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  • Spatial Data Analysis

Results for "spatial data analysis"


  • C

    Coursera

    Calibrate and Serve Confident AI Predictions

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    ML Production Systems

    Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Continuous Integration, Testability, Kubernetes, CI/CD, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Tensorflow, Containerization, Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming

    Intermediate · Specialization · 1 - 3 Months

  • J

    Johns Hopkins University

    Advanced R Programming

    Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning, Performance Testing

    4.2
    Rating, 4.2 out of 5 stars
    ·
    576 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Statistical Inference, Estimation, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Markov Model, Data Literacy, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Artificial Intelligence, Generative AI, Data Analysis, Data Science, Theoretical Computer Science, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    346 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Understand RAG Basics

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Data Flow Diagrams (DFDs), Prompt Engineering, Generative AI, Embeddings, Context Management, Large Language Modeling, Vector Databases, Data Pipelines, Applied Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • E

    EDUCBA

    Apply Generative AI Integration and Deployment Strategies

    Skills you'll gain: AI Product Strategy, AI Security, Capacity Management

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    ML: Build, Train, Justify Models

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Decision Tree Learning, Report Writing

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build & Optimize TensorFlow ML Workflows

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Full-Stack AI and Mastering AI Agents Bootcamp

    Skills you'll gain: Generative AI Agents, Large Language Modeling, OpenAI, AI Workflows, Prompt Engineering, Document Management, Vector Databases, Software Installation

    Intermediate · Course · 1 - 3 Months

  • Status: AI Skills
    AI Skills
    I

    IBM

    IBM Back-End Development

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Open Web Application Security Project (OWASP), Istio, Linux Commands, Software Architecture, Application Deployment, Kubernetes, NoSQL, Bash (Scripting Language), Restful API, MongoDB, Shell Script, Django (Web Framework), Object-Relational Mapping, Git (Version Control System), Grafana, Microservices, Data Import/Export, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    53K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • S

    SAS

    Doing More with SAS Programming

    Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Processing, Data Integration, Data Cleansing, Statistical Programming, Data Analysis, Data Presentation, Descriptive Statistics, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    944 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Calibrate and Serve Confident AI Predictions: Coursera
  • ML Production Systems: Coursera
  • Advanced R Programming: Johns Hopkins University
  • Foundations of Probability and Statistics: University of Colorado Boulder
  • Understand RAG Basics: Coursera
  • Introduction to Neural Networks and PyTorch: IBM
  • Apply Generative AI Integration and Deployment Strategies: EDUCBA
  • ML: Build, Train, Justify Models: Coursera
  • Build & Optimize TensorFlow ML Workflows: Coursera
  • Full-Stack AI and Mastering AI Agents Bootcamp: Packt

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