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Explore the Dplyr Course Catalog
Status: Free TrialSkills you'll gain: Rmarkdown, Ggplot2, Tidyverse (R Package), Data Manipulation, R Programming, Data Visualization, Data Analysis, Data Science, Statistical Analysis, Exploratory Data Analysis, Data Visualization Software, Data Cleansing, Integrated Development Environments, Package and Software Management
Coursera Project Network
Skills you'll gain:
Coursera Project Network
Skills you'll gain: Ggplot2, Plot (Graphics), Tidyverse (R Package), Data Visualization, R Programming, Data Analysis, Exploratory Data Analysis, Data Manipulation, Data Visualization Software
Status: NewStatus: Free TrialMicrosoft
Skills you'll gain: Data Storytelling, Regression Analysis, Rmarkdown, Predictive Modeling, Web Scraping, R Programming, Statistical Analysis, Interactive Data Visualization, Data Literacy, Tidyverse (R Package), Time Series Analysis and Forecasting, Data Cleansing, Data-Driven Decision-Making, Geospatial Information and Technology, Data Manipulation, Data Ethics, Data Visualization, Software Documentation, Technical Documentation, Microsoft Visual Studio
Status: NewStatus: PreviewMicrosoft
Skills you'll gain: Tidyverse (R Package), Data Manipulation, Data Wrangling, Data Transformation, R Programming, Data Cleansing, Data Pipelines
- Status: NewStatus: Preview
Skills you'll gain: Data Manipulation, Data Cleansing, R Programming, Data Wrangling, Tidyverse (R Package), Text Mining, Data Transformation, Performance Tuning, Data Validation
What brings you to Coursera today?
Status: Free TrialJohns Hopkins University
Skills you'll gain: Rmarkdown, Ggplot2, Shiny (R Package), Data Visualization, Data Presentation, Interactive Data Visualization, Data Visualization Software, Data Storytelling, Data Literacy, Tidyverse (R Package), Plot (Graphics), Spatial Data Analysis, R Programming, Plotly, Dashboard, Statistical Visualization, Spatial Analysis, Scatter Plots, Data Analysis, Data Science
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Modeling, Data Visualization, Exploratory Data Analysis, Data Wrangling, Data Visualization Software, Tidyverse (R Package), Data Import/Export, Ggplot2, Data Manipulation, Statistical Inference, R Programming, Statistical Hypothesis Testing, Predictive Modeling, Data Science, Statistical Visualization, Web Scraping, Data Presentation, Data Transformation, Sampling (Statistics), Data Analysis Software
Status: NewStatus: Free TrialSkills you'll gain: Software Documentation, Technical Documentation, Microsoft Visual Studio, Microsoft Copilot, Software Versioning, Development Environment, Programming Principles
Status: NewStatus: Free TrialMicrosoft
Skills you'll gain: Tidyverse (R Package), Data Cleansing, Data Manipulation, Data Wrangling, Data Quality, Data Import/Export, Data Transformation, R Programming, Data Validation, Text Mining, Data Structures, Generative AI
Status: Free TrialUniversity of Michigan
Skills you'll gain: Data Visualization, Program Evaluation, Exploratory Data Analysis, Policy Analysis, Ggplot2, Data Ethics, Plot (Graphics), Surveys, Data Presentation, Data Analysis, Statistical Analysis, Analytical Skills, Statistical Methods, Research Design, Analytics, Data Visualization Software, Public Administration, Statistics, Probability & Statistics, Research
Status: Free TrialSkills you'll gain: Database Design, SQL, Relational Databases, Database Management, Databases, Database Management Systems, Data Analysis, Query Languages, Data Science, R Programming, Data Manipulation, Data Access
In summary, here are 10 of our most popular dplyr courses
- Data Analysis with R Programming:Â Google
- Data Manipulation with dplyr in R:Â Coursera Project Network
- Data Visualization using dplyr and ggplot2 in R:Â Coursera Project Network
- Microsoft R Programming for Everyone:Â Microsoft
- Mastering Data Wrangling with dplyr:Â Microsoft
- Manipulate Text Like a Pro with stringr:Â Microsoft
- Data Visualization & Dashboarding with R:Â Johns Hopkins University
- Tidyverse Skills for Data Science in R:Â Johns Hopkins University
- R Programming Essentials with Microsoft Tools:Â Microsoft
- Data Manipulation and Cleaning in R:Â Microsoft
