Parallel Programming Courses
Parallel programming courses can help you learn multithreading, synchronization, and performance optimization techniques. You can build skills in designing algorithms that efficiently utilize multiple processors and managing shared resources. Many courses introduce tools like OpenMP, MPI, and CUDA, that support implementing parallel computing solutions in various applications, from scientific simulations to data processing tasks.
Popular Parallel Programming Courses and Certifications
Status: Free TrialUniversity 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
Status: PreviewEDUCBA
Skills you'll gain: Software Installation, Application Development, Command-Line Interface
Status: PreviewUniversity of London
Skills you'll gain: Hypertext Markup Language (HTML), Responsive Web Design, Web Design, Bootstrap (Front-End Framework), Web Development, Front-End Web Development, Cascading Style Sheets (CSS), Javascript, Development Environment
Status: PreviewÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Software Design Patterns, Object Oriented Programming (OOP), Software Design, Object Oriented Design, Java, Program Development, Graphical Tools, Simulations, Integrated Development Environments, Algorithms
Status: Free TrialDuke University
Skills you'll gain: Matplotlib, Data Visualization, Predictive Modeling, Pandas (Python Package), Data Visualization Software, Predictive Analytics, Regression Analysis, Data Analysis, Data Cleansing, Data Science, Machine Learning Algorithms, Statistical Inference, Statistical Modeling, Probability & Statistics, Classification Algorithms, Python Programming
Status: Free TrialUniversidad Nacional Autónoma de México
Skills you'll gain: Algorithms, Computational Thinking, Theoretical Computer Science, Problem Management, Data Structures, Performance Testing, Python Programming
Status: Free TrialJohns Hopkins University
Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model
Status: PreviewIcahn School of Medicine at Mount Sinai
Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Integration, Unsupervised Learning, Data Processing, Data Analysis, Metadata Management, Application Programming Interface (API), Restful API
Status: Free TrialSkills you'll gain: Node.JS, Restful API, Database Design, Database Application, Databases, NoSQL, MongoDB, Back-End Web Development, Performance Tuning, API Design, Cloud Applications, Authentications, Server Side, Middleware, Scalability, Application Deployment, Web Applications, Web Development, Debugging, Javascript
Status: PreviewBoard Infinity
Skills you'll gain: Responsible AI, LLM Application, Model Evaluation, Scripting, Debugging
Status: Free TrialUniversity of Colorado System
Skills you'll gain: Extract, Transform, Load, Data Modeling, Clinical Data Management, Database Design, Data Warehousing, Data Quality, Data Transformation, Data Integration, Health Informatics, Relational Databases, SQL
Skills you'll gain: Software Design Patterns, Software Design, C++ (Programming Language), Software Architecture, Programming Principles, Object Oriented Programming (OOP), Maintainability, Prototyping, Database Application
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In summary, here are 10 of our most popular parallel programming courses
- Computational Thinking for K-12 Educators: Nested If Statements and Compound Conditionals : University of California San Diego
- PyCharm Course: EDUCBA
- أساسيات مواقع الويب سريعة الاستجابة: البرمجة باستخدام HTML وCSS وJavaScript: University of London
- Projet de programmation (en Java): École Polytechnique Fédérale de Lausanne
- Data Visualization and Modeling in Python: Duke University
- Resolución de problemas por búsqueda: Universidad Nacional Autónoma de México
- Statistical Methods for Computer Science: Johns Hopkins University
- Big Data Science with the BD2K-LINCS Data Coordination and Integration Center: Icahn School of Medicine at Mount Sinai
- Node.js & MongoDB: Developing Back-end Database Applications: IBM
- Generative AI: Prompt Engineering Basics: Board Infinity
