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.

Skills you'll gain: Shiny (R Package), Cloud Deployment, Interactive Data Visualization, Data Visualization, Cloud Applications, Statistical Visualization, Application Deployment, Performance Tuning, Dashboard Creation, R (Software), Web Applications, Application Development, Frontend Performance, R Programming, Event-Driven Programming, Dashboard, Exploratory Data Analysis, Driving engagement, UI Components, User Interface (UI)
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Shiny (R Package), Application Deployment, UI Components, Server Side, User Interface (UI), Application Lifecycle Management, Authentications, Interactive Data Visualization, User Interface (UI) Design, Software Development Life Cycle, Interactive Design, Application Design, Application Development, Security Controls, Web Applications, R (Software), Package and Software Management, Development Environment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: iOS Development, Swift Programming, Apple iOS, Mobile Development, User Interface (UI), User Interface (UI) Design, Restful API, Application Development, Development Environment, Application Programming Interface (API), UI Components, Real Time Data, Data Integration
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Shiny (R Package), Interactive Data Visualization, Dashboard Creation, R (Software), Dashboard, User Interface (UI), UI Components, Data Integration, Server Side, Interactive Design, User Interface (UI) Design, Web Applications, Software Architecture, Event-Driven Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Alteryx, Predictive Modeling, People Analytics, Scripting, R Programming, Predictive Analytics, Data Science, Advanced Analytics, Scripting Languages, R (Software), Trend Analysis, Data Preprocessing, Data Integration, Exploratory Data Analysis, Data Manipulation, Data Visualization Software, Data Analysis, Model Evaluation, Employee Retention, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Data Preprocessing, Model Training, Model Optimization, Applied Machine Learning, Model Evaluation, R Programming, Data Transformation, Data Cleansing, Predictive Modeling, Predictive Analytics, Supervised Learning, Classification Algorithms, Machine Learning Algorithms
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Supervised Learning, Model Training, Data Preprocessing, Data-Driven Decision-Making, Financial Data, Classification Algorithms, Plot (Graphics)
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Bioinformatics, R (Software), R Programming, Molecular, Cellular, and Microbiology, Molecular Biology, Data Manipulation, Programming Principles, File I/O, Scripting Languages, Data Processing
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Analytics, R Programming, Scripting, Google Sheets, Email Automation, Tidyverse (R Package), Predictive Modeling, Automation, Data Manipulation, Health Technology, GitHub, Gmail, Git (Version Control System), Command-Line Interface
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Tableau Software, Dashboard, Case Studies, Business Intelligence, Dashboard Creation, Business Analytics, Analytics, Data Analysis, Data-Driven Decision-Making, Advanced Analytics, Descriptive Analytics, Decision Intelligence, Predictive Analytics, Regression Analysis, Business Requirements, Cost Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, Application Deployment, Tidyverse (R Package), R Programming, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Dashboard Creation, Docker (Software), Containerization, Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours

University of Virginia
Skills you'll gain: Web Presence, Brand Management, Personal Attributes, Safety and Security, digital literacy, Social Media, Self-Awareness, Social Media Management, Social Media Strategy, Relationship Building, Information Privacy, Goal Setting, Constructive Feedback
★ 4.4 (8.9K) · Beginner · Course · 1 - 3 Months