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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


  • C

    Coursera

    Build Image Quality Inspection using AWS Lookout for Vision

    Skills you'll gain: Model Evaluation, Image Analysis, Amazon Web Services, Image Quality, Computer Vision, Model Deployment, Data Import/Export, Anomaly Detection, Data Science, Machine Learning, Cloud Computing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    C

    Coursera

    Perplexity.AI for Beginners: AI-Powered Search

    Skills you'll gain: Prompt Engineering, AI Enablement, Technical Communication, Artificial Intelligence, Information Architecture, User Interface (UI)

    3.5
    Rating, 3.5 out of 5 stars
    ·
    17 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • P

    Packt

    Salesforce Certified AI Associate Certification

    Skills you'll gain: Salesforce Development, Salesforce, AI Enablement, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Data Quality, Customer Relationship Management (CRM) Software, Predictive Analytics, Data Management, Data Capture, Generative AI, Business Ethics, Customer Engagement

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Building AI Agents: Automation and NLP Foundations

    Skills you'll gain: CrewAI, Generative AI Agents, Responsible AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Orchestration, Artificial Intelligence, Agentic systems, OpenAI, Automation, LLM Application, Data Ethics, Model Evaluation, Innovation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    25 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    데이터 과학자의 도구 상자

    Skills you'll gain: Rmarkdown, Data Science, R (Software), GitHub, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis

    4
    Rating, 4 out of 5 stars
    ·
    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free
    Free
    A

    Amazon Web Services

    Responsible AI Practices

    Skills you'll gain: Responsible AI, AI Security, Human Centered Design, Data Ethics, Model Evaluation, Artificial Intelligence, AWS SageMaker

    3.9
    Rating, 3.9 out of 5 stars
    ·
    39 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Marketing Analysts: Innovate Marketing Strategies

    Skills you'll gain: Marketing Analytics, Google Analytics, Campaign Management, Generative AI, Responsible AI, Customer Analysis, Marketing Automation, Performance Analysis, Social Media Campaigns, Customer Insights, Data Ethics, Personalized Service, OpenAI, ChatGPT, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Natural Language Processing Essentials

    Skills you'll gain: Classification Algorithms, Machine Learning Methods, Data Preprocessing, Model Evaluation, Embeddings

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    R

    Rice University

    Einführung in die Datenanalyse mit Excel

    Skills you'll gain: Microsoft Excel, Graphing, Spreadsheet Software, Pivot Tables And Charts, Excel Formulas, Data Analysis, Data Import/Export, Scatter Plots, Histogram, Data Presentation, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Generative AI Architecture and Application Development

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Generative Model Architectures, Generative AI, Data Ethics, Model Evaluation, Responsible AI, Prompt Engineering, Information Privacy, Natural Language Processing

    3.6
    Rating, 3.6 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 3 Months

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

  • Build Image Quality Inspection using AWS Lookout for Vision: Coursera
  • Perplexity.AI for Beginners: AI-Powered Search: Coursera
  • Salesforce Certified AI Associate Certification: Packt
  • Building AI Agents: Automation and NLP Foundations: Coursera
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • 데이터 과학자의 도구 상자: Johns Hopkins University
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Responsible AI Practices: Amazon Web Services
  • GenAI for Marketing Analysts: Innovate Marketing Strategies: Coursera
  • Natural Language Processing Essentials: Edureka

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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