R Courses
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.
Popular R Courses and Certifications
Skills you'll gain: Job Control Language (JCL), Mainframe Computing, z/OS, Virtualization, Virtualization and Virtual Machines, Unix, IBM DB2, IBM Cloud, Data Management, Hardware Architecture, Data Storage, Operating System Administration, Infrastructure Architecture, System Programming, Operating Systems, Unix Commands, File Systems, Linux, Control Panels, Command-Line Interface
Skills you'll gain: Django (Web Framework), Web Development, Web Servers, Web Applications, Data Modeling, Back-End Web Development, MySQL, Application Security, Database Development, Model View Controller, Object-Relational Mapping, Application Frameworks, Database Management, Hypertext Markup Language (HTML)
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution
ESSEC Business School
Skills you'll gain: Marketing Analytics, Customer Analysis, Business Marketing, Business Analytics, Customer Insights, R Programming, Data-Driven Decision-Making, Data Analysis Software, Target Market, Statistical Analysis, Statistical Modeling, Predictive Modeling, Customer Relationship Management, Statistical Methods
University of Michigan
Skills you'll gain: Finite Element Methods, Engineering Analysis, Mathematical Software, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, C++ (Programming Language)
Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms
Johns Hopkins University
Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Data Structures, Python Programming, Data Analysis, Algorithms, Life Sciences
University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy
Hebrew University of Jerusalem
Skills you'll gain: Computer Science, Computer Architecture, Computer Programming, System Programming, Virtual Machines, Operating Systems, Hardware Architecture, Software Architecture, Algorithms, Object Oriented Programming (OOP), Data Structures, Computer Graphic Techniques
University of Alberta
Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution
Johns Hopkins University
Skills you'll gain: Sampling (Statistics), Bayesian Statistics, Probability & Statistics, Statistical Inference, Statistical Methods, Statistics, Probability, Probability Distribution, Statistical Analysis, Biostatistics, Statistical Hypothesis Testing
Edge Impulse
Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing
In summary, here are 10 of our most popular r programming courses
- IBM z/OS Mainframe Practitioner: IBM
- Django Web Framework : Meta
- Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
- Foundations of marketing analytics: ESSEC Business School
- The Finite Element Method for Problems in Physics: University of Michigan
- The Nuts and Bolts of Machine Learning: Google
- Algorithms for DNA Sequencing: Johns Hopkins University
- Inferential Statistical Analysis with Python: University of Michigan
- Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course): Hebrew University of Jerusalem
- Sample-based Learning Methods: University of Alberta
