Fitting Statistical Models to Data with Python
Completed by Mariia Oleksandrivna Hulenko
June 3, 2023
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: Advanced Analytics
- Category: Statistical Programming
- Category: Dependency Analysis
- Category: Jupyter
- Category: Statistical Modeling
- Category: Model Evaluation
- Category: Bayesian Statistics
- Category: Statistical Analysis
- Category: Regression Analysis
- Category: Data Visualization Software
- Category: Statistical Software
- Category: Exploratory Data Analysis
