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Computational Science Courses

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.

Popular Computational Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Computing (Part 2)

    Skills you'll gain: Computational Thinking, Programming Principles, Algorithms, Data Structures, Theoretical Computer Science, Computer Programming, Program Development, Python Programming, Computer Science, Verification And Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    365 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Program Structure and Algorithms Part 1

    Skills you'll gain: Algorithms, Graph Theory, Computational Thinking, Programming Principles, Theoretical Computer Science, Data Structures, Computer Programming, Performance Tuning, Network Routing, Design Strategies

    Mixed · Course · 1 - 3 Months

  • 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, Microsoft Development Tools, Integrated Development Environments, Data Storage, Development Environment, Computer Programming, Mathematical Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    377 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Counting & Probability

    Skills you'll gain: Bayesian Statistics

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists

    Skills you'll gain: Computational Thinking, Debugging, Programming Principles, Technical Communication, Computer Programming, Education Software and Technology, Digital pedagogy, Event-Driven Programming, Cultural Responsiveness, Program Development, Code Reusability, Data Structures, Graphical Tools

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Algorithms on Strings

    Skills you'll gain: Bioinformatics, Algorithms, Data Structures, Theoretical Computer Science, Precision Medicine, Data Transformation, Life Sciences

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Data Structures & Algos: Software Development Skills

    Skills you'll gain: Algorithms, Theoretical Computer Science, Data Structures, Computational Thinking, Analysis, Performance Tuning, Memory Management, Scalability

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Machine Learning Methods, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Jupyter, Regression Analysis, Probability & Statistics, Model Evaluation, Statistical Software, Probability Distribution, Data Science, Markov Model, Statistics, Statistical Programming, Statistical Inference, Statistical Methods, Simulations, Data Visualization, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking for K-12 Educators: Nested If Statements and Compound Conditionals

    Skills you'll gain: Debugging, Computer Programming Tools, Digital pedagogy, Program Development, Computational Logic, Education Software and Technology, Computational Thinking, Programming Principles, Computer Programming, Game Design

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Simulation, Algorithm Analysis, and Pointers

    Skills you'll gain: File I/O, Simulations, C (Programming Language), Computational Thinking, Automation, Algorithms, Theoretical Computer Science, Memory Management, Data Persistence

    4.4
    Rating, 4.4 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Algorithmic Thinking (Part 2)

    Skills you'll gain: Computational Thinking, Algorithms, Theoretical Computer Science, Bioinformatics, Data Structures, Python Programming, Data Analysis, Unsupervised Learning, Analysis, Text Mining

    4.7
    Rating, 4.7 out of 5 stars
    ·
    220 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular computational science courses

  • Principles of Computing (Part 2): Rice University
  • Program Structure and Algorithms Part 1: Northeastern University
  • Algorithms, Data Collection, and Starting to Code: University of Colorado System
  • Discrete Math for Computer Science - Counting & Probability: The Hong Kong University of Science and Technology
  • Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists: University of California San Diego
  • Algorithms on Strings: University of California San Diego
  • Data Structures & Algos: Software Development Skills: Northeastern University
  • Machine Learning Models in Science: LearnQuest
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Computational Thinking for K-12 Educators: Nested If Statements and Compound Conditionals: University of California San Diego

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