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: Data Lakes, Data Governance, Data Management, Microsoft Azure, Data Architecture, Data Warehousing, Data Integrity, Data Pipelines, Data Security, Role-Based Access Control (RBAC), Data Transformation, Real Time Data
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Unit Testing, Test Driven Development (TDD), Software Testing, Scalability, Dashboard, MLOps (Machine Learning Operations), Testability, Kubernetes, Version Control, Model Deployment, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Tensorflow, CI/CD, Containerization, Docker (Software), Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming
Intermediate · Specialization · 1 - 3 Months

University of Virginia
Skills you'll gain: Financial Statements, Financial Accounting, Balance Sheet, Financial Reporting, Financial Statement Analysis, Design Thinking, Accounting, Annual Reports, Innovation, Process Design, Business Modeling, Entrepreneurship, Philanthropy, Leadership Development, Strategic Leadership, Corporate Sustainability, Professional Development, Business Ethics, Finance, HR Tech
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Bash (Scripting Language), Test Automation, Unit Testing, Scripting, Software Testing, Linux Commands, Test Driven Development (TDD), Unix Commands, Development Environment, Operating Systems, Command-Line Interface, File Management, OS Process Management, File Systems, Automation, Python Programming
Beginner · Course · 1 - 3 Months

Beginner · Course · 1 - 3 Months

Skills you'll gain: Shiny (R Package), Interactive Data Visualization, Data Visualization, R (Software), Dashboard, User Interface (UI), Data Visualization Software, UI Components, Data Integration, Server Side, Web Applications, Application Design
Beginner · Course · 1 - 4 Weeks

University of Colorado System
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Health Insurance Portability And Accountability Act (HIPAA) Compliance, R Programming, Medical Privacy, Google Cloud Platform, Data Ethics, Data Science, Health Informatics, Data Processing, Electronic Medical Record, SQL, Data Access
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Intrusion Detection and Prevention, Incident Response, Computer Security Incident Management, Threat Detection, Event Monitoring, Security Information and Event Management (SIEM), Incident Management, Security Management, Continuous Monitoring, Network Security, Network Monitoring, Splunk, Network Analysis, TCP/IP, Network Protocols, Query Languages
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Marketing Automation, AI Personalization, Marketing Effectiveness, Marketing, Content Marketing, Marketing Strategies, MarTech, Advertising Campaigns, Agentic Workflows, AI Enablement, Marketing Analytics, Customer Relationship Management, Data-Driven Decision-Making, Social Media Management, Customer experience improvement
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Java Programming, Java, Development Environment, Computer Programming, Integrated Development Environments, Object Oriented Programming (OOP), Data Structures, File I/O, Debugging
Beginner · Course · 1 - 3 Months

Peking University
Skills you'll gain: Oral Comprehension, Vocabulary, Writing, Language Competency, Literacy, Language Learning, Grammar
Advanced · Course · 3 - 6 Months

Skills you'll gain: Robotic Process Automation, Customer experience improvement, ChatGPT, Data Science, Machine Learning Methods
Beginner · Course · 1 - 4 Weeks