Fitting Statistical Models to Data with Python
Completed by SHUKRIT SINGH KUSHWAH
March 9, 2020
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: Bayesian Statistics
- Category: Statistical Inference
- Category: Model Evaluation
- Category: Regression Analysis
- Category: Statistical Analysis
- Category: Statistical Modeling
- Category: Data Visualization Software
- Category: Statistical Machine Learning
- Category: Statistical Methods
- Category: Predictive Modeling
- Category: Jupyter
- Category: Statistical Programming
