R Statistics Courses
R Statistics courses can help you learn data manipulation, statistical modeling, hypothesis testing, and data visualization techniques. You can build skills in regression analysis, time series forecasting, and creating reproducible reports. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, that support analyzing datasets and presenting findings effectively. By engaging with these tools, you can apply statistical methods to real-world problems, enhancing your ability to draw insights from data.
Popular R Statistics Courses and Certifications
Fred Hutchinson Cancer Center
Skills you'll gain: Bioinformatics, Data Analysis Software, Data Processing, Data Analysis, Data Literacy, Metadata Management, R Programming
Universiteit Leiden
Skills you'll gain: Data Analysis, Research Design, Epidemiology, Statistical Inference, Statistical Analysis, Analysis, Clinical Research, Biostatistics, Quantitative Research, Public Health, Statistical Methods, Health Care, Probability & Statistics, Research Methodologies, Research, Clinical Trials, Science and Research, Medical Science and Research, Statistics, Descriptive Statistics
University of Colorado Boulder
Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Literacy, Data Analysis, Analysis, Applied Mathematics, Statistics, Computer Science
Columbia University
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Decision Intelligence, Markov Model, Deep Learning, Applied Machine Learning, Statistical Methods, Sampling (Statistics)
Skills you'll gain: Social Media Analytics, Data Visualization, Plot (Graphics), Statistical Visualization, Matplotlib, Marketing Analytics, Social Media Marketing, Python Programming, Social Media, Data Presentation, Data Analysis, Data Wrangling, Exploratory Data Analysis, Data Cleansing, Seaborn, Content Performance Analysis, Jupyter
Fred Hutchinson Cancer Center
Skills you'll gain: Collaborative Software, GitHub, Technical Writing, Technical Support, Version Control, Document Management, Technical Documentation, Typography
University of Colorado System
Skills you'll gain: Marketing Analytics, Data-Driven Marketing, Classification And Regression Tree (CART), Probability & Statistics, AI Personalization, Statistical Software, Regression Analysis, Model Evaluation, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Anomaly Detection, Statistical Hypothesis Testing, Advanced Analytics, Machine Learning
EDHEC Business School
Skills you'll gain: Text Mining, Applied Machine Learning, Network Analysis, Data Visualization Software, Machine Learning Methods, Statistical Machine Learning, Financial Statement Analysis, Financial Data, Market Data, Unstructured Data, Predictive Modeling, Web Scraping, Social Network Analysis, Advanced Analytics, Financial Statements, Financial Market, Financial Analysis, Corporate Finance, Investments, Data Mining
Skills you'll gain: Model Optimization, Feature Engineering, Model Deployment, Tensorflow, Model Training, Exploratory Data Analysis, Google Cloud Platform, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Machine Learning Software, Data Quality, Machine Learning Methods, Business Metrics, Machine Learning, Applied Machine Learning, Dataflow, Artificial Neural Networks, Data Pipelines, Logistic Regression
Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Model Training, Machine Learning Methods, Applied Machine Learning, Matlab, Statistical Machine Learning, Regression Analysis, Model Optimization, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Data Validation
Skills you'll gain: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Dashboard Creation, Dashboard, Data Analysis, Data Science, Probability & Statistics, Statistical Methods, Statistical Analysis, Jupyter, Matplotlib, Data Preprocessing, Pandas (Python Package), Statistical Inference, Statistics, Python Programming, Machine Learning
Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, Generative Model Architectures, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Statistical Machine Learning, Machine Learning Algorithms, Model Training, Artificial Neural Networks, Feature Engineering, Unstructured Data, Model Evaluation, Dimensionality Reduction, Model Optimization
In summary, here are 10 of our most popular r statistics courses
- Researcher's guide to omic fundamentals:Â Fred Hutchinson Cancer Center
- Population Health: Study Design:Â Universiteit Leiden
- Data Science as a Field:Â University of Colorado Boulder
- Decision Making and Reinforcement Learning:Â Columbia University
- Clean and analyze social media usage data with Python:Â Coursera
- Write Smarter with Overleaf and LaTeX:Â Fred Hutchinson Cancer Center
- Data Science for Marketing:Â University of Colorado System
- Python and Machine-Learning for Asset Management with Alternative Data Sets:Â EDHEC Business School
- Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
- Predictive Modeling and Machine Learning with MATLAB:Â MathWorks
