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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.


Popular Data Mining Courses and Certifications


  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Experimental Design Basics

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Hypothesis Testing, Design Strategies, Probability & Statistics, Statistical Modeling, Descriptive Statistics, Quality Control, Variance Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    310 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Introduction to Machine Learning: Supervised Learning

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Model Evaluation, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Data Science, Random Forest Algorithm, Python Programming, Data Preprocessing, NumPy, Regression Analysis, Data Analysis, Feature Engineering, Logistic Regression, Performance Tuning

    Build toward a degree

    3.3
    Rating, 3.3 out of 5 stars
    ·
    86 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Practical Predictive Analytics: Models and Methods

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Analysis, R Programming, Statistical Methods, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Classification Algorithms, Probability & Statistics, Big Data

    4.1
    Rating, 4.1 out of 5 stars
    ·
    323 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Neural Networks and PyTorch

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

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning Capstone

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    191 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Model Deployment, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.3
    Rating, 4.3 out of 5 stars
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    337 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    B

    Board Infinity

    Prepare for SnowPro Core Exam: Architecture & SQL

    Skills you'll gain: Performance Tuning, Data Architecture, User Accounts, Data Warehousing, SQL, Database Management, Data Modeling, Data Transformation, Data Import/Export, Data Integration, Role-Based Access Control (RBAC), Data Governance, JSON, Data Security

    3
    Rating, 3 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    495 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    OpenAI GPTs: Creating Your Own Custom AI Assistants

    Skills you'll gain: Generative AI, AI Personalization, ChatGPT, OpenAI, Artificial Intelligence, Prompt Engineering, LLM Application, Expense Management, Productivity Software, Verification And Validation, Travel Arrangements, Test Case, Interaction Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    725 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Python NLTK for Beginners: Customer Satisfaction Analysis

    Skills you'll gain: Text Mining, Unstructured Data, Data Analysis, Natural Language Processing, Pandas (Python Package), Data Manipulation, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    P

    Pontificia Universidad Católica del Perú

    Analítica y ciencia de datos para negocios

    Skills you'll gain: Data Preprocessing, Business Analytics, Dimensionality Reduction, Analytics, Data Cleansing, Anomaly Detection, Project Management Life Cycle, Databases, R (Software), Feature Engineering, R Programming, Data Analysis, Data Quality, Data Science, Big Data, Exploratory Data Analysis, Statistical Programming, Supervised Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    65 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Sample-based Learning Methods

    Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 3 Months

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

  • Experimental Design Basics: Arizona State University
  • Introduction to Machine Learning: Supervised Learning: University of Colorado Boulder
  • Practical Predictive Analytics: Models and Methods: University of Washington
  • Introduction to Neural Networks and PyTorch: IBM
  • Machine Learning Capstone: IBM
  • Python Essentials for MLOps: Duke University
  • Prepare for SnowPro Core Exam: Architecture & SQL: Board Infinity
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • OpenAI GPTs: Creating Your Own Custom AI Assistants: Vanderbilt University
  • Python NLTK for Beginners: Customer Satisfaction Analysis: Coursera

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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