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Data ScienceAll Levels

Data Analysis in R with RStudio & Tidyverse

Code and run your first R program in minutes without installing anything! This course is designed for learners with no prior coding experience, providing...

By Anh Le on Coursera

About This Course

Code and run your first R program in minutes without installing anything! This course is designed for learners with no prior coding experience, providing foundational knowledge of data analysis in R. The modules in this course cover descriptive statistics, importing and wrangling data, and using statistical tests to compare populations and describe relationships. This course presents examples in R using the industry-standard Integrated Development Environment (IDE) RStudio. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, a cumulative lab at the end of the course will provide you an opportunity to apply all learned concepts within a real-world context.

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Frequently Asked Questions

How much does Data Analysis in R with RStudio & Tidyverse cost?

Visit the Data Analysis in R with RStudio & Tidyverse course page for current pricing and available discounts.

Who teaches Data Analysis in R with RStudio & Tidyverse?

Data Analysis in R with RStudio & Tidyverse is taught by Anh Le, Codio.

What skill level is Data Analysis in R with RStudio & Tidyverse for?

This course is designed for all levels learners.

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Students0
Duration3 hours
LevelAll Levels
Languageen
PlatformCoursera
InstructorAnh Le