Data Visualization Capstone

Seize the savings! Get 40% off 3 months of Coursera Plus and full access to thousands of courses.

Data Visualization Capstone

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

Instructor: Collin Paschall

2,908 already enrolled

Included with

Learn more

3 modules

Gain insight into a topic and learn the fundamentals.

36 reviews

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

36 reviews

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments¹

AI Graded see disclaimer

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

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

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

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 is the final course in the Specialization "Data Visualization and Dashboarding in R." Learners in this course will enter with a well-developed set of skills making a wide variety of visualizations in R. The focus on this course will applying those skills to a unique project, drawing on publicly available data to tell a compelling story using the data visualization toolkit assembled in the previous courses.

In this module, we will review the requirements for the capstone project and some possible souces for data. Then, we have a very fast overview of resources on good data visualization practice.

What's included

6 videos10 readings2 peer reviews

6 videos Total 24 minutes

Welcome to the Course and Project Overview 2 minutes
Project Overview and Tips for Locating Data 6 minutes
Data Import 3 minutes
Data Viz Pointers 6 minutes
Anscombe's Quartet and DatasauRus 2 minutes
More Best Practices and Readings Overview 5 minutes

10 readings Total 100 minutes

Many Data Sources 10 minutes
R for Data Science, Data Import 10 minutes
Data Import Cheat Sheet 10 minutes
R Graph Gallery 10 minutes
UC Berkeley Data Viz Guide 10 minutes
Duke University, Data Viz Guide 10 minutes
Healy, Chapter 1 10 minutes
Clause Wilke text, Chapters 4 and 5 10 minutes
EEA Guide 10 minutes
Junk Charts 10 minutes

2 peer reviews Total 240 minutes

Visualization Critique #1 60 minutes
Project Proposal 180 minutes

In this module, we will review the requirements for the second component of your capstone project, where you will demonstrate that your data is ready for visualization. Then, we (re)introduce some important tools for cleaning data in R.

What's included

5 videos11 readings4 assignments1 peer review

5 videos Total 19 minutes

Week 2 Overview 2 minutes
Strings 5 minutes
Lubridate 3 minutes
Factors 3 minutes
Joins and Pivots 7 minutes

11 readings Total 110 minutes

stringr Cheat Sheet 10 minutes
Getting Started with stringr 10 minutes
R for Data Science, Strings 10 minutes
Peng, R Programming for Data Science, Regular Expressions 10 minutes
R for Data Science, Ch. 16 10 minutes
Lubridate Cheat Sheet 10 minutes
Lubridate Reference, Intro 10 minutes
R for Data Science, Factors 10 minutes
Introduction to forcats 10 minutes
Relational Data 10 minutes
R for Data Science, Tidy Data 10 minutes

4 assignments Total 20 minutes

stringr quiz 5 minutes
lubridate quiz 5 minutes
forcats quiz 5 minutes
Tidying Data Quiz 5 minutes

1 peer review Total 240 minutes

Upload Your Data 240 minutes

In this module, you will do one more visualization critique, and the rest of your time in the week should be devoted to finishing your capstone project.

What's included

2 peer reviews

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Instructor ratings

(13 ratings)

Collin Paschall

Johns Hopkins University

5 Courses 44,445 learners

Offered by

Johns Hopkins University

Explore more from Data Analysis

Status: Free Trial
Johns Hopkins University
Advanced Data Visualization with R
Course
Status: Free Trial
University of Michigan
Capstone: Retrieving, Processing, and Visualizing Data with Python
Course
Status: Free Trial
Johns Hopkins University
Publishing Visualizations in R with Shiny and flexdashboard
Course
Status: Free Trial
Johns Hopkins University
Getting Started with Data Visualization in R
Course

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

5 stars
97.22%
4 stars
2.77%
3 stars
0%
2 stars
0%
1 star
0%

Showing 3 of 36

Reviewed on Jul 23, 2021

Very excellent course if you want to know everything about data visualization

Reviewed on May 10, 2021

This entire course (specialization) is excellent. The skills learnt from the specialization are quite useful in real work. Program materials are well structured. Thumbs up.

Reviewed on Jun 17, 2021

Great course! very challenging but it's worth every second. Many thanks to the Instructor who is always available to address issues.

View more reviews

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Learn more

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Explore degrees

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Learn more

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. 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.

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.

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.