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.
University of Michigan
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, R (Software), Plot (Graphics), Tidyverse (R Package), Statistical Visualization, Data Visualization, Data Visualization Software, R Programming, Data Analysis, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Statistical Reporting, Scripting, Package and Software Management, Scripting Languages, Data Transformation
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Web Scraping, R (Software), Relational Databases, Statistical Software, Data Import/Export, R Programming, Databases, Microsoft Excel
Intermediate · Guided Project · Less Than 2 Hours

University of Michigan
Skills you'll gain: Data Visualization, Statistical Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, R (Software), Policy Analysis, Public Policies, R Programming, Statistical Programming, Analytics, Data Transformation, Programming Principles, Data Manipulation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Logistic Regression, NumPy, Machine Learning Methods, Jupyter, Scikit Learn (Machine Learning Library), Data Science, Machine Learning, Machine Learning Algorithms, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Correlation Analysis, Data Visualization, Data Manipulation, Plot (Graphics), Data Wrangling, Data Import/Export, JSON, Statistical Visualization, Data Cleansing, Data Transformation, Data Visualization Software, Data Preprocessing, Exploratory Data Analysis, Data Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: R (Software), R Programming, Computational Logic, Arithmetic, Statistical Programming, Development Environment, Programming Principles, Data Import/Export
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Histogram, R (Software), Statistical Methods, Statistical Programming, Probability & Statistics, Descriptive Analytics, Statistics, Statistical Software, Data Science
Beginner · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Rmarkdown, Data Science, R (Software), GitHub, Data Literacy, Version Control, Data Analysis, Big Data, R Programming, Software Versioning, General Science and Research, Git (Version Control System), Data Quality, Statistical Reporting, Development Environment, Technical Communication
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Model Evaluation, Data Analysis, Statistical Methods, Scatter Plots, Statistical Software, R Programming, Statistical Analysis, Plot (Graphics), R (Software), Ggplot2, Statistical Programming
Beginner · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Interactive Data Visualization, Plot (Graphics), R (Software), Hypertext Markup Language (HTML), Software Installation, Package and Software Management, R Programming, Integrated Development Environments, Statistical Programming
Beginner · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: R (Software), Object Oriented Programming (OOP), Object Oriented Design, R Programming, Debugging, Code Reusability, Functional Design, Programming Principles, Data Structures, Performance Tuning, Performance Testing
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Plot (Graphics), Data Visualization, Statistical Visualization, Spatial Analysis, Geospatial Information and Technology, Data Manipulation, Scatter Plots, R (Software), Plotly, Interactive Data Visualization, R Programming, Geospatial Mapping, Statistical Reporting, Data Wrangling, Graphing
Mixed · Course · 1 - 4 Weeks