Analysing Structured Data with Python’s Pandas and ElementTree Libraries

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This course is for people who have some experience coding in Python and would like to expand their capabilities to include the libraries Pandas and ElementTree.  

This course will cover how to analyse structured data, specifically data in comma-separated values files (CSV) and extensible markup language (XML).  The course will have four, one-hour, virtual tutorials on Mondays and Fridays.  Participants will receive an assignment in each Monday tutorial that the instructor will review in that week’s Friday tutorial.  Participants will complete assignments in Jupyter Notebooks.  

The instructor will provide learning material from freely available, online, resources.  Each week, participants are expected to dedicate about seven hours to the tutorials, assignments, and learning material.  Participants will have the opportunity to book a one-hour, one-on-one office hour with the instructor during each week of the course. 

This is an intermediate level course. Intermediate sessions explore specific aspects of the method (libraries, tools etc.) and offer a more in-depth understanding of the course topics, without introducing the basics. Some previous knowledge of python and notebooks is required to be able to follow the content. 

To attend this course, you will have to join the associated Microsoft Teams group. The link to join the group will be sent to the attendees prior to the course start date, so please make sure to do so in advance. 

After taking part in this event, you may decide that you need some further help in applying what you have learnt to your research. If so, you can book a Data Surgery meeting with one of our training fellows. 

More details about Data Surgeries. 

If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event. 


Return to the Training Homepage to see other available events.