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.
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Data Visualization Capstone
This course is part of Data Visualization & Dashboarding with R Specialization
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Instructor: Collin Paschall
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(29 reviews)
(29 reviews)
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There are 3 modules in this course
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
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
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
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Johns Hopkins University
Johns Hopkins University
Johns Hopkins University
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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.
Reviewed on Apr 8, 2022
Excellent course! Great overview of packages and techiniques for making visualizations using R.
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