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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: Preview
    Preview
    U

    University of California San Diego

    Code Free Data Science

    Skills you'll gain: Predictive Modeling, Data Manipulation, Predictive Analytics, Big Data, Data Mining, Data Analysis, Data Science, Data-Driven Decision-Making, Unsupervised Learning, Analytics, Data Analysis Software, Model Evaluation, No-Code Development, Software Installation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    217 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Analysis with Python Project

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Data Mining, Predictive Modeling, Model Evaluation, Regression Analysis, Decision Tree Learning, Statistical Methods, Project Planning, Logistic Regression

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Information Extraction in Python

    Skills you'll gain: ChatGPT, LLM Application, Machine Learning Methods, Model Training, Python Programming, Machine Learning Algorithms, Data Manipulation

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Data for Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Model Training, Data Validation, Data Cleansing, Data Ethics, Data Transformation, Model Optimization, Verification And Validation, Applied Machine Learning, Machine Learning, Responsible AI, Machine Learning Algorithms, Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    98 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    N

    Northeastern University

    Machine Learning in Healthcare: Fundamentals & Applications

    Skills you'll gain: Data Mining, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning Methods, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, AI Integrations, Random Forest Algorithm, Diagnostic Tests, Clinical Experience, Responsible AI, Deep Learning, Model Evaluation, Unsupervised Learning, Health Technology, Healthcare Industry Knowledge

    4.7
    Rating, 4.7 out of 5 stars
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    11 reviews

    Beginner · Course · 1 - 4 Weeks

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    I

    IBM

    데이터 과학이란 무엇인가?

    Skills you'll gain: Data Storytelling, Data Mining, Data Science, Data-Driven Decision-Making, Business Analytics, Big Data, Digital Transformation, Analytics, Regression Analysis, Apache Hadoop, Machine Learning, Deep Learning, Cloud Computing

    4.5
    Rating, 4.5 out of 5 stars
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    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 2

    Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Data Collection, Extensible Languages and XML, Application Programming Interface (API), Relational Databases

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Plot (Graphics), Data Visualization, Data Literacy, Statistical Methods, Data Science, Applied Machine Learning, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Processing, Analytics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
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    735 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Intermediate Data Manipulation and Machine Learning

    Skills you'll gain: Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Classification Algorithms, Reinforcement Learning, Machine Learning Methods, Model Training, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Dimensionality Reduction, Statistical Analysis, Supervised Learning, Unsupervised Learning, Data Preprocessing, Data Mining, Predictive Modeling, Random Forest Algorithm, Logistic Regression, Model Optimization, Data Manipulation

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Data Analysis Using Pyspark

    Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Presentation, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    318 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning Algorithms with Python in Business Analytics

    Skills you'll gain: Classification Algorithms, Business Analytics, Data Preprocessing, Analytics, Regression Analysis, Machine Learning Algorithms, Advanced Analytics, Applied Machine Learning, Scikit Learn (Machine Learning Library), Business Analysis, Unsupervised Learning, Machine Learning Methods, Predictive Modeling, Machine Learning, Python Programming, Decision Tree Learning, Supervised Learning

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Data Management for Analytics Part 1

    Skills you'll gain: Database Design, Database Theory, Database Systems, Data Modeling, Database Management Systems, Metadata Management, Database Management, Databases, Database Administration, Data Management, Relational Databases, Database Architecture and Administration, Unified Modeling Language, Data Governance, Data Integrity, Data Quality, Data Mapping, Dependency Analysis

    Build toward a degree

    Mixed · Course · 1 - 3 Months

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

  • Code Free Data Science: University of California San Diego
  • Data Analysis with Python Project : University of Colorado Boulder
  • Applied Information Extraction in Python: University of Michigan
  • Data for Machine Learning: Alberta Machine Intelligence Institute
  • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University
  • 데이터 과학이란 무엇인가?: IBM
  • Data Science Fundamentals Part 1: Unit 2: Pearson
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Intermediate Data Manipulation and Machine Learning: Packt
  • Data Analysis Using Pyspark: 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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