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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


  • I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    456 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Data Preprocessing, Model Deployment, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    689 reviews

    Advanced · Course · 1 - 4 Weeks

  • I

    IBM

    Statistical Analysis Fundamentals using Excel

    Skills you'll gain: Data Visualization, Descriptive Statistics, Regression Analysis, Forecasting, Business Analytics, Data Analysis, Statistical Analysis, Statistical Methods, Microsoft Excel, Statistics, Spreadsheet Software, Predictive Analytics, Probability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    143 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Generative AI for Java and Spring Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Data Ethics, Model Deployment, Restful API, Software Design, Application Deployment, Software Architecture, Continuous Integration, Software Design Patterns, AI Workflows, Software Development, LLM Application, Java, AI Enablement, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Java Programming

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

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Working with BigQuery

    Skills you'll gain: Statistical Reporting, Data Visualization, Big Data, SQL, Query Languages, Data Import/Export, Data Presentation, Google Cloud Platform, Data Warehousing, Data Sharing, Analytics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    271 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • I

    IBM

    IBM AI Enterprise Workflow

    Skills you'll gain: Feature Engineering, Model Deployment, Data Visualization, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Dimensionality Reduction, MLOps (Machine Learning Operations), Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Data Science, Machine Learning, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    361 reviews

    Advanced · Specialization · 3 - 6 Months

  • L

    LearnQuest

    AI for Scientific Research

    Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Data Transformation, NumPy, Classification Algorithms, Tensorflow, Artificial Neural Networks, Machine Learning, Data Science

    3.4
    Rating, 3.4 out of 5 stars
    ·
    100 reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    IBM Hybrid Cloud Architect

    Skills you'll gain: Cloud-Native Computing, Infrastructure as Code (IaC), Cloud Security, Cloud Storage, Hybrid Cloud Computing, Systems Analysis, Process Improvement, Cloud Engineering, Cloud Computing, Cloud Solutions, Cloud Development, Requirements Analysis, Data Modeling, Multi-Cloud, DevOps, Docker (Software), Solution Design, Microservices, Infrastructure As A Service (IaaS), Information Technology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.7K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • U

    University of Colorado Boulder

    Clustering Analysis

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning, Data Mining, Model Evaluation, Machine Learning Algorithms, Exploratory Data Analysis, Data Analysis, Spatial Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    The Unix Workbench

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

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

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Production Machine Learning Systems

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Machine Learning, Model Evaluation, Distributed Computing, Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1K reviews

    Advanced · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Advanced Computer Vision with TensorFlow

    Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Transfer Learning, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Classification Algorithms, Model Evaluation, Visualization (Computer Graphics), Network Architecture

    4.7
    Rating, 4.7 out of 5 stars
    ·
    533 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Supervised Machine Learning: Classification: IBM
  • AI Capstone Project with Deep Learning : IBM
  • Statistical Analysis Fundamentals using Excel: IBM
  • Generative AI for Java and Spring Developers: IBM
  • Working with BigQuery: Coursera
  • IBM AI Enterprise Workflow: IBM
  • AI for Scientific Research: LearnQuest
  • IBM Hybrid Cloud Architect: IBM
  • Clustering Analysis: University of Colorado Boulder
  • The Unix Workbench: Johns Hopkins 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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