technifyed

The Hong Kong University of Science and Technology via edX

Data Mining and Knowledge Discovery

4.98 ratings at edX

Overview

Learn how to discover knowledge in data via data mining.

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 6

  1. Association
  2. Clustering
  3. Classification
  4. Data Warehouse
  5. Data Mining over Data Streams
  6. Web Database

Skills you'll practise

Knowledge DiscoveryWeb MiningResearchData MiningStatistics

Advantages and disadvantages

Advantages

  • University courses you can audit for free, with lectures, readings and practice quizzes.
  • A verified certificate from the university if you pay for it.
  • From The Hong Kong University of Science and Technology, a well-regarded name.
  • Self-paced: start any time.
  • A clear syllabus (6 parts) you can see before you start.

Disadvantages

  • Graded assignments and the certificate need the paid track.
  • Audit access can expire a few weeks after the course ends.
  • Learning is free, but the certificate costs money.
  • Some parts (graded work, certificate) are paid.
  • A big commitment: about 8 weeks, 6 - 10 hours per week in all.

Some points apply to every course of this kind; see how we rank.

Free to audit

  • Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
  • Paid: Graded assignments and the verified certificate (Certificate $439). Audit access may end after the course closes.

Before you start

Algorithm

Taught by

  • Raymond Chi-Wing WONGProfessor in Computer Science and Engineering

The Hong Kong University of Science and Technology is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).

Similar courses

Compare these

Massachusetts Institute of Technology · YouTube

MIT 18.650 Statistics for Applications, Fall 2016

MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications. The goal is to understand the role of mathe…

Free video22 videos, 28 hours

Stanford University · YouTube

AI Luminaries

A curated collection of videos featuring top experts in artificial intelligence.

Free video20 videos, 15 hours

Stanford University · YouTube

Generative AI Program

-Learn more and enroll in the program: https://online.stanford.edu/programs/generative-ai-technology-business-and-society-program Recent advancements in generative AI are reshaping industries, pushing technological boundaries, and revolutionizing creative processes. In this fast-changing landscape…

Free video24 videos, 2 hours

Stanford University · YouTube

Artificial Intelligence

For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai Delve into the exciting world of Artificial Intelligence with insights and research from the world's top experts. This playlist offers a comprehensive journey, from foundational machine learning con…

Free video187 videos, 142 hours

Stanford University · YouTube

Stanford CS229: Machine Learning led by Andrew Ng | Autumn 2018

Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (cluster…

Free video21 videos, 28 hours

Massachusetts Institute of Technology · YouTube

MIT 6.034 Artificial Intelligence, Fall 2010

View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabili…

Free video30 videos, 24 hours

Enter your email and the official page opens. Phone is optional.