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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: New
    New
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    Coursera

    Grasp Vector DB Basics

    Skills you'll gain: Vector Databases, Semantic Web, Database Theory, Database Design, Databases, NoSQL, Decision Making, Relational Databases, Data-Driven Decision-Making, Data Architecture, Stakeholder Communications, Business Analysis, Stakeholder Management, Persuasive Communication, Machine Learning Methods, System Design and Implementation

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    EDUCBA

    Analyze Predictor Impact Using Regression in Minitab

    Skills you'll gain: Data Analysis, Predictive Analytics, Case Studies, Statistical Visualization, Statistical Modeling

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Boost RAG with Chroma

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    EDUCBA

    Build Real-Time Face Recognition with OpenCV

    Skills you'll gain: System Design and Implementation, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Coursera

    Build Predictive & Supervised Models

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Business Metrics, Feature Engineering, Predictive Modeling, Random Forest Algorithm, Supervised Learning, Scikit Learn (Machine Learning Library), Data Preprocessing, Applied Machine Learning, Performance Metric, Regression Analysis, Continuous Monitoring, Statistical Methods, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Preview
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    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Data Store, Real Time Data, Machine Learning, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
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    1.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    Coursera

    Evaluating LLM Performance and Efficiency

    Skills you'll gain: Product Requirements, Prompt Engineering, Prompt Patterns, LLM Application, Process Mapping, MLOps (Machine Learning Operations), Operational Efficiency, Large Language Modeling, Model Evaluation, Process Optimization, Workflow Management, Cost Reduction, Cost Management, User Acceptance Testing (UAT), Vector Databases, Standard Operating Procedure, Key Performance Indicators (KPIs), Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    SQL Problem Solving

    Skills you'll gain: SQL, Data Quality, Complex Problem Solving, Data Visualization, JSON, Query Languages, Business Metrics, Business Reporting, Data Cleansing, Data Presentation, Forecasting, Data Analysis, Predictive Analytics, Debugging

    4.5
    Rating, 4.5 out of 5 stars
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    19 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    N

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)

    3.8
    Rating, 3.8 out of 5 stars
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    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Sequences, Time Series and Prediction

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Time Series Analysis and Forecasting, Applied Machine Learning, Convolutional Neural Networks, Deep Learning, Predictive Modeling, Data Preprocessing, Artificial Neural Networks, Forecasting, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    5.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Grasp Vector DB Basics: Coursera
  • Analyze Predictor Impact Using Regression in Minitab: EDUCBA
  • Boost RAG with Chroma: Coursera
  • Build Real-Time Face Recognition with OpenCV: EDUCBA
  • Build Predictive & Supervised Models: Coursera
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Feature Engineering: Google Cloud
  • Evaluating LLM Performance and Efficiency: Coursera
  • SQL Problem Solving: University of California, Davis
  • Probabilistic Graphical Models 1: Representation: Stanford 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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