Learning to Programme in Python with Colours

Data Science Taster Lecture

Speaker: Dimitris Mylonas, Lecturer in Computer Science
Date: Monday 8 February 2021, 4:30-5:30pm

The NCH Data Science programme explores the fundamentals and skills of data science, including skills in programming with data, machine learning, and natural language processing, and enables students to implement these skills at a practical level.

It also contextualizes this knowledge and the associated skills, to allow students to appreciate their theoretical implications, and navigate the resulting ethical territory, making students well positioned in the fast-moving data science landscape.

Our Data Science Taster Lecture, ‘Learning to Programme in Python with Colours’, aims to give you a real taste of learning how to code in Python using stimulating colour exercises and a novel crowdsourced dataset. Python is one of the easiest programming languages to learn and the most sought-after skill in data science. Your data-driven journey in humanities starts here.

This taster will also include an introductory overview of studying at NCH, and there will be ample time for Q&A with Faculty and Student Ambassadors.



Here’s what previous participants have said about our Data Science Taster Lectures:

“I really enjoyed that Dimitris used a step-by-step approach to demonstrate how one can go about using Python as a tool for data analysis. It gave me an idea of ways in which it can be used and why it’s such a powerful and useful tool.”

“Having never coded before, it was very useful to gain insight into what coding can be like.”

“Dimitris Mylonas delivered an interesting and insightful introduction to data science, whilst also beginning to question how it ties into philosophy, and the ethical capability it has. Excellent!”

“I enjoyed the presentation and the introduction to NCH at the beginning of the session. The continuous Q&A feature was also interesting, especially as current students were answering the questions.”

“I really liked the interactive nature of the lecture!”

“The taster was really informative in terms of explaining what we can envision our skillset to evolve into. I only wish it could have lasted longer!”