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Learn Python for Healthcare Statistics

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Overview

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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.

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

Reviews

5.0 rating, based on 3 Class Central reviews

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  • Oumar Mahamat Ahmat
    I would highly recommend this course to anyone interested in healthcare statistics and data analysis. The instructor explains Python concepts clearly and connects them directly to real healthcare examples, which makes learning practical and relevant. The course helped me understand statistical analysis, data visualization, and how to apply Python in health research. It is especially useful for public health students and healthcare professionals who want to improve their analytical skills.
  • Godswill Chiemela CHIBUEZE
    Easy to understand course.
    Very useful for learning data analytics processes and insights and would absolutely recommend to anyone who wants to learn and perfect healthcare data analytics.
  • Profile image for Arun Movva
    Arun Movva
    Awesome class, hands-on and easily accessible. Thank you for making this free to the public! Very useful information for the research that I am interested in.
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