group transcripts, legal documents, journal articles, speeches, even entire books, as well as drawings, photographs, paintings, and other types of visual documents. QDA Miner is an easy-to-use qualitative data analysis software package for coding, annotating, retrieving and analyzing small and large collections of documents and images. Its seamless integration with SimStat, a statistical data analysis tool, and WordStat, a quantitative content analysis and text mining software, gives you unprecedented flexibility for analyzing text and relating its content to structured information including numerical and categorical data.

Course Objectives

At the end of the course, the participants will be able to:

  • Appreciate data analytics in a decision support role
  • Explain the scope and structure of data analytics
  • Apply a cross-section of useful data analytics
  • Interpret meaningfully and critically assess statistical evidence
  • Identify relevant applications of data analytics in practice


5 Days

Who Should Attend?

This course targets employees in the information technology department, managers, and all supervisors in all departments. The course also targets new start-ups that want to learn about information security to ensure their information is protected.

Course Content

Module 1

Introduction to qualitative data analysis

  • Theoretical frameworks: grounded theory, distributed cognition, activity theory
  • Presenting the findings: rigorous notations, stories, summaries

Introduction to QDA Miner

  • Installation Instructions
  • Project Structure
  • The Working Environment

Data and Text Management

  • Opening an Existing Project
  • Creating a Project from a List of Documents
  • Creating a Blank Project
  • Importing an Existing Data File
  • Importing Existing Documents as a New Project
  • Project Description and Notes
  • Working with Menu Levels
  • Security & Multi-users Settings

Managing Variables

  • Adding New Variables
  • Appending Variables from an External Data File
  • Deleting Existing Variables
  • Changing Variable Types
  • Recoding Values
  • Editing Variable Properties
  • Computing Variables Statistics

Managing Cases

  • Adding and Deleting Cases
  • Appending New Documents and Images
  • Adding New Cases from a Data File
  • Filtering Cases

Module 2

Project Management Tasks

  • Creating a Duplicate copy of a project
  • Sending a Project by E-mail
  • Exporting Selected Cases to a New Project
  • Exporting Coded Segments
  • Exporting Documents
  • Setting the Cases Descriptor and Grouping
  • Importing a Document into a Case
  • Importing an Image in a Case
  • Archiving a Project
  • Using the Temporary Session Backup
  • Merging Projects
  • Clearing all code assignments
  • Retrieving Misplaced Codes
  • Using the Command Log

Managing the Codebook

  • Adding a Code
  • Modifying Codes
  • Deleting Existing Codes
  • Moving Codes
  • Splitting a Code
  • Merging Codes
  • Virtually grouping codes
  • Importing a Codebook
  • Printing the Codebook

Module 3

Coding Documents and Images

  • Assigning Codes to Text Segments
  • Assigning Codes to Images
  • Working with Code Marks
  • Attaching a Comment to a Coded Segment
  • Removing Coded Segments
  • Changing the Code Associated with a Segment
  • Resizing Coded Segments
  • Hiding Code Marks
  • Highlighting and Hiding Coded Segments
  • Modifying Code Mark Color Scheme
  • Searching and Replacing Codes
  • Consolidating Coded Segments

Module 4

Coding Analysis

  • Saving and Retrieving Queries
  • Text Retrieval
  • Thesaurus Editing
  • Queby by Example
  • Section Retrieval
  • Keyword Retrieval
  • Coding Frequencies
  • Coding Retrieval
  • Coding Co-occurrences
  • Clustering Cases
  • Clustering Codes
  • Dendrogram
  • 2d and 3d Concept Maps
  • Proximity Plot
  • Code Sequence Analysis
  • Coding by Variables
  • Barchart or Line Chart
  • Heatmap Plot

Module 5

Coding Analysis (c’tnd)

  • Correspondence Analysis
  • Bubble Charts
  • Assessing Inter-coders Agreement
  • Content Analysis
  • Statistical Analysis
  • Automatic Text Classification
  • Storing Code Statistics into Numeric Variables
  • Exporting Code Statistics
  • Exporting Co-occurrence or Similarity Matrix
  • Retrieving a List of Comments
  • Coding Text Segments Using the Coding Table
  • Managing Outputs with the Report Manager



The training methodology combines lectures, discussions, group exercises and illustrations. Participants will gain both theoretical and practical knowledge of the topics. The emphasis is on the practical application of the topics and as a result participant will go back to the workplace with both the ability and the confidence to apply the techniques learned to their duties. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.


Upon successful completion of this training, participants will be issued with an Livecode Technologies Limited certificate.


The training is residential and will be held at livecodeTraining Centre. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.


Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it..

Mob: +254 725771853


Training Fees

The course fees is KES 65,000.00 or USD 900.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.


Payment should be transferred to Livecode Technologies account through bank on or before the training date.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.


Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

  1. Participants may cancel attendance 14 days or more prior to the training commencement date.
  2. No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Date 02-06-2023 8:00 am
Event End Date 02-10-2023 5:00 pm
Registered 0
Cut off date 02-02-2023
Individual Price $900
Location Nairobi, Kenya
We are no longer accepting registration for this event
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