How to analyze Qualitative data
Impress your colleagues, supervisors and employers with your data analysis!
4.34 (894 reviews)
3 879
students
3.5 hours
content
Feb 2023
last update
$64.99
regular price
What you will learn
Analyse qualitative data!
Choose between different approaches to coding, and code the data
Understand the role of previous assumptions in the process of data analysis
Make models, graphs and notes to reflect on your assumptions
Make models, graphs and notes to push the data analysis forward
Understand the structure of qualitative data analysis
Apply a number of analytic steps to conduct within-case and cross-case analysis
Work towards developing a unified theory that links the data
Understand the purpose of coding, when coding starts and when it stops
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Our Verdict
This Udemy course on qualitative data analysis is a clear and engaging introduction for both beginners and those looking to brush up on their skills. With its strong focus on general but solid approaches, users can tailor specific coding techniques to their research projects' needs. However, the lack of visual content, exercises, guidance on writing up results, and diverse examples are areas that could be improved. Nonetheless, it serves as a great starting point in understanding the qualitative data analysis process before diving into specialty software like NVivo.
What We Liked
- The course offers a clear and well-paced introduction to qualitative data analysis concepts.
- Examples and explanations provided are relatable and practical for various research fields.
- Instructor is knowledgeable, providing useful tips and insights into the process with a no-nonsense approach.
- Covers major analytic steps towards developing a unified theory that links the data
Potential Drawbacks
- Limited visual content for some learners; more examples shown as videos would improve understanding.
- Lacks exercises or assignments to practice coding and applying concepts learned.
- The course does not cover writing up results, leaving some learners unclear on how to present their findings.
- Fewer real-world examples that demonstrate analysis for different data types than interviews.
Related Topics
2002300
udemy ID
01/11/2018
course created date
28/07/2020
course indexed date
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