- [Michele] Thank you for staying with me through some rather challenging material. Within the vast landscape of statistical techniques, I chose a few examples that should be useful to you as you're learning statistics, and that would show you the power of Python and of its best libraries. The following are a few resources that can help you learn more. If you're interested in more techniques for handling data with Python, you can start with my course Python: Data Analysis. If you want to be more fluent and efficient in Python, you can look in my course Python: Programming Efficiently.
There are many excellent introductory textbooks on statistics, one that I especially liked is Statistical Modeling: A Fresh Approach by David Kaplan. For a higher level view of the statistician's mindset, I recommend Hans Rosling's gapminder.org. In this course, I used pandas as a Matplotlib for visualization. The first is very quick, the second very customizable. However, there are powerful and beautiful alternatives, plotnine implements the grammar of graphics using the ggplot syntax for which R is rightly famous, seaborn adds beauty and sophistication to many kinds of statistical plots, dash and Bokeh allow you to create interactive visualizations for the web.
The Python community is large and friendly, in fact, many of the questions that you may have about using Python for statistics have already been asked, so you can find the answer on websites like stackoverflow.com. If not, just ask. I use Python and Jupyter notebooks everyday, and they make me happy because they allow me to explore data rapidly and elegantly and to experiment quickly with different solutions. I do believe that the best way to learn is by doing, so go out and have fun.
- 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
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