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  • Scientific Computing

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


  • J

    Johns Hopkins University

    Differential Calculus through Data and Modeling

    Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Model Optimization, Estimation, Graphing, Mathematical Modeling, Data Analysis Software, Algebra, Cost Estimation, Mathematical Software, Linear Algebra, Trigonometry, General Mathematics, Advanced Mathematics, Analysis, Derivatives, Mathematical Theory & Analysis, Geometry, Data Analysis

    ★ 4.8 (390) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • L

    LearnQuest

    AI for Scientific Research

    Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, 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, Model Optimization, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, Model Training, Machine Learning, Data Science

    ★ 3.3 (102) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Pittsburgh

    Cloud Computing for Data Science

    Skills you'll gain: Apache Hadoop, Cloud Computing, Cloud Deployment, Apache Spark, Web Services, Cloud Technologies, Cloud Services, Virtualization and Virtual Machines, Cloud Computing Architecture, PySpark, Cloud Infrastructure, Cloud Development, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture

    Intermediate · Specialization · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Colorado Boulder

    High-Performance and Parallel Computing

    Skills you'll gain: Hardware Architecture, Microarchitecture, Bash (Scripting Language), Distributed Computing, Scalability, Memory Management, Shell Script, Computer Systems, Big Data, Linux Commands, Operating Systems, File Systems, Performance Testing, Cloud Development, C and C++, Linux, Computing Platforms, Data Import/Export, C++ (Programming Language), Communication Systems

    ★ 3.8 (179) · Advanced · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Illinois Urbana-Champaign

    Cloud Computing

    Skills you'll gain: Distributed Computing, Cloud Infrastructure, Cloud Services, Big Data, Cloud Technologies, Apache Spark, Cloud Computing, Cloud Storage, Virtual Networking, Cloud Platforms, Cloud Solutions, Network Architecture, Cloud Computing Architecture, Computer Networking, File Systems, Apache Hadoop, Cloud Applications, Cloud Development, Software-Defined Networking, Data Store

    ★ 4.3 (2.1K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Intro to NumPy

    Skills you'll gain: NumPy, Scientific Visualization, Jupyter, Time Series Analysis and Forecasting, Graphing, Data Visualization Software, Data Structures, Python Programming, Numerical Analysis, Data Manipulation, Software Installation

    Beginner · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    Data-Oriented Python Programming and Debugging

    Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Correlation Analysis, Data Analysis, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Data Wrangling, Data Preprocessing, LLM Application, Data-oriented programming, Code Reusability, Data Transformation, Numerical Analysis, Critical Thinking, Functional Design

    ★ 4.3 (18) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Social Computing

    Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Social Media Analytics, Graph Theory, Machine Learning Methods, R (Software), Machine Learning, Machine Learning Software, Model Training, Machine Learning Algorithms, Model Optimization, Model Evaluation, Social Sciences, Statistical Analysis, Amazon Web Services, Tensorflow, Data Ethics, Large Language Modeling, Applied Machine Learning

    ★ 4.4 (15) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    NumPy and Pandas Basics for Future Data Scientists

    Skills you'll gain: Debugging, Data Wrangling, Data Analysis, Data Transformation, Data Preprocessing, Numerical Analysis, Critical Thinking

    ★ 4.2 (13) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Duke University

    Cloud Computing Foundations

    Skills you'll gain: Technical Communication, Cloud Infrastructure, Cloud Technologies, Cloud Services, Cloud Hosting, CI/CD, Cloud Computing, Azure DevOps Pipelines, Agile Software Development, Cloud Development, DevOps, Technical Documentation, Infrastructure As A Service (IaaS), Cloud Platforms, Continuous Delivery, Infrastructure as Code (IaC), Serverless Computing, Continuous Integration, Agile Project Management, GitHub

    ★ 4.5 (293) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • M

    Microsoft

    Introduction to Networking and Cloud Computing

    Skills you'll gain: Network Security, Cloud Computing, Virtualization, Cloud Infrastructure, Network Infrastructure, Microsoft Azure, Cloud Services, Firewall, General Networking, Computer Networking, TCP/IP, Digital Transformation, Networking Hardware, Cybersecurity, Network Architecture, Network Protocols, Virtual Machines, Network Monitoring, Artificial Intelligence and Machine Learning (AI/ML)

    ★ 4.8 (563) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Foundations of Data Structures and Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Quantum computing, Public Key Cryptography Standards (PKCS), Cryptography, Computational Thinking, Design Strategies, Cryptographic Protocols, Tree Maps, Encryption, Network Model, Combinatorics, Data Science, Computer Science, Mathematical Modeling, Mathematical Software, Python Programming

    ★ 4.7 (957) · Advanced · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
1234…491

In summary, here are 10 of our most popular scientific computing courses

  • Differential Calculus through Data and Modeling: Johns Hopkins University
  • AI for Scientific Research: LearnQuest
  • Cloud Computing for Data Science: University of Pittsburgh
  • High-Performance and Parallel Computing: University of Colorado Boulder
  • Cloud Computing: University of Illinois Urbana-Champaign
  • Intro to NumPy: Packt
  • Data-Oriented Python Programming and Debugging: University of Michigan
  • Social Computing: Johns Hopkins University
  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
  • Cloud Computing Foundations: Duke University

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