Tidyverse Skills for Data Science in R

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Tidyverse Skills for Data Science in R provided by Coursera is a comprehensive online course, which lasts for 30 weeks long, 3 hours a week. Tidyverse Skills for Data Science in R is taught by Carrie Wright, PhD, Roger D. Peng, PhD, Shannon Ellis, PhD and Stephanie Hicks, PhD. Upon completion of the course, you can receive an e-certificate from Coursera. The course is taught in Englishand is Paid Course. Visit the course page at Coursera for detailed price information.

Overview
  • This Specialization is intended for data scientists with some familiarity with the R programming language who are seeking to do data science using the Tidyverse family of packages. Through 5 courses, you will cover importing, wrangling, visualizing, and modeling data using the powerful Tidyverse framework. The Tidyverse packages provide a simple but powerful approach to data science which scales from the most basic analyses to massive data deployments. This course covers the entire life cycle of a data science project and presents specific tidy tools for each stage.

Syllabus
  • Course 1: Introduction to the Tidyverse
    - Offered by Johns Hopkins University. This course introduces a powerful set of data science tools known as the Tidyverse. The Tidyverse has ... Enroll for free.

    Course 2: Importing Data in the Tidyverse
    - Offered by Johns Hopkins University. Getting data into your statistical analysis system can be one of the most challenging parts of any data ... Enroll for free.

    Course 3: Wrangling Data in the Tidyverse
    - Offered by Johns Hopkins University. Data never arrive in the condition that you need them in order to do effective data analysis. Data need ... Enroll for free.

    Course 4: Visualizing Data in the Tidyverse
    - Offered by Johns Hopkins University. Data visualization is a critical part of any data science project. Once data have been imported and ... Enroll for free.

    Course 5: Modeling Data in the Tidyverse
    - Offered by Johns Hopkins University. Developing insights about your organization, business, or research project depends on effective ... Enroll for free.