Data Analysis with R Specialization
Master statistical data analysis with R: Learn visualization, hypothesis testing, inference, and linear modeling for effective data-driven decision making.
Master statistical data analysis with R: Learn visualization, hypothesis testing, inference, and linear modeling for effective data-driven decision making.
This comprehensive specialization teaches data analysis using R, covering everything from basic visualization to advanced statistical modeling. Students learn to perform statistical inference, conduct hypothesis tests, interpret p-values, and communicate results effectively. The program includes hands-on projects using R and RStudio, teaching practical skills in data wrangling, visualization, and analysis. Through three interconnected courses, learners develop expertise in exploratory data analysis, probability theory, statistical inference, and linear regression modeling.
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What you'll learn
Install and use R and RStudio for data analysis, analyze and visualize data effectively, perform hypothesis tests and interpret statistical results, fit and utilize regression models, create reproducible data analysis reports, communicate statistical results in context, apply Bayesian and frequentist statistical inference.
Skills you'll gain
This course includes:
40 Hours PreRecorded video
Labs, Projects, Final Project
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 courses in this program
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Course 2 · 6 Hours to complete · 2 modules
Data Management and Visualization
Course 3 · 12 Hours to complete · 5 modules
Fee Structure
Payment options
Financial Aid
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