After completing this course, students will be able to use Python to do their own biostatistical analysis
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.
Who this course is for:
Any scientist, healthcare worker, or person interested in doing their own biostatistics.
13 sections • 59 lectures • 5h 51m total length
Why choose python?
Shutting down Jupyter
Introducing Google Colaboratory
Doing simple arithmetic
Collections 01 - Python lists
Collections 02 - Ranges
Collections 03 - Dictionaries
Working with data 01 - Importing external data
Working with data 02 - Accessing the imported data
Working with data 03 - Creating random data
Working with data 04 - Creating a DataFrame with simulated random data
Working with data 05 - Cleaning up data
Working with data 06 - More cleaning up
Descriptive statistics 01 - Measure of central tendency
Descriptive statistics 02 - Measures of dispersion
Data visualization 02 - Scatter plots continued
Data visualization 03 - Box plots
Data visualization 04 - Histograms
Data visualization 05 - Dot plots
Data visualization 06 - Bar charts
Data visualization - Plotly Express Part 1
Data visualization - Plotly Express Part 2
Assumptions for the use of parametric tests 02
Assumptions for the use of parametric tests 03 - Homogeneity of variance
Assumptions for the use of parametric tests 04 - Outliers
Head of Postgraduate Research at the University of Cape Town
4.6 Instructor Rating
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.