R for Data Science Courses
R for Data Science courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning techniques. You can build skills in exploratory data analysis, hypothesis testing, and predictive modeling. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, that support creating visual representations of data and performing complex data transformations. By engaging with these tools and methods, you can effectively analyze datasets and derive meaningful insights.
Popular R for Data Science Courses and Certifications
Skills you'll gain: Exploratory Data Analysis, Data Manipulation, Statistical Analysis, R (Software), Analytical Skills, Ggplot2, Data Storytelling, Data Visualization, R Programming, Statistical Methods, Data Transformation, Data Science, Applied Machine Learning, Data Preprocessing, Probability & Statistics, Scatter Plots, Business Analytics, Statistical Visualization, Correlation Analysis, Data Analysis
Skills you'll gain: Data Science, Statistical Inference, Machine Learning Methods, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistics, Regression Analysis, Applied Machine Learning, Apache Hadoop, Big Data, Machine Learning Algorithms, Data Mining, Machine Learning, Data Analysis, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS
Duke University
Skills you'll gain: Exploratory Data Analysis, R (Software), Ggplot2, Tidyverse (R Package), Data Visualization, Version Control, Data Analysis, Plot (Graphics), Statistics, Data Wrangling, Data Science, R Programming, GitHub, Data Transformation, Statistical Analysis, Git (Version Control System), Statistical Programming
Universitat Politècnica de València
Skills you'll gain: Plot (Graphics), R Programming, R (Software), Statistical Analysis, Ggplot2, Data Import/Export, Model Training, Data Structures, Programming Principles, Data Analysis, Machine Learning Methods, Data Visualization, Data Science, Model Evaluation, Machine Learning, Data Manipulation
Coursera
Skills you'll gain: Web Scraping, R (Software), Relational Databases, Statistical Software, Data Import/Export, R Programming, Microsoft Excel
University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Statistics, Statistical Analysis, Predictive Modeling, Model Evaluation
Skills you'll gain: Shiny (R Package), Cloud Deployment, Interactive Data Visualization, Application Deployment, UI Components, Server Side, Performance Tuning, R (Software), Dashboard, User Interface (UI), Application Lifecycle Management, Dashboard Creation, Web Applications, Authentications, Data Visualization, Application Development, User Interface (UI) Design, Exploratory Data Analysis, R Programming, Data Management
Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Applied Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Hypothesis Testing, Correlation Analysis, Data Manipulation, Random Forest Algorithm, Regression Analysis, Decision Tree Learning
Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Statistical Programming, Statistical Analysis, Data Science, Data Analysis, Statistical Modeling, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Predictive Analytics, Probability, Model Evaluation, Correlation Analysis
Skills you'll gain: Analytical Skills, Statistical Methods, Exploratory Data Analysis, Business Analytics, Data Analysis, Statistical Analysis, Data Visualization, Analytics, R Programming, Analysis, Statistical Programming, Predictive Analytics, Statistical Modeling, Data Structures, Time Series Analysis and Forecasting, Data Manipulation, Regression Analysis, Programming Principles, Decision Tree Learning
Skills you'll gain: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Data Mining, Advanced Analytics, R (Software), R Programming, Statistical Methods, Data Manipulation, Data Analysis, Decision Tree Learning, Data Preprocessing, Data Cleansing, Probability & Statistics, Customer Analysis, Model Optimization, Machine Learning
Johns Hopkins University
Skills you'll gain: Open Source Technology, Package and Software Management, Unit Testing, R (Software), GitHub, Version Control, Rmarkdown, Cross Platform Development, Software Versioning, Software Documentation, R Programming, Code Reusability, Knitr, Continuous Integration, Technical Documentation
