Demystifying Scientific Data Analysis & Statistics with R & Python

Master R & Python for Biological Data Analysis
In this special webinar, we explore how statistical analysis and programming can transform biological research.

Brought to you by the International Union of Biochemistry and Molecular Biology Training Initiative, we break down how you can use statistical analysis, data visualization, and machine learning to boost your research.

Dr. Avinash Shenoy (Imperial College London) explains how to plan your experiments with stats in mind, avoid common analysis mistakes, and visualize data using his free R package Graphify.
Dr. Chan Kuan Rong (Duke-NUS Medical School) shows how Python can be used for bioinformatics, omics data, and even building AI-powered web tools with Streamlit.

Whether you're a wet lab biologist, a data newbie, or looking to improve reproducibility in your work, this session is packed with beginner-friendly insights and tools to get started.

📌 Topics covered:
– R for statistical analysis in biology
– Experimental design & power analysis
– Graphify: visualizing and analyzing your data
– Python for big data & machine learning
– Building web tools for research using Streamlit

0:00 About the Event
3:40 R & RStudio
28: 33 Python

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