Master R programming for statistical computing and data analysis. Learn about R syntax, data manipulation, and visualization techniques.
The language used throughout the course, in both instruction and assessments.

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, R Programming, Probability, Python Programming, Scikit Learn (Machine Learning Library), Linear Algebra, Applied Machine Learning, Unsupervised Learning, Regression Analysis, Statistical Methods, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Statistical Modeling, Data Structures, Data Analysis, Molecular Biology, R Programming, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Feature Engineering, Machine Learning, Data Validation, Data Processing, Machine Learning Algorithms, Data Manipulation, Exploratory Data Analysis, Data Integrity, Analysis, Statistical Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Manipulation, Performance Testing, Data Cleansing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Artificial Neural Networks, Forecasting, Data Mining, Supervised Learning, Exploratory Data Analysis, Probability & Statistics
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Data Visualization, Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Regression Analysis, Web Scraping, Data Presentation, Data Science, R (Software), Data Analysis Software
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Database Design, Relational Databases, SQL, Databases, R Programming, Database Management, Data Science, Database Management Systems, Data Modeling, Data Analysis Software, Query Languages, Data Access, Data Manipulation, Data Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Predictive Modeling, R Programming, Feature Engineering, Statistical Modeling, Risk Modeling, Classification And Regression Tree (CART), Regression Analysis, Predictive Analytics, Machine Learning Methods, Data Processing, Supervised Learning, Performance Measurement, Credit Risk, Dimensionality Reduction
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Advanced Analytics, Predictive Modeling, R Programming, Predictive Analytics, Regression Analysis, Business Analytics, Trend Analysis, Statistical Analysis, Statistical Modeling, Analysis, Statistical Methods, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks

Università di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Programming Principles, Data Management
Intermediate · Specialization · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: R Programming, Rmarkdown, Tidyverse (R Package), Ggplot2, Data Import/Export, Data Visualization, Data Analysis, Data Visualization Software, Data Science, Data Manipulation, Data Storytelling, Statistical Analysis, Data Cleansing, Data Integration, Data Transformation, Communication
Beginner · Course · 1 - 4 Weeks