Collecting data through technology has changed the game of analysis in businesses today. With accessible tools, companies are able to churn and gain reliable insights from Big Data efficiently. In this course, participants will learn to create reports with analytic and data visualisation tools. This enables participants to build their own interactive data dashboard for storytelling. Participants will also be exposed to the challenges and handling large Big Data in practice.
Next Course Starts On | 14 Sep 2023 (Thu) |
Fees | SGD1728.00* (as low as SGD198.40* after maximum funding) |
Duration | 3 days Weeknights (7pm - 10:30pm) Saturday (9am - 6:00pm) |
Venue | On-campus |
Level | Basic |
Individual assessment
Upon meeting the attendance and assessment criteria, participants will be awarded a digital certificate for participating in each module. Please refer to our course policies to view the attendance and assessment criteria.
Upon completion of all modules required for this programme within a maximum duration of 3 years, participants will be awarded a digital certificate.
Participant Profile | Self-Sponsored | SME (Company Sponsored) | Non-SME (Company Sponsored) |
Singapore Citizen < 40 years old Permanent Resident LTVP+ | $518.40 (After SSG Funding 70%) | $198.40 (After SSG Funding 70% + ETSS Funding 20%) | $518.40 (After SSG Funding 70%) |
Singapore Citizen ≥ 40 years old | $198.40 (After SSG Funding 70% + MCES Funding 20%) | $198.40 (After SSG Funding 70% + MCES Funding 20%) | $198.40 (After SSG Funding 70% + MCES Funding 20%) |
International Participant | $1,728 (No Funding) | $1,728 (No Funding) | $1,728 (No Funding) |
All prices include 8% GST
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
Company Sponsored
Start Date(s)
14 Sep 2023 (Thu)
Intake Information
Intakes | Dates |
Intake 5 | 16, 17 & 18 Mar 2023 [Fully Subscribed] |
Intake 6 | 14, 15 & 16 Sep 2023 [Open for Registration] |
Ian holds a Master of Science in Management Science & Engineering from Stanford University and a Bachelor of Arts in Applied Mathematics & Economics from the University of California, Berkeley. His love for computing began when he dived into the study of Computational Engineering and Machine Learning over three years as a graduate student at Stanford. After graduating, he took on a role as a quant risk manager at Barclays Investment Bank, where he got to further sharpen his craft data-munging reams of financial data, programming risk engines and coding up financial models in Python, R, VB.NET and the NAG numerical library (FORTRAN).
As founder of SG Code Campus, Ian has designed and taught curricula in Web and Mobile programming, Cloud Computing, Data Science and Machine Learning to a variety of audiences including kids, youths, Polytechnic, University students, as well as working professionals. He often spends his days working to improve his teaching and better engage learners through a different teaching approaches and course formats.
Sun Chang holds a PhD in Computational Engineering from Singapore-MIT Alliance at the National University of Singapore (NUS) and a Bachelor's degree in Applied Mathematics, where he was awarded First Class Honours by the NUS Faculty of Science.
A full-time Senior Data Scientist in Grab, Sun Chang deals extensively in the areas of Database management, Data Analytics, Data Visualization, Model Training, Big Data and Cloud Computing. He has also previously worked as a technical consultant providing AI solutions to hospitals and manufacturing industries. Sun Chang believes that the rare combination of his scholastic background, paired with a wealth of practical experience across a spectrum of diverse industries empowers him to provide his students with the ideal balance of theory and practicum in the classroom.
Natasha is a certified Apple Professional Learning Provider at SG Code Campus, an official Apple Consultants Network Partner organisation. She graduated with a Master of Science (Distinction) in Computer Science from the University of Hong Kong with a 4.0 GPA, and a Bachelors of Arts in Mathematics and Science (Great Distinction) from McGill university. Her experience as a software engineer ranges from working with startups and multinationals in Singapore and USA including IBM where she worked on data quality management solutions that helped deliver quality data for big data, business intelligence, data warehousing, application migration and master data management projects.
She has experience leading software teams at ST Electronics' i-Learning division and founded 2 startups including an iPhone app development company, where she developed the MakanSutra iOS app.