Visualizing Data in the Tidyverse
Tidyverse Skills for Data Science in R,
Data visualization is a critical part of any data science project. Once data have been imported and wrangled into place, visualizing your data can help you get a handle on what’s going on in the data set. Similarly, once you’ve completed your analysis and are ready to present your findings, data visualizations are a highly effective way to communicate your results to others. In this course we will cover what data visualization is and define some of the basic types of data visualizations. In this course you will learn about the ggplot2 R package, a powerful set of tools for making stunning data graphics that has become the industry standard. You will learn about different types of plots, how to construct effect plots, and what makes for a successful or unsuccessful visualization. In this specialization we assume familiarity with the R programming language. If you are not yet familiar with R, we suggest you first complete R Programming before returning to complete this course.
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Rating | Not enough ratings |
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Length | 5 weeks |
Effort | 4 weeks of study, 4-8 hours/week |
Starts | Jul 3 (43 weeks ago) |
Cost | $49 |
From | Johns Hopkins University via Coursera |
Instructors | Carrie Wright, PhD, Shannon Ellis, PhD, Stephanie Hicks, PhD, Roger D. Peng, PhD |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Data Analysis Probability And Statistics |
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Data Visualization Scientist $51k
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Data Visualization $64k
3D Visualization Specialist $67k
Business Analyst - Data Visualization $70k
Data Visualization Specialist $73k
Data Visualization Architect $81k
Visualization Developer $99k
Data Scientist / Data Visualization $107k
Senior Data Visualization Analyst $123k
Principal Data Visualization Engineer $167k
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Rating | Not enough ratings |
---|---|
Length | 5 weeks |
Effort | 4 weeks of study, 4-8 hours/week |
Starts | Jul 3 (43 weeks ago) |
Cost | $49 |
From | Johns Hopkins University via Coursera |
Instructors | Carrie Wright, PhD, Shannon Ellis, PhD, Stephanie Hicks, PhD, Roger D. Peng, PhD |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Data Science Mathematics |
Tags | Data Science Data Analysis Probability And Statistics |
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