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Data Analysis in R with RStudio & Tidyverse
  • Level Foundation
  • Duration 10 hours
  • Course by Codio
  • Offered by

About

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.

Modules

Variables

    • 2 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Variables

2 Readings

  • Navigating Codio Assignments
  • Variables Lesson Notes (Optional Download)

Using Statistical Functions on Vectors

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Using Statistical Functions on Vectors

1 Readings

  • Using Statistical Functions on Vectors Lesson Notes (Optional Download)

Coding Exercises

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Describing a Numerical Data Set Coding Exercises

1 Readings

  • How to Reset an Assignment in Codio

Wrangling Data with Tidyverse

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Wrangling Data with Tidyverse

1 Readings

  • Wrangling Data with Tidyverse Lesson Notes (Optional Download)

Data Frames

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Data Frames

1 Readings

  • Data Frames Lesson Notes (Optional Download)

Coding Exercises

    • 1 ExternalTool
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1 External Tool

  • Codio: Importing and Describing Mixed Data Sets Coding Exercises

Comparison Tests

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Comparison Tests

1 Readings

  • Comparison Tests Lesson Notes (Optional Download)

Coding Exercises

    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Using Statistical Tests to Compare Populations Coding Exercises

Correlation Tests

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Correlation Tests

1 Readings

  • Correlation Tests Lesson Notes (Optional Download)

Regression Analysis

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Regression Analysis

1 Readings

  • Regression Analysis Lesson Notes (Optional Download)

Coding Exercises

    • 1 ExternalTool
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1 External Tool

  • Codio: Using Statistical Tests to Describe Relationships Coding Exercises

Lab

    • 1 ExternalTool
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1 External Tool

  • Codio: R Data Analysis Lab

Auto Summary

Discover the fundamentals of data analysis in R with RStudio and Tidyverse through this beginner-friendly course designed for those with no prior coding experience. Led by Coursera, this hands-on, video-free course covers descriptive statistics, data wrangling, and statistical testing, all within RStudio. Engage with interactive assignments and instant feedback, and culminate your learning with a real-world lab. Enjoy flexible learning with Starter and Professional subscription options over a 600-minute duration, perfect for aspiring data scientists and AI enthusiasts.

Anh Le
Instructor

Anh Le