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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


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Introduction to Networking and Cloud Computing

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    550 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Integral Calculus through Data and Modeling

    Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Mathematical Modeling, Data Analysis, Linear Algebra, Probability, Geometry, Applied Mathematics, Visualization (Computer Graphics), Mechanics, Engineering Calculations, Graphing, Spatial Data Analysis, Physics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    136 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Data Processing and Exploration with NumPy & Pandas

    Skills you'll gain: Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Cleansing, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Cape Town

    Julia Scientific Programming

    Skills you'll gain: Jupyter, Statistical Analysis, Data Visualization, Plot (Graphics), Scientific Visualization, Exploratory Data Analysis, Data Manipulation, Data Science, Other Programming Languages, Statistical Hypothesis Testing, Computer Programming, Mathematical Modeling, Package and Software Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    435 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    P

    Princeton University

    Computer Science: Algorithms, Theory, and Machines

    Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware

    4.7
    Rating, 4.7 out of 5 stars
    ·
    738 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    F

    Fractal Analytics

    Quantum Computing For Everyone - An Introduction

    Skills you'll gain: Cloud Computing, Information Technology, Cybersecurity, Machine Learning Algorithms, Critical Thinking, Simulations

    4.1
    Rating, 4.1 out of 5 stars
    ·
    92 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking & Block Programming in K-12 Education

    Skills you'll gain: Debugging, Computer Programming Tools, Algorithms, Programming Principles, Computational Thinking, Program Development, Student Engagement, Technical Communication, Event-Driven Programming, Computer Programming, Education Software and Technology, Animation and Game Design, Code Review, Object Oriented Design, Diversity Equity and Inclusion Initiatives, Computer Science, Software Documentation, Brainstorming, Data Structures, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, R (Software), Probability, Statistics, Probability & Statistics, Statistical Methods, Bayesian Statistics, Social Network Analysis, Applied Mathematics, Probability Distribution, Simulations, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Data-Oriented Python Programming and Debugging

    Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Descriptive Statistics, Data-oriented programming, Data Processing, Maintainability, Numerical Analysis, Critical Thinking, Technical Support

    4.3
    Rating, 4.3 out of 5 stars
    ·
    15 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Cloud Computing Foundations

    Skills you'll gain: Technical Communication, Cloud Infrastructure, CI/CD, Cloud Computing, Agile Software Development, DevOps, Infrastructure As A Service (IaaS), Continuous Delivery, Infrastructure as Code (IaC), Serverless Computing, Software Development, Amazon Web Services, Software Development Methodologies, Platform As A Service (PaaS), GitHub

    4.5
    Rating, 4.5 out of 5 stars
    ·
    277 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Fundamentals of Scientific Research Under Uncertainty

    Skills you'll gain: Scientific Methods, Research, General Science and Research, Critical Thinking, Probability, Research Design, Bayesian Statistics, Probability & Statistics, Experimentation, Investigation, Decision Making

    4.9
    Rating, 4.9 out of 5 stars
    ·
    40 reviews

    Beginner · Course · 1 - 3 Months

Searches related to scientific computing

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

  • Introduction to Networking and Cloud Computing: Microsoft
  • Integral Calculus through Data and Modeling: Johns Hopkins University
  • Data Processing and Exploration with NumPy & Pandas: Packt
  • Julia Scientific Programming: University of Cape Town
  • Computer Science: Algorithms, Theory, and Machines: Princeton University
  • Quantum Computing For Everyone - An Introduction : Fractal Analytics
  • Computational Thinking & Block Programming in K-12 Education: University of California San Diego
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Computational Neuroscience: University of Washington
  • Data-Oriented Python Programming and Debugging: University of Michigan

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