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
Status: PreviewUniversity of Michigan
Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Science, Data Analysis, Data Transformation, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export, Programming Principles
Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Data Visualization, Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing, Python Programming
Status: FreeSkills you'll gain: Analytics, R Programming, Google Sheets, Applied Machine Learning, Health Informatics, Predictive Modeling, Automation, Data Manipulation, GitHub, Gmail, Git (Version Control System)
Status: Free TrialSkills you'll gain: Rmarkdown, Plot (Graphics), Ggplot2, Statistical Visualization, Box Plots, Scatter Plots, Data Visualization, Histogram, Descriptive Statistics, Data Visualization Software, Graphing, R Programming, Data Science
Status: PreviewEmory University
Skills you'll gain: Rmarkdown, Collaborative Software, Technical Documentation, Document Management, Technical Writing, Data Sharing, R (Software), R Programming, YAML, Hypertext Markup Language (HTML), File Management, Cascading Style Sheets (CSS), Version Control
Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Data Visualization, Data Manipulation, Data Import/Export, JSON, Data Cleansing, Data Visualization Software, Exploratory Data Analysis, Data Analysis, Python Programming
Coursera
Skills you'll gain: Interactive Data Visualization, Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Cloud Development, Cloud Hosting
Status: Free TrialJohns Hopkins University
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
Status: Free TrialDuke University
Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Capture, Data Pipelines, Data Integration, Personally Identifiable Information, R Programming, Exploratory Data Analysis, Information Privacy, Statistical Programming
Status: NewStatus: Free TrialCase Western Reserve University
Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Ggplot2, Simulations
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Data Visualization, Statistical Analysis, Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
Skills you'll gain: R Programming, R (Software), Analysis, Mathematical Software, Data Analysis
In summary, here are 10 of our most popular dplyr courses
- 파이썬의 데이터 과학 소개: University of Michigan
- Data Visualization using Plotnine and ggplot: Coursera
- Automate R scripts with GitHub Actions: Deploy a model: Coursera
- Visualizing Data & Communicating Results in R with RStudio: Codio
- Reproducible Templates for Analysis and Dissemination : Emory University
- Data Analysis in Python: Using Pandas DataFrames: Coursera
- Getting Started with Rstudio: Coursera
- Introduction to the Tidyverse: Johns Hopkins University
- Data Tidying and Importing with R: Duke University
- Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
