Lecturer IV and Research Fellow
3 Learning Experiences
Statistics with Python
What You'll Learn
- Create and interpret data visualizations using the Python programming language and associated packages & libraries
- Apply statistical modeling techniques to data (ie. linear and logistic regression, linear models, multilevel models, Bayesian inference techniques)
- Apply and interpret inferential procedures when analyzing real data
- Understand importance of connecting research questions to data analysis methods
3-Course Series
57 hours
19 hours per course (approx.)
Shareable Certificate
Add to your LinkedIn profile
About Statistics with Python
This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.
Skills You'll Gain
- Pandas (Python Package)
- Python (Programming Language)
- Linear Regression
- Descriptive Statistics
- Bayesian Statistics
- Data Literacy
- Probability Distribution
- Python For Data Analysis
- Data Analysis
- Statistical Programming
What You'll Earn
- Certificate of Completion
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Research Associate Professor
6 Learning Experiences
Professor
3 Learning Experiences
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
High school-level algebra.
Series Video
3 Courses in this series
-
Free U-M Access CourseUnderstanding and Visualizing Data with Python
Learn statistical fundamentals, including study design, data visualization, and inference, while using Python tools like Pandas and Matplotlib to analyze data.
-
Free U-M Access CourseInferential Statistical Analysis with Python
Build confidence in inferential statistics using Python to estimate population values and test hypotheses with real-world data.
-
Free U-M Access CourseFitting Statistical Models to Data with Python
Learn to fit statistical models using Python and apply regression, Bayesian, and mixed-effects methods to real data.
