Scientific Computing Courses
Scientific computing courses can help you learn numerical methods, data analysis, algorithm development, and simulation techniques. You can build skills in programming languages like Python and R, as well as mathematical modeling and statistical analysis. Many courses introduce tools such as MATLAB, NumPy, and SciPy, that support implementing algorithms and processing large datasets effectively.
Popular Scientific Computing Courses and Certifications
Status: NewStatus: PreviewUniversity of Colorado Boulder
Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Big Data, Operating Systems, Performance Tuning, File Systems, Linux, Scripting, Command-Line Interface, OS Process Management, Artificial Intelligence
Status: FreePrinceton University
Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java Programming, Java, Computational Thinking, Computer Science, Algorithms, Animations, Debugging
Status: PreviewÉcole Polytechnique
Skills you'll gain: Peer Review, Journals, Scientific Methods, Research, Research Design, Proofreading, Research Methodologies, Editing, Ethical Standards And Conduct, Data Management
Status: Free TrialJohns Hopkins University
Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, Scalability, Deep Learning, Software Development, C++ (Programming Language), Machine Learning Methods, Performance Tuning, C and C++, Linear Algebra, Distributed Computing, Computer Graphics, System Programming, Hardware Architecture, Computer Vision, Programming Principles, OS Process Management, Data Structures, Machine Learning
Status: NewSkills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Applied Machine Learning, Unstructured Data
What brings you to Coursera today?
Status: Free TrialJohns Hopkins University
Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Algebra, Cost Estimation, Mathematical Software, Engineering Calculations, Linear Algebra, Trigonometry, Operations Research, Data Analysis, Derivatives, Mathematical Theory & Analysis, Geometry
Status: Free TrialJohns Hopkins University
Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Mathematical Modeling, Data Analysis, Linear Algebra, Probability, Geometry, Applied Mathematics, Visualization (Computer Graphics), Mechanics, Engineering Calculations, Graphing, Spatial Data Analysis, Physics
Status: Free TrialSkills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Hosting, Cloud Engineering, Cloud Computing, Cloud Solutions, Cloud Development, Cloud Storage, Emerging Technologies, Cloud-Native Computing, Cloud Management, Hybrid Cloud Computing, IBM Cloud, Virtual Machines, Serverless Computing, Technical Services, DevOps
Status: Free TrialLearnQuest
Skills you'll gain: Feature Engineering, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, NumPy, Classification And Regression Tree (CART), Tensorflow, Machine Learning, Predictive Modeling, Data Science
Status: Free TrialUniversity of London
Skills you'll gain: Computer Science, Debugging, Development Environment, Computer Systems, Web Applications, Arithmetic, Computer Literacy, Javascript, Network Security, Computer Networking, Program Development, Computer Graphics, Web Design and Development, Cybersecurity, Computer Programming, Problem Management, Computational Thinking, General Mathematics, Systems Of Measurement, Problem Solving
Status: Free TrialVanderbilt University
Skills you'll gain: Prompt Engineering, Image Analysis, Data Visualization Software, Matlab, Algorithms, Machine Learning Methods, User Interface (UI), Applied Machine Learning, ChatGPT, Scatter Plots, Object Oriented Programming (OOP), Dimensionality Reduction, Classification And Regression Tree (CART), Computer Programming, Histogram, AI Personalization, Data Processing, Data Analysis, Programming Principles, Debugging
Searches related to scientific computing
In summary, here are 10 of our most popular scientific computing courses
- Introduction to Python for Scientific Computing: University of Colorado Boulder
- Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
- Computer Science: Programming with a Purpose: Princeton University
- How to Write and Publish a Scientific Paper (Project-Centered Course): École Polytechnique
- GPU Programming: Johns Hopkins University
- Skill Up with Python: Data Science and Machine Learning Recipes: Pearson
- Differential Calculus through Data and Modeling: Johns Hopkins University
- Integral Calculus through Data and Modeling: Johns Hopkins University
- Introduction to Cloud Computing: IBM
- AI for Scientific Research: LearnQuest
