Singapore University of Social Sciences

Text Mining and Big Data for Decision Making

Text Mining and Big Data for Decision Making (CET106)

Applications Open: 06 January 2023

Applications Close: 11 April 2023

Next Available Intake: 25 April 2023

Course Types: Short Course, SkillsFuture Series

Language: English

Duration: 1 day

Fees: $650

Area of Interest: Business Administration

Schemes: Lifelong Learning Credit (L2C)

Funding: SkillsFuture

School/Department: Centre for Continuing & Professional Education


Next Available Intakes: 25 April 2023 & 25 July 2023

Level: Basic
Venue: Singapore University of Social Sciences


We are in the midst of a data explosion that is creating unique challenges and opportunities for organizations. Unless data can help decision makers make better decisions, enhance strategic initiatives, better communicate with consumers, better allocate resources, there is little value to this resource, big or otherwise.

This course discusses the use of text mining and Big Data in decision making. Topics include text mining terminology and hierarchy, challenges in dealing with text, text mining process and applications, overview of Big Data, various Big Data analytics techniques and challenges of Big Data.

Objective

A. Knowledge and Understanding (Theory Component)

By the end of this course, participants should be able to:

  • Define text mining and its process
  • Explain the hierarchy in text mining terminology
  • Outline the challenges in dealing with text
  • Define the characteristics of Big Data
  • Explain the potential benefits and challenges of using Big Data
  • State the differences between Hadoop and the traditional databases in supporting Big Data
  • List the various Big Data analytics techniques
  • Discuss the challenges of Big Data

B. Key Skills (Practical Component)

By the end of this course, participants should be able to:

  • Recommend the appropriate analytics techniques to generate useful information to support decision-making for a variety of business and other problems

Topics

TimeAgenda
09:00 Course Overview
09:15Overview of Text Mining
10:30Break
10:45Text Mining and its Challenges
12:00Lunch
13:30 Demo on Text Mining
14:30Overview of Big Data
15:30Break
15:45 Big Data Analytics
17:00Assessment (MCQs)


About the Trainer

Professor Lee Yew Haur is currently Head of Programme for Business Analytics at the Singapore University of Social Sciences. He has more than fifteen years of experience in text mining and data mining. His main research and teaching interests are in text mining, data mining and web mining. He has also published in several international journals and conferences.

Application Procedures

Please submit the following documents to cet@suss.edu.sg:

  1. Coloured copy (back and front) of NRIC for Singaporeans and PRs, or "Employment"/"S" Pass for foreign applicant
  2. Application form

Course Fee

Course Fee for $650

1 Mid-Career Enhanced Subsidy: Singaporeans aged 40 and above may enjoy subsidies up to 90% of the course fees.
2 Enhanced Training Support for SMEs: SME-sponsored employees (Singaporean Citizens and PRs) aged 21 and above may enjoy subsidies up to 90% of the course fees. 
3 Additional subsidy for Singaporeans:  With effect from 1 January 2023, the GST rate will be revised from 7% to 8%. There will be no fee increase for Singaporeans taking SSG subsidized course(s) from 1 January to 31 December 2023.

  • Participants are required to achieve at least 75% attendance and pass any prescribed examinations/assessments or submit any course/project work (if any) under the course requirement.
  • Participants are required to complete all surveys and feedbacks related to the course.
  • The course fees are reviewed annually and may be revised. The University reserves the right to adjust the course fees without prior notice.
  • Singapore University of Social Sciences reserves the right to amend and/or revise the above schedule without prior notice.

For clarification, please contact the Centre for Continuing and Professional Education (CCPE) via the following:

Telephone: +65 6248 0263
Email: CET@suss.edu.sg
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