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  • Data Modeling

Data Modeling Courses

Data modeling courses can help you learn how to create data structures, define relationships between data elements, and ensure data integrity. You can build skills in normalization, schema design, and data visualization techniques. Many courses introduce tools like SQL for database management, ERD tools for visualizing data relationships, and software like Tableau for data analysis, showing how these skills are applied in practical work.


Popular Data Modeling Courses and Certifications


  • C

    Coursera

    Crunch Vectors with GeoPandas

    Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Data Validation, Geospatial Information and Technology, Geostatistics, Data Wrangling, Geometric Dimensioning And Tolerancing

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Computer Vision, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Data Preprocessing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    8.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Fundamentals of Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    User Segmentation, Experimentation, and Retention Analytics

    Skills you'll gain: Customer Retention, Customer Analysis, Marketing Analytics, Customer Insights, Sample Size Determination, Analytics, User Research, Product Management, Trend Analysis, Data-Driven Decision-Making, Statistical Inference, Business Intelligence, Unsupervised Learning, Analysis, Statistical Analysis, Performance Measurement, Scikit Learn (Machine Learning Library), Strategic Decision-Making, Algorithms

    Intermediate · Course · 1 - 3 Months

  • N

    Northeastern University

    Economic Decision Making Part 2

    Skills you'll gain: Depreciation, Risk Analysis, Actuarial Science, Portfolio Risk, Value Engineering, Cost Benefit Analysis, Strategic Decision-Making, Decision Tree Learning, Operational Analysis, Financial Analysis, Capital Budgeting, Tax Management, Decision Making, Analysis, Data-Driven Decision-Making, Capital Expenditure, Feasibility Studies, Estimation, Income Tax, Economics

    Mixed · Course · 1 - 3 Months

  • M

    Microsoft

    Deploy and Maintain Power BI Assets and Capstone project

    Skills you'll gain: Power BI, Dashboard, SQL, Microsoft SQL Servers, Data Security, Data Analysis, Data Visualization Software, Data Modeling, Data Management, Role-Based Access Control (RBAC)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    297 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Vector DB Foundations, Embeddings & Search Algorithms

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Data-Driven Decision-Making, LLM Application, Data Flow Diagrams (DFDs), Semantic Web, Database Theory, Prompt Engineering, Database Design, NumPy, Databases, Generative AI, Data Analysis, NoSQL, Model Evaluation, PyTorch (Machine Learning Library), Simulations, Data-oriented programming, Python Programming

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google

    Design Prompts for Everyday Work Tasks

    Skills you'll gain: Prompt Engineering, Brainstorming, Email Automation, AI Enablement, Concision, Large Language Modeling, Business Writing, Productivity, Organizational Skills

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    JetBrains

    Python: Mastering NumPy Essentials

    Skills you'll gain: NumPy, Python Programming, Linear Algebra, Numerical Analysis, Data Manipulation, Integrated Development Environments, Data Science, Data Management, Software Development Tools, Software Development, Machine Learning, Engineering, Scientific, and Technical Instruments

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Process Images & Extract Motion Features

    Skills you'll gain: Data Preprocessing, Computer Vision, Image Analysis, Real Time Data, Convolutional Neural Networks, Data Transformation, NumPy

    Intermediate · Course · 1 - 4 Weeks

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

  • Crunch Vectors with GeoPandas: Coursera
  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • Applied Machine Learning in Python: University of Michigan
  • Fundamentals of Machine Learning: Packt
  • User Segmentation, Experimentation, and Retention Analytics: Coursera
  • Economic Decision Making Part 2: Northeastern University
  • Deploy and Maintain Power BI Assets and Capstone project: Microsoft
  • Vector DB Foundations, Embeddings & Search Algorithms: Coursera
  • Design Prompts for Everyday Work Tasks: Google

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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