Fitting Statistical Models to Data with Python
Completed by MEVLÜDE SILA KAZAN
March 15, 2021
14 hours (approximately)
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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.
Skills you will gain
- Category: Statistical Analysis
- Category: Logistic Regression
- Category: Dependency Analysis
- Category: Model Evaluation
- Category: Statistical Modeling
- Category: Statistical Programming
- Category: Correlation Analysis
- Category: Statistical Methods
- Category: Regression Analysis
- Category: Statistical Software
- Category: Advanced Analytics
- Category: Bayesian Statistics
