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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


  • A

    Adobe

    Adobe Content Creator: Launching Your Creative Career

    Skills you'll gain: Adobe Express, Responsible AI, Logo Design, Digital Design, Layout Design, Generative AI, Social Media, Content Creation, Graphic Design, Social Media Management, Creative Design, Adobe Photoshop, Visual Design, Content Marketing, Infographics, Content Strategy, Typography, Color Theory, Storytelling, Branding

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.7K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • U

    University of Pennsylvania

    People Analytics

    Skills you'll gain: People Analytics, Human Capital, Human Resource Strategy, Human Resources, Talent Management, Organizational Effectiveness, Workforce Management, Analytics, Performance Measurement, Employee Performance Management, Data-Driven Decision-Making, Performance Analysis, Network Analysis, Employee Retention, Performance Management, Collaboration, Data Analysis, Predictive Analytics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.2K reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of California, Santa Cruz

    Bayesian Statistics: Mixture Models

    Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Methods, Probability Distribution, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    Fundamentals of Quantitative Modeling

    Skills you'll gain: Business Modeling, Mathematical Modeling, Regression Analysis, Statistical Modeling, Risk Analysis, Forecasting, Predictive Analytics, Business Analytics, Simulation and Simulation Software, Probability, Logistic Regression, Vocabulary

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Embeddings

    4.6
    Rating, 4.6 out of 5 stars
    ·
    47 reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    Edureka

    Machine Learning and NLP Basics

    Skills you'll gain: Tensorflow, Predictive Modeling, Machine Learning, Text Mining, Deep Learning, Natural Language Processing, Applied Machine Learning, Convolutional Neural Networks, Supervised Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Classification Algorithms, Data Science, Data Preprocessing

    3.3
    Rating, 3.3 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of California, Irvine

    Predictive Modeling, Model Fitting, and Regression Analysis

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Regression Analysis, Decision Tree Learning, Supervised Learning, Data Modeling, Data Analysis, Logistic Regression, Descriptive Analytics, Forecasting, Machine Learning, Model Evaluation, Classification Algorithms, Unsupervised Learning, Statistical Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    75 reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    Meta

    React Basics

    Skills you'll gain: Mobile Development, React.js, Web Applications, Event-Driven Programming, Application Development, UI Components, Front-End Web Development, Cascading Style Sheets (CSS), Javascript, Hypertext Markup Language (HTML), Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of California, Davis

    AI Agents: From Prompts to Multi-Agent Systems

    Skills you'll gain: Prompt Engineering, AI Workflows, Agentic systems, Generative AI, AI Orchestration, Artificial Intelligence, Responsible AI, Innovation, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    147 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Linear Regression with Python

    Skills you'll gain: Regression Analysis, NumPy, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    438 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    Using Databases with Python

    Skills you'll gain: Database Design, Relational Databases, SQL, Databases, Data Visualization Software, Web Scraping, Data Modeling, Object Oriented Programming (OOP), Data Processing, Geographic Information Systems, Python Programming, Application Programming Interface (API)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    22K reviews

    Beginner · Course · 1 - 3 Months

  • N

    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
    ·
    341 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Adobe Content Creator: Launching Your Creative Career: Adobe
  • People Analytics: University of Pennsylvania
  • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
  • Fundamentals of Quantitative Modeling: University of Pennsylvania
  • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
  • Machine Learning and NLP Basics: Edureka
  • Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine
  • React Basics: Meta
  • AI Agents: From Prompts to Multi-Agent Systems: University of California, Davis
  • Linear Regression with Python: 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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