This course is part of the Data Visualization & Dashboarding with R Specialization

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53 ratings

Collin Paschall

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Data Visualization & Dashboarding with R SpecializationJohns Hopkins University

About this Course

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Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.
This course is the third in the Specialization "Data Visualization and Dashboarding in R."  Learners come into this course with a foundation using R to make many basic kinds of visualization, primarily with the ggplot2 package. Accordingly, this course focuses on expanding the learners' inventory of data visualization options. Drawing on additional packages to supplement ggplot2, learners will made more variants of traditional figures, as well as venture into spatial data. The course ends make interactive and animated figures.

To fill that need, this course is intended for learners who have little or no experience with R but who are looking for an introduction to this tool. By the end of this course, students will be able to import data into R, manipulate that data using tools from the popular tidyverse package, and make simple reports using R Markdown. The course is designed for students with good basic computing skills, but limited if any experience with programming.

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Course 3 of 5 in the

Data Visualization & Dashboarding with R Specialization

Approx. 10 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 3 of 5 in the

Data Visualization & Dashboarding with R Specialization

Approx. 10 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.94/5 (20 Ratings)

Collin Paschall

Senior Lecturer

Johns Hopkins University Center for Advanced Governmental Studies

17,536 Learners

5 Courses

Offered by

Johns Hopkins University

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Syllabus - What you will learn from this course

Week1

Week 1

5 hours to complete

Advanced Figures with ggplot2

In this module, we will work through making a number of different figures using ggplot2 and a few additional R packages. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.

5 hours to complete

3 videos (Total 19 min), 12 readings, 4 quizzes

3 videos

Variations on Scatterplots6mVariations on Line Plots4mFlows and Circles7m

12 readings

Note on Previewing Figures in R Studio5mAdding Best Fit Lines20mDrawing Scatterplot Matrices10mCorrelation Plots10mDot Plots20mShading in a line plot10mMaking a stacked area graph10mMaking dumbbell charts10mMaking Alluvial Diagrams20mPacked Circles Figures10mPie Charts10mA Note About Peer Review Assignments10m

3 practice exercises

Scatterplot Variations Quiz5mAdditional Temporal Figures Quiz5mFlows and Circles Quiz5m

Week2

Week 2

3 hours to complete

Spatial Data

In this module, we go through an introduction for making spatial figures (maps) in R. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.

3 hours to complete

4 videos (Total 22 min), 5 readings, 2 quizzes

Week3

Week 3

3 hours to complete

Plotly and gganimate

In this module, we will work on animating figures and making them interactive. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.

3 hours to complete

5 videos (Total 21 min), 4 readings, 3 quizzes

Reviews

4.9

16 reviews

5 stars
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4 stars
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TOP REVIEWS FROM ADVANCED DATA VISUALIZATION WITH R

by OEDec 23, 2020

Great course! Lots of data wrangling and visualization.

by KKJul 15, 2021

This course help me in doing my assignments with beautiful colors of graphs etc. I love it.

by JWAug 15, 2021

My skills have vastly improved in R with this specialization. I've utilized on multiple occasion the tasks here in my professional job.

View all reviews

About the Data Visualization & Dashboarding with R Specialization

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Advanced Data Visualization with R

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