Data Visualization Capstone

Data Visualization Capstone

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

Instructor: Collin Paschall

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Assessments

4 assignments

Taught in English

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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.

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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 videosTotal 24 minutes

Welcome to the Course and Project Overview2 minutesPreview module
Project Overview and Tips for Locating Data5 minutes
Data Import2 minutes
Data Viz Pointers6 minutes
Anscombe's Quartet and DatasauRus2 minutes
More Best Practices and Readings Overview5 minutes

10 readingsTotal 100 minutes

Many Data Sources10 minutes
R for Data Science, Data Import10 minutes
Data Import Cheat Sheet10 minutes
R Graph Gallery10 minutes
UC Berkeley Data Viz Guide10 minutes
Duke University, Data Viz Guide10 minutes
Healy, Chapter 110 minutes
Clause Wilke text, Chapters 4 and 510 minutes
EEA Guide10 minutes
Junk Charts10 minutes

2 peer reviewsTotal 240 minutes

Project Proposal180 minutes
Visualization Critique #160 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 videosTotal 19 minutes

Week 2 Overview2 minutesPreview module
Strings4 minutes
Lubridate2 minutes
Factors2 minutes
Joins and Pivots6 minutes

11 readingsTotal 110 minutes

stringr Cheat Sheet10 minutes
Getting Started with stringr10 minutes
R for Data Science, Strings10 minutes
Peng, R Programming for Data Science, Regular Expressions10 minutes
R for Data Science, Ch. 1610 minutes
Lubridate Cheat Sheet10 minutes
Lubridate Reference, Intro10 minutes
R for Data Science, Factors10 minutes
Introduction to forcats10 minutes
Relational Data10 minutes
R for Data Science, Tidy Data10 minutes

4 assignmentsTotal 20 minutes

stringr quiz5 minutes
lubridate quiz5 minutes
forcats quiz5 minutes
Tidying Data Quiz5 minutes

1 peer reviewTotal 240 minutes

Upload Your Data240 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

Instructor

Instructor ratings

4.9 (10 ratings)

Collin Paschall

Johns Hopkins University

5 Courses38,476 learners

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Johns Hopkins University

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Reviewed on Oct 31, 2021

A challenging test of hablities, requires some data wrangling and R programming beyond the basics. The visualizations produced are inspiring.

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.

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