Hypothesis testing tutorial using Python in Google Colab
This series of videos on YouTube follows the chapters of my award winning massive open online course (MOOC) on Coursera called Understanding Clinical Research (or UCR for short). Anyone can view it without having completed UCR, though. If you want to learn how to use the most popular programming language for data science, then this series of videos are for you.
Just an FYI. UCR is an intuitive exploration of healthcare statistics. While I have other technical courses on Coursera, I wanted to add this companion to UCR on YouTube, to teach you how to use Python to do your own statistics and research.
We will be using Google Colab. It is part of your free Google account, just as Google Docs. Simply log in to your Google account and go to https://research.colab.com. Click on WELCOME TO COLABORATORY and then on COPY TO DRIVE and Colab will be available in your Google Drive.
This video follows from the previous one on sampling distributions. I explain hypothesis testing by way of an example, where we look at two-tailed and one-tailed hypotheses.
BTW, leave a comment down below if anything is unclear. There are nearly 100,000 students that have been a part of my Coursera course. We are a big community.
You can also jump ahead and get a certificate from my Research Unit at the University of Cape Town by completing the Biostatistics Fundamentals course on Udemy: https://www.udemy.com/course/biostati...
Sur cette page du site, vous pouvez voir la vidéo en ligne Hypothesis testing tutorial using Python in Google Colab durée heure minute seconde en bonne qualité , qui a été Téléchargé par l'utilisateur Dr Juan Klopper 23 avril 2020, Partagez le lien avec vos amis et connaissances, sur youtube cette vidéo a déjà été regardée 1,771 fois et il a aimé 23 téléspectateurs. Bon visionnage!
