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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: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Advanced Analytics Techniques with Generative AI

    Skills you'll gain: Logistic Regression, Web Scraping, Prompt Engineering, Rmarkdown, Regression Analysis, Responsible AI, Leaflet (Software), Generative AI, Statistical Modeling, Statistics, Statistical Analysis, Data Ethics, Applied Machine Learning, Root Cause Analysis, AI Product Strategy, AI Enablement, AI Integrations, AI Personalization, AI Orchestration, AI Workflows

    4.6
    Rating, 4.6 out of 5 stars
    ·
    87 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Connect and Protect: Networks and Network Security

    Skills you'll gain: Network Security, Hardening, Network Protocols, Cloud Security, Network Architecture, Intrusion Detection and Prevention, TCP/IP, Vulnerability Assessments, Computer Networking, Cybersecurity, General Networking, Network Model, Network Infrastructure, Firewall, Security Controls, Cloud Computing, Virtual Private Networks (VPN)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Machine Learning Aplicado ao Marketing

    Skills you'll gain: Data-Driven Marketing, Big Data, Data Mining, Data-Driven Decision-Making, Marketing Automation, Marketing Strategies, Data Strategy, Customer experience strategy (CX), Digital Transformation, Data Engineering, Marketing Analytics, Marketing, MarTech, Analytics, Data Science, Innovation, Digital Brand Strategy, Applied Machine Learning, Data Processing, Marketing Effectiveness

    4.3
    Rating, 4.3 out of 5 stars
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    62 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Applied Machine Learning, Bayesian Statistics, Supervised Learning, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    722 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Advanced Fine-Tuning for LLMs

    Skills you'll gain: Fine-tuning, Generative AI, Reinforcement Learning, Large Language Modeling, Generative Model Architectures, Machine Learning Methods, Model Optimization, Model Training, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    135 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Generative AI: Fundamentals, Applications, and Challenges

    Skills you'll gain: Generative AI, Responsible AI, AI literacy, Risking, AI Security, Social Impact, Intellectual Property, Leadership and Management, Data Quality

    4.7
    Rating, 4.7 out of 5 stars
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    214 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Getting started with ImageJ

    Skills you'll gain: Image Analysis, Image Quality, Data Analysis Software, Software Installation, Data Analysis, Analysis, Scientific Visualization, Data Processing

    4.4
    Rating, 4.4 out of 5 stars
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    63 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Fundamentals of Quantitative Modeling

    Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Data Modeling, Business Analysis, Predictive Modeling, Forecasting, Predictive Analytics, Statistical Methods, Simulation and Simulation Software, Probability, Model Optimization, Logistic Regression, Probability Distribution, Vocabulary

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Applied Machine Learning, Markov Model

    4.8
    Rating, 4.8 out of 5 stars
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    79 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Tools: MLflow and Hugging Face

    Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, Docker (Software), Microsoft Azure, Continuous Deployment, Cloud Computing, Machine Learning Software, GitHub

    3.8
    Rating, 3.8 out of 5 stars
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    69 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Introduction to Programming with MATLAB

    Skills you'll gain: File I/O, Matlab, Programming Principles, Functional Design, Computer Programming, Code Reusability, Program Development, Computational Logic, Computer Science, Data Import/Export, Mathematical Software, C (Programming Language), Debugging, Computer Programming Tools, File Management, Data Structures, Data Persistence, Plot (Graphics), Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Machine Learning, Machine Learning Software, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Market Data, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
    ·
    345 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Microsoft Advanced Analytics Techniques with Generative AI: Microsoft
  • Connect and Protect: Networks and Network Security: Google
  • Machine Learning Aplicado ao Marketing: Fundação Instituto de Administração
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Generative AI Advanced Fine-Tuning for LLMs: IBM
  • Generative AI: Fundamentals, Applications, and Challenges: University of Michigan
  • Getting started with ImageJ: Coursera
  • Fundamentals of Quantitative Modeling: University of Pennsylvania
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • MLOps Tools: MLflow and Hugging Face: Duke University

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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