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: Multimodal Prompts, Data Presentation, Strategic Thinking, AI Enablement, Customer Insights, Large Language Modeling, Analytical Skills, Data Synthesis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Computer Vision, Image Analysis, Real Time Data, Python Programming, Development Environment, NumPy, Debugging, Software Installation
Mixed · Course · 1 - 4 Weeks

IESE Business School
Skills you'll gain: Financial Statements, Financial Statement Analysis, Income Statement, Accounting, Cash Flows, Balance Sheet, Accrual Accounting, Financial Accounting, Financial Reporting, Microsoft Excel, Financial Analysis, Cash Management
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Predictive Modeling, Predictive Analytics, Logistic Regression, Exploratory Data Analysis, Data Visualization, Data Modeling, Data Presentation, Business Analytics, Data Analysis, Statistical Modeling, Regression Analysis, Classification Algorithms, Microsoft Excel, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

University of California, Irvine
Skills you'll gain: Linux, Operating System Administration, Operating Systems, Integrated Development Environments, File Systems, Internet Of Things, Development Environment, Embedded Systems, Python Programming, OS Process Management, Computer Hardware, UI Components, Computer Programming
Mixed · Course · 1 - 4 Weeks
DeepLearning.AI
Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Deep Learning, Keras (Neural Network Library), Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics), Performance Tuning, Network Architecture
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Data Structures, Graph Theory, Algorithms, Computational Thinking
Intermediate · Course · 1 - 3 Months

Universitat Politècnica de València
Skills you'll gain: Business Systems, Business Technologies, Enterprise Resource Planning, Supply Chain Management, Management Information Systems, Microsoft Excel, Geographic Information Systems, Web Development, Web Applications, Customer Relationship Management
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Visualization Software, Graphing, Data Presentation, Histogram, User Interface (UI)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Structures, Python Programming, Programming Principles, Computer Programming, Program Development, Object Oriented Programming (OOP), Scripting, Debugging, Scripting Languages, Algorithms, Functional Design
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: User Story, Agile Software Development, Scrum (Software Development), Agile Methodology, Kanban Principles, Backlogs, Sprint Retrospectives, Agile Project Management, Workflow Management, Sprint Planning, Team Management, Product Requirements, Lean Methodologies, Performance Measurement
Beginner · Course · 1 - 4 Weeks
University of Alberta
Skills you'll gain: Agile Methodology, Kanban Principles, Agile Software Development, Software Development Methodologies, Software Development Life Cycle, Scrum (Software Development), Software Engineering, Process Driven Development
Mixed · Course · 1 - 4 Weeks