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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


  • G

    Google

    Design Prompts for Everyday Work Tasks

    Skills you'll gain: Prompt Engineering, Brainstorming, Email Automation, AI Enablement, Concision, Large Language Modeling, Business Writing, Productivity, Organizational Skills

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Validate and Explain Your ML Models

    Skills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Annotate and Analyze Objects for Vision

    Skills you'll gain: Image Analysis, Data Cleansing, Quality Assurance, Quality Assessment, Packaging and Labeling, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Query Spatial with PostGIS

    Skills you'll gain: Spatial Data Analysis, GIS Software, Geographic Information Systems, Spatial Analysis, Query Languages, SQL, PostgreSQL, Database Development, Performance Tuning, Scalability

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply R Techniques for Telecom Customer Churn Prediction

    Skills you'll gain: Feature Engineering, Data Preprocessing, Applied Machine Learning, Model Evaluation, R Programming, Data Transformation, Data Manipulation, Data Cleansing, Predictive Modeling, Predictive Analytics, Supervised Learning, Classification Algorithms, Machine Learning Algorithms

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Databricks ML in Action

    Skills you'll gain: Model Deployment, Databricks, MLOps (Machine Learning Operations), Feature Engineering, Apache Spark, Data Preprocessing, Applied Machine Learning, Data Lakes, AI Workflows, Hugging Face, Data Pipelines, PySpark, Vector Databases, Artificial Intelligence and Machine Learning (AI/ML), Retrieval-Augmented Generation, Data Quality, Machine Learning, Embeddings, Artificial Intelligence, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Debug Audio Models: Performance and Root Cause

    Skills you'll gain: Debugging, Model Evaluation, Root Cause Analysis, Data Preprocessing, Software Visualization, Exploratory Data Analysis, Analysis, Performance Tuning, Performance Analysis, Quantitative Research

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Integrate Embeddings and Chroma

    Skills you'll gain: Vector Databases, LangChain, Data Integration, Retrieval-Augmented Generation, Prompt Engineering, AI Orchestration, OpenAI

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Preparing Images for AI Models

    Skills you'll gain: Image Quality, Data Preprocessing, Data Quality, Generative AI, Data Validation, Data Collection, Data Transformation, PyTorch (Machine Learning Library), Data Ethics, Data Management, Metadata Management

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Start Neural Networks Advanced Model Architectures

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Data Analysis, Applied Machine Learning, Network Architecture, Supervised Learning

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI for Good

    Skills you'll gain: Model Evaluation, Disaster Recovery, Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Image Analysis, Emergency Response, Artificial Intelligence, Machine Learning, Mitigation, Applied Machine Learning, Text Mining, Environmental Monitoring, Convolutional Neural Networks, Information Privacy, Deep Learning, Computer Vision, Supervised Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    614 reviews

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Measure Vector Similarity

    Skills you'll gain: Data-Driven Decision-Making, Vector Databases, NumPy, Data Analysis, Model Evaluation, Machine Learning, Machine Learning Algorithms, Analysis, Linear Algebra, Python Programming, Classification Algorithms, Performance Testing

    Intermediate · Course · 1 - 4 Weeks

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

  • Design Prompts for Everyday Work Tasks: Google
  • Validate and Explain Your ML Models: Coursera
  • Annotate and Analyze Objects for Vision: Coursera
  • Query Spatial with PostGIS: Coursera
  • Apply R Techniques for Telecom Customer Churn Prediction: EDUCBA
  • Databricks ML in Action: Packt
  • Debug Audio Models: Performance and Root Cause: Coursera
  • Integrate Embeddings and Chroma: Coursera
  • Preparing Images for AI Models: Coursera
  • Start Neural Networks Advanced Model Architectures: Coursera

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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