Overview
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.
What you will learn
Topics in this Text Mining and Big Data for Decision Making course at Singapore University of Social Sciences 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.
Programme Structure
The program focuses on:
- Text mining terminology and hierarchy
- Challenges in dealing with text
- Text mining process and applications
- Various Big Data analytics techniques
- Challenges of Big Data
Key information
Duration
- Full-time
- 1 days
Start dates & application deadlines
- Starting
- Apply before
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Language
Delivered
Campus Location
- Singapore, Singapore
Disciplines
Data Science & Big Data View 16 other Short Courses in Data Science & Big Data in SingaporeWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course discusses unique challenges and opportunities for organizations.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
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Tuition Fees
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International Applies to you
Applies to youNon-residents650 SGD / full≈ 650 SGD / full -
Domestic Applies to you
Applies to youCitizens or residents650 SGD / full≈ 650 SGD / full
Living costs
Singapore
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.