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.

Skills you'll gain: UI/UX Research, Usability Testing, Presentations, User Experience Design, User Research, Data Ethics, User Centered Design, Research Design, Prototyping, Research Methodologies, Wireframing, Information Privacy
Beginner · Course · 1 - 4 Weeks
University of California, Davis
Skills you'll gain: Keyword Research, Search Engine Optimization, Persona Development, Search Engine Marketing, Content Creation, Social Media Strategy, Web Analytics and SEO, Social Media, Content Strategy, Social Media Marketing, Competitive Analysis, Target Audience, Data Analysis, Digital Media Strategy, Analytics, Google Analytics, Forecasting, Content Development and Management, Content Performance Analysis, Content Marketing
Beginner · Specialization · 3 - 6 Months
Arizona State University
Skills you'll gain: Oral Expression, Design Elements And Principles, Design Strategies, English Language, Language Learning
Beginner · Specialization · 3 - 6 Months

Università di Napoli Federico II
Skills you'll gain: International Relations, Political Sciences, Social Studies, Social Sciences, Diplomacy, World History, Research, Governance, Environmental Issue, Cultural Diversity, Intercultural Competence, Economics, Climate Change Adaptation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Splunk, Pivot Tables And Charts, Unstructured Data, Data Visualization Software, Data Modeling, Dashboard, Taxonomy, Data Integration, Workflow Management, Data Manipulation, Event Monitoring, Continuous Monitoring, Role-Based Access Control (RBAC), Scheduling
Mixed · Course · 1 - 3 Months

Skills you'll gain: CI/CD, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Agile Software Development, Application Deployment, Test Driven Development (TDD), Kubernetes, Gherkin (Scripting Language), Jenkins, Code Coverage, OpenShift, Cloud Applications, Agile Methodology, Behavior-Driven Development, Serverless Computing, DevOps, Secure Coding, Grafana, System Monitoring
Build toward a degree
Intermediate · Professional Certificate · 3 - 6 Months

Skills you'll gain: Splunk, Scripting, Servers, Data Pipelines, Network Troubleshooting, System Monitoring, Performance Tuning, Systems Administration, Configuration Management, Microsoft Windows, Data Integrity
Mixed · Course · 1 - 3 Months

University of Virginia
Skills you'll gain: AI Personalization, Marketing Strategies, Digital Transformation, Marketing, Marketing Analytics, Data-Driven Decision-Making, Artificial Intelligence, Digital Marketing, Business Strategy, Case Studies, Competitive Analysis, Network Analysis, Customer experience improvement, Customer Engagement
Beginner · Course · 1 - 4 Weeks

University of Michigan
Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Algorithms, Computer Programming, Software Design, Application Security, Other Programming Languages, Python Programming, System Programming, Computer Architecture, Java, Performance Tuning, Unix, Computer Science, Debugging
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Data Strategy, Big Data, Data Warehousing, Strategic Decision-Making, Apache Spark, Data Integration, Data Processing, Data Migration, Business Analytics, Data Management, Data Quality, Data Analysis, Scalability
Intermediate · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Algorithms, Deep Learning, Simulations, Feature Engineering, Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Linear Algebra, Performance Tuning, Pseudocode, Probability Distribution
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Text Mining, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Unstructured Data, Probability & Statistics
Intermediate · Course · 1 - 4 Weeks