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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
    U

    University of California, Davis

    Computational Social Science Methods

    Skills you'll gain: Social Network Analysis, Social Sciences, Network Analysis, Data Science, Machine Learning, Machine Learning Methods, Computational Thinking, Economics, Policy, and Social Studies, Artificial Intelligence, Data Analysis, Social Impact, Simulations, Big Data, Data Collection, Scientific Methods, Digital Analysis, Digital Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    357 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    The Unix Workbench

    Skills you'll gain: GitHub, Unix Shell, Unix, Git (Version Control System), Unix Commands, Version Control, Bash (Scripting Language), grep, Cloud Hosting, Ubuntu, Command-Line Interface, Cloud Computing, Shell Script, Linux, Mac OS, Scripting, Scripting Languages, File Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Product Owners

    Skills you'll gain: Prompt Engineering, AI Product Strategy, Prompt Patterns, ChatGPT, Responsible AI, Generative AI, Data Ethics, Risking, Google Gemini, Product Management, Decision Intelligence, AI literacy, AI Enablement, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Product Development, Augmented and Virtual Reality (AR/VR), Model Evaluation, Machine Learning, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Neurohacking In R

    Skills you'll gain: Magnetic Resonance Imaging, Medical Imaging, Image Analysis, Data Manipulation, R (Software), Neurology, R Programming, Radiology, Image Quality, Data Processing, Software Visualization, Scientific Visualization, Data Preprocessing, Data Transformation, Data Import/Export, Package and Software Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    316 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, Model Training, DevOps, Cloud Deployment, Devops Tools, Continuous Deployment, CI/CD, AI Workflows, Automation

    4
    Rating, 4 out of 5 stars
    ·
    487 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Houston

    Math behind Moneyball

    Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Statistical Modeling, Advanced Analytics, Data-Driven Decision-Making, Data Analysis, Analytics, Data Analysis Software, Simulations, Probability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    97 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Amsterdam

    Inferential Statistics

    Skills you'll gain: Regression Analysis, Statistical Inference, Statistics, Correlation Analysis, Statistical Programming, Statistical Modeling, Logistic Regression, Predictive Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    612 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Generative Model Architectures, Convolutional Neural Networks, Responsible AI, Data Ethics, Model Training, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    548 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Creating Advanced Reports with SAS Visual Analytics

    Skills you'll gain: SAS (Software), Business Analytics, Business Reporting, Interactive Data Visualization, Data Visualization Software, Data Analysis, Advanced Analytics, Data Manipulation, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
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    215 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    839 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    King Abdullah University of Science and Technology

    Fundamental Skills in Bioinformatics

    Skills you'll gain: Statistical Analysis, Bioinformatics, Unix, Scientific Visualization, Statistical Programming, R (Software), Unix Shell, R Programming, Rmarkdown, Unix Commands, Data Analysis, Data Quality, Statistical Hypothesis Testing, Exploratory Data Analysis, Data Visualization, Data Cleansing, Programming Principles, Pandas (Python Package), Python Programming, NumPy

    4.4
    Rating, 4.4 out of 5 stars
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    93 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    315 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Computational Social Science Methods: University of California, Davis
  • The Unix Workbench: Johns Hopkins University
  • Generative AI for Product Owners: IBM
  • Introduction to Neurohacking In R: Johns Hopkins University
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • Math behind Moneyball: University of Houston
  • Inferential Statistics: University of Amsterdam
  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • Creating Advanced Reports with SAS Visual Analytics: SAS
  • Supervised Machine Learning: Regression: 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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