Courses and modules
These industry-relevant courses focus on equipping Singaporeans with emerging skills in areas such as Data Analytics, Cybersecurity, Design Innovation, Digital Media, Advanced Manufacturing, Unmanned Aerial Systems, and others.
Data Storytelling with Visualisation
A picture speaks a thousand words. According to the World Economic Forum, the world produces 2.5 quintillion bytes of data daily and we need to be able to quickly and effectively understand what data means and be able to make decisions based on numbers and patterns. Data visualisation helps us to identify patterns, trends, understand relationships and provide better data presentation through visuals such as graphs, charts, and information visuals.
Data Validation and Statistical Analysis with Excel
Effective data science project relies on one critical aspect, data quality. With the right data quality, statistical analysis can then take place which translates data into meaningful insights for businesses. Data Validation plays an important role in ensuring the data is correct and useful in preparation for analysis.
Data Validation and Statistical Analysis with Programming
Effective data science project relies on one critical aspect, data quality. With the right data quality, statistical analysis can then take place which translates data into meaningful insights for businesses. Data Validation plays an important role in ensuring the data is correct and useful in preparation for analysis.
Data Wrangling and Preparation with Excel
In computer science particularly, you may have heard of the phrase “Garbage in, garbage out”; and that’s true for data analysis, the importance of having quality and the right data format is critical to any data science project. Data wrangling is the function of transforming raw data into data that is usable down the data science process.
Data Wrangling and Preparation with Programming
In computer science particularly, you may have heard of the phrase “Garbage in, garbage out”; and that’s true for data analysis, the importance of having quality and the right data format is critical to any data science project. Data wrangling is the function of transforming raw data into data that is usable down the data science process.
Digital Branding: Optimising your brand for the latest digital spaces
Digital has fundamentally shifted communication between brands and their consumers from a one-way broadcast to a two-way dialogue. In a hastened bid to transform their businesses to be digital market-ready, most businesses leave their brands behind in their traditional mode, simply replicate their existing brand message for the digital platform, or are unsure of how to make a transition.
Digital Forensics
The digital forensics course is a comprehensive course covering major forensic investigation. It enables students to acquire hands-on experience in various forensic investigation techniques and necessary standard tools through cases to successfully carry out a digital forensic investigation.
Finances
Available funding
Funding type | Main eligibility |
SSG Course Fee Grant 70% of course fees (excluding GST) |
Singapore Citizens or Singapore Permanent Residents |
Mid-Career Enhanced Subsidy (MCES) Up to 90% of course fees. |
Singapore Citizens aged 40 years and above
|
Enhanced Training Support for SMEs (ETSS) Up to 90% of course fees and 80% of basic hourly salary capped at $7.50/hr. |
Local or PR employees of SMEs
Organisation must be registered or incorporated in Singapore Employment size of not more than 200 or with annual sales turnover of not more than $100 million |
Union Training Assistance Programme (“UTAP”) 50% unfunded course fee support for up to $250 each year |
NTUC members
Excludes miscellaneous fees such as GST and registration fee etc UTAP application must be submitted within 6 months after course completion |
Post Secondary Education Account (“PSEA”) |
Singapore Citizens
|
Information is a guide based on subsidy/funding provider. Participants are strongly advised to check the respective websites for the most updated eligibility requirements.