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Statistical Modeling for Data Science Applications
Master statistical modeling techniques for data science, from regression analysis to experimental design. Perfect for advanced analytics.
Course Cost
₹ 5,199
Intermediate
Skill Level
126 Hours
Self-paced lessons
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.
4,985 Enrolled
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4,985 Enrolled
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:
126 Hours PreRecorded video
Auto-graded and peer reviewed Jupyter Notebook assignments
Access on Mobile, Desktop
FullTime access
Shareable certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 courses in this program
Modern Regression Analysis in R
Course 1 · 43 Hours to complete · 6 modules
ANOVA and Experimental Design
Course 2 · 38 Hours to complete · 4 modules
Generalized Linear Models and Nonparametric Regression
Course 3 · 40 Hours to complete · 4 modules
Fee Structure
Payment options
Financial Aid
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Frequently asked Questions
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