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.

Microsoft
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), System Testing, Test Case, Health Informatics, Health Technology, Performance Testing, Business Logic, Serverless Computing, Data Security
Intermediate · Course · 1 - 4 Weeks

Caltech
Skills you'll gain: Physical Science, Physics, General Science and Research, Mechanics, Spatial Analysis, Mathematical Modeling
Mixed · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Graph Theory, Algorithms, Network Routing, Social Network Analysis, Data Structures, Network Analysis, Network Model, Computer Programming
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Google Gemini, Google Workspace, Generative AI, Google Cloud Platform, Productivity Software, Prompt Engineering, Enterprise Security, Document Management, Information Management
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Statistical Methods
Intermediate · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking
Advanced · Course · 1 - 3 Months
University of Washington
Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Databases, Data Science, Data Manipulation, Data Processing, NoSQL, Apache Spark, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Python Programming, Algorithms
Mixed · Course · 1 - 3 Months

Skills you'll gain: iOS Development, Apple iOS, Apple Xcode, User Interface (UI), Mobile Development, Swift Programming, Unit Testing, User Interface (UI) Design, UI Components, Mobile Development Tools, Objective-C (Programming Language), Application Development, Data Structures, Programming Principles, Test Case, Software Testing, Object Oriented Programming (OOP), Integrated Development Environments, Development Environment, Prototyping
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: 3D Modeling, 3D Assets, Computer Graphics, Visualization (Computer Graphics), File Management, Graphical Tools
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Embedded Software, Embedded Systems, System Programming, Cross Platform Development, Hardware Architecture, Peripheral Devices, Serial Peripheral Interface, Performance Tuning, Software Design, Real Time Data, Technical Design, C (Programming Language), Debugging, System Configuration, Maintainability, Scalability, Data Mapping
Advanced · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, LLM Application, Generative AI, Performance Analysis, Apache Airflow, Workflow Management, Amazon Bedrock, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, Multimodal Prompts, MLOps (Machine Learning Operations), AWS SageMaker, Performance Tuning, Scalability, Database Management Systems, Generative Model Architectures
Beginner · Specialization · 3 - 6 Months