Session 1: Intro to Python

Name: Session 1: Intro to Python
Start: 2024-01-30T18:00:00+00:00
End: 2024-01-30T19:30:00+00:00

30th Jan 2024

6:00 - 7:30pm (GMT)

Academia

Biomedical informatics

Epidemiology

30th Jan 2024

6:00 - 7:30pm (GMT)

Online event

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Free

ONLINE & IN PERSON

Description

Interested in trying out some machine learning? Want to learn how to use python to implement data science techniques using real-world medical datasets?

Join us online (Zoom details below) where we’ll start with some python and AI basics. We'll have a practical lab where you can gain hands-on experience in relevant and useful skills for undergraduate healthcare research!

This first session will introduce how data science can be used in healthcare, as well as revising basic data science methods in a practical lab using drug trial data!

This session is aimed at medical students but all are welcome to attend.

Summary

Session 1: Intro to Python is an engaging online workshop aimed at teaching medical professionals how to utilize Python and AI for data science in healthcare. The course includes a real-world case study using drug trial data. Designed especially for medical students, the session promises hands-on experience and practical skills relevant to undergraduate healthcare research. Don't miss this opportunity to integrate machine learning into your healthcare services. All medical professionals are welcome. Join Zoom Meeting https://ed-ac-uk.zoom.us/j/82482305177 Meeting ID: 824 8230 5177 Passcode: 7debWZSd

Learning objectives

1. Understand the role and potential application of data science, specifically Python, in the healthcare sector. 2. Gain an introductory level knowledge of Python programming and its application to analyze medical datasets. 3. Acquire an understanding of basic AI concepts relevant in healthcare research and their implementation using Python. 4. Develop foundational skills for manipulating real-world medical datasets through a practical lab using drug trial data. 5. Develop a competency for troubleshooting and solving problems related to data processing and analysis using Python in a healthcare research context.

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