Biostatistics Fundamentals using Python

Learn how easy it is to use Python to do your biostatistical analysis

This course empowers you to do your own biostatistical analysis.  Whether you are a healthcare professional, scientist, or just someone interested in supercharging their research career, the time to learn how to use a modern computer language to do you own analysis, has arrived.

What you’ll learn

  • After completing this course, students will be able to use Python to do their own biostatistical analysis.

Course Content

  • Introduction –> 3 lectures • 2min.
  • Installing the software –> 6 lectures • 24min.
  • Simple arithmetic –> 1 lecture • 14min.
  • Collections –> 4 lectures • 28min.
  • Working with data –> 8 lectures • 1hr 1min.
  • Descriptive statistics –> 3 lectures • 19min.
  • Data visualization –> 10 lectures • 1hr 18min.
  • Assumptions for the use of parametric tests –> 5 lectures • 27min.
  • Correlation and linear regression –> 6 lectures • 33min.
  • Comparing means –> 2 lectures • 8min.
  • Comparing categorical variables –> 2 lectures • 7min.
  • Logistic regression –> 5 lectures • 25min.
  • Research projects –> 4 lectures • 24min.

Biostatistics Fundamentals using Python

Requirements

  • Students should have access to a computer with an internet connection. A basic understanding of statistics is assumed..

This course empowers you to do your own biostatistical analysis.  Whether you are a healthcare professional, scientist, or just someone interested in supercharging their research career, the time to learn how to use a modern computer language to do you own analysis, has arrived.

Python is becoming the de facto standard in data analysis.  It is a free to use, powerful programming language.  With the minimum of effort, you will soon be able to do all you own analysis, create beautiful plots, and deliver your reports or publish your research with confidence and pride.