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  • Python 20 For 20 Beginners


Results for "python%20for%20beginners"


  • U

    University of Michigan

    Django for Everybody

    Skills you'll gain: Django (Web Framework), Ajax, jQuery, Model View Controller, Cascading Style Sheets (CSS), Hypertext Markup Language (HTML), JSON, Linux Commands, Application Deployment, Database Design, Cloud Deployment, Web Applications, Application Development, Web Development, Javascript, Authentications, Web Servers, Data Modeling, SQL, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Michigan

    C Programming for Everybody

    Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Algorithms, Computer Programming, Software Design, Application Security, Other Programming Languages, Python Programming, Java Programming, System Programming, Computer Architecture, Performance Tuning, Unix, Computer Science, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    242 reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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

  • U

    Universitat Pompeu Fabra of Barcelona

    Audio Signal Processing for Music Applications

    Skills you'll gain: Digital Signal Processing, Music, Music Theory, Open Source Technology, Python Programming, Time Series Analysis and Forecasting, NumPy, Mathematical Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    294 reviews

    Intermediate · Course · 1 - 3 Months

  • 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

  • I

    IBM

    Introduction to Big Data with Spark and Hadoop

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Development Environment, Distributed Computing, Performance Tuning, Data Transformation, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    476 reviews

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Microsoft Azure Data Scientist Associate (DP-100) Exam Prep

    Skills you'll gain: Responsible AI, Model Deployment, Convolutional Neural Networks, Classification Algorithms, Data Analysis, Image Analysis, Model Evaluation, Transfer Learning, Data Ethics, Machine Learning, Tensorflow, Data Processing, Data Pipelines, Data Transformation, Data Preprocessing, Machine Learning Software, Distributed Computing, Information Privacy, Supervised Learning, Virtual Machines

    4.2
    Rating, 4.2 out of 5 stars
    ·
    617 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    VLSI CAD Part I: Logic

    Skills you'll gain: Computational Logic, Application Specific Integrated Circuits, Theoretical Computer Science, Data Structures, Verification And Validation, Computer Architecture, Systems Design, Algorithms, Computer Engineering, Mathematical Software, Design Software, Computer Programming Tools, Debugging, Digital Design, Software Development Tools

    4.6
    Rating, 4.6 out of 5 stars
    ·
    557 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Introduction to Concurrent Programming with GPUs

    Skills you'll gain: C and C++, Distributed Computing, Hardware Architecture, Programming Principles, Computer Architecture, Data Access, Program Development, Algorithms, Python Programming, Computer Programming Tools, Data Sharing, Development Environment, Debugging

    2.7
    Rating, 2.7 out of 5 stars
    ·
    141 reviews

    Beginner · Course · 1 - 3 Months

  • 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

1…707172…149

In summary, here are 10 of our most popular python%20for%20beginners courses

  • Django for Everybody: University of Michigan
  • C Programming for Everybody: University of Michigan
  • DevOps, DataOps, MLOps: Duke University
  • Audio Signal Processing for Music Applications: Universitat Pompeu Fabra of Barcelona
  • Algorithmic Thinking (Part 2): Rice University
  • Introduction to Big Data with Spark and Hadoop: IBM
  • Microsoft Azure Data Scientist Associate (DP-100) Exam Prep: Microsoft
  • Machine Learning: Classification: University of Washington
  • Introduction to Neural Networks and PyTorch: IBM
  • VLSI CAD Part I: Logic: University of Illinois Urbana-Champaign

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