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  • 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
    ·
    217 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Mastering Data Analysis with Pandas

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, NumPy, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    179 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    K

    KodeKloud

    DevOps Mastery

    Skills you'll gain: Jenkins, Terraform, Infrastructure as Code (IaC), Ansible, Package and Software Management, Kubernetes, Linux Administration, Continuous Integration, CI/CD, Git (Version Control System), Linux, Docker (Software), YAML, Application Development, Linux Commands, Microservices, Devops Tools, GitHub, Data Structures, DevOps

    4.6
    Rating, 4.6 out of 5 stars
    ·
    250 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Introduction to Object-Oriented Programming with Java

    Skills you'll gain: Java Programming, Java, Object Oriented Programming (OOP), Computer Programming, Virtual Machines, Package and Software Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    528 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Algorithmic Thinking (Part 2)

    Skills you'll gain: Computational Thinking, Algorithms, Theoretical Computer Science, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    219 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Data Science at Scale

    Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Databases, Statistical Machine Learning, Model Evaluation, Predictive Analytics, R Programming, Data Analysis, SQL, Predictive Modeling, Python Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    923 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Applied Machine Learning, Keras (Neural Network Library), Embeddings, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Computer Vision and Image Processing

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Transfer Learning, Model Evaluation, Machine Learning Methods, Classification Algorithms, Machine Learning Algorithms, Visualization (Computer Graphics), Deep Learning, Feature Engineering, Network Architecture

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.4K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Data Manipulation at Scale: Systems and Algorithms

    Skills you'll gain: Big Data, Relational Databases, Database Systems, Dataflow, Databases, Data Science, Data Manipulation, Data Processing, NoSQL, Apache Spark, Distributed Computing, Apache Hadoop, SQL, Data Analysis, Query Languages, Cloud Computing, Scalability, Graph Theory, Python Programming, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    772 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Comparing Genes, Proteins, and Genomes (Bioinformatics III)

    Skills you'll gain: Bioinformatics, Molecular Biology, Computational Thinking, Computer Programming Tools, Graph Theory, Mathematical Modeling, Python Programming, Biology

    4.7
    Rating, 4.7 out of 5 stars
    ·
    138 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Analysis, SAS (Software), Scatter Plots, Predictive Modeling, Model Evaluation, Data Manipulation, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    274 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Object-Oriented Programming Concepts

    Skills you'll gain: Unified Modeling Language, Object Oriented Programming (OOP), Object Oriented Design, Test Driven Development (TDD), Software Design Patterns, Software Design, Programming Principles, Computer Programming, Java Programming, Software Development Methodologies, Distributed Computing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    148 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • DevOps, DataOps, MLOps: Duke University
  • Mastering Data Analysis with Pandas: Coursera
  • DevOps Mastery: KodeKloud
  • Introduction to Object-Oriented Programming with Java: LearnQuest
  • Algorithmic Thinking (Part 2): Rice University
  • Data Science at Scale: University of Washington
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • Introduction to Computer Vision and Image Processing: IBM
  • Data Manipulation at Scale: Systems and Algorithms: University of Washington
  • Comparing Genes, Proteins, and Genomes (Bioinformatics III): University of California San Diego

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