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  • Python Data Science

Results for "python data science"


  • P

    Packt

    Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG

    Skills you'll gain: Retrieval-Augmented Generation, Database Management Systems, Python Programming, Analysis, Data Import/Export

    Intermediate · Course · 1 - 3 Months

  • U

    University of London

    Problems, Algorithms and Flowcharts

    Skills you'll gain: Pseudocode, Algorithms, Computational Thinking, Computer Science, Data Structures, Diagram Design, Program Development

    4.4
    Rating, 4.4 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidad de los Andes

    Fundamentos de estadística aplicada

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Statistics, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    144 reviews

    Intermediate · Course · 1 - 3 Months

  • V

    Vanderbilt University

    Integrating Generative AI into Project Management

    Skills you'll gain: Workflow Management, AI Enablement, Constructive Feedback, Generative AI, Large Language Modeling, Artificial Intelligence, Automation, Responsible AI, Technical Communication, Project Management, Data Ethics, Communication Strategies, Data-Driven Decision-Making, Data Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Vector Database Fundamentals

    Skills you'll gain: Vector Databases, AI Personalization, Hugging Face, MongoDB, Embeddings, NoSQL, PostgreSQL, Relational Databases, Generative AI, SQL, Databases, LLM Application, Applied Machine Learning, Database Design, Database Management, Artificial Intelligence, Apache Cassandra, Text Mining, Machine Learning, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    72 reviews

    Intermediate · Specialization · 1 - 3 Months

  • U

    University of California, Santa Cruz

    C, Go, and C++: A Comprehensive Introduction to Programming

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    9.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Alberta

    A Complete Reinforcement Learning System (Capstone)

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Simulations, Model Evaluation, Performance Testing, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Markov Model, Algorithms, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    651 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines

    4
    Rating, 4 out of 5 stars
    ·
    481 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    Build Wireframes and Low-Fidelity Prototypes

    Skills you'll gain: Storyboarding, Wireframing, Information Architecture, Figma (Design Software), User Story, User Experience Design, User Centered Design, Prototyping, User Interface (UI), Usability, Mockups, Persona (User Experience), User Flows

    4.9
    Rating, 4.9 out of 5 stars
    ·
    9.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Principles of fMRI 2

    Skills you'll gain: Magnetic Resonance Imaging, Data Analysis, Analytical Skills, Image Analysis, Statistical Analysis, Advanced Analytics, Network Analysis, Psychology, Time Series Analysis and Forecasting, Matlab, Neurology, Statistical Modeling, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    249 reviews

    Mixed · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    489 reviews

    Advanced · Course · 1 - 3 Months

  • I

    IBM

    IBM Full Stack Software Developer

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, CI/CD, Cloud-Native Computing, Istio, Software Architecture, Node.JS, React Redux, Cloud Computing Architecture, Application Deployment, Restful API, Responsive Web Design, Django (Web Framework), Git (Version Control System), HTML and CSS, Server Side, Cloud Computing, Data Ethics, Data Import/Export, Engineering Software

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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1…247248249…834

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

  • Neo4j: Cypher, GDS, GraphQL, LLM, Knowledge Graphs for RAG: Packt
  • Problems, Algorithms and Flowcharts: University of London
  • Fundamentos de estadística aplicada: Universidad de los Andes
  • Integrating Generative AI into Project Management: Vanderbilt University
  • Vector Database Fundamentals: IBM
  • C, Go, and C++: A Comprehensive Introduction to Programming: University of California, Santa Cruz
  • A Complete Reinforcement Learning System (Capstone): University of Alberta
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Build Wireframes and Low-Fidelity Prototypes: Google
  • Principles of fMRI 2: Johns Hopkins University

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