Computational Science Courses
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.
Popular Computational Science Courses and Certifications
University of California San Diego
Skills you'll gain: Algorithms, Programming Principles, Computational Thinking, Program Development, Computer Programming, Code Review, Software Documentation
Northeastern University
Skills you'll gain: Data Storytelling, Data Presentation, Plotly, Statistical Visualization, Interactive Data Visualization, Matplotlib, Data Visualization Software, Network Analysis, Plot (Graphics), Seaborn, Data-Driven Decision-Making, Network Model, Data Mining, Scatter Plots, R Programming, R (Software), Graphing, Graph Theory, Box Plots, Heat Maps
University of Colorado System
Skills you'll gain: Computational Thinking, Data Analysis, C and C++, C (Programming Language), Statistical Analysis, Data Presentation, Programming Principles, Computer Programming, Descriptive Statistics, Histogram, Graphing
University of California San Diego
Skills you'll gain: Debugging, Computer Programming Tools, Digital pedagogy, Program Development, Computational Logic, Education Software and Technology, Computational Thinking, Programming Principles, Computer Programming, Theoretical Computer Science, Game Design
Multiple educators
Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Data Analysis, R (Software), Data Presentation, Correlation Analysis, Pandas (Python Package), NumPy, Predictive Modeling, Python Programming, Machine Learning Algorithms, Data Science, Machine Learning, Project Management
Johns Hopkins University
Skills you'll gain: R Programming, Statistical Analysis, Statistical Methods, Combinatorics, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Bayesian Statistics, Data Science, Simulations
Dartmouth College
Skills you'll gain: Environment, Environmental Issue, Environmental Science, Environment and Resource Management, Sustainable Development, Biology, Hydrology, Life Sciences, Climate Change Programs, Water Quality, Pollution Prevention, Physical Science, Systems Thinking, Energy and Utilities, Chemistry
Johns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, grep, Biostatistics, R (Software), Exploratory Data Analysis, Statistical Analysis, Unix Shell, Unix, Data Science, Data Management, Statistical Methods, Information Management, Command-Line Interface, Statistical Hypothesis Testing, Data Structures, Big Data, Molecular Biology, R Programming, Python Programming
Skills you'll gain: Laboratory Procedures, Laboratory Testing, Chemistry, Safety Standards, Product Design, Regulatory Compliance, Mathematical Modeling, Product Testing, Design Specifications, Materials science, Personal protective equipment, Record Keeping, Quality Assurance, Product Development, Technical Documentation, Performance Testing
Skills you'll gain: Simulation and Simulation Software, Engineering Analysis, Thermal Management, Hydraulics, Mechanical Engineering, Simulations, Numerical Analysis, Engineering Calculations, Energy and Utilities, Mathematical Modeling, Differential Equations, Model Optimization, Physics
Skills you'll gain: Simulation and Simulation Software, Engineering Analysis, Finite Element Methods, Simulations, Engineering, Computer-Aided Design, Cloud Technologies, Engineering Design Process, Cloud Computing
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, R (Software), Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning, GitHub
In summary, here are 10 of our most popular computational science courses
- Computational Thinking for K-12 Educators Capstone: University of California San Diego
- Computation and Visualization for Analytics Part 2: Northeastern University
- Data Analysis and Representation, Selection and Iteration: University of Colorado System
- Computational Thinking for K-12 Educators: Nested If Statements and Compound Conditionals : University of California San Diego
- Data Science Foundations: IBM
- Foundations of Probability and Random Variables: Johns Hopkins University
- Environmental Science: Dartmouth College
- Genomic Data Science: Johns Hopkins University
- Cosmetic Formulation Science: Olay
- Applied Computational Fluid Dynamics: Siemens
