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.

University of California, Irvine
Skills you'll gain: Cross-Functional Team Leadership, Diversity and Inclusion, Intercultural Competence, Diversity Awareness, Workplace inclusivity, Organizational Leadership, Cultural Diversity, Business Leadership, People Development, Leadership, Leadership Development, Global Marketing, Decision Making
Beginner · Course · 1 - 4 Weeks

Association of International Certified Professional Accountants
Skills you'll gain: Robotic Process Automation, Business Process Automation, Return On Investment, Automation, Accounting and Finance Software, Business Requirements, Process Analysis, Business Metrics, Value Propositions, Process Improvement, Project Scoping, Digital Transformation
Mixed · Course · 1 - 4 Weeks

Carnegie Mellon University
Skills you'll gain: Mechanical Engineering, Chemical Engineering, Engineering, Materials science, Chemistry, Physics, Molecular, Cellular, and Microbiology, Mathematical Modeling, Physical Science, Biology
Intermediate · Course · 1 - 3 Months

University of Colorado System
Skills you'll gain: Security Requirements Analysis, Requirements Analysis, Risk Management Framework, Risking, User Requirements Documents, Scalability, Verification And Validation, Software Visualization, Safety and Security
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Student Engagement, Pedagogy, Teaching, Special Education, Digital pedagogy, Disabilities, Instructional Strategies, Learning Strategies, Diversity Awareness, Diversity Equity and Inclusion Initiatives, Higher Education
Mixed · Course · 1 - 4 Weeks

Alfaisal University | KLD
Skills you'll gain: Standard Accounting Practices, Accounting, Financial Statements, General Accounting, Financial Reporting, Bookkeeping, Generally Accepted Accounting Principles (GAAP), Financial Accounting, International Financial Reporting Standards, Income Statement, Balance Sheet
Beginner · Course · 1 - 4 Weeks

University of Maryland, College Park
Skills you'll gain: Intellectual Property, Law, Regulation, and Compliance, Entrepreneurship, Business, Commercial Laws, Labor Law, Business Management, Contract Management, Staff Management, New Business Development, Organizational Structure, Corporate Tax
Beginner · Course · 1 - 3 Months

Tecnológico de Monterrey
Skills you'll gain: Pandas (Python Package), Exploratory Data Analysis, Data Visualization Software, Data Manipulation, Data Analysis, Data Transformation, Python Programming, Data Structures, Data Import/Export, Software Installation
Beginner · Course · 1 - 4 Weeks

Stanford University
Skills you'll gain: Patient Communication, Patient-centered Care, Caregiving, Patient Advocacy, Patient Education And Counseling, Cultural Responsiveness, Mental Health Diseases and Disorders, Interpersonal Communications, Care Management, Communication, Stress Management, Discussion Facilitation, Family Support
Beginner · Course · 1 - 3 Months

Skills you'll gain: Animations, Graphic Design, Graphic and Visual Design Software, Graphic and Visual Design, Content Creation, Digital Publishing, Multimedia, Video Production, Media Production, Data Import/Export, Data Sharing, Marketing
Beginner · Guided Project · Less Than 2 Hours
University of Virginia
Skills you'll gain: Design Thinking, Human Centered Design, Innovation, Strategic Thinking, Open Mindset, Cognitive flexibility, Creativity, Collaboration, Dealing With Ambiguity, Empathy, Adaptability, Qualitative Research, Data Visualization
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Image Analysis, Computer Vision, Autoencoders, Convolutional Neural Networks, Vision Transformer (ViT), Generative Adversarial Networks (GANs), Recurrent Neural Networks (RNNs), Deep Learning, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Visualization (Computer Graphics), Machine Learning Methods, Model Deployment, Embeddings, Artificial Intelligence, Data Ethics, Data Processing, Applied Machine Learning, Linear Algebra
Build toward a degree
Intermediate · Specialization · 1 - 3 Months