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.

Coursera
Skills you'll gain: Generative AI, AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Creative Problem-Solving, HR Tech, Marketing, Information Privacy, Critical Thinking
Beginner · Course · 1 - 4 Weeks
University of Pennsylvania
Skills you'll gain: Branding, Marketing, Strategic Marketing, Go To Market Strategy, Marketing Strategy and Techniques, Brand Management, Customer Insights, Target Market, Customer experience strategy (CX), Marketing Communications, Marketing Analytics, Consumer Behaviour
Mixed · Course · 1 - 3 Months

Skills you'll gain: Angular, Command-Line Interface
Beginner · Course · 3 - 6 Months

Skills you'll gain: Statistical Modeling, Data Validation, Media Planning, Variance Analysis, Regression Analysis, Predictive Analytics, Predictive Modeling, Web Analytics, Forecasting, Trend Analysis, Marketing Analytics, Time Series Analysis and Forecasting, Marketing Budgets, Analytics, Data-Driven Decision-Making, Data Quality, Advertising Campaigns
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, Data Presentation, Data Ethics, Data Storytelling, Data Visualization, Data Cleansing, Stakeholder Communications, Analytical Skills, Data-Driven Decision-Making, Interactive Data Visualization, Data Visualization Software, Data Validation, Dashboard, Ggplot2, Interviewing Skills, Case Studies, Data Access, Spreadsheet Software, Data Analysis, Data Manipulation
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Verification And Validation, Software Quality Assurance, Software Quality (SQA/SQC), Debugging, Maintainability, Regression Testing, Quality Assurance, Data Quality, Issue Tracking, Root Cause Analysis, Business Intelligence, Jira (Software)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MySQL Workbench, Data-Driven Decision-Making, Exploratory Data Analysis, MySQL, Business Analytics, Data Analysis, Database Design, SQL, Analytical Skills, Data Presentation, Technical Communication, Relational Databases
Intermediate · Guided Project · Less Than 2 Hours

Kennesaw State University
Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Statistical Hypothesis Testing, Statistical Analysis, Analysis, Statistical Inference, Process Analysis, Correlation Analysis, Data Analysis, Probability & Statistics, Risk Analysis, Regression Analysis, Sample Size Determination, Sampling (Statistics)
Mixed · Course · 1 - 3 Months

Skills you'll gain: AutoCAD Civil 3D, Autodesk Revit, Autodesk, Grading (Landscape), AutoCAD, Stormwater Management, Engineering Plans And Specifications, Engineering Analysis, Design, Visualization (Computer Graphics), Coordination, Design and Product, Data Management
Beginner · Course · 3 - 6 Months

Microsoft
Skills you'll gain: Debugging, Event-Driven Programming, Version Control, Application Deployment, Microsoft Copilot, C# (Programming Language), Git (Version Control System), Object Oriented Programming (OOP), Software Design Patterns, Software Architecture, .NET Framework, Microsoft Visual Studio, Software Design, Software Testing, Application Development, Program Development, Data Validation, Microsoft Development Tools, Security Testing, Software Development Tools
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Graph Theory, Data Structures, Algorithms, Program Development, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Python Programming
Intermediate · Course · 1 - 3 Months

Universidad Nacional Autónoma de México
Skills you'll gain: Supervised Learning, Applied Machine Learning, Unsupervised Learning, Bayesian Network, Machine Learning Methods, Computational Logic, Program Development, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Markov Model, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Computational Thinking, Creativity, Game Theory, Theoretical Computer Science, Software Development, Generative AI, Social Sciences
Intermediate · Specialization · 3 - 6 Months