Importing Data in the Tidyverse

This course is part of Tidyverse Skills for Data Science in R Specialization

Instructors: Shannon Ellis, PhD +3 more

Instructor ratings

We asked all learners to give feedback on our instructors based on the quality of their teaching style.

What you'll learn

  •   Describe different data formats
  •   Apply Tidyverse functions to import data into R from external formats
  •   Obtain data from a web API

    • Skills you'll gain

  •   Extensible Markup Language (XML)
  •   Unstructured Data
  •   R Programming
  •   Data Integration
  •   Databases
  •   Data Storage
  •   Relational Databases
  •   Data Transformation
  •   Application Programming Interface (API)
  •   Spreadsheet Software
  •   SQL
  •   Google Sheets
  •   Data Import/Export
  •   Tidyverse (R Package)
  •   Data Manipulation
  •   Web Scraping

    • There are 6 modules in this course

    This course introduces the Tidyverse tools for importing data into R so that it can be prepared for analysis, visualization, and modeling. Common data formats are introduced, including delimited files, spreadsheets and relational databases, and techniques for obtaining data from the web are demonstrated, such as web scraping and web APIs. 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.

    JSON, XML, and Databases

    Web Scraping and APIs

    Foreign Formats, Images, and googledrive

    Case Studies

    Project: Importing Data into R

    Explore more from Data Analysis

    Data Tidying and Importing with R

    Wrangling Data in the Tidyverse

    Introduction to the Tidyverse

    Tidyverse Skills for Data Science in R

    ©2025  ementorhub.com. All rights reserved