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.
Ce cours fait partie de la Spécialisation Statistics with Python
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À propos de ce cours
Completion of the first two courses in this specialization; high school-level algebra
Compétences que vous acquerrez
- Bayesian Statistics
- Python Programming
- Statistical Model
- statistical regression
Completion of the first two courses in this specialization; high school-level algebra
Offert par
Programme de cours : ce que vous apprendrez dans ce cours
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
Avis
- 5 stars65,51 %
- 4 stars20,31 %
- 3 stars8,34 %
- 2 stars3,46 %
- 1 star2,36 %
Meilleurs avis pour FITTING STATISTICAL MODELS TO DATA WITH PYTHON
I think the notebook walkthroughs, while useful, could use some extra reinforcement in the statistical concepts
Good course, but the last of three was the most difficult one. I hope that it were a good introduction to the fascinating world of statistics and data science
It was very technical and a lot of the mathematics behind the models were not explained properly. The codes were also not explained properly
Overall it's very good for someone who has a fair background in statistics, except for some small mistakes in slides and notebooks.
À propos du Spécialisation Statistics with Python

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