Join Michele Vallisneri for an in-depth discussion in this video What you need to know, part of Python Statistics Essential Training.
- [Instructor] Before getting started with this course, you'll want a basic working knowledge of Python, and especially of Python collections, and of the NumPy array library. You can learn about these in my course Python: Data Analysis. It will also be helpful to have an understanding of mathematics at the college first year level. If you have studied statistics already even better, I will show you how to put those theoretical concepts into practice with Python. Throughout the course if you find yourself struggling or if you want to explore a topic more deeply, I encourage you to pause the video and experiment on your own or search for the topic in other courses and on the web.
Your exercise files contain all the code that we will write, which you can use a starting point for further inspirations or as a template for other statistical analysis.
- 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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