Data Mining Techniques

The course covers the concepts, methodology, techniques and applications of data mining. Several popular data mining techniques, such as Cluster Analysis, Association Analysis and Decision Trees will also be introduced. Participants will use software tools to perform these analyses and make decisions based on the analysed results.  

Who should attend

Target Participants

Individuals who would like to have a hands-on experience in learning about data mining techniques  

Entry Requirement

Participants should have an ICT related diploma or technology related background.

For course details, click here.

Course Outline

  1. Data Mining Life Cycle
  2. Supervised and Unsupervised Data Mining
  3. Techniques of Data Mining
  4. Models in Data Mining – Decision Trees, Regression
  5. Model Assessment and Implementation

Certification

Participants will be issued with a Certificate of Accomplishment upon meeting 75% of the required course attendance. 

Trainers' Profile

Enquiries & Application

Submit on-line application via:
https://bluesky.tp.edu.sg/PTOAS.aspx
(Please select Course Code:  ZGC)

Temasek SkillsFuture Academy
Temasek Polytechnic
East Wing Block 1A, Level 3, Unit 81
21 Tampines Avenue 1
Singapore 529757

Opening Hours
8.30 am to 7.00 pm (Mon to Fri)
Closed on Sat, Sun & Public Holidays

Contact Details
6788 1212
tsa@tp.edu.sg
  http://www.tp.edu.sg/tsa

Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.