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)"

  • University of Colorado Boulder

    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

    4.1 stars, 56 reviews, Beginner, Specialization, 1 - 3 Months

  • Johns Hopkins University

    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

    4.5 stars, 111 reviews, Beginner, Specialization, 3 - 6 Months

  • 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

    4.2 stars, 49 reviews, Beginner, Course, 1 - 4 Weeks

  • 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

    4.8 stars, 48 reviews, Beginner, Specialization, 1 - 3 Months

  • Packt

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

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    386 views

    Micro Lesson · 3 minutes

  • University of Colorado Boulder

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

    4.7 stars, 7 reviews, Beginner, Course, 1 - 4 Weeks

  • University of Colorado Boulder

    Skills you'll gain: Tidyverse (R Package), Data Import/Export, R (Software), Data Wrangling, R Programming, Data Manipulation, Data Analysis, Ggplot2, Relational Databases, Data Transformation, Data Cleansing, grep, Programming Principles

    4.1 stars, 13 reviews, Beginner, Course, 1 - 3 Months

  • IBM

    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)

    4.7 stars, 379 reviews, Intermediate, Course, 1 - 3 Months

  • Microsoft

    Skills you'll gain: Git (Version Control System), Data Visualization, Data Presentation, Generative AI, Version Control, Matplotlib, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), R Programming, Tidyverse (R Package), Ggplot2, Jupyter, Python Programming, Microsoft Visual Studio, Statistical Visualization, Data Storytelling, GitHub, NumPy, Machine Learning Methods

    4.4 stars, 698 reviews, Beginner, Specialization, 3 - 6 Months

  • University of Colorado Boulder

    From the course: Data Science as a Field·Lesson: Steps in the Data Science Process through Data Cleaning

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    2.6k views

    Micro Lesson · 6 minutes

  • Microsoft

    Skills you'll gain: Data Cleansing, Data Manipulation, Data Preprocessing, Data Transformation, Data Wrangling, Data Quality, Tidyverse (R Package), R Programming, Data Import/Export, Generative AI, Data Validation, AI literacy, Text Mining, Data Pipelines, grep, Anomaly Detection

    Beginner · Course · 1 - 3 Months

  • Microsoft

    From the course: Data Manipulation and Cleaning in R·Lesson: Introduction to the Course

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    196 views

    Micro Lesson · 2 minutes