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  • Data Mining

Results for "data mining"


  • U

    University of Illinois Urbana-Champaign

    Data Mining

    Skills you'll gain: Data Visualization, Data Visualization Software, Text Mining, Data Presentation, Data Mining, Dashboard, Tableau Software, Plot (Graphics), Dashboard Creation, Natural Language Processing, Unsupervised Learning, Data Mapping, Unstructured Data, Statistical Analysis, Graphing, Big Data, Data-Driven Decision-Making, Analytics, Data Analysis, Statistical Machine Learning

    ★ 4.5 (2.9K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    Data Mining in Python

    Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Anomaly Detection, Data Manipulation, Machine Learning Methods, Statistical Methods, Linear Algebra, Python Programming, Classification Algorithms

    ★ 4.7 (10) · Advanced · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Data Mining Foundations and Practice

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Data Warehousing, Machine Learning Methods, Supervised Learning, Data Pipelines, Data Preprocessing, Classification Algorithms, Data Processing, Data Modeling, Decision Tree Learning, Data Management, Machine Learning Algorithms, Data Science, Data Cleansing, Model Evaluation, Analytical Skills, Ideation, Exploratory Data Analysis

    ★ 4.1 (182) · Intermediate · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • I

    IBM

    Introduction to Data Analytics

    Skills you'll gain: Data Storytelling, Data Wrangling, Data Presentation, Big Data, Interactive Data Visualization, Data Analysis, Statistical Visualization, Data Cleansing, Apache Hadoop, Statistical Analysis, Data Visualization, Data Import/Export, Apache Hive, Data Mart, Data Processing, Data Warehousing, Data Transformation, Apache Spark, Data Science, Microsoft Excel

    ★ 4.8 (21K) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Data Mining Methods

    Skills you'll gain: Data Mining, Anomaly Detection, Unsupervised Learning, Machine Learning Methods, Supervised Learning, Classification Algorithms, Decision Tree Learning, Machine Learning Algorithms, Data Analysis, Analysis, Machine Learning, Correlation Analysis, Bayesian Network, Algorithms, Artificial Neural Networks, Model Evaluation

    ★ 4.3 (72) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of Illinois Urbana-Champaign

    Pattern Discovery in Data Mining

    Skills you'll gain: Data Mining, Big Data, Text Mining, Unstructured Data, Spatial Data Analysis, Advanced Analytics, Image Analysis, Algorithms, Correlation Analysis, Information Privacy

    ★ 4.3 (326) · Mixed · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered

What brings you to Coursera today?

  • U

    University of Colorado Boulder

    Data Mining Pipeline

    Skills you'll gain: Data Mining, Data Warehousing, Data Pipelines, Data Preprocessing, Data Processing, Data Modeling, Data Management, Data Science, Data Cleansing, Model Evaluation, Exploratory Data Analysis

    ★ 3.9 (117) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • U

    University of California, Irvine

    Intro to Analytic Thinking, Data Science, and Data Mining

    Skills you'll gain: Analytical Skills, Data Ethics, Data Mining, Data Science, Business Analytics, Big Data, Analytics, Descriptive Analytics, Data Analysis Software, Predictive Analytics, Small Data

    ★ 4.2 (157) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • I

    IBM

    Data Analysis with Python

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Data Import/Export, Data Manipulation, Data Transformation, Predictive Modeling, Data Cleansing, Data Preprocessing, Model Evaluation, Data Processing, Data Science, Predictive Analytics, Model Training, Analytics, Pandas (Python Package), Model Optimization, Statistical Modeling, Data Visualization, Python Programming

    ★ 4.7 (20K) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google

    Introduction to Data Analysis Using Python

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Data Cleansing, Python Programming, Data Analysis, NumPy, Pandas (Python Package), Data Manipulation, Programming Principles, Analytics, Analytical Skills, Scripting, Code Reusability

    ★ 4.7 (87) · Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Illinois Urbana-Champaign

    Cluster Analysis in Data Mining

    Skills you'll gain: Unsupervised Learning, Data Mining, Applied Machine Learning, Machine Learning Algorithms, Spatial Analysis, Machine Learning Methods, Model Evaluation, Anomaly Detection, Taxonomy, Algorithms, Verification And Validation

    ★ 4.5 (410) · Mixed · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • E

    Edureka

    Applied Machine Learning Without Coding

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…834

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

  • Data Mining: University of Illinois Urbana-Champaign
  • Data Mining in Python: University of Michigan
  • Data Mining Foundations and Practice: University of Colorado Boulder
  • Introduction to Data Analytics: IBM
  • Data Mining Methods: University of Colorado Boulder
  • Pattern Discovery in Data Mining: University of Illinois Urbana-Champaign
  • Data Mining Pipeline: University of Colorado Boulder
  • Intro to Analytic Thinking, Data Science, and Data Mining: University of California, Irvine
  • Data Analysis with Python: IBM
  • Introduction to Data Analysis Using Python: Google

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)

Frequently Asked Questions about Data Mining

Data mining is the process of discovering patterns and extracting valuable information from large sets of data. It combines techniques from statistics, machine learning, and database systems to analyze data and uncover insights that can inform decision-making. The importance of data mining lies in its ability to help organizations make sense of vast amounts of information, leading to improved strategies, enhanced customer experiences, and increased operational efficiency.‎

A variety of job opportunities exist in the field of data mining. Positions such as data analyst, data scientist, business intelligence analyst, and machine learning engineer are common. These roles often involve analyzing data to identify trends, developing predictive models, and providing actionable insights to drive business decisions. As organizations increasingly rely on data-driven strategies, the demand for skilled professionals in data mining continues to grow.‎

To succeed in data mining, you should develop a range of skills. Key competencies include statistical analysis, programming (often in languages like Python or R), data visualization, and machine learning techniques. Familiarity with databases and data manipulation tools is also essential. Additionally, strong problem-solving abilities and critical thinking skills will help you interpret data effectively and communicate your findings to stakeholders.‎

There are several excellent online courses available for those interested in data mining. For a comprehensive learning experience, consider the Data Mining Specialization or the Data Mining Foundations and Practice Specialization. These programs cover essential concepts and practical applications, providing a solid foundation for your data mining journey.‎

Yes. You can start learning data mining on Coursera for free in two ways:

  1. Preview the first module of many data mining courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in data mining, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn data mining, start by exploring foundational concepts through online courses or textbooks. Engage with practical exercises to apply what you learn, and consider working on real-world projects to gain hands-on experience. Joining online forums or study groups can also enhance your understanding and provide support from peers.‎

Typical topics covered in data mining courses include data preprocessing, exploratory data analysis, clustering, classification, and regression techniques. You may also learn about data visualization, model evaluation, and the ethical considerations surrounding data usage. These topics equip you with the knowledge needed to analyze and interpret data effectively.‎

For training and upskilling employees in data mining, consider courses like Data Mining in Python or Data Mining Methods. These courses provide practical skills and knowledge that can be directly applied in the workplace, helping teams leverage data for better decision-making.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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