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.

Dartmouth College
Skills you'll gain: Bayesian Network, Artificial Neural Networks, Convolutional Neural Networks, Deep Learning, Tensorflow, Machine Learning, Model Evaluation, Network Architecture, Algorithms, Probability Distribution
Build toward a degree
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Financial Analysis, Capital Expenditure, Return On Investment, Business Strategy, Data-Driven Decision-Making, Capital Budgeting, Financial Modeling, Financial Statements, Corporate Finance, Risk Analysis, Presentations
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Seaborn, Plotly, Data Visualization, Data Visualization Software, Interactive Data Visualization, Data Analysis, Python Programming, Predictive Modeling, Data Science, Jupyter, Cloud Applications
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: C and C++, Object Oriented Programming (OOP), C++ (Programming Language), Data Validation, Object Oriented Design, Computer Programming, Programming Principles, Computer Science
Intermediate · Course · 1 - 4 Weeks

University of Toronto
Skills you'll gain: ArcGIS, Spatial Data Analysis, Geographic Information Systems, Spatial Analysis, Geospatial Mapping, Data Mapping, Global Positioning Systems, Data Capture
Beginner · Course · 1 - 3 Months

Skills you'll gain: Microsoft Excel, Excel Formulas, Pivot Tables And Charts, Spreadsheet Software, Data Analysis Expressions (DAX), Financial Forecasting, Financial Modeling, Financial Analysis, Business Analysis, Data-Driven Decision-Making, Data Manipulation
Beginner · Course · 1 - 4 Weeks

IESE Business School
Skills you'll gain: Value Propositions, Financial Statements, Marketing, Financial Statement Analysis, Branding, Leadership Development, Business Analytics, Marketing Strategies, Income Statement, Business Analysis, Strategic Marketing, Intercultural Competence, Financial Analysis, Accounting, Conflict Management, Financial Management, Financial Acumen, Financial Data, Leadership, Finance
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: ASP.NET, JavaScript Frameworks, Application Programming Interface (API), Web Applications, Full-Stack Web Development, Restful API, .NET Framework, UI Components, Back-End Web Development, Object-Relational Mapping, Application Frameworks, Model View Controller, User Interface (UI), Data Modeling, Data Validation
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Prioritization, Jira (Software), Organizational Skills, Decision Making, Backlogs, Project Management Software, Timelines, Dashboard, Query Languages, Project Management, Resource Management
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Sales Strategy, Web Analytics, Search Engine Optimization, Copywriting, Customer Insights, Keyword Research, Revenue Management
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Verification And Validation, Electronic Systems, Embedded Systems, Electronics Engineering, Application Specific Integrated Circuits, Electronic Hardware, Electronics, Systems Design, Software Design, Program Development, Integrated Development Environments, System Design and Implementation, Computer Architecture, Eclipse (Software), Computational Logic, Hardware Architecture, Software Development, Computer Engineering
Build toward a degree
Intermediate · Specialization · 3 - 6 Months

Microsoft
Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Microsoft Azure, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Model Evaluation, Tensorflow, Data Pipelines, Prototyping, Image Quality, Time Series Analysis and Forecasting, Forecasting
Intermediate · Course · 1 - 4 Weeks