Explore a comprehensive video playlist designed to teach Python for healthcare statistics, serving as a standalone resource or complementing the Coursera course "Understanding Clinical Research." Dive into topics ranging from Google Colab and Python basics to advanced concepts like sampling distributions, hypothesis testing, and linear models. Master essential tools such as Pandas for data manipulation, Plotly for visualization, and Patsy for creating design matrices. Gain practical skills in applying Python to real-world healthcare statistics problems through hands-on tutorials and examples.
Overview
Syllabus
Introduction to Google Colab for healthcare statistics.
Introduction to Python.
Getting Google Colab files from Github (for this series of videos).
Pandas tutorial for beginners.
Summary statistics using python.
Plotly tutorial.
Sampling distributions.
Hypothesis testing tutorial using Python in Google Colab.
Design Matrices using Patsy in Python.
Linear models using the F distribution in python.
Ordinary Least Squares Tutorial using Python.
Taught by
Dr Juan Klopper
