Pandas is a popular software library for Python which includes a number of useful data processing tools. It is free and relatively easy to learn, with a community which provides support and documentation. It is more powerful than Excel and is able to produce high-quality figures.

This course teaches the beginnings of data processing using the Pandas library. You will learn the basic commands of the package with hands-on examples using the Jupyter Notebook environment.

Syllabus:

• Why you might choose to use Pandas for data processing
• Selecting rows of data
• Selecting columns of data
• Cutting and joining data
• Reading and writing data
• Producing graphs from the data

Learning Outcomes:

On completion of this workshop you will be able to:

• Use Jupyter notebooks to perform simple Pandas data analysis
• Apply fundamental components of Pandas syntax including data selection and grouping
• Create programs designed to process example data and display simple statistics
• Interpret common errors and use these to help debug a program

Dates & Booking Information

Please select a date and book on via Inkpath using your Imperial Single-Sign-On.