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.

University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)
Build toward a degree
Intermediate · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Data Pipelines, Databases, Extract, Transform, Load, Data Lakes, NoSQL, SQL Server Integration Services (SSIS), Data Processing, Data Architecture, Azure Synapse Analytics, Data Warehousing, Data Management, Microsoft Azure, Data Transformation, Database Management Systems, Data Infrastructure, Data Integration, Data Governance, Data Storage Technologies, Data Storage, Real Time Data
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression
Intermediate · Course · 1 - 3 Months

University of Illinois Urbana-Champaign
Skills you'll gain: Data Visualization, Interactive Data Visualization, Data Presentation, Infographics, Data Visualization Software, Data Storytelling, Plotly, Matplotlib, Journalism, Graphing, Data Literacy, Color Theory, Data Manipulation, Design Elements And Principles, Data Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Generative AI, Data Analysis, Advanced Analytics, Analytics, AI Product Strategy, Data Transformation, Predictive Analytics, Data Preprocessing, Machine Learning Algorithms, Responsible AI
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Django (Web Framework), Ajax, jQuery, Model View Controller, Object-Relational Mapping, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), JSON, Linux Commands, Application Deployment, Data Modeling, Database Design, Cloud Deployment, Web Applications, Database Development, Application Development, Web Development, Javascript, Object Oriented Programming (OOP), SQL
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Data Quality, Data Strategy, AI Enablement, Applied Machine Learning, Exploratory Data Analysis, Machine Learning, Machine Learning Methods
Intermediate · Course · 1 - 4 Weeks

Howard University
Skills you'll gain: Data Wrangling, Regression Analysis, Dimensionality Reduction, Data Science, Python Programming, Data Preprocessing, Predictive Modeling, Data Analysis, Linear Algebra, Exploratory Data Analysis, Model Evaluation
Mixed · Course · 1 - 4 Weeks

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Theoretical Computer Science, Applied Mathematics, Algorithms, Cryptography, Relational Databases, Data Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation
Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Portfolio Risk, Financial Market, Risk Management, Risk Analysis, Financial Trading, Probability Distribution, R (Software), Financial Data, R Programming, Portfolio Management, Statistical Programming, Securities (Finance), Time Series Analysis and Forecasting, Estimation, Statistical Modeling, Simulation and Simulation Software
Build toward a degree
Intermediate · Course · 1 - 4 Weeks