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
Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Data Visualization, Data Presentation, Model Training, Exploratory Data Analysis, Machine Learning Methods, Applied Machine Learning, Model Optimization, Data Science, Machine Learning, Data Wrangling, Data Analysis, Data Preprocessing, Matlab, Data Processing, Technical Communication, Predictive Modeling, Data Import/Export
University of California, Santa Cruz
Skills you'll gain: File I/O, Debugging, Go (Programming Language), Programming Principles, C (Programming Language), Program Development, Data Structures, Computer Programming, C and C++, Algorithms
Indian Institute for Human Settlements
Skills you'll gain: Innovation, Sustainable Development, Community Development, Spatial Analysis, Environmental Issue, Social Sciences, Policy Analysis, Demography, Climate Change Adaptation, Environmental Policy, Socioeconomics, Systems Thinking, Economic Development, Sociology, Emerging Technologies, Cultural Diversity, Big Data, Data Literacy, Research Methodologies
Corporate Finance Institute
Skills you'll gain: Model Evaluation, Feature Engineering, Data Science, Data Analysis, Business Analytics, Data Literacy, Statistical Methods, Predictive Analytics, Predictive Modeling, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Business Intelligence, Machine Learning Methods, Machine Learning, Data Cleansing, Exploratory Data Analysis, Data Preprocessing, Classification Algorithms
Arizona State University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R (Software), Statistical Programming, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Network Model, Simulations, Sampling (Statistics), Probability Distribution, Dependency Analysis
Northeastern University
Skills you'll gain: Feature Engineering, Exploratory Data Analysis, AI Enablement, Artificial Intelligence, AI literacy, Data Literacy, Responsible AI, Data Analysis, Descriptive Statistics, Technology Strategies, Business Strategy, Machine Learning, AI Integrations, Unstructured Data, Predictive Modeling
Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Data Visualization Software, Python Programming, NumPy, Statistics, Data Analysis, Git (Version Control System), Collaborative Software, AI Workflows, Data Transformation
University of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Peking University
Skills you'll gain: C# (Programming Language), Object Oriented Programming (OOP), .NET Framework, Object Oriented Design, C and C++, Microsoft Visual Studio, Extensible Markup Language (XML), Data Access, Extensible Languages and XML, C++ (Programming Language), Computer Programming, Database Application, Programming Principles, C (Programming Language), User Interface (UI), UI Components, Event-Driven Programming, Algorithms, Application Development, Network Model
University of Michigan
Skills you'll gain: Statistical Modeling, Statistics, Regression Analysis, Statistical Methods, Sampling (Statistics), Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Software, Statistical Hypothesis Testing, Predictive Modeling
O.P. Jindal Global University
Skills you'll gain: Econometrics, Regression Analysis, Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Statistical Modeling, Statistical Analysis, Correlation Analysis, Time Series Analysis and Forecasting, Statistics, Economics, Statistical Inference, Mathematical Modeling, Probability Distribution, Logistic Regression, Model Evaluation
Skills you'll gain: Portfolio Risk, Portfolio Management, Risk Modeling, Financial Data, Risk Analysis, Investment Management, Return On Investment, Time Series Analysis and Forecasting, Financial Modeling, Investments, Object Oriented Programming (OOP), Statistical Analysis, General Finance, Correlation Analysis, Simulations, Regression Analysis, Financial Forecasting, Simulation and Simulation Software, Jupyter, Python Programming
In summary, here are 10 of our most popular r statistics courses
- Data Science Project: MATLAB for the Real World: MathWorks
- GO Programming for Everyone: Part 1: University of California, Santa Cruz
- Shaping Urban Futures: Indian Institute for Human Settlements
- Data Science & Machine Learning Fundamentals: Corporate Finance Institute
- Bayesian Statistical Concepts and Methods: Arizona State University
- Practical AI for Professionals: Northeastern University
- Python for Data Science (and Version Control with GitHub): Coursera
- Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
- C#程序设计: Peking University
- Linear Regression Modeling for Health Data: University of Michigan
