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Fitting Statistical Models to Data with Python
This course is part of Statistics with Python Specialization
Free
This Course Includes
coursera
4.4 (673 reviews )
14 hours (approximately) 
english
Online - Self Paced
course
University of Michigan
About Fitting Statistical Models to Data with Python
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
What You Will Learn?
- Deepen your understanding of statistical inference techniques by mastering the art of fitting statistical models to data..
- Connect research questions with data analysis methods, emphasizing objectives, relationships between variables, and making predictions..
- Explore various statistical modeling techniques like linear regression, logistic regression, and Bayesian inference using real data sets..
- Work through hands-on case studies in Python with libraries like Statsmodels, Pandas, and Seaborn in the Jupyter Notebook environment..