EdX

Data Mining and Knowledge Discovery (edX)

Offered by The Hong Kong University of Science and Technology - HKUST, HKUSTx,
Data Mining and Knowledge Discovery (edX)

Learn how to discover knowledge in data via data mining. Data mining has recently emerged as a major field of research and applications. Aimed at extracting useful and interesting knowledge from large data repositories such as databases and the Web, data mining integrates techniques from the fields of database, statistics and AI.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

This course is part of the Big Data Technology MicroMasters program.
What you'll learn

  • Apply the clustering techniques to find clusters within the data
  • Use the classification techniques to conduct classification and predication
  • Use the knowledge of frequest pattern mining to discover patterns from the data
  • Learn data warehouse techniques for data analysis

Syllabus

  • Association
  • Clustering
  • Classification
  • Data Warehouse
  • Data Mining over Data Streams
  • Web Database
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Data Warehouse Concepts, Design, and Data Integration (Coursera) Coursera
University of Colorado System

Data Warehouse Concepts, Design, and Data Integration (Coursera)

CS: Design & Product

This is the second course in the Data Warehousing for Business Intelligence specialization. Ideally, the courses should be taken in sequence. In this course, you will learn exciting concepts and skills for designing data warehouses and creating data integration workflows. These are fundamental skills for data warehouse developers and administrators. You will have hands-on experience for data warehouse design and use open source products for manipulating pivot tables and creating data integration workflows.

Jun 22nd 2026
5-12 Weeks
Business Intelligence Data Warehousing Data Warehouse
Details
Machine Learning: Classification (Coursera) Coursera
University of Washington

Machine Learning: Classification (Coursera)

Statistics & Data Analysis Data Science

Case Studies: Analyzing Sentiment & Loan Default Prediction. In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...). In our second case study for this course, loan default prediction, you will tackle financial data, and predict when a loan is likely to be risky or safe for the bank.

Jun 22nd 2026
5-12 Weeks
Python Machine Learning Classification
Details
Data Visualization (Coursera) Coursera
University of Illinois at Urbana-Champaign

Data Visualization (Coursera)

Statistics & Data Analysis Data Science

Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for pattern-based classification and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.

Jun 22nd 2026
4 Weeks
Data Mining Numerical Analysis Data Visualization
Details
Public Sector Debt Statistics (edX) EdX
International Monetary Fund - IMF,IMFx

Public Sector Debt Statistics (edX)

Economics & Finance

The course examines coverage and accounting rules for public sector debt, valuation, classification, important methodological issues, and the sources and methods used for compiling the statistics. This course, presented by IMF Statistics Department, covers the fundamentals needed to compile and disseminate comprehensive public sector debt statistics (PSDS) that are useful for policy- and decision-makers, as well as other users.

Self Paced
Self-Paced
Statistics Classification Accounting
Details
The Analytics Edge (edX) EdX
MIT,MITx

The Analytics Edge (edX)

Statistics & Data Analysis

Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life. In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life.

This course is archived
13-24 Weeks
Data Clustering Data Analysis
Details
High-Dimensional Data Analysis (edX) EdX
HarvardX,Harvard University

High-Dimensional Data Analysis (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

A focus on several techniques that are widely used in the analysis of high-dimensional data. If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principle component analysis.

Self Paced
Self-Paced
Machine Learning Clustering Data Analysis
Details
Cluster Analysis (edX) EdX
University of Texas at Arlington,UTArlingtonX

Cluster Analysis (edX)

Education Statistics & Data Analysis

Learn how to conduct a cluster analysis to discover important patterns in student behavior using the popular Weka data mining toolkit. In this course, you will learn the basics of cluster analysis, one of the most popular data mining methods for the discovery of patterns in learning data, and its application in learning analytics.

No sessions available
3 Weeks
Data Mining Weka Learning Analytics
Details
Applications of Linear Algebra Part 1 (edX) EdX
Davidson College,DavidsonX

Applications of Linear Algebra Part 1 (edX)

CS: Software Engineering Sci: Mathematics

Learn to use linear algebra in computer graphics by making images disappear in an animation or creating a mosaic or fractal and in data mining to measure similarities between movies, songs, or friends. From simulating complex phenomenon on supercomputers to storing the coordinates needed in modern 3D printing, data is a huge and growing part of our world.

No sessions available
4 Weeks
Math Linear Algebra Computer Graphics
Details
AI skills for Engineers: Supervised Machine Learning (edX) EdX
Delft University of Technology,DelftX

AI skills for Engineers: Supervised Machine Learning (edX)

Robotics & Computer Vision

Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems using the Python toolbox scikit-learn. Machine learning classification and regression techniques have potential uses in various engineering disciplines. These machine learning models allow you to make predictions for a category (classification) or for a number (regression) given sensor data, and can be used in, for example, predicting properties of objects (such as their weight or shape).

Self Paced
Self-Paced
ML Artificial Intelligence Machine Learning
Details