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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: Free Trial
    Free Trial
    M

    Microsoft

    Building Powerful Reports and Dashboards in Power BI

    Skills you'll gain: Data Ethics, Dashboard, Power BI, Business Intelligence, Interactive Data Visualization, Data Presentation, Data Visualization, Data Storytelling, Data Visualization Software, Data-Driven Decision-Making, Business Reporting, Business Analytics, Data Analysis Expressions (DAX), Data Security, Data Management, Key Performance Indicators (KPIs), Data Analysis, Performance Analysis, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Data Analysis, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    495 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Introduction to Microsoft 365 Copilot

    Skills you'll gain: Microsoft Copilot, Prompt Engineering, Microsoft 365, Microsoft Office, Microsoft Outlook, Productivity Software, Workflow Management, AI Enablement, Microsoft Word, Microsoft PowerPoint, Microsoft Excel, Presentations, Generative AI, Identity and Access Management, Data Security

    4.6
    Rating, 4.6 out of 5 stars
    ·
    822 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Design of Experiments

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Modeling, Statistical Hypothesis Testing, Design Strategies, Sampling (Statistics), Probability & Statistics, Mathematical Modeling, Analysis, Model Evaluation, Data Transformation, Descriptive Statistics, Probability Distribution, Variance Analysis, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    379 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Publishing Visualizations in R with Shiny and flexdashboard

    Skills you'll gain: Shiny (R Package), Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Data Presentation, Application Development, Data Sharing, UI Components, Application Deployment

    4.9
    Rating, 4.9 out of 5 stars
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    70 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to the Tidyverse

    Skills you'll gain: Tidyverse (R Package), Data Wrangling, R (Software), Data Cleansing, Data Transformation, Data Manipulation, R Programming, Data Science, Exploratory Data Analysis, Data Analysis, Data Management, File Management, Data Visualization, Data Import/Export

    4.4
    Rating, 4.4 out of 5 stars
    ·
    53 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    53 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Unilever

    Implementing Supply Chain Analytics

    Skills you'll gain: Descriptive Analytics, Supply Chain, Supply Chain Management, Supply Chain Systems, Supply Chain Planning, Predictive Analytics, Forecasting, Inventory and Warehousing, Data-Driven Decision-Making, Business Analytics, Advanced Analytics, Analytics, SQL, Data Presentation, Data Analysis, Technical Communication, Data Storytelling, Statistical Reporting, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    62 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Prompt Engineering, Development Environment, Large Language Modeling, Text Mining, Databases, OpenAI, Semantic Web, Artificial Intelligence

    4.8
    Rating, 4.8 out of 5 stars
    ·
    46 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    IBM

    DataOps Methodology

    Skills you'll gain: Data Governance, Data Strategy, Data Management, Data Modeling, Data Quality, Data Literacy, Data Integration, Metadata Management, Data Transformation, Data-Driven Decision-Making, Taxonomy, Business Priorities, Data Pipelines, Sprint Retrospectives, Process Improvement, Sprint Planning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    58 reviews

    Beginner · 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, Convolutional Neural Networks, Responsible AI, Data Ethics, Unsupervised Learning, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    547 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    286 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Building Powerful Reports and Dashboards in Power BI: Microsoft
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Introduction to Microsoft 365 Copilot: Microsoft
  • Design of Experiments: Arizona State University
  • Publishing Visualizations in R with Shiny and flexdashboard: Johns Hopkins University
  • Introduction to the Tidyverse: Johns Hopkins University
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Implementing Supply Chain Analytics: Unilever
  • Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases: Scrimba
  • DataOps Methodology : 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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