Data Analysis in R with RStudio & Tidyverse
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Data Analysis in R with RStudio & Tidyverse
This course is part of Data Science and Analysis Tools - from Jupyter to R Markdown Specialization
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What you'll learn
Describe a numerical data set using statistical functions in R
Import and manipulate data sets using Tidyverse
Determine if populations are different using statistical tests
Use statistical tests to describe or explain the relationship between data sets
Skills you'll gain
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There are 5 modules in 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.
Create and store data in variables as well as apply functions on them.
What's included
4 readings3 app items
4 readings•Total 12 minutes
- Navigating Codio Assignments•5 minutes
- Variables Lesson Notes (Optional Download)•1 minute
- Using Statistical Functions on Vectors Lesson Notes (Optional Download)•1 minute
- How to Reset an Assignment in Codio•5 minutes
3 app items•Total 120 minutes
- Codio: Describing a Numerical Data Set Coding Exercises•40 minutes
- Codio: Variables•40 minutes
- Codio: Using Statistical Functions on Vectors•40 minutes
Import, extract, and use built-in functions on a data set(s).
What's included
2 readings3 app items
2 readings•Total 11 minutes
- Wrangling Data with Tidyverse Lesson Notes (Optional Download)•1 minute
- Data Frames Lesson Notes (Optional Download)•10 minutes
3 app items•Total 120 minutes
- Codio: Importing and Describing Mixed Data Sets Coding Exercises•40 minutes
- Codio: Wrangling Data with Tidyverse•40 minutes
- Codio: Data Frames•40 minutes
Use statistical tests to compare data between different populations or groups or among the same.
What's included
1 reading2 app items
1 reading•Total 1 minute
- Comparison Tests Lesson Notes (Optional Download)•1 minute
2 app items•Total 120 minutes
- Codio: Using Statistical Tests to Compare Populations Coding Exercises•60 minutes
- Codio: Comparison Tests•60 minutes
Use statistical tests to describe if a relationship exists between data sets or not.
What's included
2 readings3 app items
2 readings•Total 2 minutes
- Correlation Tests Lesson Notes (Optional Download)•1 minute
- Regression Analysis Lesson Notes (Optional Download)•1 minute
3 app items•Total 140 minutes
- Codio: Using Statistical Tests to Describe Relationships Coding Exercises•60 minutes
- Codio: Correlation Tests•40 minutes
- Codio: Regression Analysis•40 minutes
Import, extract, and perform calculations on a data set.
What's included
1 app item
1 app item•Total 60 minutes
- Codio: R Data Analysis Lab•60 minutes
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Reviewed on Jan 24, 2022
If you going to take a Biostatistics course, add this course to the list, it is extremely helpful.
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