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  • Data Mining

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


  • C

    Coursera

    Optimize with GA & RL

    Skills you'll gain: Reinforcement Learning, Inventory Management System, Supply Chain, Operations Research, Supply Chain Management, Process Optimization, Data-Driven Decision-Making, Process Analysis, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Decision Making, Simulations, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models

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

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

    Advanced · Specialization · 3 - 6 Months

  • K

    KodeKloud

    ML Model Development and Tracking: Hands-on Guide

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Test Data, Model Evaluation, Data Synthesis, Development Environment, Claims Processing, Performance Tuning, Applied Machine Learning, Computer Hardware

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidad Austral

    Estadística aplicada a los negocios

    Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Risk Analysis, Business Risk Management, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    776 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Pragmatic AI Labs

    GitHub: Evaluating and Integrating AI Models

    Skills you'll gain: Responsible AI, Model Evaluation, GitHub, Application Programming Interface (API), AI Enablement, Generative AI, Development Environment, API Design, LLM Application, Cloud Development, Microsoft Azure, Scalability, Authentications, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply Generative AI to Build a Powerful Personal Brand

    Skills you'll gain: Performance Analysis, Brand Awareness, AI Enablement, Storytelling, Content Development and Management, Multimedia, Prompt Engineering, Data Storytelling, Creativity, Search Engine Optimization, Emerging Technologies, Visionary, Professional Networking

    Beginner · Course · 1 - 3 Months

  • S

    Starweaver

    GenAI in Healthcare & Life Sciences

    Skills you'll gain: Clinical Documentation, Medical Imaging, ChatGPT, Generative AI, Clinical Trials, Precision Medicine, Health Insurance Portability And Accountability Act (HIPAA) Compliance, AI Personalization, Health Care Procedure and Regulation, Patient-centered Care, Health Informatics, Radiology, Clinical Research, Patient Education And Counseling, Decision Support Systems, Artificial Intelligence, Science and Research, Healthcare Ethics, Digital Transformation, Ethical Standards And Conduct

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Analyze and Manage Hallucinations in Generative AI

    Skills you'll gain: Generative AI, LLM Application, AI Enablement, Prompt Engineering, Responsible AI, Model Evaluation, Data Quality, Verification And Validation, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • 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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Statistical Methods, Logistic Regression, Tensorflow, Artificial Neural Networks, Probability & Statistics, Regression Analysis, Model Evaluation, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning in the Enterprise

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Google Cloud Platform, AI Workflows, Data Management, Data Governance, Tensorflow, Data Preprocessing, Data Pipelines, Machine Learning, Predictive Modeling, Model Evaluation, Cloud Computing, Data Transformation

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

    Intermediate · Course · 1 - 3 Months

  • Status: Top AI Program
    Top AI Program
    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Software Architecture, Computer Vision, LangChain, ChatGPT, Restful API, Responsive Web Design, Generative AI, Responsible AI, IBM Cloud, Data Ethics, Data Import/Export, AI Workflows, Python Programming, Engineering Software, Machine Learning, Data Science

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    81K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

  • Optimize with GA & RL: Coursera
  • Probabilistic Graphical Models: Stanford University
  • ML Model Development and Tracking: Hands-on Guide: KodeKloud
  • Estadística aplicada a los negocios: Universidad Austral
  • GitHub: Evaluating and Integrating AI Models: Pragmatic AI Labs
  • Apply Generative AI to Build a Powerful Personal Brand: EDUCBA
  • GenAI in Healthcare & Life Sciences: Starweaver
  • Analyze and Manage Hallucinations in Generative AI: EDUCBA
  • SQL Problem Solving: University of California, Davis
  • Introduction to Neural Networks and PyTorch: IBM

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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