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 Pennsylvania
Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Plot (Graphics), Data Visualization, Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Processing, Data Wrangling, Data Integration, Data Preprocessing, Data Manipulation, Scatter Plots, NumPy, Exploratory Data Analysis, Data Import/Export, Histogram, Python Programming
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

Logical Operations
Skills you'll gain: Data Processing, R Programming, Data Manipulation, Data Structures, Statistical Programming, Data Analysis, Computational Logic, Data Analysis Software, Data Preprocessing, Software Installation, Data Science, Development Environment, Computer Programming, Program Development, Computer Programming Tools, Software Development
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Statistical Programming, Statistical Methods, Probability & Statistics, Statistics, Data Visualization, Statistical Analysis, Plot (Graphics), Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
Beginner · Guided Project · Less Than 2 Hours

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

Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Analysis
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, Computer Programming Tools, Data Structures, Analysis, Performance Tuning, Performance Testing
Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Data Processing, Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Numerical Analysis, Exploratory Data Analysis, Data Cleansing, Data Structures
Intermediate · Course · 1 - 4 Weeks

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

Johns Hopkins University
Skills you'll gain: R (Software), Tidyverse (R Package), Web Scraping, Data Manipulation, Data Wrangling, R Programming, Data Transformation, Memory Management, Data Cleansing, Data Science, Statistical Programming, Data Integration, Data Processing, Text Mining, Data Import/Export, Web Services, Data Analysis, Data Structures, Application Programming Interface (API)
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Pipelines, Data Preprocessing, Data Integration, R (Software), R Programming, Exploratory Data Analysis, Statistical Programming
Beginner · Course · 1 - 4 Weeks