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.

Shanghai Jiao Tong University
Skills you'll gain: Materials science, Mechanical Engineering, Engineering, Chemistry, Physics, Manufacturing Processes, Thermal Management, Failure Analysis
Intermediate · Course · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: Probability, Probability & Statistics, Sampling (Statistics), Probability Distribution, Statistics, Data Science, Statistical Inference, Descriptive Statistics, Statistical Analysis, General Mathematics
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Data Manipulation, Data Transformation, Pivot Tables And Charts, Data Wrangling, Data Cleansing, Data Integration, R Programming, Data Preprocessing
Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Generative AI, Data Ethics, AI Product Strategy, AI Enablement, Prompt Engineering, Responsible AI, Data Synthesis, Data-Driven Decision-Making, Data Preprocessing, Predictive Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Collection, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Applied Machine Learning, Predictive Modeling, Model Evaluation
Intermediate · Course · 1 - 3 Months

Northeastern University
Skills you'll gain: Data Storytelling, Data Literacy, Statistical Visualization, Data-Driven Decision-Making, Data Visualization Software, Data Preprocessing, Data Mining, Exploratory Data Analysis, Data Cleansing, Graphing, Big Data, Programming Principles, Python Programming, NumPy
Mixed · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Data Governance, Data Management, Business Analytics, Analytics, Data Quality, Data Ethics, Data Analysis, Business Intelligence, Big Data, Organizational Structure, Data-Driven Decision-Making, Data Access, Relational Databases, SQL, Data Storage, Cloud Computing
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Experimentation, Research Design, Statistical Methods, Data Science, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, A/B Testing, Quantitative Research, Machine Learning, Model Evaluation
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Model Evaluation, Statistical Modeling, Applied Machine Learning, Unsupervised Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Data Science, Decision Tree Learning, Statistical Methods, Artificial Neural Networks, Statistical Analysis, Regression Analysis, Predictive Modeling, Classification Algorithms, Supervised Learning, R Programming, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning, Random Forest Algorithm
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Python Programming, Programming Principles, Unit Testing, Style Guides
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Real Time Data, Data Lakes, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Data Pipelines, Cloud Storage, Data Import/Export, Dataflow, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Infrastructure, Tensorflow, Data Warehousing
Intermediate · Professional Certificate · 3 - 6 Months