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: Microservices, .NET Framework, ASP.NET, Microsoft Azure, Object-Relational Mapping, Cloud Storage, API Gateway, Software Architecture, Payment Systems, Authentications, Software Development, C# (Programming Language), Model View Controller, Application Programming Interface (API), Authorization (Computing)
Beginner · Course · 3 - 6 Months

University of Michigan
Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Data Analysis, Dimensionality Reduction
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Regression Analysis, Statistical Modeling, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Data Manipulation, Pandas (Python Package), Machine Learning Methods, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Operational Analysis, Performance Analysis, Performance Improvement, Data Import/Export, Variance Analysis, Exploratory Data Analysis, Data Analysis, Financial Analysis, Operations Management, Operating Expense, Plot (Graphics), Waterfall Methodology
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Matplotlib, Statistical Modeling, Descriptive Statistics
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Analytical Skills, Business Analysis, Data Manipulation, Data Cleansing, Python Programming, Data Import/Export, Promotional Strategies
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Marketing Effectiveness, Case Studies, Applied Machine Learning, Emerging Technologies, Predictive Modeling, Exploratory Data Analysis
Beginner · Course · 1 - 4 Weeks

University of Minnesota
Skills you'll gain: Medical Devices, Stakeholder Analysis, Program Evaluation, Regulatory Affairs, Healthcare Industry Knowledge, Cost Benefit Analysis, Health Care Procedure and Regulation, Health Informatics, Health Technology, Health Policy, Regulatory Requirements, Clinical Trials, Financial Analysis, Probability & Statistics
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Data Import/Export, Data Processing, Applied Machine Learning, Artificial Intelligence, Data Quality, Exploratory Data Analysis, Data Analysis, Computer Vision, Natural Language Processing
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Google Gemini, Big Data, Data Analysis, Exploratory Data Analysis, Google Cloud Platform, Data Processing, Data Cleansing, Generative AI, Prompt Engineering, Data Visualization Software
Beginner · Course · 1 - 4 Weeks

University of Virginia
Skills you'll gain: Marketing Analytics, Marketing Effectiveness, Data-Driven Decision-Making, Marketing Strategies, Marketing, Customer Analysis, Brand Management, Web Analytics, Analytics, Regression Analysis, Return On Investment, Consumer Behaviour, A/B Testing
Beginner · Course · 1 - 3 Months