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Theoretical Computer Science Courses

Theoretical computer science courses can help you learn algorithms, computational complexity, automata theory, and formal languages. You can build skills in problem-solving, mathematical reasoning, and algorithm analysis, that support tackling complex computational tasks. Many courses introduce tools like Python for algorithm implementation, LaTeX for typesetting mathematical documents, and software for simulating automata, allowing you to apply these concepts in practical scenarios.


Popular Theoretical Computer Science Courses and Certifications


  • Status: Free Trial
    Free Trial
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    Microsoft

    Azure Identity and Networking Essentials

    Skills you'll gain: Identity and Access Management, Azure Active Directory, Microsoft Azure, Virtual Networking, Network Troubleshooting, Hybrid Cloud Computing, Network Security, Network Administration, Windows PowerShell, Virtual Machines, Infrastructure as Code (IaC), Role-Based Access Control (RBAC), Cloud Security, Command-Line Interface

    4.3
    Rating, 4.3 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Auto Machine Learning (AutoML) Using AutoGluon

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Classification Algorithms, Model Evaluation, Machine Learning, Python Programming, Prototyping

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
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    P

    Pontificia Universidad Católica de Chile

    Sonidos digitales: síntesis y procesamiento en el computador

    Skills you'll gain: Musical Composition, Music, Digital Signal Processing, Music Theory, Software Development Tools, Instrumental Music, Vibrations, Algorithms

    Intermediate · Course · 1 - 3 Months

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

    Pearson

    CCNA 200-301 Version 1.1: Unit 1

    Skills you'll gain: Network Architecture, General Networking, Network Infrastructure, Computer Networking, OSI Models, Network Switches, Local Area Networks, Networking Hardware, Network Protocols, Network Model

    3.7
    Rating, 3.7 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    Fractal Analytics

    How to Build a Diffusion Model - An Introduction

    Skills you'll gain: Model Evaluation, Generative AI, Data Preprocessing, Transfer Learning, PyTorch (Machine Learning Library), Machine Learning, Convolutional Neural Networks, Image Quality

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Pengantar Analisis Data di Google Cloud

    Skills you'll gain: Looker (Software), Data-Driven Decision-Making, Data Visualization Software, Dashboard, Data Analysis, Analytics, Google Cloud Platform, Big Data, SQL, Business Analytics, Cloud Storage, Query Languages, Data Warehousing, Relational Databases

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Planning for a Google Workspace Deployment - Português

    Skills you'll gain: Organizational Change, Change Management, Google Workspace, Data Migration, Cloud Deployment, User Provisioning, Technical Management, Email Automation, Stakeholder Management, End User Training and Support

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Gemini for Network Engineers - Français

    Skills you'll gain: Google Gemini, Virtual Networking, Google Cloud Platform, Network Administration, Virtual Machines, Network Planning And Design, Network Architecture

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Take your resume to the next level with Canva

    Skills you'll gain: Canva (Software), Graphic Design, Graphic and Visual Design, Design, Visual Design, Layout Design, Entrepreneurship, Critical Thinking

    4.2
    Rating, 4.2 out of 5 stars
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    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    TensorFlow を使った畳み込みニューラルネットワーク

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Transfer Learning, Image Analysis, Computer Vision, Classification Algorithms, Applied Machine Learning, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Penetration Testing and Ethical Hacking

    Skills you'll gain: Penetration Testing, MITRE ATT&CK Framework, Cyber Security Assessment, Public Key Infrastructure, Cyber Threat Intelligence, Threat Modeling, Cryptography, Exploitation techniques, Security Testing, Vulnerability Scanning, Brute-force attacks, Encryption, Network Security, Technical Writing

    3.8
    Rating, 3.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Azure Identity and Networking Essentials: Microsoft
  • Auto Machine Learning (AutoML) Using AutoGluon : Coursera
  • Sonidos digitales: síntesis y procesamiento en el computador: Pontificia Universidad Católica de Chile
  • CCNA 200-301 Version 1.1: Unit 1: Pearson
  • How to Build a Diffusion Model - An Introduction: Fractal Analytics
  • Pengantar Analisis Data di Google Cloud: Google Cloud
  • Planning for a Google Workspace Deployment - Português: Google Cloud
  • Gemini for Network Engineers - Français: Google Cloud
  • Take your resume to the next level with Canva: Coursera
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs

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