Computational Science courses can help you learn numerical analysis, simulation techniques, and data visualization. You can build skills in algorithm development, statistical modeling, and high-performance computing. Many courses introduce tools like Python, MATLAB, and R, that support implementing simulations and analyzing large datasets. You'll also explore key topics such as parallel computing, machine learning applications, and optimization methods, allowing you to tackle complex scientific problems and enhance your analytical capabilities.

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

University of California San Diego
Skills you'll gain: Debugging, Computer Programming Tools, Digital pedagogy, Education Software and Technology, Computational Thinking, Programming Principles, Computer Programming, Computer Science, Game Design
Beginner · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: Data Preprocessing, Applied Machine Learning, Dimensionality Reduction, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming
Intermediate · Course · 1 - 4 Weeks
University of Glasgow
Skills you'll gain: Application Deployment, Application Development, Code Review, Software Development, Prototyping, Web Applications, JavaScript Frameworks, Software Engineering, Javascript, Computational Thinking, Version Control, Programming Principles, Program Management
Beginner · Course · 1 - 4 Weeks

Multiple educators
Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Presentation, Correlation Analysis, Web Scraping, NumPy, Data Import/Export, Probability & Statistics, Programming Principles, Predictive Modeling, Computer Programming Tools, Data Science, Unsupervised Learning, Machine Learning, Project Management
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Simulations
Intermediate · Course · 1 - 3 Months

Dartmouth College
Skills you'll gain: Environment, Environmental Issue, Environmental Science, Sustainable Development, Biology, Hydrology, Water Quality, Systems Thinking, Water Resource Management, Energy and Utilities, Physics, Climate Change Mitigation, Chemistry
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Data Quality, Data Structures, Data Analysis, Computer Science, Molecular Biology, R Programming, Python Programming
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Laboratory Experience, Laboratory Equipment, Laboratory Procedures, Design Specifications, Chemistry, Safety Standards, Materials science, Product Testing, Personal protective equipment, Record Keeping, Product Development, Systems Of Measurement, Innovation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Engineering Analysis, Thermal Management, Mechanical Engineering, Simulations, Numerical Analysis, Engineering Calculations, Mathematical Modeling, Chemical Engineering, Scientific Visualization, Physics
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Simulation and Simulation Software, Engineering Analysis, Engineering, Prototyping, Computer-Aided Design, Cloud Computing
Beginner · Guided Project · Less Than 2 Hours
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub
Beginner · Specialization · 3 - 6 Months