Tidyverse (R Package)

Tidyverse is a collection of R packages designed for data science. Coursera's Tidyverse catalogue teaches you to effectively handle and manipulate data using the Tidyverse ecosystem. You'll learn everything from data importation, tidying, transformation, modelling, visualisation, to programming in R, leveraging libraries such as ggplot2, dplyr, tidyr, readr, purrr, and tibble among others. This will enable you to streamline your data science projects and enhance your problem-solving capabilities, making you a proficient data scientist, statistician, or a researcher.

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Results for "Tidyverse (R Package)"

  • Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Data Visualization, Interactive Data Visualization, Statistical Visualization, Sampling (Statistics), Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Web Scraping, Data Science, R (Software), Data Analysis Software

  • Duke University

    Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, R (Software), Web Scraping, Ggplot2, Model Evaluation, Statistical Reporting, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control

  • Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Analysis, Model Evaluation, Data Transformation, R Programming, Data Visualization, Regression Analysis, Predictive Modeling, Statistical Methods, R (Software), Data Manipulation, Plot (Graphics), Data Science, Box Plots, Statistical Visualization, Correlation Analysis, Model Training, Tidyverse (R Package)

  • From the course: R Programming for Statistics and Data Science·Lesson: Data Frames

  • University of Colorado Boulder

    Skills you'll gain: Rmarkdown, Ggplot2, R (Software), Plot (Graphics), Data Visualization, Tidyverse (R Package), Statistical Visualization, R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis Software, Statistical Reporting, Data Analysis, Data Validation, Data Transformation, Code Reusability, Software Installation, Programming Principles, Aesthetics

  • Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, R (Software), Plot (Graphics), Data Visualization, Data Import/Export, Statistical Visualization, Data Wrangling, Statistical Reporting, Data Visualization Software, Data Presentation, Data Analysis, Data Science, Data Manipulation, Statistical Analysis, Relational Databases, Data Cleansing, Communication

  • From the course: Data Analysis with R·Lesson: Introduction to Data Analysis with R

  • From the course: Data Analytics and Visualization with Tableau and more·Lesson: R Programming for Beginners: Includes R Mini-Project!

  • From the course: Fundamentals of Data Analytics in the Public Sector with R·Lesson: Skill Development in RStudio: Analysis Skills for Survey Data

  • University of Colorado System

    From the course: Introduction to Clinical Data Science·Lesson: Introduction to R and the Tidyverse

  • Skills you'll gain: Rmarkdown, Ggplot2, R (Software), R Programming, Data Analysis, Tidyverse (R Package), Plot (Graphics), Data Visualization, Statistical Visualization, Statistical Programming, Data Visualization Software, Data Wrangling, Data Cleansing, Programming Principles, Data Manipulation, Statistical Reporting, Development Environment

  • Johns Hopkins University

    Skills you'll gain: Tidyverse (R Package), Data Wrangling, R (Software), Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Data Management, File Management, Data Visualization