Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.

Northeastern University
Skills you'll gain: Data Storytelling, Software Quality Assurance, Open Web Application Security Project (OWASP), Text Mining, Database Design, Agile Software Development, Software Development Life Cycle, Data Governance, Unsupervised Learning, Interactive Data Visualization, Software Architecture, Plotly, Cybersecurity, Classification Algorithms, PyTorch (Machine Learning Library), Statistical Hypothesis Testing, Java, Depreciation, Probability & Statistics, Cash Flows
Earn a degree
Degree · 1 - 4 Years

Yale University
Skills you'll gain: Stress Management, Mindfulness, Parent Communication, Time Management, Emotional Intelligence, Productivity, Personal Development, Self-Awareness, Child Development, Positive Behavior Support, Resilience, Family Support, Health Technology
Beginner · Course · 1 - 3 Months

L&T EduTech
Skills you'll gain: Geospatial Information and Technology, Spatial Analysis, GIS Software, Spatial Data Analysis, Geographic Information Systems, Geospatial Mapping, Construction Engineering, Database Management, Construction, Construction Management, Architecture and Construction, Global Positioning Systems, Visualization (Computer Graphics), Civil and Architectural Engineering, Decision Support Systems, Building Information Modeling, Survey Creation, AutoCAD Civil 3D, Data Manipulation, Network Analysis
Advanced · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Programming Principles, Computational Thinking, IBM Cloud, Advanced Mathematics
Build toward a degree
Advanced · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Database Design, Software Quality Assurance, Enterprise Architecture, Open Web Application Security Project (OWASP), Data Governance, User Research, Stakeholder Engagement, Algorithms, Agile Software Development, Software Development Life Cycle, Unified Modeling Language, Software Architecture, Cybersecurity, Responsive Web Design, Java, Cascading Style Sheets (CSS), Agile Methodology, Object Oriented Programming (OOP), Data Structures, Data Ethics
Earn a degree
Degree · 1 - 4 Years

Skills you'll gain: Generative AI, ChatGPT, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Machine Learning
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MySQL Workbench, Extract, Transform, Load, Data Modeling, Database Design, MySQL, Data Warehousing, Database Management, Databases, Relational Databases, Database Architecture and Administration, Advanced Analytics, Data Analysis, Data Visualization Software
Intermediate · Course · 1 - 4 Weeks

Real Madrid Graduate School Universidad Europea
Skills you'll gain: Precision Medicine, Sports Medicine, Athletic Training, Rehabilitation, Responsible AI, Data Ethics, Injury Prevention, Augmented and Virtual Reality (AR/VR), AI Personalization, Health Systems, Exercise Science, Health Technology, Artificial Intelligence, Emerging Technologies, Healthcare Ethics, Machine Learning, Human Machine Interfaces, Predictive Modeling, Risk Management, Real Time Data
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Portfolio Risk, Portfolio Management, Risk Management, Financial Market, Financial Modeling, Investments, Correlation Analysis, Market Data, Return On Investment, Analysis, Statistics
Intermediate · Guided Project · Less Than 2 Hours

Coursera
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Sampling (Statistics), Statistical Methods, Model Deployment, Statistical Modeling, Human Machine Interfaces, Performance Metric, Performance Analysis, Applied Machine Learning, Anomaly Detection, Predictive Analytics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Structures, Algorithms, Graph Theory, Programming Principles, Theoretical Computer Science, Computer Science, Computer Programming, Python Programming, Pandas (Python Package), Machine Learning Algorithms, Computational Thinking, C++ (Programming Language), Data Architecture, Random Forest Algorithm, Performance Tuning, Object Oriented Programming (OOP), Network Analysis, Program Development, Problem Solving, Debugging
Intermediate · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data
Advanced · Course · 1 - 3 Months