At the end of this micro-course, learners should be able to:
- Write a structured literature review by explaining the steps in the review process—problem identification, source selection, synthesis, and analysis—using proper academic writing style.
- Use advanced search skills like Boolean logic, filters, and citation tracking to find journal articles, with at least 90% of them being relevant.
- Search five quality OERs and three online databases related to your research topic, making sure they match your study framework.
- Analyze at least 30 articles using tools like citation analysis or thematic mapping, and create a report that shows key trends and research gaps.
- Facilitator: Jan Cynth Palama
Welcome to this micro-course on Data Visualization! In this course, you will explore various visualization tools and techniques that transform raw data into meaningful insights. By the end of the micro-course, you should be able to explain the features and uses of digital visualization tools, create at least three data visualizations using selected tools to communicate key findings from a dataset, and use visualizations to highlight trends and insights from data.
By the end of this micro-course, you will be able to:
1. Interpret research data by applying the stages of the data analysis cycle—data collection, processing, and interpretation.
2. Use at least four online tools to perform basic statistical tests.
3. Compare and contrast digital tools for qualitative analysis by coding, grouping, and identifying patterns in the data.
At the end of this micro-course, learners should be able to:
- Explain the features and uses of digital visualization tools.
- Create at least three (3) data visualizations using selected tools to communicate key findings from a dataset.
- Use visualizations to highlight trends and insights from data.
