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    • Dplyr

    Dplyr Courses Online

    Master Dplyr for data manipulation in R. Learn to transform, filter, and summarize datasets using this powerful R package.

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    Explore the Dplyr Course Catalog

    • C

      Coursera Project Network

      Building Statistical Models in R: Linear Regression

      Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling, Ggplot2

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Wrangling Data in the Tidyverse

      Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Processing, Text Mining, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      32 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      데이터 과학자의 도구 상자

      Skills you'll gain: Rmarkdown, Data Science, GitHub, Data Literacy, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Quality, Technical Communication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to the Tidyverse

      Skills you'll gain: Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Data Management, Ggplot2, File Management, Data Visualization, Data Import/Export

      4.4
      Rating, 4.4 out of 5 stars
      ·
      51 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Publishing Visualizations in R with Shiny and flexdashboard

      Skills you'll gain: Shiny (R Package), Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Data Presentation, Application Development, UI Components, Web Applications, User Interface (UI), Application Deployment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      70 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Build and deploy a stroke prediction model using R

      Skills you'll gain: Feature Engineering, Predictive Modeling, Predictive Analytics, R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Application Deployment, Data Transformation, Machine Learning Methods, Interactive Data Visualization, Machine Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Building R Packages

      Skills you'll gain: Open Source Technology, Package and Software Management, GitHub, Version Control, Rmarkdown, Software Documentation, Testability, R Programming, Knitr, Continuous Integration, Git (Version Control System), Technical Documentation

      4.1
      Rating, 4.1 out of 5 stars
      ·
      223 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Using probability distributions for real world problems in R

      Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Data Science, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      30 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      P

      Packt

      Master Retrieval-Augmented Generation (RAG) Systems

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Interactive Data Visualization, Text Mining, Data Processing, Unstructured Data, Scalability

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      Duke University

      R을 사용한 확률 및 데이터 소개

      Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R Programming, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics, Statistical Inference

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      RStudio for Six Sigma - Basic Descriptive Statistics

      Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Six Sigma Methodology, Box Plots, R Programming, Probability Distribution, Statistics, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      65 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Data Analysis in R: Predictive Analysis with Regression

      Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Exploratory Data Analysis, Statistics, Statistical Analysis, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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    In summary, here are 10 of our most popular dplyr courses

    • Building Statistical Models in R: Linear Regression: Coursera Project Network
    • Wrangling Data in the Tidyverse: Johns Hopkins University
    • 데이터 과학자의 도구 상자: Johns Hopkins University
    • Introduction to the Tidyverse: Johns Hopkins University
    • Publishing Visualizations in R with Shiny and flexdashboard: Johns Hopkins University
    • Build and deploy a stroke prediction model using R: Coursera Project Network
    • Building R Packages: Johns Hopkins University
    • Using probability distributions for real world problems in R: Coursera Project Network
    • Master Retrieval-Augmented Generation (RAG) Systems: Packt
    • R을 사용한 확률 및 데이터 소개: Duke University

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