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.

Johns Hopkins University
Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, AI Security, Machine Learning
Intermediate · Course · 1 - 3 Months
University of Illinois Urbana-Champaign
Skills you'll gain: Lean Six Sigma, Performance Improvement, Statistical Process Controls, Operational Analysis, Process Improvement, Statistical Methods, Continuous Improvement Process, Innovation, Operations Management, Probability & Statistics, Problem Solving
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Facebook, Content Performance Analysis, Drive Engagement, Social Media, Social Media Marketing, Target Audience, Instagram, Customer Insights, Advertising, Web Analytics, Social Work
Beginner · Guided Project · Less Than 2 Hours

Google Cloud
Skills you'll gain: Looker (Software), Data Modeling, Exploratory Data Analysis, Data Validation, Data Maintenance, Problem Management, Data Analysis, Data Visualization, Data Analysis Software, Google Cloud Platform
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Full-Stack Web Development, Responsive Web Design, Email Automation, Order Management, Data Validation, User Interface (UI) Design, Search Engine Optimization, Web Applications, JavaScript Frameworks, Authentications, User Interface (UI), React.js, Payment Processing, E-Commerce, PostgreSQL, Dashboard, Database Development, Object-Relational Mapping, Product Improvement, Real Time Data
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Linux, Linux Commands, C (Programming Language), System Programming, Unix Commands, Command-Line Interface, Programming Principles, Development Environment, Computer Programming Tools, Scripting, Data Structures, Program Development, Debugging
Mixed · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Data Analysis, Data Literacy, No-Code Development, Data Science, Predictive Modeling, Data Ethics, Data Capture, Data Modeling, Data Processing, Data Transformation, Data Integrity, Data Cleansing, Applied Machine Learning, Data Governance, Data Collection, Data Integration
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram
Mixed · Course · 1 - 4 Weeks

LearnQuest
Skills you'll gain: Exploratory Data Analysis, Teradata SQL, JSON, Data Integration, Advanced Analytics, Data Cleansing, Text Mining, Data Quality, Data Analysis, Statistical Analysis, Application Programming Interface (API), Database Management, Natural Language Processing
Intermediate · Course · 1 - 4 Weeks

Board Infinity
Skills you'll gain: Object-Relational Mapping, Database Design
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines
Mixed · Course · 1 - 4 Weeks