- Probability & Statistics
- General Statistics
- Data Analysis
- Probability Distribution
- Python Programming
- Statistical Programming
- Mathematics
- Regression
- Data Visualization
- Computer Programming
- Bayesian Statistics
March 6, 2024
Approximately 1 months at 10 hours a week to completeGörkem Saylam's account is verified. Coursera certifies their successful completion of University of Michigan Statistics with Python Specialization.
Course Certificates Completed
Understanding and Visualizing Data with Python
Inferential Statistical Analysis with Python
Fitting Statistical Models to Data with Python
Create and interpret data visualizations using the Python programming language and associated packages & libraries
Apply and interpret inferential procedures when analyzing real data
Apply statistical modeling techniques to data (ie. linear and logistic regression, linear models, multilevel models, Bayesian inference techniques)
Understand importance of connecting research questions to data analysis methods.
Earned after completing each course in the Specialization
University of Michigan
Taught by: Brenda Gunderson, Brady T. West & Kerby Shedden
Completed by: Görkem Saylam by March 3, 2024
4 weeks of study, 4-6 hours/week
University of Michigan
Taught by: Brenda Gunderson, Brady T. West & Kerby Shedden
Completed by: Görkem Saylam by March 6, 2024
4 weeks of study, 4-6 hours/week
University of Michigan
Taught by: Brenda Gunderson, Brady T. West & Kerby Shedden
Completed by: Görkem Saylam by March 3, 2024
4 weeks; 4-6 hours/week