Advanced Statistics for Data Science
Master fundamental statistical concepts and linear models for data science with Johns Hopkins University's comprehensive specialization.
Master fundamental statistical concepts and linear models for data science with Johns Hopkins University's comprehensive specialization.
This advanced specialization offers in-depth coverage of probability, statistics, and linear models essential for data science. Designed for mathematically sophisticated learners, the program covers statistical inference, linear regression, and advanced modeling techniques using R. Through four comprehensive courses, students develop a strong theoretical foundation while gaining practical skills in statistical analysis and model building.
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English
বাংলা, Tiếng Việt, پښتو, 3 more
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What you'll learn
Master fundamental concepts in probability and statistical inference
Develop expertise in linear regression and statistical modeling
Understand matrix algebra applications in linear models
Apply advanced statistical methods using R programming
Gain proficiency in hypothesis testing and confidence intervals
Master least squares from a linear algebraic perspective
Skills you'll gain
This course includes:
37 Hours PreRecorded video
Rigorous graded quizzes
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 courses in this program
Análisis Multivariable en SPSS
Course 1 · 5 Weeks to complete · 5 modules
Core Elements of Population Health Practice
Course 2 · 12 Hours to complete · 4 modules
Curiosity: A Necessary Ingredient for Successful Innovation
Course 3 · 19 Hours to complete · 5 modules
Introduction to Quality Improvement in Healthcare
Course 4 · 21 Hours to complete · 4 modules
Fee Structure
Payment options
Financial Aid
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