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Dplyr Courses

Dplyr courses can help you learn data manipulation, filtering, summarizing data, and transforming datasets in R. You can build skills in creating data pipelines, handling missing values, and performing group operations. Many courses introduce tools like RStudio and various data visualization packages, showing how to effectively analyze and present data insights.


Popular Dplyr Courses and Certifications


  • A

    Arizona State University

    Modern Statistical Computing and Regression Modeling in R

    Skills you'll gain: Data Storage Technologies, Statistics, Data Storage, Database Software, Statistical Hypothesis Testing, Data Manipulation

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Build Interactive R Shiny Data Apps for NGOs

    Skills you'll gain: Shiny (R Package), Cloud Deployment, Interactive Data Visualization, Application Deployment, Performance Tuning, Data Visualization Software, Web Applications, Application Development, R Programming, Dashboard, Exploratory Data Analysis, User Interface (UI), User Interface (UI) Design, Data Import/Export

    Mixed · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Job Shop Scheduling Using MILP Optimization on RStudio

    Skills you'll gain: R Programming, Mathematical Software, Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Advanced Data Visualization with R

    Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Statistical Visualization, Geospatial Information and Technology, Data Manipulation, Scatter Plots, Plotly, Interactive Data Visualization, R Programming, Data Mapping, Animations

    ★ 4.9 (81) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Duke University

    R을 사용한 확률 및 데이터 소개

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

    Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Data Analysis with Tidyverse

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

    ★ 4.1 (13) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Scripting with Alteryx: Python and R for Advanced Workflows

    Skills you'll gain: Alteryx, Predictive Modeling, Scripting, R Programming, Predictive Analytics, Data Science, Advanced Analytics, Trend Analysis, Data Preprocessing, Data Integration, Exploratory Data Analysis, Data Manipulation, Data Visualization Software, Data Analysis, Model Evaluation, Data Cleansing, Risk Modeling, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • 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 Preprocessing, Statistical Programming, Text Mining

    ★ 4.5 (33) · Mixed · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Codio

    Data Science and Analysis Tools - from Jupyter to R Markdown

    Skills you'll gain: Rmarkdown, Box Plots, Plot (Graphics), Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Data Manipulation, Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Visualization Software, Data Analysis, R Programming, Python Programming

    ★ 3.9 (25) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    파이썬의 데이터 과학 소개

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Analysis, Data Preprocessing, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Building R Packages

    Skills you'll gain: Open Source Technology, Package and Software Management, Unit Testing, GitHub, Version Control, Rmarkdown, Cross Platform Development, Software Versioning, Software Documentation, R Programming, Knitr, Continuous Integration, Development Testing, Technical Documentation

    ★ 4.1 (223) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Introduction to the Tidyverse

    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, Data Import/Export

    ★ 4.4 (54) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…6789

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

  • Modern Statistical Computing and Regression Modeling in R: Arizona State University
  • Build Interactive R Shiny Data Apps for NGOs: EDUCBA
  • Job Shop Scheduling Using MILP Optimization on RStudio: Coursera
  • Advanced Data Visualization with R: Johns Hopkins University
  • R을 사용한 확률 및 데이터 소개: Duke University
  • Data Analysis with Tidyverse: University of Colorado Boulder
  • Scripting with Alteryx: Python and R for Advanced Workflows: Coursera
  • Wrangling Data in the Tidyverse: Johns Hopkins University
  • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
  • 파이썬의 데이터 과학 소개: University of Michigan

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