Course curriculum

    1. Introduction

    2. Discussion Group

    3. Zoom Webinars

    1. Introduction to Data Analysis

    2. Installation Guide

    3. Download Files - Code

    4. Download Files - Data

    5. Live Session Recording

    6. Handouts - Data Analysis for Beginners

    1. Live Session Recording

    2. Lecture 2 - Populations, Samples and Estimates

    1. Live Session Recording

    1. Handouts

    2. Live Session Recording

    1. Live Session Recording

About this course

  • $30.00
  • 15 lessons
  • 9 hours of video content

About Course

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:

  • You'll gain the skills to critically evaluate and analyze medical data using statistical methods.
  • This course will equip you to draw sound inferences from data, allowing you to contribute to improved patient care and inform healthcare practices.
  • Learn to create clear and compelling data visualizations to effectively communicate your research findings to colleagues and stakeholders.

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.



Instructor(s)

Course Director Dr. Ahmed Sadeque

PhD in Bioinformatics, Genetics & Statistical Genomics.

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