Learn with SMU Academy

Singapore Management University
  • Gain exposure to systems and tools to handle tabular data (Microsoft Excel, Google Sheets, SQL DBMS)
  • Obtain a basic understanding of Relational Database Theory
  • Learn the fundamentals, properties and challenges of handling Big Data
  • Learn how data can be represented in tabular form

Skills You'll Get

Data Handling Tools
Relational Database Theory
Big Data Fundamentals
Tabular Data Representation

Course Overview

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.
Basic
Certificate in Technology Foundations: Unearthing the Potential of Databases, Big Data and Data Analytics
Modules Information:
1 Module (15 hours):
  • 2 weekday sessions
    (7pm - 10:30pm)
  • 1 Saturday session
    (9am - 6pm: 1 hour lunch break)
Fees:
$1,744* (as low as $203.20 after maximum funding)

*Registration is with SMU Academy

Course Duration

1 Module (15 hours):
  • 2 weekday sessions
    (7pm - 10:30pm)
  • 1 Saturday session
    (9am - 6pm: 1 hour lunch break)

Who Should Attend

  • Professionals seeking to tackle real-world problems with storing, analysing and visualising data
  • Anyone with an interest in learning basic data analysis techniques with accessible resources
  • Professionals looking to apply data-driven practices into their line of work
  • Professionals looking for practical experience with industry experts
  • No prior experience or background required

Course Fees Funding

$1,744* (as low as $203.20 after maximum funding)

*Registration is with SMU Academy

Learn from the Industry Experts

Ian Choo
Ian Choo
Chief Executive Officer, SG Code Campus,
M.Sc. Management Science & Engineering, Stanford
Ian holds graduate and undergraduate degrees in Management Science & Engineering (Stanford University) and Applied Mathematics & Economics (University of California, Berkeley). His computational expertise was developed through graduate studies in Computational Engineering and Machine Learning, followed by professional experience as a quantitative risk manager at Barclays Investment Bank. This professional role involved extensive data analysis and the development of financial models using Python, R, VB.NET, and FORTRAN, further sharpening his technical skills.
Ian's passion for education led him to found SG Code Campus, where he designs curricula for students of all ages and backgrounds in areas such as Web & Mobile programming, Cloud Computing, and Data Science. His teaching extends to Singapore Management University Academy, where he delivers the Advanced Certificate in Applied Data Analytics and Certificate in Technology Foundations courses to working professionals. Additionally, his technical leadership is exercised as Chief Technology Officer, overseeing systems deployed on AWS and Google clouds.
Natasha Waliany
Natasha Waliany
M.Sc. Computer Science, HKU,
Instructor, SG Code Campus
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.
Sun Chang
Sun Chang
Senior Data Scientist, Grab,
PhD. Computational Engineering, Singapore-MIT Alliance (NUS)
,Instructor, SG Code Campus
Sun Chang is a Senior Data Scientist at Grab with a proven track record of applying his expertise in database management, data analytics, visualisation, model training, big data, and cloud computing to drive business solutions. He holds a Ph.D. in Computational Engineering from the Singapore-MIT Alliance at the National University of Singapore (NUS) and a Bachelor's degree in Applied Mathematics with First Class Honours.
Dr. Chang's unique background blends strong academic foundations with diverse industry experience. Before joining Grab, he successfully delivered AI solutions to the healthcare and manufacturing sectors as a technical consultant. This combination of research and practical application empowers him to deliver a balanced, hands-on approach to data science education.
He currently teaches at the Singapore Management University (SMU) where he delivers classes in advanced Data Science and Analytics to working professionals under SMU Academy's Advanced Certificate in Applied Data Analytics and Certificate in Technology Foundations Series programmes.