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⇱ Data Visualization Capstone | Coursera

Data Visualization Capstone

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Data Visualization Capstone

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Gain insight into a topic and learn the fundamentals.
5.0

38 reviews

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
5.0

38 reviews

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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

2 peer reviews•Total 540 minutes
  • Visualization Critique #2•60 minutes
  • Final Report•480 minutes

Earn a career certificate

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Instructor

Instructor ratings
4.8 (13 ratings)
Johns Hopkins University
5 Courses•45,390 learners

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Showing 3 of 38

JC
·

Reviewed on Apr 8, 2022

Excellent course! Great overview of packages and techiniques for making visualizations using R.

LN
·

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.

AA
·

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.

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.

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