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Data Mining Courses

Data mining courses can help you learn data preprocessing, pattern recognition, and predictive modeling techniques. You can build skills in clustering, classification, and anomaly detection, that support extracting meaningful insights from large datasets. Many courses introduce tools like Python, R, and SQL, along with software such as RapidMiner and Weka, to help you apply these skills in real-world data analysis projects.


More to explore:

Popular Data Mining Courses and Certifications


  • Status: Preview
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    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Model Evaluation, Logistic Regression, Theoretical Computer Science, Classification Algorithms, Mathematical Theory & Analysis, Probability & Statistics, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    680 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Project: Generative AI Applications with RAG and LangChain

    Skills you'll gain: Vector Databases, LLM Application, Retrieval-Augmented Generation, Generative AI, Embeddings, Document Management, Natural Language Processing, User Interface (UI)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    183 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Deep Learning

    Skills you'll gain: Deep Learning, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Unsupervised Learning, Generative Adversarial Networks (GANs), Autoencoders, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Natural Language Processing, Applied Machine Learning, Model Evaluation, Performance Tuning

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    36 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Master Retrieval-Augmented Generation (RAG) Systems

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Large Language Modeling, Prompt Engineering, Data Visualization, Generative AI, Vector Databases, Text Mining, Data Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Model Evaluation, Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Random Forest Algorithm, Decision Tree Learning, Supervised Learning, Logistic Regression, Classification Algorithms

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Medical Insurance Premium Prediction with Machine Learning

    Skills you'll gain: Data Visualization, Keras (Neural Network Library), Data Preprocessing, Artificial Neural Networks, Interactive Data Visualization, Predictive Modeling, Tensorflow, Applied Machine Learning, Feature Engineering, Data Science, Predictive Analytics, Data Manipulation, Machine Learning, Model Evaluation, Regression Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    SAS

    Preparing for the SAS Programming Certification Exam

    Skills you'll gain: Data Manipulation, Data Access, Data Import/Export, SAS (Software), Microsoft Excel, Data Analysis, Statistical Programming, Data Preprocessing, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    140 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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
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    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Tools: MLflow and Hugging Face

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, DevOps, Docker (Software), Microsoft Azure, Cloud Computing, Machine Learning Software, Transfer Learning, Model Evaluation, GitHub

    3.7
    Rating, 3.7 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Mastering Advanced Pivot Tables in Excel

    Skills you'll gain: Pivot Tables And Charts, Microsoft Excel, Dashboard, Data Presentation, Business Reporting, Interactive Data Visualization, Data Visualization Software, Excel Formulas, Data Import/Export, Data Cleansing, Data Transformation, Data Analysis, Timelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    GPT Vision: Seeing the World through Generative AI

    Skills you'll gain: Generative AI, Expense Reports, Image Analysis, Expense Management, Organizational Skills, Computer Vision, Data Storytelling, Project Controls, Social Media Content, Artificial Intelligence, Photography, Prompt Engineering, Cooking

    4.9
    Rating, 4.9 out of 5 stars
    ·
    220 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • 機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations: National Taiwan University
  • Guided Tour of Machine Learning in Finance: New York University
  • Project: Generative AI Applications with RAG and LangChain: IBM
  • Introduction to Deep Learning: University of Colorado Boulder
  • Master Retrieval-Augmented Generation (RAG) Systems: Packt
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University
  • Medical Insurance Premium Prediction with Machine Learning: Coursera
  • Preparing for the SAS Programming Certification Exam : SAS
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • MLOps Tools: MLflow and Hugging Face: Duke University

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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