Introduction to Python 

Machine Learning mashup

 

This course is for people who have no experience programming, or no experience programming in Python. 

Participants will learn about programming concepts such as loops, conditionals, and recursion; as well as how to properly write and interpret code using Python’s syntax.  The trainer will explain how to use Python’s documentation and other online resources to answer questions about Python code. 

The course will be taught using Jupyter Notebooks, though participants familiar with IDEs (integrated development environments) may choose to use different software to write their code. 

This is a beginner level course. No previous knowledge on the topic is required/expected and the trainer will cover all the basics. 

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. 

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. 

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. 

 

You might be interested in

Graphic for a workshop titled ‘Getting Started with Inferential Statistics.’ The background is a black-and-white photograph of people studying in a library with partitioned desks. A large teal ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Getting Started with Inferential Statistics

graphic of a black and white Christmas tree background with colourful baubles and snowflakes. The text "Dorothy Berry, CDCS Annual Lecture 2025" is overlayed."

CDCS Annual Lecture 2025

Graphic for a workshop titled ‘Getting Started with Descriptive Statistics.’ The background is a black-and-white photograph of people reading and working in a library. A large magenta ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Getting Started with Descriptive Statistics

Graphic for an event titled ‘BYOD Festival.’ The background is a black-and-white photograph of people sitting around a table, drinking tea and playing cards. A large magenta ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Bring Your Own Data (BYOD) Fest

an old map of Acotland with the text "Jennifer Smith & Brian Aitken, Project deep Dive"

Who Speaks Scots Where: What Crowdsourcing Reveals

Graphic for a workshop titled ‘Data Viscualisation’ The background is a collage of historical printed text with an overlaid image of a wolf. A large green ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner

Digital Method of the Month: Data Visualisation

Graphic for a workshop titled ‘Using API for Research.’ The background is a black-and-white photograph of people working with printing equipment and patterned sheets. A large magenta ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Using API for Research

Graphic for a workshop titled ‘Using Prompting Efficiently for Research.’ The background shows an aged, torn book page with visible text. A large green ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Using Prompting Efficiently for Research