R For Data Analysis Courses
Courses in R for Data Analysis can help you learn data manipulation, statistical modeling, data visualization, and hypothesis testing. You can build skills in cleaning datasets, performing regression analysis, and creating informative graphs. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, showing how these tools facilitate efficient data analysis and enhance the presentation of findings.
Popular R For Data Analysis Courses and Certifications
Skills you'll gain: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Data Mining, Advanced Analytics, Statistical Modeling, Risk Modeling, R (Software), R Programming, Data Preprocessing, Data Cleansing, Transaction Processing, Unsupervised Learning, Model Training, Model Optimization, Machine Learning
Johns Hopkins University
Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization Software, Statistical Visualization, Heat Maps, R Programming, Data Wrangling, Tidyverse (R Package), Graphics Software
University of Colorado Boulder
Skills you'll gain: Rmarkdown, Ggplot2, R (Software), Plot (Graphics), Data Visualization, Tidyverse (R Package), Statistical Visualization, R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis Software, Statistical Reporting, Data Analysis, Data Validation, Data Transformation, Code Reusability, Software Installation, Programming Principles, Aesthetics
Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Statistical Reporting, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Descriptive Analytics, Research Methodologies, Statistical Methods, R (Software), Research, R Programming, Data Collection, Research Reports, Correlation Analysis, Data Ethics
Duke University
Skills you'll gain: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistical Methods, Statistics, Predictive Analytics, Data Modeling, Probability & Statistics, Statistical Hypothesis Testing, Statistical Inference, Model Training, R (Software), Statistical Programming, Correlation Analysis
Skills you'll gain: Descriptive Statistics, R (Software), Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling, Statistical Software, Statistical Programming, Data Manipulation
Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Financial Forecasting, Statistical Methods, Model Training, Data Validation, Verification And Validation, Plot (Graphics), Performance Metric
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
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
Johns Hopkins University
Skills you'll gain: Rmarkdown, Data Visualization, Statistical Visualization, R (Software), Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Statistical Reporting, Data Manipulation, Data Wrangling, Data Processing, File Management, Software Installation
Skills you'll gain: Analytical Skills, Statistical Methods, Exploratory Data Analysis, R (Software), Business Analytics, Data Analysis, Statistical Analysis, Data Visualization, Analytics, Statistical Visualization, R Programming, Analysis, Statistical Programming, Predictive Analytics, Statistical Modeling, Data Structures, Statistical Software, Time Series Analysis and Forecasting, Data Manipulation, Regression Analysis
Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Scientific Visualization, Jupyter, Matplotlib, Data Presentation, Statistical Visualization, Data Manipulation, R (Software), Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Analysis, R Programming, Python Programming
In summary, here are 10 of our most popular r for data analysis courses
- Apply R for Predictive Analytics and Machine Learning: EDUCBA
- Data Visualization in R with ggplot2: Johns Hopkins University
- Introduction to R Programming and Tidyverse: University of Colorado Boulder
- Quantitative Research Methods: Tools for Data Analysis: Coursera
- Data Modeling and Prediction with R: Duke University
- Data Analysis in R with RStudio & Tidyverse: Codio
- Predict and Validate Regression Models in R: Coursera
- Advanced Data Visualization with R: Johns Hopkins University
- Arranging and Visualizing Data in R : University of Michigan
- Getting Started with Data Visualization in R: Johns Hopkins University
