Learn about working with Jupyter Notebook.
- [Instructor] Jupyter notebooks offer a very convenient way…to write code, run it, and collect the results,…including plots, in a single document.…You can even write documentation.…This is my favorite way of using Python.…We start a notebook by typing jupyter notebook…in a terminal.…A web browser opens and I can choose…if I wish to load an existing notebook from the file system…or to start a new one,…which I do at the top right of the screen.…
See this green box, it's a cell.…It's ready for me to write some Python.…Then I execute it by pressing shift + enter together.…The output is printed immediately below it.…I can click inside a cell, modify it,…and execute it again.…To write in the next cell,…I press enter.…The box around it becomes green…and I can start writing.…
I can write the function over multiple lines,…and the editor will highlight the Python source for me.…Again, I execute with shift + enter.…This time, I would like to write some text, not code,…so I can use the menu option cell, cell type,…and markdown.…
- Installing and setting up Python
- Importing and cleaning data
- Visualizing data
- Describing distributions and categorical variables
- Using basic statistical inference and modeling techniques
- Bayesian inference
Skill Level Intermediate
R Statistics Essential Trainingwith Barton Poulson5h 59m Intermediate
SPSS Statistics Essential Trainingwith Barton Poulson4h 57m Beginner
1. Installation and Setup
2. Importing and Cleaning Data
3. Visualizing and Describing Data
4. Introduction to Statistical Inference
5. Introduction to Statistical Modeling
Next steps1m 55s
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