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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

    Plots Creation using Matplotlib Python

    Skills you'll gain: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Import/Export, Histogram, Python Programming, Data Manipulation, Data Analysis, Data Structures

    3.9
    Rating, 3.9 out of 5 stars
    ·
    9 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning for Kyphosis Disease Classification

    Skills you'll gain: Feature Engineering, Data Visualization Software, Data Cleansing, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Data Manipulation, Data Preprocessing, Data Science, Machine Learning, Model Evaluation, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    13 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    T

    The Chinese University of Hong Kong

    Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)

    Skills you'll gain: Model Evaluation, Statistical Modeling, Statistical Analysis, SPSS (Software), SAS (Software), Statistical Methods, Correlation Analysis, Regression Analysis, Data Analysis Software, Data Manipulation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Mixed · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Sentiment Analysis with Deep Learning using BERT

    Skills you'll gain: Model Evaluation, Data Preprocessing, PyTorch (Machine Learning Library), Transfer Learning, Model Deployment, Performance Tuning, Deep Learning, Natural Language Processing, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    398 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Probability Theory and Regression for Predictive Analytics

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Random Models, Nested and Split-plot Designs

    Skills you'll gain: Statistical Analysis, Regression Analysis, Sampling (Statistics), Statistical Modeling, Statistical Methods, Data Analysis Software, Data Transformation, Statistical Hypothesis Testing, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Applied Machine Learning with Python

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Data Analysis, Driving engagement

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Washington

    Machine Teaching for Autonomous AI

    Skills you'll gain: Data Storytelling, Automation, Decision Support Systems, User Story, AI Product Strategy, Human Machine Interfaces, Artificial Intelligence, Machine Learning, Data-Driven Decision-Making, Innovation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    47 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for UX Designers

    Skills you'll gain: User Experience Design, Wireframing, User Research, Responsible AI, User Centered Design, AI Product Strategy, Usability, Adobe XD, Usability Testing, Generative AI, Figma (Design Software), Design Thinking, Prototyping, User Interface (UI) Design, Persona Development

    4.2
    Rating, 4.2 out of 5 stars
    ·
    109 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Copywriting with ChatGPT: Produce Compelling Copy That Sells

    Skills you'll gain: Copywriting, User Research, Target Audience, Prompt Engineering, ChatGPT, Writing and Editing, Marketing Materials, Product Knowledge, Value Propositions, Marketing Communications

    4.6
    Rating, 4.6 out of 5 stars
    ·
    74 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis

    4
    Rating, 4 out of 5 stars
    ·
    10 reviews

    Beginner · Specialization · 1 - 3 Months

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

  • Plots Creation using Matplotlib Python: Coursera
  • Machine Learning for Kyphosis Disease Classification: Coursera
  • Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语): The Chinese University of Hong Kong
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • Sentiment Analysis with Deep Learning using BERT: Coursera
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • Random Models, Nested and Split-plot Designs: Arizona State University
  • Applied Machine Learning with Python: Edureka
  • Machine Teaching for Autonomous AI: University of Washington
  • GenAI for UX Designers: Coursera

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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