In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods. We will also focus on various modeling objectives, including making inference about relationships between variables and generating predictions for future observations.
Este curso faz parte do Programa de cursos integrados Statistics with Python
oferecido por
Informações sobre o curso
Completion of the first two courses in this specialization; high school-level algebra
Habilidades que você terá
- Bayesian Statistics
- Python Programming
- Statistical Model
- statistical regression
Completion of the first two courses in this specialization; high school-level algebra
oferecido por
Programa - O que você aprenderá com este curso
WEEK 1 - OVERVIEW & CONSIDERATIONS FOR STATISTICAL MODELING
WEEK 2 - FITTING MODELS TO INDEPENDENT DATA
WEEK 3 - FITTING MODELS TO DEPENDENT DATA
WEEK 4: Special Topics
Avaliações
- 5 stars65,56%
- 4 stars20,28%
- 3 stars8,33%
- 2 stars3,45%
- 1 star2,35%
Principais avaliações do FITTING STATISTICAL MODELS TO DATA WITH PYTHON
Great course. It really improved my understanding of statistical modeling methodologies.
It was very technical and a lot of the mathematics behind the models were not explained properly. The codes were also not explained properly
I think the notebook walkthroughs, while useful, could use some extra reinforcement in the statistical concepts
The course was wonderful however, sometimes I felt that a little bit more details could be provided when python code was being explained for week 2.
Sobre Programa de cursos integrados Statistics with Python

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