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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


  • I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    Sequence Models

    Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Artificial Neural Networks, Embeddings, Large Language Modeling, Deep Learning, Transfer Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31K reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Structuring Machine Learning Projects

    Skills you'll gain: Transfer Learning, Deep Learning, Applied Machine Learning, Machine Learning, MLOps (Machine Learning Operations), Debugging, AI Product Strategy, Model Evaluation, Data-Driven Decision-Making, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    50K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of California, Davis

    Geographic Information Systems (GIS)

    Skills you'll gain: ArcGIS, GIS Software, Spatial Analysis, Data Storytelling, Spatial Data Analysis, Geographic Information Systems, Data Presentation, Geospatial Information and Technology, Geospatial Mapping, Public Health and Disease Prevention, Data Sharing, Public Health, Land Management, Heat Maps, Epidemiology, Community Health, Image Analysis, Project Management, Data Visualization Software, Data Quality

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.5K reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, AI Workflows, Context Management, Decision Making

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.8K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidad Austral

    Fundamentos de Excel para Negocios

    Skills you'll gain: Microsoft Excel, Spreadsheet Software, Excel Formulas, Data Analysis, Data Visualization, Data Entry, Productivity Software, Presentations, Data Management, Financial Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.5K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Data Preprocessing, Deep Learning, Computer Vision, Application Development, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Text Mining, Python Programming, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • 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

  • I

    IBM

    Key Technologies for Business

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Responsible AI, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Computing, Cloud Storage, Generative AI, Infrastructure As A Service (IaaS), Big Data, Data Analysis, Data Science, Natural Language Processing, Robotics, Business Logic, Business

    4.7
    Rating, 4.7 out of 5 stars
    ·
    106K reviews

    Beginner · Specialization · 3 - 6 Months

  • V

    Vanderbilt University

    AI Agents and Agentic AI in Python: Powered by Generative AI

    Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, AI Orchestration, Prompt Patterns, LangChain, OpenAI API, AI Workflows, LLM Application, Productivity, OpenAI, AI Enablement, Agentic systems, Generative AI, Artificial Intelligence, Large Language Modeling, AI Security, Tool Calling, Creativity, Application Development

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    DeepLearning.AI TensorFlow Developer

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Computer Vision, Model Evaluation, Transfer Learning, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Embeddings, Artificial Neural Networks, Generative AI, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Data Preprocessing, Forecasting, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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

  • IBM Introduction to Machine Learning: IBM
  • Sequence Models: DeepLearning.AI
  • Convolutional Neural Networks: DeepLearning.AI
  • Structuring Machine Learning Projects: DeepLearning.AI
  • Geographic Information Systems (GIS): University of California, Davis
  • Generative AI: Prompt Engineering Basics: IBM
  • Fundamentos de Excel para Negocios: Universidad Austral
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Applied Machine Learning in Python: University of Michigan
  • Key Technologies for Business: 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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