Some key aspects of data management and analysis for qualitative data using NVivo include:
Importing and coding data: This involves bringing data into NVivo and organizing it into meaningful categories or codes, which can be used to analyze the data.
Creating and managing nodes and classifications: Nodes and classifications are used to group and organize data in NVivo, and this aspect of the course would cover how to create and manage these different structures.
Text search and query tools: NVivo includes a variety of tools for searching and querying data, and this aspect of the course would cover how to use these tools effectively to find relevant information.
Creating and analyzing visualizations: NVivo includes a variety of visualization tools that can be used to display data in a more meaningful way. This aspect of the course would cover how to create and analyze these visualizations.
Advanced analysis techniques: NVivo includes a variety of advanced analysis techniques, such as content analysis and thematic analysis. This aspect of the course would cover how to use these techniques to extract insights from the data.
Data management best practices: this aspect of the course would cover best practices for data management, such as how to organize and store data, how to ensure data quality, and how to collaborate with others on a project.
Overall, the course would aim to provide participants with the skills and knowledge needed to effectively use NVivo for qualitative data analysis, by providing hands-on experience and real-world examples.
