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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
    U

    University of Michigan

    Data Collection: Online, Telephone and Face-to-face

    Skills you'll gain: Surveys, Interviewing Skills, Data Collection, Sampling (Statistics), Unstructured Data, Research Methodologies, Qualitative Research, Data Validation, Data Quality, Text Mining

    4.6
    Rating, 4.6 out of 5 stars
    ·
    353 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    From Data to Decisions: Getting Started with AI

    Skills you'll gain: Generative AI, Data Literacy, Data-Driven Decision-Making, Data Analysis, Exploratory Data Analysis, Descriptive Statistics, Prompt Engineering, Analytical Skills, Artificial Intelligence, Probability & Statistics, Decision Making

    4.5
    Rating, 4.5 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Geneva

    Data-Oriented C++ in Scientific Programming

    Skills you'll gain: Data-oriented programming, Operating Systems, Simulation and Simulation Software

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Calculus through Data & Modeling: Differentiation Rules

    Skills you'll gain: Calculus, Applied Mathematics, Trigonometry, Mathematical Modeling, Algebra, Derivatives, Geometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    117 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Advanced Data Techniques for Enterprise AI Systems

    Skills you'll gain: Vector Databases, Data Strategy, Data Management, Data Architecture, Data Security, Data Governance, Generative AI Agents, Metadata Management, Data Ethics, Interoperability, Data Store, Retrieval-Augmented Generation, Embeddings, Taxonomy, Data Storage, Data Processing, Large Language Modeling, Machine Learning, Zero Trust Network Access, Agentic systems

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution, Calculus

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Preprocessing, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Real-time data visualization dashboard using Node-red

    Skills you'll gain: Dashboard, Data Preprocessing, Data Visualization Software, Real Time Data, Node.JS, Data Analysis, Application Programming Interface (API), Web Development Tools, JSON, Javascript

    4.3
    Rating, 4.3 out of 5 stars
    ·
    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Algorithms, Data Collection, and Starting to Code

    Skills you'll gain: Computational Thinking, Data Collection, Microsoft Visual Studio, Program Development, C (Programming Language), Programming Principles, Algorithms, Data Storage, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    377 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 1: Least Squares

    Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives

    4.5
    Rating, 4.5 out of 5 stars
    ·
    190 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Parse & Normalize Data for ML Pipelines

    Skills you'll gain: Data Preprocessing, Data Pipelines, Java, Data Processing, Feature Engineering, Data Cleansing, Data Quality, Data Transformation, Data Validation, Data Access, Continuous Monitoring, Unit Testing, Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Collection: Online, Telephone and Face-to-face: University of Michigan
  • From Data to Decisions: Getting Started with AI: Vanderbilt University
  • Data-Oriented C++ in Scientific Programming: University of Geneva
  • Calculus through Data & Modeling: Differentiation Rules: Johns Hopkins University
  • Advanced Data Techniques for Enterprise AI Systems: Fractal Analytics
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • Real-time data visualization dashboard using Node-red: Coursera
  • Algorithms, Data Collection, and Starting to Code: University of Colorado System

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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