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.

The Chinese University of Hong Kong
Skills you'll gain: Model Evaluation, Analysis, Statistical Modeling, SPSS, Statistical Software, Statistical Analysis, Regression Analysis, SAS (Software), SPSS (Software), Exploratory Data Analysis, Statistical Methods, Data Analysis Software
★ 4.8 (25) · Mixed · Course · 3 - 6 Months

University of Michigan
Skills you'll gain: Generative AI, Model Evaluation, AI literacy, Data Ethics, Data Analysis, Model Training, Responsible AI, Data Literacy, Discussion Facilitation, Artificial Intelligence, Big Data, Predictive Modeling, Machine Learning, Social Impact
★ 4.8 (26) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Patterns, Prompt Engineering, Responsible AI, Data Presentation, Sampling (Statistics), Excel Formulas, Spreadsheet Software, Generative AI, Data Analysis, Analytical Skills
★ 4.9 (17) · Beginner · Course · 1 - 4 Weeks

Banco Interamericano de Desarrollo
Skills you'll gain: Digital Transformation, Digital Analysis, Business Transformation, Process Improvement, Operational Efficiency, Corporate Sustainability, Sustainable Business, Technology Strategies, Technology Solutions, Market Opportunities, Innovation, Market Trend, Emerging Technologies, Trend Analysis
★ 4.7 (46) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Marketing Analytics, Data-Driven Marketing, Analytics, Marketing, Meta Ads Manager, Data Analysis, Resource Utilization, Marketing Effectiveness, Registration, Statistical Methods, Digital Marketing, Social Media Marketing
★ 4.5 (10) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Entry, Microsoft Excel, Pivot Tables And Charts, Excel Formulas, Spreadsheet Software, Data Visualization, Data Visualization Software, Dashboard, Microsoft Office, Case Studies, Data Management, Business Analytics, Exploratory Data Analysis, Productivity Software, Business, Analysis, Data Presentation, Data Analysis, Data Manipulation, Data Literacy
★ 4.7 (16) · Beginner · Specialization · 1 - 3 Months

Universidad Nacional Autónoma de México
Skills you'll gain: Biology, Life Sciences, World History, Social Studies, Mathematical Modeling, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Google Analytics, Marketing Analytics, Data-Driven Marketing, Web Analytics, Campaign Management, Marketing Strategies, Digital Analysis, Analytics, Performance Measurement, Target Audience, Trend Analysis, Digital Marketing, Performance Reporting, Performance Analysis, Business Reporting, Time Series Analysis and Forecasting
Beginner · Course · 1 - 4 Weeks

École Polytechnique Fédérale de Lausanne
Skills you'll gain: Spatial Analysis, Spatial Data Analysis, GIS Software, Geospatial Information and Technology, Geographic Information Systems, Geospatial Mapping, Geostatistics, Interactive Data Visualization, Data Integration, Data Mapping, Augmented Reality, Statistical Analysis, Sampling (Statistics)
Beginner · Course · 1 - 3 Months

Skills you'll gain: JUnit, Apache Maven, Model View Controller, Unit Testing, Frontend Integration, Spring Boot, Restful API, Data Persistence, Web Services, Software Testing, Java Programming, Object-Relational Mapping, Java, Back-End Web Development, Secure Coding, Authentications, Data Modeling, Business Logic
★ 4.6 (28) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Recurrent Neural Networks (RNNs), Feature Engineering, Statistical Analysis, Data Analysis Software, Data Analysis, Digital Signal Processing, Statistical Methods, Advanced Analytics, Statistical Software, Regression Analysis, Data Transformation, Exploratory Data Analysis, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Predictive Analytics, Model Training
★ 5 (11) · Intermediate · Specialization · 3 - 6 Months

University of Pennsylvania
Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Data Visualization, Database Management, Query Languages, Data Visualization Software, Matplotlib, Data Storage, Pandas (Python Package), Big Data, Data Science, Relational Databases, Data Management, Data Manipulation, Data Cleansing, NumPy
Beginner · Course · 1 - 4 Weeks