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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: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Business Transformation and Career Growth

    Skills you'll gain: Generative AI, AI Product Strategy, Leadership and Management, AI Enablement, Business Leadership, Strategic Leadership, Content Creation, Business Transformation, New Business Development, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    237 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Specialized Models: Time Series and Survival Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Deep Learning, Statistical Analysis, Predictive Modeling, Statistical Methods, Forecasting, Data Preprocessing, Jupyter, Applied Machine Learning, Data Transformation, Model Evaluation, Pandas (Python Package), Unsupervised Learning, Dimensionality Reduction

    4.5
    Rating, 4.5 out of 5 stars
    ·
    137 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Developing Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Generative AI, Artificial Intelligence, AI Product Strategy, Machine Learning, Model Evaluation, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    47 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Build RAG Applications: Get Started

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Prompt Engineering, Embeddings, Vector Databases

    4.5
    Rating, 4.5 out of 5 stars
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    109 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Unsupervised Algorithms in Machine Learning

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Science, Python Programming, Statistical Methods, Exploratory Data Analysis, Linear Algebra

    Build toward a degree

    3.6
    Rating, 3.6 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Google 데이터 애널리틱스 수료증 이수 과정

    Skills you'll gain: Data Storytelling, Data Cleansing, Rmarkdown, Data Presentation, Data Visualization, Analytical Skills, Tableau Software, Dashboard, Stakeholder Communications, Data Literacy, Data Integrity, Case Studies, Data Analysis, Spreadsheet Software, Data Ethics, Ggplot2, Data Visualization Software, Data-Driven Decision-Making, Data Validation, Database Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    46 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Deep Learning, Google Cloud Platform, Data Preprocessing, Feature Engineering, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    546 reviews

    Advanced · Course · 1 - 3 Months

  • 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 (普通话)

    Skills you'll gain: Statistical Methods, Statistical Modeling, SPSS (Software), Statistical Analysis, Exploratory Data Analysis, Regression Analysis, Data Analysis Software, Social Sciences, Correlation Analysis, Mathematical Modeling, Data Analysis, Model Evaluation, Dimensionality Reduction

    4.8
    Rating, 4.8 out of 5 stars
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    94 reviews

    Mixed · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Unit Testing, Docker (Software), Containerization, Kubernetes, AI Workflows, IBM Cloud, Microservices, Machine Learning, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Data Science, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    55 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering and Fine-Tuning Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Transfer Learning, PyTorch (Machine Learning Library), Performance Tuning, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    99 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Generative AI: Business Transformation and Career Growth: IBM
  • Specialized Models: Time Series and Survival Analysis: IBM
  • Developing Explainable AI (XAI): Duke University
  • Build RAG Applications: Get Started: IBM
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Unsupervised Algorithms in Machine Learning: University of Colorado Boulder
  • Google 데이터 애널리틱스 수료증 이수 과정: Google
  • Computer Vision Fundamentals with Google Cloud: Google Cloud
  • Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话): The Chinese University of Hong Kong
  • AI Workflow: AI in Production: 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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