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 forma parte de Programa especializado: Statistics with Python
Ofrecido Por
Acerca de este Curso
Completion of the first two courses in this specialization; high school-level algebra
Habilidades que obtendrás
- Bayesian Statistics
- Python Programming
- Statistical Model
- statistical regression
Completion of the first two courses in this specialization; high school-level algebra
Ofrecido por
Programa - Qué aprenderás en 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
Reseñas
- 5 stars65,51 %
- 4 stars20,31 %
- 3 stars8,34 %
- 2 stars3,46 %
- 1 star2,36 %
Principales reseñas sobre FITTING STATISTICAL MODELS TO DATA WITH PYTHON
Just like the other courses in the specialization, very well thought out and planned! Up to date, great professors . . . couldn't ask for more!
Week 3 starts to get unreasonably difficult and hard to understand. Apart from that, the course is still worthwhile to take.
Overall it's very good for someone who has a fair background in statistics, except for some small mistakes in slides and notebooks.
It was very technical and a lot of the mathematics behind the models were not explained properly. The codes were also not explained properly
Acerca de Programa especializado: Statistics with Python

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