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  • Introduction To Data Science

Results for "introduction to data science"


  • Status: New
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    P

    Pearson

    Learning Deep Learning: Unit 3

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, LLM Application, Computer Vision, Responsible AI, Generative AI, Data Ethics, Multimodal Prompts, Applied Machine Learning, Natural Language Processing, Machine Learning Methods, Artificial Neural Networks, Artificial Intelligence, Application Deployment, Network Model, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Pandas (Python Package), Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Data Science, MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

    4.5
    Rating, 4.5 out of 5 stars
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    320 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    G

    Google Cloud

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

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, DevOps, Continuous Deployment, Automation, Application Deployment, Applied Machine Learning, Machine Learning, Software Development Life Cycle, Continuous Integration, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Whizlabs

    Java: Arrays, Loops, Methods, and Encapsulation

    Skills you'll gain: Object Oriented Design, Computer Programming

    Intermediate · Course · 1 - 4 Weeks

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    N

    Northeastern University

    Engineering Probability and Statistics Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    P

    Politecnico di Milano

    Archaeoastronomy

    Skills you'll gain: Ancient History, Architectural Design, Civil and Architectural Engineering, Social Studies, Architecture and Construction, World History, Physical Science, Cultural Diversity

    4.5
    Rating, 4.5 out of 5 stars
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    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Algorithmic Thinking (Part 1)

    Skills you'll gain: Graph Theory, Algorithms, Computational Thinking, Data Analysis, Data Structures, Theoretical Computer Science, Network Analysis, Analysis, Programming Principles, Python Programming, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
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    384 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Supervised Learning, Artificial Neural Networks, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Computer Vision, Network Architecture, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Go and C++: Programming in Two Successor Languages of C

    Skills you'll gain: C++ (Programming Language), Go (Programming Language), Data Structures, C and C++, Object Oriented Programming (OOP), Software Design Patterns, Debugging, Object Oriented Design, Computer Programming, Unit Testing, Algorithms, C (Programming Language), Programming Principles, Integrated Development Environments, Graph Theory, Computer Science, File Systems, Artificial Intelligence, Integration Testing, Software Design

    4.4
    Rating, 4.4 out of 5 stars
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    2.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    C

    Coursera

    Crafting AI Identities: Strategies & Ethical Considerations

    Skills you'll gain: Responsible AI, AI Personalization, Data Ethics, Information Privacy, Persona (User Experience), User Research, Multimodal Prompts, Diversity Awareness, Persona Development, User Experience Design, Usability, Artificial Intelligence, Accountability, Human Centered Design, Ethical Standards And Conduct, User Centered Design

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    C

    Coursera

    GenAI for IT Project Managers

    Skills you'll gain: IT Management, Project Risk Management, Technical Management, Risk Management, Project Management, Generative AI, Case Studies, Resource Allocation, Innovation, Business Ethics, Decision Making

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    U

    University of Cambridge

    User experience design

    Skills you'll gain: User Experience Design, Storytelling, Design, User Centered Design, Design Thinking, Human Centered Design, Public Speaking, Design Research, Usability Testing, Empathy, Creativity, Collaboration

    Beginner · Course · 1 - 3 Months

Searches related to introduction to data science

introduction to data science in python
introduction to data science techniques
introduction to data science (public policy)
introduction to r programming for data science
introduction to data science and scikit-learn in python
introduction to bayesian statistics for data science
introduction to clinical data science
1…385386387…834

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

  • Learning Deep Learning: Unit 3: Pearson
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
  • Java: Arrays, Loops, Methods, and Encapsulation: Whizlabs
  • Engineering Probability and Statistics Part 2: Northeastern University
  • Archaeoastronomy: Politecnico di Milano
  • Algorithmic Thinking (Part 1): Rice University
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Go and C++: Programming in Two Successor Languages of C: University of California, Santa Cruz
  • Crafting AI Identities: Strategies & Ethical Considerations: Coursera

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