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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


  • B

    Birla Institute of Technology & Science, Pilani

    Introduction to Computing Systems

    Skills you'll gain: Computer Architecture, Computer Systems, Computational Logic, Hardware Design, Computer Hardware, Programming Principles, Digital Signal Processing, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    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

  • 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, Technical Documentation, Infrastructure As A Service (IaaS), Cloud Platforms, Continuous Delivery, Infrastructure as Code (IaC), Serverless Computing, Software Development, Platform As A Service (PaaS), GitHub

    4.5
    Rating, 4.5 out of 5 stars
    ·
    291 reviews

    Beginner · Course · 1 - 3 Months

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

    Packt

    Intermediate Python – Libraries, Tools & Practical Projects

    Skills you'll gain: NumPy, Pandas (Python Package), Image Analysis, Data Manipulation, Matplotlib, Computer Vision, Data Analysis, Interactive Data Visualization, Python Programming, Data Visualization, JSON, Dashboard, Data Visualization Software, Jupyter, Web Applications

    Intermediate · Course · 1 - 3 Months

  • P

    Pearson

    Skill Up with Python: Web Development Recipes

    Skills you'll gain: Full-Stack Web Development, Flask (Web Framework), Web Applications, Real Time Data, Web Development, Restful API, Application Development, Application Programming Interface (API), Back-End Web Development, Python Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    GNU Octave: Apply, Implement & Design Functions

    Skills you'll gain: Mathematical Software, Software Installation, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Trigonometry, Programming Principles, Data Manipulation, Engineering Calculations, Linear Algebra, Data Management

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Applied AI for Engineers and Scientists: Foundations

    Skills you'll gain: Data Preprocessing, Model Evaluation, Engineering Practices, Matlab, Engineering Calculations, Classification Algorithms, Engineering Analysis, Engineering, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Applied Mathematics, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
    ·
    139 reviews

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Concurrent and Parallel Programming in Python

    Skills you'll gain: Performance Tuning, Python Programming, OS Process Management, Data Processing, Scalability, Database Management

    3.9
    Rating, 3.9 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark

    Skills you'll gain: Apache Spark, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Data Transformation, SQL

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Concepts, Part 1

    Skills you'll gain: Distributed Computing, NoSQL, Apache Cassandra, Cloud Computing, Systems Design, Data Storage Technologies, Apache Hadoop, Database Theory, Algorithms, Theoretical Computer Science, Scalability, C++ (Programming Language), Network Protocols

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Concepts: Part 2

    Skills you'll gain: Distributed Computing, File Systems, Cloud Computing, Operating Systems, Transaction Processing, Network Security, Data Centers, Authorization (Computing), Apache Hadoop, Data Store, Authentications, Cryptography, NoSQL, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    321 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Octave Programming: Analyze, Apply & Implement

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Programming Principles, Debugging, Matlab, Computational Thinking, Numerical Analysis, Data Manipulation, Linear Algebra

    Mixed · Course · 1 - 4 Weeks

1…567…454

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

  • Introduction to Computing Systems: Birla Institute of Technology & Science, Pilani
  • Computation and Visualization for Analytics Part 2: Northeastern University
  • Cloud Computing Foundations: Duke University
  • Intermediate Python – Libraries, Tools & Practical Projects: Packt
  • Skill Up with Python: Web Development Recipes: Pearson
  • GNU Octave: Apply, Implement & Design Functions: EDUCBA
  • Applied AI for Engineers and Scientists: Foundations: University of Glasgow
  • Concurrent and Parallel Programming in Python: Packt
  • Big Data Analysis with Scala and Spark: École Polytechnique Fédérale de Lausanne
  • Cloud Computing Concepts, Part 1: University of Illinois Urbana-Champaign

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