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.

Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Power BI, Databricks, Data Processing, Database Administration, Data Warehousing, Database Systems, Databases, Cloud Services, Data Architecture, NoSQL, Relational Databases, MySQL, Data Store, SQL, Database Management, Data Storage, Data Lakes, Cloud Storage
Beginner · Specialization · 3 - 6 Months

University of Michigan
Skills you'll gain: Finite Element Methods, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, C++ (Programming Language), Object Oriented Programming (OOP)
Intermediate · Course · 3 - 6 Months

McMaster University
Skills you'll gain: Experimentation, Data Visualization, Predictive Modeling, Pareto Chart, Process Improvement and Optimization, Simulation and Simulation Software, Process Optimization, Statistical Software, R Programming, Data Analysis, Statistical Analysis, R (Software), Case Studies
Intermediate · Course · 1 - 3 Months

University of Amsterdam
Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Logistic Regression, R Programming
Mixed · Course · 1 - 3 Months

Peking University
Skills you'll gain: C++ (Programming Language), File I/O, Object Oriented Programming (OOP), Computer Programming, Programming Principles, C (Programming Language), Software Design, Algorithms, Data Structures
Mixed · Course · 1 - 3 Months

LearnQuest
Skills you'll gain: Spring Framework, Microservices, JUnit, Model View Controller, Restful API, Spring Boot, Software Architecture, API Gateway, Web Services, Object-Relational Mapping, Transaction Processing, Data Persistence, Service Oriented Architecture, Cloud Computing Architecture, JSON, YAML, Load Balancing, Unit Testing, Java Programming, Enterprise Application Management
Beginner · Specialization · 1 - 3 Months

University of Colorado System
Skills you'll gain: Computational Thinking, Data Collection, Microsoft Visual Studio, Program Development, C (Programming Language), Programming Principles, Algorithms, Data Storage, Computer Programming
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Programming Principles, Computer Programming, Histogram, Functional Design, Package and Software Management, Data Import/Export, Scripting, Scripting Languages, Data Manipulation, Python Programming, Data Science, Data Structures, Software Engineering
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Embedded Software, Unified Modeling Language, Embedded Systems, Internet Of Things, Software Development Life Cycle, Systems Architecture, Systems Design, Technical Design, Systems Engineering, Real-Time Operating Systems, Prototyping, Requirements Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Kotlin, Object Oriented Programming (OOP), Programming Principles, Android Development, Data Structures, Computer Programming, Mobile Development, Integrated Development Environments, Debugging
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Hypothesis Testing, Data Analysis, Advanced Analytics, Statistical Analysis, Correlation Analysis, Analytical Skills, Business Analytics, Statistical Modeling, Model Evaluation, Variance Analysis, Predictive Modeling, Machine Learning, Python Programming
Advanced · Course · 1 - 3 Months

Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric
Intermediate · Course · 1 - 3 Months