Lesson Schedule

1. Introduction	How is OpenRefine useful?
2. Opening and Exploring Data	How can we import our data into OpenRefine? How can we summarise our data? How can we find errors in our data? How can we edit data to fix errors? How can we convert column data from one data type to another?
3. Transforming Data	How can we transform our data to correct errors?
4. Filtering and Sorting Data	How can we select only a subset of our data to work with? How can we sort our data?
5. Exporting Data Cleaning Steps	How can we document the data-cleaning steps we’ve applied to our data? How can we apply these steps to additional data sets?
6. Exporting and Saving Data	How can we save and export our cleaned data from OpenRefine?
7. Further Resources on OpenRefine	What other resources are available for working with OpenRefine?
8. Survey
Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.