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: Rmarkdown, Box Plots, Plot (Graphics), Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Statistical Visualization, Data Visualization, Data Manipulation, R (Software), Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Import/Export, Data Analysis, R Programming, Python Programming
Skills you'll gain: Descriptive Statistics, Data Visualization, Statistical Analysis, Data Presentation, Data Analysis, Probability Distribution, Statistics, Statistical Methods, Statistical Hypothesis Testing, Data Science, Probability & Statistics, Jupyter, Regression Analysis, Correlation Analysis, Probability
Skills you'll gain: Git (Version Control System), Data Visualization, Data Presentation, Generative AI, Version Control, Matplotlib, Exploratory Data Analysis, Data Cleansing, Pandas (Python Package), R Programming, Tidyverse (R Package), Ggplot2, Jupyter, Python Programming, Microsoft Visual Studio, Statistical Visualization, Data Storytelling, GitHub, NumPy, Machine Learning Methods
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 Processing, Software Installation
Johns Hopkins University
Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Data Manipulation, Scatter Plots, R (Software), Plotly, Interactive Data Visualization, R Programming, Geospatial Mapping, Graphing, Data Mapping, Animations
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Dashboard Creation, Dashboard, Ggplot2, Interactive Data Visualization, Application Development, UI Components, User Interface (UI), Application Deployment
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Presentation, Data Visualization, Data Collection, Predictive Modeling, Interactive Data Visualization, Web Scraping, Shiny (R Package), Ggplot2, Data Analysis, Data Cleansing, Statistical Modeling, Tidyverse (R Package), Regression Analysis, Data Transformation, Data Science, Dashboard, Statistical Analysis, Dashboard Creation
Johns Hopkins University
Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization Software, Heat Maps, R Programming, Graphing, Data Wrangling, Graphics Software
Universidad Nacional Autónoma de México
Skills you'll gain: R (Software), R Programming, Statistical Programming, Ggplot2, Plot (Graphics), Data Manipulation, Simulations, Statistical Visualization, Data Processing, Graphing, Data Import/Export, Exploratory Data Analysis, Software Installation
Università di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, Convolutional Neural Networks, NumPy, R (Software), Image Analysis, Pandas (Python Package), Matplotlib, Python Programming, Deep Learning, Computer Programming, Machine Learning Methods, Scripting Languages, Transfer Learning, Artificial Neural Networks, Scripting, Programming Principles
Skills you'll gain: Rmarkdown, R (Software), Data Import/Export, R Programming, Ggplot2, Data Manipulation, Plotly, Web Scraping, Interactive Data Visualization, Data Cleansing, Programming Principles, Data Structures
Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
