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Visualizing Data & Communicating Results in R with RStudio
  • 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 limited coding experience, providing foundational knowledge of data visualizations and R Markdown. The modules in this course cover different types of visualization models such as bar charts, histograms, and heat maps as well as R Markdown. Completion of the previous course (Data Analysis in R with RStudio & Tidyverse) in this specialization or similar experience is recommended. 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

Comparison Charts

    • 2 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Comparison Charts

2 Readings

  • Navigating Codio Assignments
  • Comparison Charts Lesson Notes (Optional Download)

Composition Charts

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Composition Charts

1 Readings

  • Composition Charts Lesson Notes (Optional Download)

Coding Exercises

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Creating Comparison and Composition Charts Coding Exercises

1 Readings

  • How to Reset an Assignment in Codio

Scatter Plots

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Scatter Plots

1 Readings

  • Scatter Plots Lesson Notes (Optional Download)

Box Plots & Histograms

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Box Plots & Histograms

1 Readings

  • Box Plots & Histograms Lesson Notes (Optional Download)

Coding Exercises

    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Creating Distribution Charts Coding Exercises

Specialized Visualizations

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Specialized Visualizations

1 Readings

  • Specialized Visualizations Lesson Notes (Optional Download)

Coding Exercises

    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Creating Specialized Visualizations Coding Exercises

Presenting Data as a Document or Report

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Presenting Data as a Document or Report

1 Readings

  • Presenting Data as a Document or Report Lesson Notes (Optional Download)

Presenting Data as a Presentation

    • 1 Readings
    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Presenting Data as a Presentation

1 Readings

  • Presenting Data as a Presentation Lesson Notes (Optional Download)

Presenting Interactive Data

    • 1 Readings
    • 1 ExternalTool
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1 External Tool

  • Codio: Presenting Interactive Data

1 Readings

  • Presenting Interactive Data Lesson Notes (Optional Download)

Practice Exercises

    • 1 ExternalTool
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1 External Tool

  • Codio: Communicating Data Using R Markdown Practice Exercises

Lab

    • 1 ExternalTool
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1 External Tool

  • Codio: Visualizing Data and Communicating Results with R Lab

Auto Summary

Unlock the power of data visualization with "Visualizing Data & Communicating Results in R with RStudio" on Coursera. Perfect for beginners, this foundational course dives into bar charts, histograms, heat maps, and R Markdown. Enjoy a hands-on, video-free learning experience with instant feedback through interactive assessments and coding exercises. With a cumulative lab to apply your skills, this 600-hour course offers both Starter and Professional subscription options. Ideal for those with some prior R experience or completion of the prerequisite course.

Anh Le
Instructor

Anh Le