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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 Pennsylvania

    Decision-Making and Scenarios

    Skills you'll gain: Data-Driven Decision-Making, Forecasting, Financial Modeling, Financial Statements, Decision Making, Capital Budgeting, Financial Analysis, Return On Investment, Cash Flows, New Business Development, Risk Analysis, Income Statement, Balance Sheet, Spreadsheet Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.7K reviews

    Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    AI Foundations with Python: Build & Visualize

    Skills you'll gain: Seaborn, Matplotlib, NumPy, Scatter Plots, Data Visualization Software, Box Plots, Histogram, Exploratory Data Analysis, Jupyter, Heat Maps, Data Manipulation, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Mixed · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Data Processing, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Data Manipulation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Scikit-Learn to Solve Regression Machine Learning Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Machine Learning, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • T

    Technical University of Denmark (DTU)

    Whole genome sequencing of bacterial genomes - tools and applications

    Skills you'll gain: Bioinformatics, Molecular Biology, Microbiology, Infectious Diseases, Medical Science and Research, Database Development, Taxonomy, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.6K reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Model Evaluation, Data Transformation, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Case Western Reserve University

    Basic Principles of Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Make.com for Beginners: LinkedIn Post Automation With GPT-4

    Skills you'll gain: Make.com, LinkedIn, Marketing Automation, Marketing, Social Media Content, Social Media Marketing, Application Programming Interface (API), Generative AI, Content Creation, Automation, Artificial Intelligence, Content Marketing, Workflow Management

    Beginner · Guided Project · Less Than 2 Hours

  • S

    SAS

    Generative AI Using SAS

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Responsible AI, Embeddings, Data Synthesis, SAS (Software), Text Mining, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • U

    Universidad Austral

    Pilares de Marketing Digital

    Skills you'll gain: Digital Marketing, Customer Relationship Management, Social Media Marketing, Digital Media Strategy, Social Media Strategy, Marketing Analytics, Marketing Strategies, Web Analytics, Marketing, Sales Process, Business Analytics, Customer Retention, Search Engine Marketing, Customer Engagement, Email Marketing, Search Engine Optimization, Content Performance Analysis, Analytics, Lead Generation, Target Audience

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Spreadsheets for Beginners using Google Sheets

    Skills you'll gain: Spreadsheet Software, Google Sheets, Microsoft Excel, Data Visualization, Excel Formulas, Data Presentation, Data Entry, Data Analysis, Data Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.2K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • I

    IESE Business School

    Finance for Managers

    Skills you'll gain: Financial Management, Financial Acumen, Financial Data, Management Accounting, Finance, Profit and Loss (P&L) Management, Business Metrics, Business Analysis

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

    Mixed · Course · 1 - 4 Weeks

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

  • Decision-Making and Scenarios: University of Pennsylvania
  • AI Foundations with Python: Build & Visualize: EDUCBA
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • Scikit-Learn to Solve Regression Machine Learning Problems: Coursera
  • Whole genome sequencing of bacterial genomes - tools and applications: Technical University of Denmark (DTU)
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University
  • Make.com for Beginners: LinkedIn Post Automation With GPT-4: Coursera
  • Generative AI Using SAS: SAS
  • Pilares de Marketing Digital: Universidad Austral

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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