Introduction to Python

Please note that sign up for this course takes place on the , not on Eventbrite. All prices are listed on the website.

Python is a general-purpose programming language popular among data scientists and statisticians. In this one-day introductory course, participants will learn to import, summarise and visualise their data. At each step, we avoid using “magic code”, and stress the importance of understanding what Python is doing.

This is an online course and will take place, from 13:30 - 17:00 (UK time), on the 13th & 14th of May. We have an early bird offer which runs until 31th March 2024. The closing date for enrollment is 6th May 2024.

Session 1:

By the end of session 1 participants will…

• be comfortable working in the Jupyter notebook integrated environment.
• have developed a familiarity with Python’s most common data types.
• understand the differences between a function, method, and attribute.
• have learned about Python’s package system and how to import packages.
• be able to perform basic data manipulation tasks with numpy.

Session 2:

By the end of session 2 participants will…

• be familiar with Python’s pandas DataFrame and Series objects.
• be able to manipulate, extract and summarise data with the pandas package.
• know how to use the matplotlib package to make data visualisations.
• understand how to read data into Python from multiple sources, and write analysed data back out.

This course does not include:

• Advanced data analysis, wrangling and manipulation techniques.
• Enough knowledge to compose complex visualisations and interactive plots, see our Python for Data Visualisation course.
• For loops, function writing or if statements, for more programming skills in Python see our Programming with Python course for this.
• Machine and deep learning modelling techniques, see our website for courses on this topic.

There are no pre-requisites for this course.

• “The presenter really did an excellent job on explaining the content in the course and I believe that the actual content is very useful to know. I will definitely be using it”
• “It was well structured, the materials were clear and professionally produced, good enough to be followed on their own”

Please register on the , not on Eventbrite. You will be invoiced by our team and receive the Zoom invitation and pre-course information by email.

If you have any questions at all, please don't hesitate to reach out to us at [email protected].

Event Venue

Online