Data Analysis for Beginners
The purpose of this course is to equip medical professionals of all backgrounds - students, trainees, physicians, and non-physicians alike - with the fundamental skills of data analysis.
Introduction
Discussion Group
Zoom Webinars
Introduction to Data Analysis
Installation Guide
Download Files - Code
Download Files - Data
Live Session Recording
Handouts - Data Analysis for Beginners
Live Session Recording
Lecture 2 - Populations, Samples and Estimates
Live Session Recording
Handouts
Live Session Recording
Live Session Recording
Course Description:
The purpose of this course is to equip medical professionals of all backgrounds - students, trainees, physicians, and non-physicians alike - with the fundamental skills of data analysis. Through a step-by-step approach, you'll gain the knowledge to unlock the power of medical data and translate it into actionable insights.
Target Audience:
Medical students, Trainees, Physicians, and Non-Physicians who are interested in learning data analysis.
Objectives:
By the end of this course, you'll be able to:
Course Modules:
Introduction & Setup |
Download files required for the lesson What is statistical inference? Why do biomedical researchers need to learn statistics now? |
Inference |
What does inference mean? Why do we need p-values and confidence intervals? What is a random variable? What exactly is a distribution? |
Populations, Samples and Estimates |
What is a parameter from a population? What are sample estimates? How can we use sample estimates to make inferences about population parameters? |
Central Limit Theorem and the t-distribution |
What is a parameter from a population? |
Central Limit Theorem in practice |
How is the CLT used in practice? |
t-tests in practice |
How are t-tests used in practice? |
Confidence Intervals |
What is a confidence interval? |
Power Calculations |
What is statistical power? How is power calculated? |
Permutations |
What it is and applications |
Association tests |
Binary, categorical and ordinal data, chi-square |
Course Director:
Dr. Ahmed Sadeque
PhD in Bioinformatics, Genetics & Statistical Genomics.