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.
Este curso faz parte do Programa de cursos integrados Data Visualization & Dashboarding with R
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Programa de cursos integrados Data Visualization & Dashboarding with RUniversidade Johns HopkinsInformações sobre o curso
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Prazos flexíveis
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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível iniciante
Aprox. 12 horas para completar
Inglês
Legendas: Inglês
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível iniciante
Aprox. 12 horas para completar
Inglês
Legendas: Inglês
oferecido por
Universidade Johns Hopkins
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Programa - O que você aprenderá com este curso
4 horas para concluir
Getting Started with Data Management and Visualization with R
In this module, we will get set up with R to process data for visualizations. 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.
4 horas para concluir
8 vídeos (Total 40 mín.), 7 leituras, 5 testes
4 horas para concluir
Using the Tidyverse packages
In this module, we will use functions from the tidyverse to manipulate data. 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.
4 horas para concluir
5 vídeos (Total 27 mín.), 7 leituras, 3 testes
4 horas para concluir
Using R Markdown to Make Reports
In this module, we learn to make reproducible reports using R Markdown. 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. Then, at the end of the module, you will submit an assignment for peer review that covers all of the material in this course.
4 horas para concluir
3 vídeos (Total 15 mín.), 8 leituras, 4 testes
Avaliações
- 5 stars85,02%
- 4 stars10,77%
- 3 stars2,99%
- 1 star1,19%
Principais avaliações do GETTING STARTED WITH DATA VISUALIZATION IN R
por AH21 de jun de 2021
Very helpful course for people of all disciplines.
por EL8 de jun de 2021
I very much appreciate Colin's style and pace. This course is really well done and I would recommend highly !
por AJ22 de dez de 2020
This is a great introductory course to R and data visualization in R.
por OE29 de dez de 2020
Great for learning data wrangling and visualization
Sobre Programa de cursos integrados Data Visualization & Dashboarding with R
This Specialization is intended for learners seeking to develop the ability to visualize data using R. Through five courses, you will use R to create static and interactive data visualizations and publish them on the web, which will you prepare you to provide insight to many types of audiences.
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