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.

Arizona State University
Skills you'll gain: Materials science, Failure Analysis, Semiconductors, Manufacturing Processes, Chemical Engineering, Structural Analysis, Mechanical Engineering, Chemistry, Thermal Management, Engineering, Laboratory Testing, Physical Science, Physics, Engineering Calculations, Engineering Analysis, Reliability
Beginner · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science
Beginner · Specialization · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Data Science, Model Evaluation, Statistical Machine Learning, Dimensionality Reduction, Statistical Modeling, Statistical Analysis, Sampling (Statistics), Statistical Methods, Regression Analysis, Machine Learning Methods, Statistics, Predictive Modeling, Applied Mathematics, Logistic Regression, Probability Distribution
Build toward a degree
Intermediate · Course · 1 - 3 Months

University of Leeds
Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Software Installation, Data Structures, Data Science
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Structures, Algorithms, Software Visualization, Pseudocode, Programming Principles, Computational Thinking, Theoretical Computer Science, Computer Science, Technical Communication, Communication
Intermediate · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Materials science, Chemical Engineering, Chemistry, Engineering, Mechanical Engineering, Physical Science, Physics, Semiconductors
Beginner · Course · 1 - 3 Months

The University of Edinburgh
Skills you'll gain: Game Design, Software Engineering, Programming Principles, Software Development, Software Design, Computer Programming, Computational Thinking, Debugging, Algorithms
Beginner · Course · 1 - 3 Months

The University of North Carolina at Chapel Hill
Skills you'll gain: Epidemiology, Public Health, Infectious Diseases, Research Design, Community Health, Health Policy, Research Methodologies, Social Determinants Of Health, Science and Research, Statistical Analysis, Chronic Diseases
Mixed · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: HTML and CSS, Cascading Style Sheets (CSS), Ajax, Javascript, Responsive Web Design, Front-End Web Development, Web Design, Bootstrap (Front-End Framework), Web Development, Development Environment, Web Development Tools, Web Design and Development, JSON, Web Applications, Web Content Accessibility Guidelines, Scripting, Browser Compatibility, Hypertext Markup Language (HTML), Object Oriented Programming (OOP), Event-Driven Programming
Beginner · Specialization · 1 - 3 Months
Duke University
Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Web Scraping, Ggplot2, Model Evaluation, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Regression Analysis, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control
Beginner · Specialization · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Public Key Cryptography Standards (PKCS), Cryptography, Programming Principles, Computational Thinking, Pseudocode, Design Strategies, Computer Science, Tree Maps, Encryption, Linear Algebra, Combinatorics, Data Science, Mathematical Modeling, Advanced Mathematics, Python Programming
Build toward a degree
Advanced · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Microsoft Office, Data Entry, Microsoft 365
Intermediate · Guided Project · Less Than 2 Hours