University of Michigan - Arranging and Visualizing Data in R
- Offered byCoursera
Arranging and Visualizing Data in R at Coursera Overview
Duration | 19 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Arranging and Visualizing Data in R at Coursera Highlights
- Earn a certificate of completion
- Add to your LinkedIn profile
Arranging and Visualizing Data in R at Coursera Course details
- What you'll learn
- Become knowledgeable about and conversant in the R environment
- Format and manipulate data within R into suitable formats
- Develop an intuition for doing exploratory data analysis
- Develop a workflow in R
- This course provides a first look at the R statistical environment. Beginning with step-by-step instructions on downloading and installing the software, learners will first practice navigating R and its companion, RStudio. Then, they will read data into the R environment and prepare it for summary and analysis. A wide variety of concepts will be covered, including sorting rows of data, grouping by variables, summarizing over variables, pivoting, and creating new variables. Then, learners will visualize their data, creating publication-ready plots with relatively little effort. Finally, learners will understand how to set up a project workflow for their own analyses. All concepts taught in this course will be covered with multiple modalities: slide-based lectures, guided coding practice with the instructor, and independent but structured practice.
Arranging and Visualizing Data in R at Coursera Curriculum
Become knowledgeable about and conversant in the R environment
Data Science for Health Research: Specialization Introduction
Working with data in R
Course Roadmap
R and RStudio: What they are and how to get them Part 1
R and RStudio: What they are and how to get them Part 2
Objects and Assignments in R
Scripts
Installing R Packages
RStudio Projects
Meet Your Instructor
Welcome & Course Syllabus
Pre-Course Survey
Introduction to and how to use Independent Guides
The Global Findex Report 2017 [PDF]
1.2 Independent Guide
1.3 Independent Guide
Reminder: Global Findex Database 2017
1.1 Practice Quiz
1.2 Practice Quiz
1.3 Practice Quiz
Module 1 Quiz
Meet Your Fellow Global Classmates
Format and manipulate data within R into suitable formats
Using the Tidyverse to Read in your Data
Filter
Grouping and Summarizing
Grouping and Summarizing Guided Practice
Understanding R Functions (1)
Data Pivoting
Data Pivoting Guided Practice
Creating New Variables with Mutate
Creating New Variables with Mutate Guided Practice
Selecting Variables and Arranging Rows
Selecting Variables and Arranging Rows Guided Practice
Joining Data
Joining Data Guided Practice
Understanding R Functions (2)
Understanding R Functions (2) Guided Practice
2.1 Independent Guide
R for Data Science: Chapter 11
2.1 Post-Quiz code document
2.2 Independent Guide
R for Data Science: Chapter 5
Introduction to weighted.mean Function
2.2 Post-Quiz Code Document
2.3 Independent Guide
R for Data Science: Chapter 12 & 5
2.3 Post-Quiz Code Document
2.4 Independent Guide
R for Data Science: Chapter 13
2.4 Post-Quiz Code Document
2.1 Practice Quiz
2.2 Practice Quiz
2.3 Practice Quiz
2.4 Practice Quiz
Module 2 Quiz
Module 2 Reflection
Develop intuition for doing exploratory data analysis
Visualizing Data in ggplot2
The Grammar of Graphics
The Grammar of Graphics Guided Practice
A First Look at Geoms
A First Look at Geoms Guided Practice
Layering Geoms and Optional Aesthetics
Layering Geoms and Optional Aesthetics Guided Practice
Histograms
Histograms Guided Practice
Bar Plots
Bar Plots Guided Practice
Boxplots
Boxplots Guided Practice
Complex Plots with Tidy Code
Complex Plots with Tidy Code Guided Practice
Tidy Plots
Tidy Plots Guided Practice
Faceting
Faceting Guided Practice
3.1 Independent Guide
ggplot2: Chapter 2
Countries by Income Category
3.2 Independent Guide
ggplot2: Chapter 4
3.3 Independent Guide
ggplot2: Chapters 10, 11, 12, 17
3.1 Practice Quiz
3.2 Practice Quiz
3.3 Practice Quiz
Module 3 Quiz
Develop a workflow in R
Sharing your Work
Sharing your Work Guided Practice
R Markdown
R Markdown Guided Practice
Working with Data in R: Altogether
4.1 Independent Guide
4.2 Independent Guide
Bonus Independent Guide
Post-Course Survey
New Quiz
Recreated Indicator Table and Figure 1.1
Arranging and Visualizing Data in R at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
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