Ementorhub

Tidyverse Skills for Data Science in R Specialization

Develop Insights from Data With Tidy Tools. Import, wrangle, visualize, and model data with the Tidyverse R packages

Instructors: Carrie Wright, PhD +3 more

What you'll learn

Organize a data science project

Import data from common spreadsheet, database, and web-based formats

Wrangle and manipulate messy data and build tidy datasets

Build presentation quality data graphics

Build predictive machine learning models

Skills you'll gain

Data Integration

Data Manipulation

Ggplot2

Sampling (Statistics)

R Programming

Predictive Modeling

Data Import/Export

Statistical Hypothesis Testing

Statistical Modeling

Data Cleansing

Exploratory Data Analysis

Data Visualization Software

Specialization - 5 course series

Learners will engage in a project at the end of each course. Through each project, learners will build an organize a data science project from scratch, import and manipulate data from a variety of data formats, wrangle non-tidy data into tidy data, visualize data with ggplot2, and build machine learning prediction models.

Importing Data in the Tidyverse

Wrangling Data in the Tidyverse

Visualizing Data in the Tidyverse

Modeling Data in the Tidyverse