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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Data Visualization & Dashboarding with R
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Spezialisierung Data Visualization & Dashboarding with RJohns Hopkins UniversityÜber diesen Kurs
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Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 1 von 5 in
Stufe „Anfänger“
Ca. 12 Stunden zum Abschließen
Englisch
Untertitel: Englisch
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 1 von 5 in
Stufe „Anfänger“
Ca. 12 Stunden zum Abschließen
Englisch
Untertitel: Englisch
von
Johns Hopkins University
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.
Lehrplan - Was Sie in diesem Kurs lernen werden
4 Stunden zum Abschließen
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 Stunden zum Abschließen
8 Videos (Gesamt 40 min), 7 Lektüren, 5 Quiz
4 Stunden zum Abschließen
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 Stunden zum Abschließen
5 Videos (Gesamt 27 min), 7 Lektüren, 3 Quiz
4 Stunden zum Abschließen
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 Stunden zum Abschließen
3 Videos (Gesamt 15 min), 8 Lektüren, 4 Quiz
Bewertungen
- 5 stars85,02 %
- 4 stars10,77 %
- 3 stars2,99 %
- 1 star1,19 %
Top-Bewertungen von GETTING STARTED WITH DATA VISUALIZATION IN R
von RR20. März 2021
Good exercises and great format having peer-reviewed submissions. Might have done visualizaiton in base R, first, but otherwise great intro.
von OE29. Dez. 2020
Great for learning data wrangling and visualization
von AJ22. Dez. 2020
This is a great introductory course to R and data visualization in R.
von TL29. Jan. 2021
very informative and easy xplanation course. Very helpful in analyasis
Über den Spezialisierung 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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