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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
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    Duke University

    Data Science with NumPy, Sets, and Dictionaries

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

    3.9
    Rating, 3.9 out of 5 stars
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    19 reviews

    Beginner · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Glasgow

    Computational Thinking with Javascript 1: Draw & Animate

    Skills you'll gain: Computational Thinking, Javascript, Programming Principles, Computer Programming, Computer Graphics, Animations, Debugging, Scripting Languages

    Beginner · Course · 1 - 4 Weeks

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    Northeastern University

    Computation and Visualization for Analytics Part 2

    Skills you'll gain: Data Storytelling, Plotly, Statistical Visualization, Interactive Data Visualization, Matplotlib, Data Visualization Software, Network Analysis, Seaborn, Data-Driven Decision-Making, Data Mining, Scatter Plots, R Programming, Graph Theory, Data Science, Time Series Analysis and Forecasting

    Build toward a degree

    Mixed · Course · 1 - 3 Months

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    Northeastern University

    Program Structure and Algorithms Part 2

    Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Network Model, Pseudocode, Computational Thinking, Bayesian Network, Data Structures, Graph Theory, Machine Learning Algorithms, Classification Algorithms, Network Analysis, Probability, Probability & Statistics

    Mixed · Course · 1 - 3 Months

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    Northeastern University

    Computation and Visualization for Analytics Part 1

    Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Matplotlib, Data Preprocessing, Pandas (Python Package), Scatter Plots, Data Cleansing, Data Integration, Data Transformation, Big Data, Programming Principles, Python Programming

    Build toward a degree

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Colorado System

    Data Analysis and Representation, Selection and Iteration

    Skills you'll gain: Computational Thinking, Data Analysis, C (Programming Language), Statistical Analysis, Programming Principles, Data Structures, Descriptive Statistics, Data Visualization Software

    4.7
    Rating, 4.7 out of 5 stars
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    93 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Designing Larger Python Programs for Data Science

    Skills you'll gain: Python Programming, Simulations, Debugging, Pandas (Python Package), Program Development, Unit Testing, Test Case, Data Science, Software Design, Computational Thinking, Integration Testing, Computer Programming, Object Oriented Programming (OOP), Data Manipulation, Software Development

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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, Digital pedagogy, Event-Driven Programming, Program Development, Data Structures, Algorithms, Student Engagement, Visualization (Computer Graphics)

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking for K-12 Educators Capstone

    Skills you'll gain: Algorithms, Programming Principles, Computational Thinking, Program Development, Code Review, Software Documentation, Debugging, Technical Communication

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Glasgow

    Computational Thinking with JavaScript 2: Model & Analyse

    Skills you'll gain: JSON, Data Structures, Analytics, Computational Thinking, Data Analysis, Data Visualization Software, Scripting, Javascript, Data Processing, Unsupervised Learning, Data Modeling, Machine Learning, Programming Principles, Object Oriented Programming (OOP), Computer Programming, Algorithms, Software Development

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Computational Thinking with JavaScript 3:Organise & Interact

    Skills you'll gain: Javascript, HTML and CSS, Web Development, Web Applications, Front-End Web Development, Event-Driven Programming, Computational Thinking, Software Testing, Application Development, Software Development, Software Development Tools, Computer Programming Tools, Development Environment, Programming Principles, Computer Graphics, Animations

    Beginner · Course · 1 - 4 Weeks

Searches related to computational science

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1…8910…796

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

  • Data Science with NumPy, Sets, and Dictionaries: Duke University
  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Computational Thinking with Javascript 1: Draw & Animate: University of Glasgow
  • Computation and Visualization for Analytics Part 2: Northeastern University
  • Program Structure and Algorithms Part 2: Northeastern University
  • Computation and Visualization for Analytics Part 1: Northeastern University
  • Data Analysis and Representation, Selection and Iteration: University of Colorado System
  • Designing Larger Python Programs for Data Science: Duke University
  • Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists: University of California San Diego
  • Computational Thinking for K-12 Educators Capstone: University of California San Diego

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