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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.


Popular Data Mining Courses and Certifications


  • Status: New
    New
    P

    Packt

    Modern Deep Learning Foundations

    Skills you'll gain: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Linear Regression and Modeling

    Skills you'll gain: Regression Analysis, R (Software), Statistical Programming, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Model Evaluation, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics, Statistical Hypothesis Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.8K reviews

    Beginner · Course · 1 - 4 Weeks

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

    Coursera

    Evaluating LLM Performance and Efficiency

    Skills you'll gain: Product Requirements, Prompt Engineering, Prompt Patterns, LLM Application, Product Lifecycle Management, Process Design, Process Mapping, Token Optimization, User Requirements Documents, MLOps (Machine Learning Operations), Operational Efficiency, Business Process Automation, Product Management, Large Language Modeling, Model Optimization, Process Driven Development, Cost Containment, Process Optimization, Key Performance Indicators (KPIs), Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Decision Intelligence, Bayesian Statistics, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Dependency Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Machine Learning Methods, Image Analysis, Applied Machine Learning, Autoencoders, Model Training, Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

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

    Coursera

    Excel Formulas for Peak Performance

    Skills you'll gain: Excel Formulas, Consolidation, Microsoft Excel, Model Optimization, Spreadsheet Software, Performance Tuning, Process Optimization, Performance Improvement, Financial Modeling, Performance Analysis

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Doing More with SAS Programming

    Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Wrangling, Data Processing, Data Integration, Statistical Programming, Data Analysis, Data Presentation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    944 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Probabilistic Models

    Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Data Cleansing, Probability & Statistics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Sports Performance Analytics

    Skills you'll gain: Logistic Regression, Forecasting, Statistical Methods, Exercise Science, Regression Analysis, Plot (Graphics), Data Cleansing, Scikit Learn (Machine Learning Library), Supervised Learning, Data Processing, Statistical Hypothesis Testing, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Injury Prevention, Athletic Training, Analytics, People Analytics, Data Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    280 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Essential Design Principles for Tableau

    Skills you'll gain: Data Visualization, Data Visualization Software, Tableau Software, Data Storytelling, Data Presentation, Exploratory Data Analysis, Visual Design, Statistical Visualization, Graphic and Visual Design, Design Elements And Principles, Data Analysis, Color Theory, Data Ethics, Statistical Analysis, Anomaly Detection, User Centered Design, Human Factors, Aesthetics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Agentic systems, Feature Engineering, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Decision Intelligence, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Specialization · 3 - 6 Months

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

  • Modern Deep Learning Foundations: Packt
  • Linear Regression and Modeling : Duke University
  • Evaluating LLM Performance and Efficiency: Coursera
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Excel Formulas for Peak Performance: Coursera
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Doing More with SAS Programming: SAS
  • Natural Language Processing with Probabilistic Models: DeepLearning.AI
  • Sports Performance Analytics: University of Michigan

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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