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.