Statistics with Python
Master statistical analysis with Python through data visualization, inference, and modeling. Learn practical skills from University of Michigan experts.
Master statistical analysis with Python through data visualization, inference, and modeling. Learn practical skills from University of Michigan experts.
This comprehensive specialization teaches statistical analysis using Python programming. Students learn data collection methods, visualization techniques, and statistical modeling. The program covers essential topics from basic data exploration to advanced inference methods and modeling procedures. Through hands-on projects and practical assignments, learners develop skills in creating visualizations, conducting statistical tests, and applying modeling techniques like linear regression and Bayesian inference. The curriculum emphasizes connecting research questions to appropriate analytical methods, making it ideal for those seeking to build a strong foundation in statistical analysis.
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English
বাংলা, Tiếng Việt, پښتو, 4 more
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What you'll learn
Create and interpret data visualizations using Python
Apply statistical inference methods to real data analysis
Conduct hypothesis testing and create confidence intervals
Develop and interpret statistical models including regression
Connect research questions to appropriate analytical methods
Use Python libraries for statistical analysis and visualization
Skills you'll gain
This course includes:
40 Hours PreRecorded video
Access on Mobile
FullTime access
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There are 3 courses in this program
Understanding and Visualizing Data with Python
Course 1 · 19 Hours to complete · 4 modules
Inferential Statistical Analysis with Python
Course 2 · 21 Hours to complete · 4 modules
Fitting Statistical Models to Data with Python
Course 3 · 14 Hours to complete · 4 modules
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