In this workshop, you will explore DataFrames in depth (using the pandas library), learn how to manipulate, explore and get insights from your data (Data Manipulation), as well as how to deal with missing values and how to combine multiple datasets. This is taught with Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation (software-carpentry.org).
You will learn:
- Working with pandas DataFrames
- Indexing, slicing and subsetting in pandas DataFrames
- Missing data values
- Combine multiple pandas DataFrames
Either Learn to Program: Python or Python for Research needed to attend this course. If you already have experience with programming, please check the topics covered in the Learn to Program: Python and Python for Research courses to ensure that you are familiar with the knowledge needed for this course.
Additional courses: are being offered by UNSW throughout the year. The training calendar and free online resources are available on the Research Technology Training website.
UNSW researchers are also permitted to attend Intersect-run courses at any of the Intersect member institutions (click here to view the courses on offer). Recordings of Intersect webinars can also be found here.