Learn about the role of visualization; scatter plots; and Jupyter notebook interactive widgets.
- [Instructor] We have worked through the hard job…of cleaning data and learning the basics of pandas,…or at least refreshing them.…Now, we can have some fun.…Statistics is the science of learning from data…and of reducing complex structures and trends…in the world to succinct numerical descriptions…and do powerful visualizations.…And nobody was more apt at identifying…and explaining global trends in data…than the late statistician…and public health expert Hans Rosling.…
His book Factfulness, and his website gapminder.org,…are must reads and must see for anybody…who wants to understand our complex world as it is.…And certainly for anybody learning statistics.…Throughout this chapter we will use data curated…by Rosling's organization.…Here I want to give you a preview…of the powerful visualizations that we can achieve…very simply with Python.…And we use one of gapminder datasets.…
As usual, we import some modules.…And we load the dataset with read_csv.…Let's have a look.…Here I'm selecting every 20th row, up to row 200.…
- 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
SPSS Statistics Essential Trainingwith Barton Poulson4h 57m Beginner
R Statistics Essential Trainingwith Barton Poulson5h 59m Intermediate
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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