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    • Data Modeling

    Data Modeling Courses Online

    Learn data modeling techniques for structuring data. Understand how to create logical and physical data models for database design.

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    Explore the Data Modeling Course Catalog

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Quick Start Guide to Large Language Models (LLMs)

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, Natural Language Processing, Generative AI Agents, OpenAI, Generative AI, Semantic Web, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, MLOps (Machine Learning Operations), Cost Management, Deep Learning, PyTorch (Machine Learning Library), Application Deployment, Artificial Intelligence, Cloud Computing, Performance Tuning, Reinforcement Learning, Machine Learning

      Intermediate · Specialization · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Maximize Productivity With AI Tools

      Skills you'll gain: Business Workflow Analysis, Generative AI, Process Optimization, Productivity Software, Operational Efficiency, Complex Problem Solving

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      R

      Real Madrid Graduate School Universidad Europea

      AI in Sports: The Approach of a Club

      Skills you'll gain: Artificial Intelligence, Performance Analysis, Automation, Personalized Service, Digital Transformation, Augmented and Virtual Reality (AR/VR), Technology Strategies, Innovation, Internet Of Things, Machine Learning, Big Data, Ethical Standards And Conduct, Deep Learning, Analytical Skills, Predictive Analytics, Health Technology, Data Analysis, Natural Language Processing, User Experience, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing in TensorFlow

      Skills you'll gain: Tensorflow, Natural Language Processing, Generative AI, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Machine Learning, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      S

      Simplilearn

      Introduction to Long Short Term Memory (LSTM) Training

      Skills you'll gain: Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Unsupervised Learning, Recommenders, Reinforcement Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Reinforcement Learning, Statistical Machine Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, Collaborative Software

      4.9
      Rating, 4.9 out of 5 stars
      ·
      5.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      C

      Coursera

      Collaborate and Code: GitHub with Python and Jupyter

      Skills you'll gain: Version Control, GitHub, Jupyter, Git (Version Control System), Generative AI, Software Documentation, Technical Documentation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      DeepSeek R1 AI: 25 Real World Projects in AI for Beginners

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Analytics, Job Analysis, Grammar, Customer Support, Debugging

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      GIS, Mapping, and Spatial Analysis

      Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Typography, Data Manipulation, Data Processing, Data Storytelling, Design Elements And Principles, Image Analysis, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      The R Programming Environment

      Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Data Science, Big Data, Text Mining, Data Import/Export, Programming Principles, Data Structures, Performance Tuning, Debugging, Application Programming Interface (API)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.8K reviews

      Intermediate · Course · 1 - 3 Months

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

    • Quick Start Guide to Large Language Models (LLMs): Pearson
    • Maximize Productivity With AI Tools: Google
    • AI in Sports: The Approach of a Club: Real Madrid Graduate School Universidad Europea
    • Probabilistic Graphical Models: Stanford University
    • Natural Language Processing in TensorFlow: DeepLearning.AI
    • Introduction to Long Short Term Memory (LSTM) Training: Simplilearn
    • Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
    • Collaborate and Code: GitHub with Python and Jupyter: Coursera
    • DeepSeek R1 AI: 25 Real World Projects in AI for Beginners: Packt
    • GIS, Mapping, and Spatial Analysis: University of Toronto

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

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