Master statistical modeling techniques for data science, from regression analysis to experimental design. Perfect for advanced analytics.
Master statistical modeling techniques for data science, from regression analysis to experimental design. Perfect for advanced analytics.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Statistical Modeling for Data Science Applications Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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(39 ratings)
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English
What you'll learn
Master regression analysis for modeling relationships and making predictions
Conduct experiments using best practices in experimental design
Apply generalized linear and additive models to real-world problems
Analyze and interpret complex statistical models
Implement statistical techniques using R programming
Develop proficiency in experimental data analysis
Skills you'll gain
This course includes:
120 Hours PreRecorded video
Auto-graded and peer reviewed Jupyter Notebook assignments
Access on Mobile, Desktop
FullTime access
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There are 3 courses in this program
Introduction to Corporate Finance (Chinese)
Course 1 · 8 Hours to complete · 4 modules
Advanced Tableau - Data Model
Course 2 · 4 Hours to complete · 6 modules
Diseño e innovación de modelo de negocios
Course 3 · 27 Hours to complete · 4 modules
Fee Structure
Payment options
Financial Aid
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