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Explore the RStudio Course Catalog
Coursera Project Network
Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Wrangling, Data Import/Export, Relational Databases, Data Integration, Microsoft Excel, Databases
Status: Free TrialJohns Hopkins University
Skills you'll gain: Data Visualization, Data Visualization Software, Data Literacy, Data Storytelling, Data Presentation, R Programming, Graphic and Visual Design, Data Manipulation, Data Cleansing, Data Import/Export
Status: Free TrialJohns Hopkins University
Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), JSON, Data Manipulation, Data Wrangling, Relational Databases, Extensible Markup Language (XML), R Programming, Databases, SQL, Spreadsheet Software, Google Sheets, Data Structures, Application Programming Interface (API)
Status: Free TrialUniversity of Michigan
Skills you'll gain: Data Visualization, Exploratory Data Analysis, Ggplot2, Plot (Graphics), Data Presentation, Data Visualization Software, Data Storytelling, Data Analysis, Graphic and Visual Design, Technical Communication, R Programming, Box Plots, Public Administration, Histogram, Social Justice, Trend Analysis
Status: Free TrialDuke University
Skills you'll gain: Web Scraping, Data Wrangling, Tidyverse (R Package), Data Manipulation, Data Import/Export, Data Transformation, Data Cleansing, Data Synthesis, R Programming, Statistical Programming, Exploratory Data Analysis
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Process Capability, Sample Size Determination, Statistical Process Controls, Quality Control, Performance Measurement, Statistical Analysis, Quality Improvement, R Programming, Data Analysis Software, Variance Analysis, Probability Distribution
Status: PreviewDuke University
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
Status: PreviewNortheastern University
Skills you'll gain: Data Storytelling, Data Transformation, Graphing, Statistical Visualization, Data Visualization Software, Data Processing, Data Cleansing, Data-Driven Decision-Making, Big Data, Programming Principles, Python Programming, Analytics, NumPy
Status: FreeCoursera Project Network
Skills you'll gain: Shiny (R Package), Dashboard, Data Visualization, Interactive Data Visualization, User Interface (UI) Design, Data Visualization Software, Retail Management, R Programming, Retail Store Operations, Data Manipulation, Web Applications, Data Import/Export
Coursera Project Network
Skills you'll gain: Data Manipulation, Data Cleansing, R Programming, Tidyverse (R Package), Data Integration, Data Transformation, Data Management
Status: PreviewJohns Hopkins University
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
Coursera Project Network
Skills you'll gain: Pandas (Python Package), Data Visualization, Data Presentation, Data Cleansing, Data Analysis, Data-Driven Decision-Making, Business Analysis, Data Manipulation, Exploratory Data Analysis, Data Transformation, Data Import/Export, Python Programming
Rstudio learners also search
In summary, here are 10 of our most popular rstudio courses
- Importing Data into R: Coursera Project Network
- Data Visualization Capstone: Johns Hopkins University
- Importing Data in the Tidyverse: Johns Hopkins University
- Exploratory Data Analysis for the Public Sector with ggplot: University of Michigan
- Data Tidying and Importing with R: Duke University
- Stability and Capability in Quality Improvement: University of Colorado Boulder
- R을 사용한 확률 및 데이터 소개: Duke University
- Data Visualization with Python & R for Engineers: Northeastern University
- Dashboard Development with Shiny: GenAI for Retail Analysis: Coursera Project Network
- Joining Data in R using dplyr: Coursera Project Network
