Key Information

Tutor: Dr John Pinney
Course Level: Level 2
Course Credit: 
1 credit
Prerequisites:
 Familiarity with Python is necessary
Course Duration: 2x 2.5 hour sessions
Format: Microsoft Teams with live teaching and hands-on practice

Course Resources

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

DateTimePlatform/Venue
Thursday 02 December 2021 (Part 1) &
Friday 03 December 2021 (Part 2)
10:00-12:30
10:00-12:30
Microsoft Teams
Thursday 20 January 2022 (Part 1) &
Friday 21 January 2022 (Part 2)
10:00-12:30
10:00-12:30
Microsoft Teams
Thursday 10 March 2022 (Part 1) &
Friday 11 March 2022 (Part 2)
14:00-16:30
14:00-16:30
South Kensington (Face-to-Face)
Monday 09 May 2022 (Part 1) &
Wednesday 11 May 2022 (Part 2)
14:00-16:30
14:00-16:30
Microsoft Teams
Monday 13 June 2022 (Part 1) &
Wednesday 15 June 2022 (Part 2)
10:00-12:30
10:00-12:30
Microsoft Teams
Summary of the table's contents

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