Join Michele Vallisneri for an in-depth discussion in this video Using the exercise files, part of Python Statistics Essential Training.
- [Instructor] The exercise files for this course are organized in folders by chapter and within each chapter, by video if a video needs files. A few are data files that we will analyze, but most are Jupyter notebooks. Throughout this course, we will use the Jupyter Notebook application, which we will install later as a programming environment. To open the notebooks, we first need to open the Jupyter application from the terminal, then navigate through the files system to the location of the exercise files, and open them by selecting them.
For each video, there are two notebooks labeled begin and end; the former is where we start at the beginning of the video, the latter will contain all the work we've done by the end of the video.
- 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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