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: Embedded Software, Embedded Systems, C++ (Programming Language), Object Oriented Design, Object Oriented Programming (OOP), Development Testing, System Programming, C (Programming Language), Development Environment, Verification And Validation, Integrated Development Environments, Software Design Patterns, Peripheral Devices, Debugging
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Integrity, Data Cleansing, Data Quality, Data Validation, Sample Size Determination, Sampling (Statistics), Statistics, Probability & Statistics, Statistical Analysis, Data Preprocessing, Small Data
Beginner · Course · 1 - 4 Weeks

Corporate Finance Institute
Skills you'll gain: Tableau Software, Data Presentation, Data Storytelling, Data Visualization Software, Dashboard, Key Performance Indicators (KPIs), Trend Analysis, Data Analysis, Business Metrics
Advanced · Course · 1 - 3 Months

Rice University
Skills you'll gain: Timelines, Ancient History, Scientific Methods, World History, Anthropology, General Science and Research, Environmental Science, Investigation, Environment, Spatial Analysis, Geographic Information Systems, Research, Geospatial Information and Technology, Research Methodologies, Data Collection, Biology
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Object Oriented Programming (OOP), Software Design, Program Development, Data Structures, Visualization (Computer Graphics), Graphic and Visual Design, Computer Graphics, Creative Design, Python Programming, Algorithms, Linear Algebra, Simulations, Spatial Analysis
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Back-End Web Development, Django (Web Framework), Server Side, Data Migration, Object-Relational Mapping, Full-Stack Web Development, Data Structures, Database Development, Operational Databases, Relational Databases
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Pandas (Python Package), Data Analysis, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Matplotlib, Jupyter, Data Visualization, NumPy, Python Programming
Beginner · Guided Project · Less Than 2 Hours
University of Illinois Urbana-Champaign
Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Classification Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Decision Tree Learning, Data Mining, Exploratory Data Analysis, Regression Analysis
Beginner · Course · 1 - 3 Months

Skills you'll gain: Social Media Marketing, Social Media, Social Media Strategy, Social Media Campaigns, Instagram, Facebook, Brand Awareness, Marketing, Content Marketing, Marketing Strategy and Techniques, Marketing Analytics, Web Analytics, Drive Engagement, Business
Beginner · Guided Project · Less Than 2 Hours

Codio
Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Statistical Analysis, Data Import/Export, Data Cleansing, Probability & Statistics, Data Manipulation, Descriptive Statistics, Pandas (Python Package), Exploratory Data Analysis, Correlation Analysis, Python Programming, Programming Principles, Computer Programming, Computational Logic
Mixed · Course · 1 - 3 Months

Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic
Beginner · Guided Project · Less Than 2 Hours

Università di Napoli Federico II
Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Transformation, Model Evaluation
Intermediate · Course · 1 - 3 Months