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Johns Hopkins University

Tidyverse Skills for Data Science in R

Johns Hopkins University via Coursera Specialization

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.

Courses

Taught by

Carrie Wright, PhD, Roger D. Peng, PhD, Shannon Ellis, PhD and Stephanie Hicks, PhD

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