Workshops

This academic year, we're offering an exciting line-up of workshops open to everyone, regardless of skill levels or schools.

Data Handling

Data Visualisation

Data Science

Timeline

Pandas Workshop

Explore the Pandas library in Python to manipulate and analyze data effectively. This hands-on workshop will cover data cleaning, transformation, and exploration techniques essential for any data scientist.

Excel Workshop

Learn advanced Excel techniques to handle and analyze large datasets. This workshop will focus on creating impactful dashboards and leveraging Excel for business intelligence tasks.

Alumni Networking Night

An opportunity to network with DAP alumni, hear about their experiences in the data analytics industry, and gain valuable career insights that will help you succeed in the field.

Finals Welfare

A session designed to provide support and resources to help students prepare for their finals. Enjoy stress-relief activities, study tips, and guidance to help you succeed during exam season.

Tea Session

Join us for an informal tea session where you can connect with mentors and fellow students. This is the perfect time to discuss data science topics, share ideas, and unwind.

BIA Picnic

Enjoy a relaxed afternoon with fellow DAP members at the BIA Picnic. Participate in informal discussions about data analytics, enjoy the outdoors, and build lasting connections with peers.

Data Associates Programme

SMU BIA's flagship academic programme

DAP is a project-oriented learning programme where mentees can learn through self-initiated projects in small groups and weekly theory sessions in tandem.

Through mentoring, DAP aims to equip our associates with important data science knowledge and skills by creating a co-learning community.

Co-learning

Project

Community

Highlights from DAP

ASL Fingerspelling Detection Tool

Team: Jolene Yeo, Regine Tan, Rheza Paleva, Vicky Qu
Mentor: Jowett

As part of our DAP project, we delved into the realm of American Sign Language (ASL), exploring how we could harness machine learning to create a model capable of detecting and spelling out the sign languages given by the user.

HDB Price Prediction Model

Team: Elijah Khor, Htoo Myat Naing, Ivan Yeo, Keng Boon
Mentors: King Yeh, Gabriel Sidik

We created new features for each individual flat using the OneMap API such as coordinate data, postal code, and distances from places of interest. We then clustered the data by sector code and coordinates, before comparing different Regression methods to find the optimal model.

Lyrics Machine

Team: Phyo, Rafe, Charmaine, Shu Rui
Mentors: Gabriel Sidik, Renata

Ever wondered how cool it would be if we could use machine learning to generate some sick lyrics? That was exactly what went through our minds while writing the project proposal for SMUBIA's Data Associate Programme.