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)"

  • 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

  • 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: 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, Exploratory Data Analysis, Relational Databases, Data Cleansing, Communication

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

  • 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

  • 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

  • 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

  • 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

    From the course: Exploratory Data Analysis and Visualization·Lesson: Understanding EDA

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    151 views

    Micro Lesson · 5 minutes

  • Microsoft

    From the course: Exploratory Data Analysis and Visualization·Lesson: Data Preprocessing for EDA

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    127 views

    Micro Lesson · 7 minutes

  • Microsoft

    From the course: Data Manipulation and Cleaning in R·Lesson: Separating and Uniting Columns

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    154 views

    Micro Lesson · 7 minutes

  • Microsoft

    From the course: Reshaping Data with tidyr·Lesson: Separating and Uniting Columns

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    ·

    154 views

    Micro Lesson · 7 minutes

  • 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