Fitting Statistical Models to Data with Python
Completed by Abhinav Srivastava
April 12, 2020
14 hours (approximately)
Abhinav Srivastava's account is verified. Coursera certifies their successful completion of Fitting Statistical Models to Data with Python
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 Inference
- Category: Exploratory Data Analysis
- Category: Advanced Analytics
- Category: Statistical Programming
- Category: Logistic Regression
- Category: Bayesian Statistics
- Category: Statistical Analysis
- Category: Dependency Analysis
- Category: Data Analysis
- Category: Statistical Software
- Category: Statistical Modeling
- Category: Regression Analysis
