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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.


More to explore:

Popular Data Mining Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Developing Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, AI Security, Generative AI, Artificial Intelligence, AI Product Strategy, Machine Learning, Model Evaluation, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    47 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad de los Andes

    Fundamentos de estadística aplicada

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference

    4.5
    Rating, 4.5 out of 5 stars
    ·
    139 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Network Analysis for Marketing Analytics

    Skills you'll gain: Network Analysis, Social Network Analysis, Marketing Analytics, Unstructured Data, Semantic Web, Statistical Methods, Text Mining, Data Structures, JSON, Natural Language Processing, Data Visualization Software, Python Programming

    Build toward a degree

    2.8
    Rating, 2.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    U

    University of California San Diego

    مقدمة عن البيانات الضخمة

    Skills you'll gain: Apache Hadoop, Big Data, Data Science, Scalability, Data Processing, Data Analysis, Distributed Computing, Data Quality, Virtual Machines

    4.5
    Rating, 4.5 out of 5 stars
    ·
    112 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering and Fine-Tuning Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, Transfer Learning, PyTorch (Machine Learning Library), Performance Tuning, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    99 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

    Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    161 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing for AI-900: Microsoft Azure AI Fundamentals exam

    Skills you'll gain: Natural Language Processing, Microsoft Azure, Computer Vision, No-Code Development, Machine Learning, AI Workflows, Predictive Modeling, Artificial Intelligence, Responsible AI, Model Deployment

    4.7
    Rating, 4.7 out of 5 stars
    ·
    191 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Fundamentals of Machine Learning for Supply Chain

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Preprocessing, Operations Research, NumPy, Data Manipulation, Supply Chain, Data Transformation, Pandas (Python Package), Data Analysis, Data Cleansing, Data Science, Jupyter, Programming Principles, Python Programming, Pivot Tables And Charts, Applied Machine Learning, Plot (Graphics), Data Structures, Scripting

    3.7
    Rating, 3.7 out of 5 stars
    ·
    39 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Fundamentals of AI Agents Using RAG and LangChain

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Generative AI, Large Language Modeling, Hugging Face, PyTorch (Machine Learning Library), Embeddings, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    176 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    The STATA OMNIBUS: Regression and Modelling with STATA

    Skills you'll gain: Stata, Regression Analysis, Statistical Modeling, Statistical Methods, Statistical Analysis, Data Visualization, Data Manipulation, Logistic Regression, Predictive Modeling, Statistical Hypothesis Testing, Model Evaluation

    Beginner · Course · 3 - 6 Months

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

  • Developing Explainable AI (XAI): Duke University
  • Fundamentos de estadística aplicada: Universidad de los Andes
  • Network Analysis for Marketing Analytics: University of Colorado Boulder
  • مقدمة عن البيانات الضخمة: University of California San Diego
  • Generative AI Engineering and Fine-Tuning Transformers: IBM
  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • Preparing for AI-900: Microsoft Azure AI Fundamentals exam: Microsoft
  • Machine Learning Using SAS Viya: SAS
  • Fundamentals of Machine Learning for Supply Chain: LearnQuest
  • Probabilistic Graphical Models 2: Inference: Stanford 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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