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.
In this video we learn the first step in data analysis and that is to summarize the data. Humans cannot look at rows and columns of data and underrated the information locked inside of it. Instead, we summarize the data and calculate single values that are representative of the whole. It is very easily done using python and pandas.
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...
Nesta página do site você pode assistir ao vídeo on-line Summary statistics using python duração hora minuto segundo em boa qualidade , que foi baixado pelo usuário Dr Juan Klopper 27 Março 2020, compartilhe o link com seus amigos e conhecidos, no youtube este vídeo já foi visto 1,591 vezes e gostou 33 espectadores. Boa visualização!