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)"

  • Coursera Project Network

    Skills you'll gain: Ggplot2, Data Cleansing, Tidyverse (R Package), Data Wrangling, Data Transformation, Data Visualization, R Programming, Data Manipulation, Data Analysis, Data Management, Pivot Tables And Charts

    4.6
    Rating, 4.6 out of 5 stars
    10 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Data Visualization, Data Visualization Software, Data Literacy, Storyboarding, Statistical Visualization, Data Storytelling, Data Manipulation, Ggplot2, Statistical Reporting, Data Wrangling, Data Analysis, Data Cleansing, R Programming, Tidyverse (R Package), Data Transformation, Data Import/Export, Rmarkdown, Graphing

    5
    Rating, 5 out of 5 stars
    34 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    Status: Preview

    Microsoft

    Skills you'll gain: Data Manipulation, R Programming, Tidyverse (R Package), Text Mining, Data Wrangling, Data Transformation, Data Cleansing, Performance Tuning, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • Coursera Project Network

    Skills you'll gain: Data Manipulation, Tidyverse (R Package), Data Wrangling, Data Analysis, R Programming, Exploratory Data Analysis, Statistical Analysis

    4.6
    Rating, 4.6 out of 5 stars
    21 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    Status: Free Trial

    Microsoft

    Skills you'll gain: Rmarkdown, Knitr, Exploratory Data Analysis, Dimensionality Reduction, Ggplot2, Plotly, Data Visualization, Interactive Data Visualization, Data Visualization Software, Statistical Visualization, Data Storytelling, Statistical Analysis, Generative AI, R Programming, Correlation Analysis, Data Analysis, Tidyverse (R Package), Scatter Plots, Descriptive Statistics, Data Cleansing

    Beginner · Course · 1 - 3 Months

  • Status: New
    Status: Free Trial

    Microsoft

    Skills you'll gain: Rmarkdown, Web Scraping, Geospatial Information and Technology, Shiny (R Package), Microsoft Azure, Cloud Storage, Interactive Data Visualization, R Programming, Data Collection, Ggplot2, Data Manipulation, Data Science, Data Visualization Software, Data Integration, Tidyverse (R Package), Data Analysis, Application Programming Interface (API)

    Beginner · Course · 1 - 3 Months

  • Coursera Project Network

    Skills you'll gain: Ggplot2, Tidyverse (R Package), Data Visualization, Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Manipulation, R (Software)

    4.9
    Rating, 4.9 out of 5 stars
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Coursera Project Network

    Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Tidyverse (R Package), Data Transformation, Data Management

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free

    Coursera Project Network

    Skills you'll gain: R Programming, R (Software), Data Visualization, Time Series Analysis and Forecasting, Interactive Data Visualization, Tidyverse (R Package), Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Processing, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Revenue Management, Forecasting, Business Strategy, Demand Planning, Machine Learning

    5
    Rating, 5 out of 5 stars
    8 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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