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Tidyverse Fundamentals in R

Import and tidy data, wrangle and visualize data, and model and communicate with data in R with the tidyverse.
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RData Manipulation20 hours

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Track Description

Tidyverse Fundamentals in R

Experience the whole data science pipeline, from importing and tidying data to wrangling and visualizing data to modeling and communicating with data. Gain exposure to each component of this pipeline from a variety of different perspectives in this tidyverse R track. You’ll start by exploring the fundamentals of the tidyverse, a collection of data science tools within R. Here, you’ll learn how to use the tidyverse to analyze and visualize your own data. You’ll cover how to reshape data with tidyr, and how to complete linear regressions in a tidy framework. As you progress, you’ll use your skills and knowledge to perform analysis on real data sets, learning how to use tidyverse tools to visualize and communicate your findings. By the time you finish, you’ll have explored several tools in the tidyverse and have the confidence to work with data sets using these tools.

Prerequisites

There are no prerequisites for this track

  • Course

    1

    Introduction to the Tidyverse

    Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

  • Project

    bonus

    Analyze the Popularity of Programming Languages

    Analyze the relative popularity of programming languages over time based on Stack Overflow data.

  • Course

    4

    Modeling with Data in the Tidyverse

    Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

  • Course

    6

    Categorical Data in the Tidyverse

    Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey responses, using the Tidyverse landscape.

Tidyverse Fundamentals in R
5 courses
Track
Complete

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