This course was created from this GitHub template.
You can see the rendered course material here: https://hutchdatascience.org/Intro_to_Python/
If you would like to contribute to this course material, take a look at the OTTR documentation.
The course covers fundamentals of Python, a high-level programming language, and use it to wrangle data for analysis and visualization.
The course is intended for researchers who want to learn coding for the first time with a data science application via the Python language. This course is also appropriate for folks who have explored data science or programming on their own and want to focus on some fundamentals.
Analyze Tidy datasets in the Python programming language via data subsetting, joining, and transformations.
Evaluate summary statistics and data visualization to understand scientific questions.
Describe how the Python programming environment interpret complex expressions made out of functions, operations, and data structures, in a step-by-step way.
Apply problem solving strategies to debug broken code.
If you are encountering any problems with this course, please file a GitHub issue or contact us at {Some email or web address with a contact form}.
All materials in this course are licensed under a Creative Commons Attribution 4.0 International License unless noted otherwise.
