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Workshop on Advanced Data Analytics

 Dates to be confirmed

This workshop introduces fundamental concepts and methods for machine learning and data mining. The objective is to familiarise the participants with commonly used learning algorithms and techniques and their applications, as well as general questions related to analysing and handling data sets. The emphasis will be thus on machine learning and data mining algorithms and applications, with some broad explanation of the underlying principles. 

 Course Objectives

  • To introduce participants to the techniques of machine learning and data mining
  • To develop skills of using machine learning and data mining algorithms and software to conduct data analysis and research study

 Programme Outline

  • Introduction, Data Pre-Processing
  • Data Reduction: Dimension Reduction, Features Selection, Data Cubes
  • Association Rules, Sequential Patterns, Correlations
  • Classification I: KNN, Naïve Bayesian, Decision Trees
  • Classification II: Discriminant Analysis and SVM
  • Classification III: Neural Networks, others, Predictive Validation and Ensembles (including predictive evaluation)
  • Clustering I: Similarities, Partitioning-based Algorithm
  • Clustering II: Hierarchical, Density-based Clustering, Subspace Clustering and Segmentation Validation (including segmentation evaluation)
  • Anomaly and Outlier Detection
  • Advanced Topic I: Advances in Similarity Functions and Clustering
  • Advanced Topic II: Introduction to Text Analysis

 Prerequisites 

 Participants should be familiar with standard statistical methodologies and have some experience using software to conduct data analysis

 Notes 

 RapidMiner will be used as main software for analysis.  However, whenever is possible algorithms in R or Python will be shared. 

 

 Course Fees     

International Students

Singapore Citizens

(aged between 21 and 39) or

PRs (aged 21 and above)

SkillsFuture Mid-Career Enhanced Subsidy

(Singapore Citizens aged 40 and above)

Singapore Citizens (Workfare Training Support scheme)

Enhanced Training Support for SMEs^

Full course fee

S$ 1500.00

S$ 1500.00

S$ 1500.00

S$ 1500.00

S$ 1500.00

Less: SSG Grant Amount - (S$ 1050.00) (S$ 1050.00)
(S$ 1050.00)
(S$ 1050.00)
Nett Course Fee S$ 1500.00 S$ 450.00 S$ 450.00
S$ 450.00
S$ 450.00

GST (7%) on nett course fee

S$ 105.00

S$ 31.50

S$ 31.50

S$ 31.50

S$ 31.50

Total Nett Course Fee Paybale, including GST S$ 1605.00 S$ 481.50 S$ 481.50
S$ 481.50
S$ 481.50

Less: Additional Funding if eligible under various schemes

-

-

(S$ 300.00)

(S$ 375.00)

(S$ 300.00)

Total Nett Course Fee Payable, including GST, after additional funding from the various funding schemes

S$ 1605.00

S$ 481.50

S$ 181.50

S$ 106.50

S$ 181.50

 Remarks:

  • Individual Sponsored
    • Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding
  • Company Sponsored
    • Absentee Payroll claimable by SMEs: Up to 80%of hourly basic salary capped at $7.50/hr
    • Absentee Payroll claimable by Non-SMEs: Up to 80% of hourly basic salary capped at $4.50/hr
    • Absentee payroll claimable by companies (SMEs and Non-SMEs) sponsoring candidates under WTS Scheme: Up to 95% of hourly basic salary


 Course Leader

 Associate Professor Anthony K. H. Tung

 Registration

 Fill up the application form (Download the application form) and email to This e-mail address is being protected from spambots. You need JavaScript enabled to view it