Dear All
Indepth Research Services would like to invite you take a course on Analysis of Qualitative Data using QDA Miner Course . Are you interested in 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.
DURATION
5 days
WHO SHOULD ATTEND?
QDA Miner qualitative data analysis software can be used by anyone who needs to code text or pictures, annotate, search, explore and extract information from small or large collections of documents and images, including:
- Researchers in social sciences, medicine, and psychology
- Sociologists, political scientists and ethnographers
- Business intelligence analysts, market researchers, pollsters, and CRM professionals
- Crime analysts, fraud detection experts, lawyers, and paralegal professionals
- Journalists, historians and research assistants
- Document management specialists and librarians
LEARNING OBJECTIVES
By the end of the training, participants will become proficient in:
- Data and Text Management
- Project Management Tasks
- Coding Documents and Images
- Coding analysis
Other dates and venue of course
Kenya
Nairobi, Kenya 23-03-2020 27-03-2020 Apply now
Nairobi, Kenya 27-07-2020 31-07-2020 Apply now
Nairobi, Kenya 26-10-2020 30-10-2020 Apply now
Rwanda
Kigali, Rwanda 17-02-2020 21-02-2020 Apply now
Kigali, Rwanda 11-05-2020 15-05-2020 Apply now
Kigali, Rwanda 24-08-2020 28-08-2020 Apply now
For any enquiries, feel free to engage us at [email protected] or contact us on (+254) 715 077 817 or +250 789 621 067
Best Regards