Biostatistics Fundamentals using Python
What you'll learn
- After completing this course, students will be able to use Python to do their own biostatistical analysis
Requirements
- Students should have access to a computer with an internet connection. A basic understanding of statistics is assumed.
Description
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.
Who this course is for:
- Any scientist, healthcare worker, or person interested in doing their own biostatistics.
Course content
Introduction3 lectures • 2min
- IntroductionPreview00:44
- Motivation00:47
- Why choose python?00:37
Installing the software6 lectures • 24min
Simple arithmetic1 lecture • 14min
Collections4 lectures • 28min
Working with data8 lectures • 1hr 1min
Descriptive statistics3 lectures • 19min
Data visualization10 lectures • 1hr 18min
Assumptions for the use of parametric tests5 lectures • 27min
Correlation and linear regression6 lectures • 33min
Comparing means2 lectures • 8min
Instructor
![Juan Klopper](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.5 Instructor Rating
- 288 Reviews
- 1,177 Students
- 4 Courses
I am a Senior Lecturer in Surgery and the Head of both Postgraduate Surgical Research and Surgical Education at the University of Cape Town, South Africa. My academic interests extend to online education and I am the recipient of the Open Education Consortium Educator of the Year Award in 2014. My course on Healthcare Statistics is also the first course from a University in Africa on the Coursera massive open online course platform.