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.

Packt
Skills you'll gain: Ruby on Rails, Model View Controller, Ruby (Programming Language), Object-Relational Mapping, Test Automation, Restful API, Application Deployment, Web Applications, Web Development, Full-Stack Web Development, Authentications, Development Environment, Data Modeling, Data Validation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: SAS (Software), Data Visualization, Data Manipulation, Data Analysis, Data Import/Export, Data Visualization Software, SQL, Statistical Analysis, Data Cleansing, Data Transformation, Exploratory Data Analysis
Intermediate · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Data Visualization Software, Tableau Software, Data Visualization, Data Analysis, Geospatial Mapping, Data Storytelling, Business Analytics, Data Presentation, Advanced Analytics, Spatial Analysis, Marketing Analytics, Data Science, Data Manipulation, Forecasting
Advanced · Course · 1 - 4 Weeks
O.P. Jindal Global University
Skills you'll gain: Econometrics, Surveys, Environmental Laws, Sampling (Statistics), Social Sciences, Research Reports, Social Determinants Of Health, Matplotlib, Public Policies, Research Methodologies, Political Sciences, Economics, Policy, and Social Studies, Economic Development, Policy Analysis, International Relations, Diplomacy, Economics, Complex Problem Solving, Immigration Law, Socioeconomics
Earn a degree
Degree · 1 - 4 Years

Skills you'll gain: Data Processing, Predictive Modeling, Feature Engineering, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis, Data Analysis, Machine Learning, Data Import/Export, Data Visualization, Virtual Environment
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Computer Vision, Artificial Neural Networks, Predictive Modeling, Exploratory Data Analysis, Performance Tuning
Beginner · Course · 1 - 3 Months

Skills you'll gain: Dashboard, Kibana, Google Cloud Platform, Cloud Computing, Data Import/Export, Financial Data, Mainframe Computing, Dataflow, Big Data, Exploratory Data Analysis, SQL, Data Analysis
Beginner · Project · Less Than 2 Hours

IIT Roorkee
Skills you'll gain: Unsupervised Learning, Supervised Learning, Anomaly Detection, Data Mining, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Processing, Pandas (Python Package), Big Data, Data Cleansing, Data Science, Data Visualization, Python Programming, Data Manipulation, Exploratory Data Analysis, Deep Learning, Regression Analysis, Artificial Neural Networks
Beginner · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Looker (Software), Database Development, Database Design, Data Modeling, SQL, Exploratory Data Analysis, Data Visualization Software, Data Analysis
Beginner · Project · Less Than 2 Hours

Skills you'll gain: Transaction Processing, Data Access, Dataflow, Database Management, Stored Procedure, SQL, Object-Relational Mapping, Data Integrity, Data Import/Export, Databases, Secure Coding, File Systems
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis
Mixed · Course · 1 - 4 Weeks