Overview
Business Analytics practitioners are experts at analytical and technical skills to provide insights into the constant stream of collected information. Many companies today realize the value of a data-driven business strategy. Research by LinkedIn (a 2018 study) showed that demand for data science skills in Singapore surged 17 times compared to previous years. According to the Singapore government, a most effective way to bridge the data skills gap is to upskill the current workforce.
So if you are starting your analytics journey or making a transition to becoming a data scientist, it is important to have a solid grasp on foundational data science skills – the “must-have” skills that are critical to building a successful data science team or to becoming a top Data Scientist. Moreover, Business Analytics practitioners must also understand the technicalities of data management and analytics project execution processes.
This certificate course has been designed to provide you with specific skills in statistics and machine learning to efficiently carry out data analytics projects using structured & unstructured (text) data, and to acquire practical knowledge needed to help you thrive at your work. It is a course that prepares you to immediately embark on your journey to become a top data scientist.
Key Takeaways
- Define modeling solutions to solve business problems
- Understand data requirement, collate and clean data for model development
- Understand implementation issues before model development
- Develop models, test, validate and make the models ready for implementation
- Provide pseudo code and documentation which businesses can use for immediate implementation and future maintenance of the model and reference in case the redevelopment is necessary at a later stage
Modular Courses
Practice Module Application
For Stackable students who want to apply for the Practice Module of the Graduate Certificate in Business Analytics Practice, please click the button below to find out more details.
Apply Here
Fees & Subsidies
| Graduate Certificate in Business Analytics Practice |
Singapore Citizens
|
Permanent Residents
|
International/Others |
| Statistics Bootcamp II |
S$4,000 |
S$4,000 |
S$4,000 |
| Data Analytics Process and Best Practices II |
S$2,700 |
S$2,700 |
S$2,700 |
| Predictive Analytics - Insights of Trends and Irregularities |
S$4,500 |
S$4,500 |
S$4,500 |
| Text Analytics |
S$2,700 |
S$2,700 |
S$2,700 |
| Subtotal |
S$13,900 |
S$13,900 |
S$13,900 |
| NUS-ISS Subsidy |
S$5,560 |
S$2,780 |
- |
| 9% GST on nett course fee |
S$750.60 |
S$1,000.80 |
S$1,251 |
| Total nett fee payable, inclusive of GST |
$9,090.60 |
S$12,120.80 |
S$15,151 |
Note:
1. The Graduate Certificate (Grad Cert) fees above are valid from 1 July 2022 to 30 June 2025. NUS-ISS reserves the right to amend the fees without notice.
2. The subsidy applies on the start date of the first course of the Grad Cert. Full payment must be made for all courses under the Grad Cert before the start of the first course.
3. Participants who enrol for the entire Grad Cert must join the timetable for the through-train MTech programme. Participants who wish to have a more flexible timetable may opt to take the same courses under NUS-ISS Executive Education but will not be entitled to Grad Cert subsidies.
4. NUS-ISS subsidies are only for eligible self-paying participants.
5. The subsidy will be pro-rated by the courses taken in the Grad Cert. If a participant is given a waiver for a component course, the subsidy will be reduced in proportion.
6. Participants who have previously taken a course, whether in part or in full, but have not received a waiver for the course will not receive subsidy for subsequent attendance of the modular course. The overall subsidy for the Grad Cert will be reduced in proportion.
7. There is no subsidy for the Grad Cert Practice Module.
| |
Full Fee |
| Practice Module (10 Man Days) |
S$200 |
| 9% GST on nett course |
S$18 |
| Total fee payable |
S$218 |