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Cours en Data Science

Les cours en data science peuvent vous aider à comprendre comment analyser des données, créer des modèles et évaluer leurs performances. Vous pouvez développer des compétences en statistique, apprentissage automatique, préparation des données et visualisation. De nombreux cours utilisent des langages et bibliothèques courants pour travailler sur des projets pratiques.


Cours et certificats populaires en Data Science


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    Coursera

    GenAI for Field Sales Agents: Local Market Insights

    Skills you'll gain: Sales Territory Management, Generative AI Agents, Sales Strategy, Customer Engagement, Sales Process, Lead Generation, Sales, Sales Enablement, Real Time Data, AI Enablement, Customer Insights, Market Analysis, Ethical Standards And Conduct, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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    Pearson

    Generative AI for Developers: Unit 3

    Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Multimodal Prompts, Generative AI, OpenAI API, Generative Model Architectures, AI Workflows, Business Process Automation, Tool Calling, AI Enablement, Application Programming Interface (API), AI Personalization, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), File I/O

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    GenAI for Compensation Analysis in Law Firms

    Skills you'll gain: Compensation Management, Compensation Analysis, Compensation Strategy, Compensation and Benefits, Legal Technology, People Analytics, Data-Driven Decision-Making, Benchmarking, Labor Compliance, Generative AI, Employee Retention, Analysis, Operational Efficiency

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Google Cloud Platform, Model Deployment, Cloud Management, Application Lifecycle Management, DevOps, Cloud Deployment, Applied Machine Learning, Continuous Deployment, Automation

    Intermediate · Course · 1 - 4 Weeks

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    Amazon Web Services

    Using Amazon Q to Enhance Applications and Developer Productivity

    Skills you'll gain: Code Review, Process Driven Development, Software Development Tools, AI Workflows, Program Development

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Application Lifecycle Management, DevOps, Continuous Deployment, Model Evaluation, AI Workflows, Automation, Continuous Integration, Applied Machine Learning, Data Management

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Tibco BW: Design & Validate Web Services

    Skills you'll gain: Fraud detection, Web Services, Simple Object Access Protocol (SOAP), Service Oriented Architecture, API Testing, Verification And Validation, Process Design, API Design, Software Design, Workflow Management, System Testing, Extensible Markup Language (XML), Software Testing, Data Validation, Enterprise Architecture, Secure Coding, Middleware

    Mixed · Course · 1 - 4 Weeks

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    Packt

    AI-900 - Azure AI Fundamentals and Two Practice Tests

    Skills you'll gain: Unsupervised Learning, Responsible AI, Classification Algorithms

    Beginner · Course · 1 - 3 Months

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    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Master Machine Learning with TensorFlow: Basics to Advanced

    Skills you'll gain: Data Preprocessing, Tensorflow, Scikit Learn (Machine Learning Library), Machine Learning, Feature Engineering, Deep Learning, Convolutional Neural Networks, Matplotlib, Jupyter, Python Programming, NumPy, Data Manipulation, Artificial Neural Networks, Seaborn, Development Environment, Pandas (Python Package), Regression Analysis

    Mixed · Course · 1 - 3 Months

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    Pearson

    Generative AI for Developers: All you need to know!

    Skills you'll gain: Prompt Engineering, ChatGPT, Responsible AI, Prompt Patterns, Multimodal Prompts, Generative AI, OpenAI API, Generative Model Architectures, AI Workflows, Application Development, Business Process Automation, Web Applications, Scripting, Python Programming, Test Script Development, Tool Calling, AI Enablement, Full-Stack Web Development, GitHub, Jupyter

    Intermediate · Specialization · 1 - 4 Weeks

Searches related to data science

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In summary, here are 10 of our most popular data science courses

  • GenAI for Field Sales Agents: Local Market Insights: Coursera
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Generative AI for Developers: Unit 3: Pearson
  • GenAI for Compensation Analysis in Law Firms: Coursera
  • Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
  • Using Amazon Q to Enhance Applications and Developer Productivity: Amazon Web Services
  • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
  • Tibco BW: Design & Validate Web Services: EDUCBA
  • AI-900 - Azure AI Fundamentals and Two Practice Tests: Packt
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University

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