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  • Algorithm Python

Algorithm Python Courses

Algorithm Python courses can help you learn sorting algorithms, search algorithms, and data structures like trees and graphs. You can build skills in problem-solving, optimizing code efficiency, and implementing algorithms in real-world applications. Many courses introduce tools such as Jupyter Notebooks and libraries like NumPy and Pandas, that support applying algorithms in data analysis and artificial intelligence projects.


More to explore:

Popular Algorithm Python Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    215 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Cybersecurity Solutions and Microsoft Defender

    Skills you'll gain: Security Information and Event Management (SIEM), Cloud Security, Cyber Security Policies, Microsoft Azure, Identity and Access Management, Cybersecurity, Cyber Threat Intelligence, Malware Protection, Network Security, Distributed Denial-Of-Service (DDoS) Attacks, Threat Management, Firewall, Endpoint Security, Threat Detection, Virtual Networking, Encryption, Event Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    173 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines

    4
    Rating, 4 out of 5 stars
    ·
    481 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    681 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Infosec

    Computer Forensics

    Skills you'll gain: Digital Forensics, File Systems, Microsoft Windows, Cybersecurity, TCP/IP, Network Protocols, Information Systems Security, File Management, Operating Systems, Data Structures, General Networking, Data Validation, Record Keeping, Data Integrity, Data Storage, Data Analysis Software, User Accounts, USB, Ethical Standards And Conduct, Encryption

    4.7
    Rating, 4.7 out of 5 stars
    ·
    344 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Introduction to Java and Object-Oriented Programming

    Skills you'll gain: Object Oriented Design, Java, Object Oriented Programming (OOP), Unit Testing, Java Programming, Application Development, Data Structures, Software Testing, Programming Principles, Test Driven Development (TDD), Computer Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    332 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Real-Time Embedded Systems Concepts and Practices

    Skills you'll gain: Embedded Software, Electronic Systems, Service Level, Debugging, Algorithms

    3.9
    Rating, 3.9 out of 5 stars
    ·
    98 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of Coding Full-Stack

    Skills you'll gain: Microsoft Copilot, Programming Principles, Full-Stack Web Development, GitHub, Version Control, Program Development, Debugging, Computational Thinking, Git (Version Control System), Computer Programming, Algorithms, Web Development, C# (Programming Language), Back-End Web Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    179 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Razonamiento artificial

    Skills you'll gain: Bayesian Network, Computational Logic, Markov Model, Artificial Intelligence, Game Theory, Theoretical Computer Science, Logical Reasoning, Python Programming, Deductive Reasoning, Reinforcement Learning, Probability, Verification And Validation, Decision Tree Learning, Algorithms, Probability Distribution

    4.1
    Rating, 4.1 out of 5 stars
    ·
    114 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Access Bioinformatics Databases with Biopython

    Skills you'll gain: Bioinformatics, Scientific Visualization, Data Access, Extensible Markup Language (XML), Data Visualization, Data Wrangling, Database Software, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    47 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    103 reviews

    Advanced · Professional Certificate · 3 - 6 Months

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In summary, here are 10 of our most popular algorithm python courses

  • DevOps, DataOps, MLOps: Duke University
  • Cybersecurity Solutions and Microsoft Defender: Microsoft
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Guided Tour of Machine Learning in Finance: New York University
  • Computer Forensics: Infosec
  • Introduction to Java and Object-Oriented Programming: University of Pennsylvania
  • Real-Time Embedded Systems Concepts and Practices: University of Colorado Boulder
  • Principal Component Analysis with NumPy: Coursera
  • Foundations of Coding Full-Stack: Microsoft
  • Razonamiento artificial: Universidad Nacional Autónoma de México

Skills you can learn in Algorithms

Graphs (22)
Mathematical Optimization (21)
Computer Program (20)
Data Structure (19)
Problem Solving (19)
Algebra (12)
Computer Vision (10)
Discrete Mathematics (10)
Graph Theory (10)
Image Processing (10)
Linear Algebra (10)
Reinforcement Learning (10)

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