Introduction
Business analytics is essential for companies to make data-driven decisions, as it turns data into a competitive advantage, knowledge and insights. Data scientists or analysts are involved in building business solutions based on big data from companies. The goal of this course is to introduce business analytics covering both fundamental and applied topics in various domains, which are necessary for those who want to apply them to address real-world challenges.
- Graduate Certificate in Artificial Intelligence and AI Plus
- FlexiMasters in Artificial Intelligence and AI Plus
At the end of the course, learners are able to:
- Explain what business analytics is about and appreciate its relevance to computer science and importance for companies.
- Describe business analytics techniques, including data management and extraction, data reprocessing, analytics and visualization in the context of real-world applications in various domains
- Describe business analytics techniques, including data management and extraction, data reprocessing, analytics and visualization in the context of real-world applications in various domains.
This course teaches general awareness of theory, knowledge, and practice in all phases of the development of business analytics solutions, adopting a hands-on approach. It provides a comprehensive introduction over business analytics, from problem formulation to data preparation, from modelling to solving the decision problems, covering both structured data and unstructured text data and graph. It is suitable for student who want to learn how to apply data analytics for business problem understanding and decision-making. Knowledge of programming in Python is a plus.
It mainly covers,
- Introduction of Business Analytics
- DBMS and OLTP
- Data Warehouse and OLAP
No pre-requisites are needed to enrol in the individual courses.
Participants need to take note that those without qualifications or prior working experience in relevant engineering or the related fields, may find the course contents challenging.
Standard Course Fee: S$1,944
- NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
Select one of the following options:
COURSE TITLE | ACADEMIC UNIT |
AI for Advance Manufacturing and Engineering | |
CET870 AI for Advanced Manufacturing and Engineering (Basic) | 1 |
CET871 AI for Advanced Manufacturing and Engineering (Intermediate) | 1 |
CET872 AI for Advanced Manufacturing and Engineering (Advanced) | |
AI for Bioimage, Signal Analysis & Healthcare | |
CET873 AI for Bioimage, Signal Analysis & Healthcare (Basic) | 1 |
CET874 AI for Bioimage, Signal Analysis & Healthcare (Intermediate) | 1 |
CET875 AI for Bioimage, Signal Analysis & Healthcare (Advanced) | |
AI for Business Analytics | |
CET877 AI for Business Analytics (Intermediate) | 1 |
CET878 AI for Business Analytics (Advanced) | 1 |
AI for Drug discovery & Protein Interactions | |
CET879 AI for Drug discovery & Protein Interactions (Basic) | 1 |
CET880 AI for Drug discovery & Protein Interactions (Intermediate) | 1 |
CET881 AI for Drug discovery & Protein Interactions (Advanced) | 1 |
AI for Computational Geonomics | |
CET882 AI for Computational Geonomics (Basic) | 1 |
CET883 AI for Computational Geonomics (Intermediate) | 1 |
CET884 AI for Computational Geonomics (Advanced) | 1 |
AI for Accelerated Materials Development | |
CET885 AI for Accelerated Materials Development (Basic) | 1 |
CET886 AI for Accelerated Materials Development (Intermediate) | 1 |
CET887 AI for Accelerated Materials Development (Advanced) | 1 |
AI for Smart City and Urban Systems | |
CET888 AI for Smart City and Urban Systems (Basic) | 1 |
CET889 AI for Smart City and Urban Systems (Intermediate) | 1 |
CET890 AI for Smart City and Urban Systems (Advanced) | 1 |
Listed courses are:
- Credit-bearing and stackable to Graduate Certificate in Artificial Intelligence and AI Plus (total 9AUs) and FlexiMasters in Artificial Intelligence and AI Plus (total 15AUs).