This Specialization by Johns Hopkins University is designed for data scientists familiar with R, aiming to leverage the Tidyverse for data science. Through 5 courses, participants will master importing, wrangling, visualizing, and modeling data using the powerful Tidyverse framework.
What You'll Learn:
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The Tidyverse Skills for Data Science in R course modules cover introduction to the Tidyverse, importing data, data wrangling, data visualization, and data modeling with a focus on practical application.
Participants will learn to distinguish between tidy and non-tidy data and describe the Tidyverse ecosystem of packages. They will also gain the skills to organize and initialize a data science project.
Students will be able to describe different data formats, apply Tidyverse functions to import data into R from external formats, and obtain data from a web API.
Participants will apply Tidyverse functions to transform non-tidy data to tidy data, conduct basic exploratory data analysis, and analyze text data.
Students will distinguish between various types of plots and their uses, use the ggplot2 R package to develop data visualizations, build effective data summary tables, and create data animations for visual storytelling.
Participants will describe different types of data analytic questions, conduct hypothesis tests of data, apply linear modeling techniques to answer multivariable questions, and apply machine learning workflows to detect complex patterns in data.
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