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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


  • 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, Design Elements And Principles, Data Analysis, Color Theory, Data Ethics, User Centered Design, Human Factors

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

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Statistical Inference & Predictive Modeling Foundations

    Skills you'll gain: Descriptive Statistics, A/B Testing, Classification And Regression Tree (CART), Dashboard, Model Evaluation, Model Deployment, Data-Driven Decision-Making, Risk Analysis, Histogram, Statistical Inference, Strategic Decision-Making, Data Presentation, Predictive Modeling, Statistical Hypothesis Testing, Risk Mitigation, Regression Analysis, Data Visualization, MLOps (Machine Learning Operations), Decision Tree Learning, Keras (Neural Network Library)

    Intermediate · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Analyze and Build Deep Learning Models with TensorFlow

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Course · 1 - 4 Weeks

  • L

    Logical Operations

    Tableau Desktop: Part 2

    Skills you'll gain: Tableau Software, Data Analysis, Data Visualization Software, Data Presentation, Dashboard, Trend Analysis, Data Visualization, Interactive Data Visualization, Microsoft Excel, Time Series Analysis and Forecasting, Data Storytelling, Data Transformation, Advanced Analytics, Predictive Analytics, Statistical Analysis, Forecasting, Microsoft PowerPoint, Microsoft Office, Productivity Software, Data Management

    Mixed · Course · 1 - 3 Months

  • U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Applied Machine Learning, Logistic Regression, Supervised Learning, Predictive Modeling, Decision Tree Learning, Data Preprocessing, Model Evaluation, Text Mining, Machine Learning Algorithms, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    SQL for Beginners

    Skills you'll gain: Data Analysis, Relational Databases, Data Transformation

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Cloud Analytics with Google Cloud Platform

    Skills you'll gain: Google Cloud Platform, Cloud Computing Architecture, Cloud Services, Cloud Computing, Big Data, Analytics, Cloud Platforms, Dataflow, Data Processing, Cloud Storage, Data Lakes, Cloud Infrastructure, Public Cloud, Microsoft Azure, Data Pipelines, Tensorflow, Real Time Data, Amazon Web Services, Artificial Intelligence, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    Apply Apache Cassandra Fundamentals for Scalable Databases

    Skills you'll gain: Query Languages, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • K

    KodeKloud

    Hands-On MLOps Fundamentals for ML Engineers

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning, Continuous Monitoring

    Beginner · Specialization · 1 - 3 Months

  • C

    Coursera

    Generate Insights with LLMs

    Skills you'll gain: LLM Application, Large Language Modeling, Prompt Engineering, Data Analysis Expressions (DAX), Statistical Reporting, Business Intelligence, Business Reporting, Data Pipelines, Generative AI, Cost Benefit Analysis, Performance Analysis, Model Evaluation, Key Performance Indicators (KPIs), Automation

    Intermediate · 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

  • E

    EDUCBA

    Analyze and Predict Shipping Time Using Machine Learning

    Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Customer Demand Planning, Inventory Management System, Logistics, Forecasting, Exploratory Data Analysis, Supply Chain, Data Quality, Predictive Modeling, Applied Machine Learning, Correlation Analysis, Transportation Operations, Statistical Analysis, Data Analysis, Machine Learning

    Beginner · Course · 1 - 4 Weeks

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

  • Essential Design Principles for Tableau: University of California, Davis
  • Statistical Inference & Predictive Modeling Foundations: Coursera
  • Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
  • Tableau Desktop: Part 2: Logical Operations
  • Machine Learning: Classification: University of Washington
  • SQL for Beginners: Packt
  • Cloud Analytics with Google Cloud Platform: Packt
  • Apply Apache Cassandra Fundamentals for Scalable Databases: EDUCBA
  • Hands-On MLOps Fundamentals for ML Engineers: KodeKloud
  • Generate Insights with LLMs: 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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