Python data analysis -- statistical analysis (2024 version)

Based on real business cases, this course focuses on the related functions of scipy.stats and statsmodes packages. From the perspective of statistical analysis practice, it introduces in detail how to complete statistical analysis operations such as data description, t-test, one-way anova, chi square test, and correlation regression in Python.

Through the learning of this course, students will deeply learn how to correctly investigate the application conditions of these methods and correctly select the required methods for application, so as to meet the needs of relevant statistical analysis functions and lay a solid foundation for further learning of the complex modeling functions in the statsmodes package.

Update Record

2024.7: For statsmodes version 0.14 and pandas version 3.0, upgrade the course to version 2024.

2022.10: For the latest version of Anaconda in October (python 3.9), statsmodels 0.13.2 Version 1.4.4 and Pandas version 1.4.4 completed the compatibility test and updated the corresponding course content.

2022.1: Complete compatibility test for the latest version of Anaconda (python 3.8), statsmodes 0.13.1 and pandas 1.3.5, and update the corresponding course content.

2021.4: The course content has been updated based on the latest pandas version 1.2.3, statsmodes version 0.12.2 and scipy version 1.6.2.

[Course length]

Total duration: 10 hours

[Student foundation]

student need Understand the basic programming knowledge of Python language.

Students are not required to learn the basic knowledge of statistical analysis in advance, but it is recommended that students who have no statistical basis learn the free video course Easy Introduction to Statistical Analysis in advance.

Students are not required to have any experience in using statistical software in advance.