- Python Programming
- Statistical inference methods
- Data Visualization
- Statistical Model
Statistics with Python
Completed by Mark Moretto
April 15, 2020
Approximately 1 months at 10 hours a week to completeMark Moretto'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
What you will learn
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.
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
Understanding and Visualizing Data with Python
University of Michigan
Taught by: Brenda Gunderson, Brady T. West & Kerby Shedden
Completed by: Mark Moretto by March 22, 2020
4 weeks of study, 4-6 hours/week
Inferential Statistical Analysis with Python
University of Michigan
Taught by: Brenda Gunderson, Brady T. West & Kerby Shedden
Completed by: Mark Moretto by April 2, 2020
4 weeks of study, 4-6 hours/week
Fitting Statistical Models to Data with Python
University of Michigan
Taught by: Brenda Gunderson, Brady T. West & Kerby Shedden
Completed by: Mark Moretto by April 15, 2020
4 weeks; 4-6 hours/week