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  • Python 20 For 20 Beginners

Results for "python%20for%20beginners"


  • E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Deep Learning, Model Deployment, Data Ethics, Data Preprocessing, Machine Learning, Computer Programming, Model Evaluation, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    162 reviews

    Intermediate · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Developing AI Applications on Azure

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Microsoft Azure, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Natural Language Processing, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    978 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Data Science Beyond the Basics (ML+DS)

    Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Deep Learning, A/B Testing, Transfer Learning, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization

    4.2
    Rating, 4.2 out of 5 stars
    ·
    26 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Artificial Intelligence, Recurrent Neural Networks (RNNs)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    408 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

    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

  • R

    Rice University

    Algorithmic Thinking (Part 2)

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    219 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of California San Diego

    Introduction to Graph Theory

    Skills you'll gain: Graph Theory, Combinatorics, Network Analysis, Data Structures, Visualization (Computer Graphics), Algorithms, Mathematical Theory & Analysis, Theoretical Computer Science, Program Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Job Skills
    Job Skills
    D

    DeepLearning.AI

    DeepLearning.AI Data Analytics

    Skills you'll gain: Data Storytelling, Web Scraping, Google Sheets, Data Visualization, Data Presentation, Spreadsheet Software, Large Language Modeling, Tableau Software, Data Literacy, Dashboard, LinkedIn, Pandas (Python Package), Time Series Analysis and Forecasting, Probability & Statistics, Extract, Transform, Load, Statistical Analysis, Statistics, Data Manipulation, Data Analysis, Descriptive Statistics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    257 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • U

    University of Michigan

    Building Web Applications in Django

    Skills you'll gain: Django (Web Framework)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    785 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Application Development using Microservices and Serverless

    Skills you'll gain: Cloud Deployment, Application Deployment, OpenShift, Cloud Applications, Serverless Computing, Microservices, Istio, API Gateway, Restful API, Cloud Computing, IBM Cloud, Kubernetes, Application Development, Software Architecture, Scalability, Flask (Web Framework)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    397 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Data Scientist Career Guide and Interview Preparation

    Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Problem Solving, Communication, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    371 reviews

    Beginner · Course · 1 - 4 Weeks

1…727374…148

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

  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • Developing AI Applications on Azure: LearnQuest
  • Data Science Beyond the Basics (ML+DS): Coursera
  • Generative AI and LLMs: Architecture and Data Preparation: IBM
  • DevOps, DataOps, MLOps: Duke University
  • Comparing Genes, Proteins, and Genomes (Bioinformatics III): University of California San Diego
  • Algorithmic Thinking (Part 2): Rice University
  • Introduction to Graph Theory: University of California San Diego
  • DeepLearning.AI Data Analytics: DeepLearning.AI
  • Building Web Applications in Django: University of Michigan

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