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
Skills you'll gain: R (Software), R Programming, Computational Logic, Arithmetic, Statistical Programming, Development Environment, Programming Principles, Data Import/Export
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
Skills you'll gain: Pandas (Python Package), NumPy, Data Analysis, Data Science, Python Programming, Data Structures, Data Manipulation, Analysis
Duke University
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, Bayesian Statistics, R (Software), Data Analysis, Probability & Statistics, Probability, Statistics, Statistical Methods, Quantitative Research, Data Analysis Software, Statistical Modeling, Descriptive Statistics, Statistical Inference
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
Johns Hopkins University
Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Wrangling, Data Integration, Data Manipulation, JSON, Data Transformation, Relational Databases, R (Software), Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Data Structures, File I/O, Application Programming Interface (API)
University of Colorado Boulder
Skills you'll gain: R Programming, Rmarkdown, R (Software), Tidyverse (R Package), Ggplot2, Data Import/Export, Data Visualization, Plot (Graphics), Statistical Visualization, Data Analysis, Statistical Reporting, Data Visualization Software, Data Presentation, Data Science, Data Manipulation, Statistical Analysis, Data Wrangling, Data Cleansing, Data Integration, Communication
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
Johns Hopkins University
Skills you'll gain: Tidyverse (R Package), Data Wrangling, R (Software), Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Data Management, File Management, Data Visualization, Data Import/Export
Arizona State University
Skills you'll gain: Data Storage Technologies, Probability & Statistics, Statistics, Data Store, Mathematical Software, Data Storage, Data Access, Statistical Machine Learning, Database Software, Statistical Hypothesis Testing, Data Manipulation, Data Transformation, Model Evaluation
Universitat Politècnica de València
Skills you'll gain: Plot (Graphics), R Programming, R (Software), Statistical Analysis, Ggplot2, Data Import/Export, Statistical Methods, Statistical Programming, Model Training, Data Structures, Programming Principles, Machine Learning Methods, Data Visualization, Data Preprocessing, Data Science, Model Evaluation, Machine Learning, Applied Machine Learning, Data Manipulation, Data Wrangling
Skills you'll gain: Shiny (R Package), Interactive Data Visualization, Dashboard Creation, R (Software), Dashboard, User Interface (UI), UI Components, Data Integration, Server Side, Interactive Design, User Interface (UI) Design, Web Applications, Software Architecture, Event-Driven Programming
In summary, here are 10 of our most popular dplyr courses
- Introduction to R: Basic R syntax: Coursera
- Calculating Descriptive Statistics in R: Coursera
- Python for Data Analysis: Pandas & NumPy: Coursera
- R을 사용한 확률 및 데이터 소개: Duke University
- Building Statistical Models in R: Linear Regression: Coursera
- Importing Data in the Tidyverse: Johns Hopkins University
- R Programming and Tidyverse Capstone Project: University of Colorado Boulder
- Logistic Regression with NumPy and Python: Coursera
- Introduction to the Tidyverse: Johns Hopkins University
- Modern Statistical Computing and Regression Modeling in R: Arizona State University
