APEP Lecture Series 2 (Data Analysis)

Name: APEP Lecture Series 2 (Data Analysis)
Start: 2025-04-28T18:00:00+00:00
End: 2025-04-28T19:15:00+00:00

28th Apr 2025

6:00 - 7:15pm (GMT)

Academia

28th Apr 2025

6:00 - 7:15pm (GMT)

Hosted on MedAll

Attendance certificate available

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Free

ONLINE

Description

The second session for the APEP lecture series! Find out from a professor in data analysis how to approach processing data for research purposes!

Teams link to join: https://teams.microsoft.com/l/meetup-join/19%3Ameeting\_ZjU0OGNkNTQtZmEyZi00M2UzLWIyNWEtZmJiOTk3MGNkYzkz%40thread.v2/0?context={"Tid"%3A"c152cb07-614e-4abb-818a-f035cfa91a77"%2C"Oid"%3A"08660318-d679-4a9c-aadf-411dca502614"}

Summary

In the second session of the APEP lecture series, medical professionals will have the unique opportunity to learn about data analysis from an expert in the field. In this crucial session, a professor will provide insights into the art of processing data for research purposes. This online event is perfect for those wishing to refine their data analysis skills to improve and streamline research procedures. Click on the Teams link to join this invaluable lecture.

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Learning objectives

By the end of this session, participants should be able to understand the basic principles of data analysis in the context of medical research.
Participants should be able to identify the common challenges and pitfalls associated with data analysis, as well as strategies to manage these issues.
Participants should learn how to appropriately approach processing data for a variety of research purposes, with an emphasis on quality care and evidence-based medicine.
Participants should be able to apply data analysis techniques in their own clinical research projects to draw meaningful conclusions.
Participants should develop an increased capacity for critical thinking and interpretation of medical data in order to enhance their understanding of clinical research outcomes.

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