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.

Microsoft
Skills you'll gain: Prompt Engineering, Excel Formulas, Microsoft Copilot, Microsoft Excel, Data Visualization, Data Analysis, Data Entry, Data Presentation, Spreadsheet Software, Data Manipulation, User Interface (UI)
Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Interviewing Skills, Recruitment, Oral Expression, Follow Through, Communication, Business Writing
Beginner · Guided Project · Less Than 2 Hours

University of Colorado Boulder
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Programming Principles, Computer Programming, Histogram, Functional Design, Package and Software Management, Data Import/Export, Scripting, Scripting Languages, Data Manipulation, Python Programming, Data Science, Data Structures, Software Engineering
Beginner · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Research Design, Statistical Analysis, Data Ethics, Statistical Modeling, Data Science, Data Analysis, Quantitative Research, Regression Analysis, Probability & Statistics, Linear Algebra, Calculus
Build toward a degree
Intermediate · Course · 1 - 4 Weeks

University of Toronto
Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Geospatial Information and Technology, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Typography, Data Manipulation, Data Storytelling, Data Modeling, Design Elements And Principles, Image Analysis
Beginner · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Data Ethics, Healthcare Ethics, Ethical Standards And Conduct, Responsible AI, Data Security, Data Science, Medical Privacy, Machine Learning Algorithms, Algorithms, Information Privacy, Artificial Intelligence, Diversity Awareness, Case Studies
Build toward a degree
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Performance Measurement, Search Engine Marketing, Content Performance Analysis, Data-Driven Decision-Making, Search Engine Optimization, Branding, Web Analytics and SEO, Business Metrics, Marketing Strategy and Techniques, Digital Marketing, Customer Engagement, Customer experience strategy (CX), Digital Advertising, Marketing, E-Commerce, Email Marketing, Brand Awareness, Marketing Analytics, Social Media Marketing
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Generative AI, A/B Testing, Generative AI Agents, Content Creation, Text Mining
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Visualization
Beginner · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Large Language Modeling, Responsible AI, AI Personalization, Mobile Development, AI Security, Anthropic Claude, Artificial Intelligence, Software Development Tools, Software Testing, Apple iOS, AI Product Strategy, Test Automation, Software Development, DevSecOps, Prototyping, Artificial Intelligence and Machine Learning (AI/ML)
Advanced · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Project Management Life Cycle, Data Quality, Model Deployment, Data Preprocessing, Technical Management, Applied Machine Learning, Project Management, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Data Cleansing, Model Evaluation, Market Opportunities, Data Pipelines, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science
Beginner · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning
Beginner · Course · 1 - 4 Weeks