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: NewStatus: Free TrialSkills you'll gain: Data Validation, Object Oriented Programming (OOP), Customer Data Management, Business Logic, Financial Data, User Interface (UI), Program Development, Real Time Data, Command-Line Interface, Scripting, Application Development, Python Programming
Status: Free Trial
Status: PreviewJohns Hopkins University
Skills you'll gain: Rmarkdown, Data Science, R (Software), GitHub, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Management
Status: Free TrialSkills you'll gain: Swift Programming, Apple Xcode, Apple iOS, iOS Development, Apple software proficiency, Application Development, Mobile Development, Object Oriented Programming (OOP), Programming Principles, Development Environment, Integrated Development Environments, Data Structures, Computer Programming
Coursera
Skills you'll gain: Data Cleansing, Data Manipulation, Data Integration, R Programming, Tidyverse (R Package), Data Transformation, Data Management
Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Predictive Modeling, Data Processing, Statistical Modeling, R Programming, Supervised Learning, Machine Learning Algorithms, Machine Learning
Status: Free TrialUniversity of Michigan
Skills you'll gain: Debugging, Unit Testing, Integrated Development Environments, Development Testing, Technical Communication, Python Programming, File Management
Status: PreviewBoard Infinity
Skills you'll gain: Vue.JS, Application Deployment, JavaScript Frameworks, Application Design, User Interface (UI), Application Development, Web Analytics and SEO, Android Development, Development Environment, Server Side, Performance Tuning
Status: NewStatus: Free TrialSkills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation
Status: Free TrialSkills you'll gain: SAS (Software), Forecasting, Time Series Analysis and Forecasting, Statistical Methods, Predictive Modeling, Automation, Anomaly Detection, Data Processing, Data Transformation, Object Oriented Programming (OOP)
Status: Free TrialSkills you'll gain: Plotly, Dashboard, Data Analysis, Interactive Data Visualization, Jupyter, HTML and CSS, UI Components, Data Visualization Software, Real Time Data, Pandas (Python Package), Python Programming
Status: FreeUniversidad de los Andes
Skills you'll gain: TypeScript, Javascript, Scripting Languages, Data Structures, Web Development Tools, Object Oriented Programming (OOP), Programming Principles, Functional Design
Searches related to parallel programming
In summary, here are 10 of our most popular parallel programming courses
- Python Case Study - Customer Brokerage Management System: EDUCBA
- Advanced Data Handling and Reactive Programming Concepts: Edureka
- 데이터 과학자의 도구 상자: Johns Hopkins University
- Foundations of Swift and SwiftUI: Packt
- Joining Data in R using dplyr: Coursera
- Decision Tree Classifier for Beginners in R: Coursera
- Debugging: Hunting and Squashing Bugs: University of Michigan
- Fundamentals of NuxtJS: Board Infinity
- Data Science Fundamentals Part 1: Unit 1: Pearson
- Building a Large-Scale, Automated Forecasting System: SAS
