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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


  • C

    Coursera

    Building Statistical Models in R: Linear Regression

    Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Model Evaluation, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Statistical Analysis, Plot (Graphics), R (Software), Ggplot2

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Intro to AI Engineering

    Skills you'll gain: Prompt Engineering, Responsible AI, OpenAI API, Generative AI, Data Ethics, AI Security, ChatGPT, Artificial Intelligence, Application Programming Interface (API), Computer Programming, Key Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    107 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Keras Deep Learning & Generative Adversarial Networks (GAN)

    Skills you'll gain: Generative Adversarial Networks (GANs), Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), NumPy, Transfer Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Data Analysis, Artificial Intelligence, Data Preprocessing, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Artificial Neural Networks, Image Analysis, Machine Learning, Data Science

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Michigan

    파이썬의 데이터 과학 소개

    Skills you'll gain: Pandas (Python Package), NumPy, Data Manipulation, Statistical Analysis, Jupyter, Data Structures, Data Cleansing, Pivot Tables And Charts, Data Analysis, Data Preprocessing, Exploratory Data Analysis, Python Programming, Probability & Statistics, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    The DMAIC Framework: Analyze, Improve, and Control Phase

    Skills you'll gain: Exploratory Data Analysis, Statistical Process Controls, Six Sigma Methodology, Statistical Hypothesis Testing, Statistical Analysis, Continuous Improvement Process, Data Analysis, Process Improvement, Quality Improvement, Root Cause Analysis, Data-Driven Decision-Making, Regression Analysis, Process Optimization, Correlation Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Foundations of Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Scikit Learn (Machine Learning Library), Classification Algorithms, Forecasting, Decision Tree Learning, Anomaly Detection, Data Manipulation, Regression Analysis, Statistical Modeling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Harnessing LLMs: Strategy, Fine-Tuning & Evaluation

    Skills you'll gain: Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Evaluation, Responsible AI, LangChain, Large Language Modeling, Model Deployment, Generative AI, Generative Adversarial Networks (GANs), Application Deployment, Application Development, Technical Management, OpenAI API, Data Ethics, AI Enablement, Trend Analysis, Business Strategy, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    69 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    GenAI For Business Analysis: Fine-Tuning LLMs

    Skills you'll gain: Model Evaluation, OpenAI API, Data Preprocessing, OpenAI, Large Language Modeling, Real Time Data, Data Manipulation, Generative AI, Python Programming, Unstructured Data, Performance Metric, Machine Learning, JSON

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Dimensionality Reduction, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Github CoPilot for Beginners: Write Software With AI

    Skills you'll gain: Responsive Web Design, HTML and CSS, Web Design and Development, UI Components, Prompt Engineering, Web Development Tools, Web Development, Generative AI, Javascript, Software Engineering, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    73 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Building Statistical Models in R: Linear Regression: Coursera
  • Intro to AI Engineering: Scrimba
  • Keras Deep Learning & Generative Adversarial Networks (GAN): Packt
  • 파이썬의 데이터 과학 소개: University of Michigan
  • The DMAIC Framework: Analyze, Improve, and Control Phase: SkillUp
  • Foundations of Machine Learning: Coursera
  • Harnessing LLMs: Strategy, Fine-Tuning & Evaluation: Coursera
  • GenAI For Business Analysis: Fine-Tuning LLMs: Coursera
  • Machine Learning Models in Science: LearnQuest
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London

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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