Jump Start on Data Mining

Course Description

The proposed course encompasses introductory data mining and practical approaches to machining learning tools and techniques ranging from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods.  The course is structured around a few real examples to discuss the techniques of major data mining approaches. Well-designed hands-on exercises will be walked through to facilitate their applications in practice.

Learning Objectives

The course is an insightful introduction to data mining methods and practice. It gives a jump start to interested trainees to use data mining techniques in their daily work. In addition to algorithmic methods and hands on programming exercises, the course will also focus approaches to tackle real problems and interpret the results to discover meaningful insights as demonstration of the power of big data analytics. 

Learning Outcomes

At the end of the course, participants should be able to

     ~ Understand and recognize different data mining problems in practice
     ~ Understand and use classical data mining methods in regression, classification, and clustering
     ~ Perform real data analysis, and evaluate, compare, and diagnose the performance in applying the methods in practice

Who Should Attend

The target audience include fresh graduates and junior employees who have strong interests in data mining techniques, and want to use them in their day to day work. Prior experience in data mining is not required, but some programming experience can be helpful in learning the tools in data mining. 

Topics

Introduction
~ Introduction to different data mining problems
~ Model evaluation

Regression Techniques
~ Decision tree, random forest
~ Neural network,

Classification Techniques
~ Logistic regression
~ SVM

Case study and hands on tutorial
~ Introduction to Python
~ Tools and packages for machine learning

Back
Instructor
Dr. Chen Nan
Date
11 April 2018, 9am - 5pm
Venue
National University of Singapore
Status
Close for Registration
Course Fee
Standard Fee: SGD $856

* Fees indicated are inclusive of GST.

* Fees include course materials, morning and afternoon tea break.

* The course date is subject to change. Please check TDSI website www.nus.edu.sg/tdsi for programme updates. 

* Participants who fully complete the 1-day course may qualify for PDUs by the PEB.