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Scientific Computing Courses Online

Learn scientific computing for data analysis and simulations. Understand algorithms, numerical methods, and programming for scientific applications.

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Explore the Scientific Computing Course Catalog

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Materials Data Sciences and Informatics

    Skills you'll gain: Materials science, Informatics, Data Science, Data Mining, Data Integration, Data-Driven Decision-Making, Data Processing, Systems Design, Engineering Analysis, Big Data, Structural Analysis, Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    349 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Science with NumPy, Sets, and Dictionaries

    Skills you'll gain: NumPy, Data Structures, Data Analysis, Object Oriented Programming (OOP), Image Analysis, Data Science, Data Wrangling, Data Manipulation, Big Data, Performance Tuning, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Data Structures and Algorithms

    Skills you'll gain: Algorithms, Data Structures, Graph Theory, Operations Research, Theoretical Computer Science, Public Key Cryptography Standards (PKCS), Computer Programming, Computational Thinking, Cryptography, Computer Science, Programming Principles, Pseudocode, Applied Mathematics, Tree Maps, Encryption, Python Programming, Combinatorics, Advanced Mathematics, Analysis, Mathematical Modeling

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    869 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Evolutionary Computation and its Applications

    Skills you'll gain: Engineering Practices, Engineering Calculations, Engineering Analysis, Engineering, Applied Mathematics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Abstraction, Problem Decomposition, and Functions

    Skills you'll gain: Computational Thinking, C (Programming Language), Data Structures, Programming Principles, Computer Programming, Data Store, Problem Management, Program Development, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    37 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Image Processing for Engineering and Science

    Skills you'll gain: Image Analysis, Image Quality, Matlab, Computer Vision, Automation, Anomaly Detection, Spatial Data Analysis, Data Processing, Engineering Practices, Water Sustainability, Medical Imaging, Spatial Analysis, Data Manipulation, Exploratory Data Analysis, Histogram, Quantitative Research, Data Analysis Software, Analysis, Data Import/Export, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    229 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C and Go: Classical and Modern Programming

    Skills you'll gain: Go (Programming Language), Debugging, C (Programming Language), Data Structures, C and C++, C++ (Programming Language), Object Oriented Programming (OOP), Computer Programming, Code Review, Unit Testing, Command-Line Interface, Data-oriented programming, Integrated Development Environments, Computer Science, Algorithms, File Systems, Computational Thinking, Software Technical Review, Integration Testing, Software Design

    4.5
    Rating, 4.5 out of 5 stars
    ·
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modeling Climate Anomalies with Statistical Analysis

    Skills you'll gain: Matplotlib, Pandas (Python Package), Statistical Analysis, Data Visualization, Data Analysis, NumPy, Statistical Modeling, Time Series Analysis and Forecasting, Regression Analysis, Data Integration, Data Manipulation, Data Collection, Application Programming Interface (API)

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Algorithms, Data Collection, and Starting to Code

    Skills you'll gain: Computational Thinking, Data Collection, Microsoft Visual Studio, Program Development, C (Programming Language), Programming Principles, Algorithms, Data Storage, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    377 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Applied Mathematics, Statistical Modeling, Mathematical Software, Supervised Learning, Algebra, Data Visualization Software, Jupyter, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Siemens

    Angewandte numerische Fluiddynamik

    Skills you'll gain: Thermal Management, Engineering Analysis, Mechanical Engineering, Engineering, Simulations, Hydraulics, Numerical Analysis, Mathematical Modeling, Physics

    Intermediate · Course · 1 - 3 Months

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1…378379380381

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

  • Materials Data Sciences and Informatics: Georgia Institute of Technology
  • Data Science with NumPy, Sets, and Dictionaries: Duke University
  • Foundations of Data Structures and Algorithms: University of Colorado Boulder
  • Evolutionary Computation and its Applications: University of Glasgow
  • Abstraction, Problem Decomposition, and Functions: University of Colorado System
  • Image Processing for Engineering and Science: MathWorks
  • C and Go: Classical and Modern Programming: University of California, Santa Cruz
  • Modeling Climate Anomalies with Statistical Analysis: University of Colorado Boulder
  • Algorithms, Data Collection, and Starting to Code: University of Colorado System
  • Linear Algebra for Data Science Using Python: Howard University

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