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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.


Popular Algorithm Python Courses and Certifications


  • Status: Free Trial
    Free Trial
    P

    Packt

    Securing Systems and Networks

    Skills you'll gain: Network Security, Intrusion Detection and Prevention, Command-Line Interface, Cybersecurity, Information Systems Security, Local Area Networks, Firewall, Windows PowerShell, Hardening, Threat Detection, Linux, Penetration Testing, Network Architecture, Wireless Networks, Vulnerability Assessments, System Configuration, IT Automation, Encryption, Network Analysis, Public Key Infrastructure

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Empathy and Data in Risk Management

    Skills you'll gain: Risk Management, Enterprise Risk Management (ERM), Risk Analysis, Risk Control, Cyber Risk, Persuasive Communication, Tableau Software, Data Visualization, Data Visualization Software, Data Literacy, Cybersecurity, Empathy, Diversity Equity and Inclusion Initiatives, Communication, Heat Maps, Stakeholder Analysis, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning in Healthcare: Fundamentals & Applications

    Skills you'll gain: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Healthcare Industry Knowledge, Algorithms, Data Cleansing, Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    Beginning Llamafile for Local Large Language Models (LLMs)

    Skills you'll gain: LLM Application, Large Language Modeling, Model Deployment, Embeddings, Application Programming Interface (API), Restful API, Natural Language Processing, Command-Line Interface, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Supervised Learning, Applied Machine Learning, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, NumPy, Performance Tuning, Linear Algebra

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Seaborn: Visualizing Basics to Advanced Statistical Plots

    Skills you'll gain: Seaborn, Data Storytelling, Data Presentation, Statistical Visualization, Data Visualization, Data Literacy, Data Visualization Software, Matplotlib, Box Plots, Scatter Plots, Statistical Analysis, Heat Maps, Histogram, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust for Large Language Model Operations (LLMOps)

    Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Generative AI, Rust (Programming Language), Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Cloud Deployment, PyTorch (Machine Learning Library), CI/CD, Applied Machine Learning, Natural Language Processing, Infrastructure as Code (IaC), DevOps, Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Selenium Techniques and Framework Introduction

    Skills you'll gain: Selenium (Software), Test Script Development, Test Automation, Test Case, Software Testing, Cascading Style Sheets (CSS), Application Frameworks, Browser Compatibility, Javascript and jQuery, Web Scraping, Automation, Python Programming, Hypertext Markup Language (HTML)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Predictive Modeling, Machine Learning, Supervised Learning, Data Transformation, Unsupervised Learning, Classification Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep: AWS Certified Advanced Networking Specialty

    Skills you'll gain: Amazon CloudWatch, Network Troubleshooting, Continuous Monitoring, Identity and Access Management, Dynamic Host Configuration Protocol (DHCP), AWS Identity and Access Management (IAM), Encryption, Network Security, System Monitoring, Virtual Networking, Network Routing, Network Architecture, Hybrid Cloud Computing, Network Administration, Amazon Web Services, Security Controls, Network Planning And Design, Cloud Security, Network Infrastructure, AWS CloudFormation

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Deployment, Keras (Neural Network Library), Model Evaluation, Exploratory Data Analysis, Data Quality, Data Cleansing, Google Cloud Platform, Data Preprocessing, MLOps (Machine Learning Operations), Machine Learning, Logistic Regression, Data Pipelines, Supervised Learning, Deep Learning, Performance Tuning, Artificial Neural Networks, Applied Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Securing Systems and Networks: Packt
  • Empathy and Data in Risk Management: University of Illinois Urbana-Champaign
  • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
  • Beginning Llamafile for Local Large Language Models (LLMs): Duke University
  • 신경망 및 딥 러닝: DeepLearning.AI
  • Seaborn: Visualizing Basics to Advanced Statistical Plots: Coursera
  • Rust for Large Language Model Operations (LLMOps): Duke University
  • Advanced Selenium Techniques and Framework Introduction: Packt
  • AWS: Machine Learning & MLOps Foundations: Whizlabs
  • Exam Prep: AWS Certified Advanced Networking Specialty: Whizlabs

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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