R courses can help you learn data manipulation, statistical analysis, data visualization, and programming fundamentals. You can build skills in creating reproducible research, performing regression analysis, and implementing machine learning algorithms. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, which enhance your ability to analyze datasets and present findings effectively.

University of Colorado System
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Clinical Research, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Medical Privacy, Data Manipulation, Predictive Modeling, Database Design, Google Cloud Platform, Intensive Care Unit, Data Ethics, Data Quality, Natural Language Processing, Bioinformatics, Informatics, Text Mining, Clinical Informatics, R Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Cloud Services, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Ad Hoc Analysis, Applied Machine Learning
Intermediate · Specialization · 3 - 6 Months
Instituto Tecnológico de Aeronáutica
Skills you'll gain: JUnit, Unified Modeling Language, Unit Testing, Object Oriented Design, Object Oriented Programming (OOP), Software Design, Java, Java Programming, Software Engineering, Programming Principles, Agile Software Development, Eclipse (Software)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Responsible AI, Anomaly Detection, Computer Vision, Artificial Intelligence, Microsoft Azure, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Data Ethics, Machine Learning, Predictive Modeling
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Processing, Data Integration, Statistical Programming, Data Analysis, Data Presentation
Intermediate · Course · 1 - 3 Months

Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Data-Driven Decision-Making, Analytics, Data Science, Feature Engineering, Data Preprocessing, Machine Learning, Telemarketing, Model Deployment
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Probability Distribution, Statistics, Data Science, Statistical Analysis, A/B Testing, Statistical Methods, Probability, Statistical Inference, Statistical Programming, Python Programming, Technical Communication
Advanced · Course · 1 - 3 Months

University of Toronto
Skills you'll gain: Global Positioning Systems, Estimation, Robotics, Deep Learning, Machine Learning Methods, Computer Vision, Control Systems, Mathematical Modeling, Applied Mathematics, Linear Algebra
Advanced · Course · 1 - 3 Months

University of Toronto
Skills you'll gain: Model View Controller, Apple iOS, Apple Xcode, Swift Programming, User Interface (UI), Mobile Development, UI Components, User Interface and User Experience (UI/UX) Design, Application Frameworks, Computer Programming
Mixed · Course · 1 - 3 Months

Wesleyan University
Skills you'll gain: Descriptive Statistics, Data Manipulation, Data Presentation, Data Management, Data Literacy, Graphing, SAS (Software), Peer Review, Data Analysis, Statistics, Research Reports, Exploratory Data Analysis, Python Programming
Mixed · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Data Visualization, Exploratory Data Analysis, Data Visualization Software, Data Manipulation, Data Ethics, Tableau Software, Data Analysis, Pandas (Python Package), Data Cleansing, Data Preprocessing, Data Validation, Technical Communication, Data Transformation, Python Programming
Advanced · Course · 1 - 3 Months

Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Deep Learning, Autoencoders, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Performance Tuning
Intermediate · Course · 1 - 3 Months