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Arranging and Visualizing Data in R
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Arranging and Visualizing Data in R

Master R programming for data manipulation and visualization in health research using tidyverse and ggplot2.

Course Cost

Free course

Beginner

Skill Level

17 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Science for Health Research Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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What you'll learn

  • Navigate R and RStudio environment effectively

  • Format and manipulate data using tidyverse functions

  • Create professional visualizations with ggplot2

  • Develop structured workflows for data analysis

  • Share results through RMarkdown reports

Skills you'll gain

R Programming
Data Visualization
Data Wrangling
Exploratory Analysis
tidyverse
ggplot2
Data Manipulation
Statistical Computing
Health Research
RStudio

This course includes:

6.57 Hours PreRecorded video

13 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This comprehensive course introduces learners to the R statistical environment, focusing on data manipulation and visualization for health research. Students begin with R and RStudio basics, then progress through data wrangling using tidyverse packages. The curriculum covers essential skills including data filtering, grouping, summarizing, and pivoting. Advanced topics include creating publication-ready plots with ggplot2 and establishing efficient project workflows. All concepts are taught through multiple modalities including lectures, guided coding practice, and independent exercises using real-world health data.

Become knowledgeable about and conversant in the R environment

Module 1 · 3 Hours to complete

Format and manipulate data within R into suitable formats

Module 2 · 6 Hours to complete

Develop intuition for doing exploratory data analysis

Module 3 · 6 Hours to complete

Develop a workflow in R

Module 4 · 2 Hours to complete

Fee Structure

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Arranging and Visualizing Data in R

Beginner

Skill Level

17 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.