Course Information
Course Overview
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.
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.
Course Content
- 13 section(s)
- 59 lecture(s)
- Section 1 Introduction
- Section 2 Installing the software
- Section 3 Simple arithmetic
- Section 4 Collections
- Section 5 Working with data
- Section 6 Descriptive statistics
- Section 7 Data visualization
- Section 8 Assumptions for the use of parametric tests
- Section 9 Correlation and linear regression
- Section 10 Comparing means
- Section 11 Comparing categorical variables
- Section 12 Logistic regression
- Section 13 Research projects
What You’ll Learn
- After completing this course, students will be able to use Python to do their own biostatistical analysis
Skills covered in this course
Reviews
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LLahav Cohen
I didn't even managed to understand how to download Python. what is the connection to Jupyter, Anaconda, Mamba etc..? you are taking as granted as everyone knows about all these things, and it isn't explain at all.
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KKamila Andrzejewska
perfect, thank you
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PPranavu
GOOD
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RReiko Matsushita
His descriptions of python functions are not always detailed enough. I wish he explains the code line by line instead of pasting a block of his own code and moving on.