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Goliath Research Academy

Computational Inferential Statistics with Python

  • Level: Advanced
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Course features
The course equips learners with skills in inferential statistics. It covers point and interval estimation, hypothesis testing, and advanced resampling techniques through practical Python applications, focusing on real-world data analysis.
  • Video time: 8 minutes
  • Notebooks: 9
  • Ebooks time: 36 minutes
  • Exams: 1

David Izada-Rodriguez

Computer Scientist, Software Engineer, Instructor
About me
After years of researching and teaching Computer Science, I switched to its applications to several industries. This experience allowed me to develop general-purpose techniques to be used from the factory floor to enterprise applications on the cloud. As I did at the beginning of my career, I am ready to share my experience.

Gladys Casas-Cardoso

Data Scientist, Statistician, Instructor
About me
I am a Mathematics and Computer Sciences professor since 1994. With a master's degree in Mathematics and a Ph.D. in Technical Sciences, I enjoy teaching at all levels and ages.
I look forward to sharing my love of building meaningful and compelling content with all students to develop their data analysis abilities.
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