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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


  • Status: New
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    Microsoft

    Building Data Lakes and Lakehouses with Microsoft Fabric

    Skills you'll gain: Data Lakes, Data Governance, Data Management, Microsoft Azure, Data Architecture, Data Warehousing, Data Integrity, Data Pipelines, Data Security, Role-Based Access Control (RBAC), Data Transformation, Real Time Data

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud

    Skills you'll gain: Metadata Management, Data Sharing, Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Migration, Data Warehousing, Data Infrastructure, Apache Airflow, Data Processing, Big Data, Data Management, Information Management, Cloud Storage, Apache Spark, Automation

    5
    Rating, 5 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Retrieve Data with Multiple-Table SQL Queries

    Skills you'll gain: SQL, Query Languages, Relational Databases, Database Management, Databases, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    99 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    Johns Hopkins University

    Data Science Decisions in Time: Using Causal Information

    Skills you'll gain: Precision Medicine, Clinical Trials, Data Analysis, Data-Driven Decision-Making, Analytics, Data Science, Strategic Decision-Making, Root Cause Analysis, Random Forest Algorithm, Treatment Planning, Personalized Service, A/B Testing, Machine Learning, Online Advertising

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Analyze User Research Data with Microsoft Forms

    Skills you'll gain: User Research, User Feedback, Business Research, Data Collection, Market Research, Data Compilation, Business Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    50 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Loading Data into Google Cloud SQL

    Skills you'll gain: Data Import/Export, Data Modeling, Database Management, Google Cloud Platform, SQL, Data Manipulation, Data Analysis, Cloud Computing

    Intermediate · Project · Less Than 2 Hours

  • U

    University of Colorado System

    Data Structures and Design Patterns for Game Developers

    Skills you'll gain: Object Oriented Design, Unity Engine, Game Design, Software Design Patterns, Data Structures, C# (Programming Language), Video Game Development, Programming Principles, Graph Theory, Software Architecture, Algorithms, Debugging

    4.6
    Rating, 4.6 out of 5 stars
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    149 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Data Visualization Software, Predictive Analytics, Debugging, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Data Preprocessing, Exploratory Data Analysis, Predictive Modeling, Data Analysis

    4
    Rating, 4 out of 5 stars
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    96 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    P

    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Agentic AI Content for Practitioners (Teams: Data)

    Skills you'll gain: AI Workflows, Agentic systems, AI Orchestration, AI Enablement, Advanced Analytics, Data Processing, Enterprise Architecture, Automation, Data Transformation, Artificial Intelligence, Continuous Improvement Process, Data Quality, Application Deployment, Scalability, Performance Tuning, Business Metrics, Software Design Patterns

    Intermediate · Course · 1 - 4 Weeks

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

  • Building Data Lakes and Lakehouses with Microsoft Fabric: Microsoft
  • Introduction to Data Engineering on Google Cloud: Google Cloud
  • Retrieve Data with Multiple-Table SQL Queries: Coursera
  • Data Science Decisions in Time: Using Causal Information: Johns Hopkins University
  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Analyze User Research Data with Microsoft Forms: Coursera
  • Loading Data into Google Cloud SQL: Google Cloud
  • Data Structures and Design Patterns for Game Developers: University of Colorado System
  • Programming for Python Data Science: Principles to Practice: Duke University

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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