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2-Day Data Science (with Python) Bootcamp

  • Analytics & Tech
  • Innovation & Business Improvement
Next Intake: 18 Aug 2025 (Mon)
  • Intermediate
  • SkillsFuture
  • Short Courses

This module is conducted online.

Next course starts on
18 Aug 2025 (Mon) See Full Schedule
Fee
SGD2,180* (as low as SGD254 after maximum funding) Learn More
Duration

2 Full Days (Weekdays)

Level
Intermediate

Who Should Attend

Professionals who are keen to acquire data science skills


PREREQUISITES

  • The bootcamp is designed for professionals who have some coding background and who want to learn big data technologies.
  • All participants must have beginner level Python Programming knowledge.

Overview

Today, more and more organisations are opening up their doors to big data and unlocking its power – increasing the value of a data scientist who knows how to tease actionable insights out of gigabytes of data.

It is becoming clear by the day that there is enormous value in data processing and analysis – and that is where a data scientist steps into the spotlight. Executives have heard of how data science is a sexy industry, and how data scientists are like modern-day superheroes, but most are still unaware of the value a data scientist holds in an organisation. Whether you have never worked with Data Science before, already know the basics of Python, or want to learn the advanced features of Pandas Time Series with Python, this bootcamp is for you! 

In this intensive 2-day training, participants will be taught Data Science and Time Series with Python, NumPy, Pandas, Matplotlib, and Plotly. Comprising 30% theory and 70% hands-on with real world datasets and problems, this bootcamp provides an immersive learning experience for working professionals who want to acquire data science skills. It also includes a final project where participants get to work in a team on a more advanced topic of their choosing.

Programme Partner

WeCloudData - with the operating name Toronto Institute of Data Science and Technology accredited by the Ontario government - is the leading data and AI training company in Canada. It specialises in training in the areas of data science, data engineering, AI, cloud computing, and data analytics. Over the past five years, WeCloudData has provided data training to about two thousand students and helped hundreds of professionals or new graduates successfully land their first job in the data science and engineering fields. Ranked as the best data science bootcamp provider in Canada in 2019, WeCloudData also provides customised data science and AI training to Canadian companies. Its corporate clients include the largest Canadian banks CIBC and TD, the largest telecommunication company Bell Canada, and the biggest retailer in Canada Canadian Tire, and many start-ups.

Learning Objectives

  • Be guided through a well-organised curriculum, covering from the fundamentals in Python coding, to data manipulation with Pandas, and predictive modelling using Scikit-learn
  • Learn how to visualise data and analytical outcomes using Matplotlib and Plotly 
  • Understand different data science use cases

Topic/Structure

Assessment

As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.

 

 

Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.

 

 

Calculate Programme Fee

Click here for more infomation about SkillsFuture Credits (Not applicable for Company-sponsored participants)
For PSEA - Available only for Singapore Citizen below 31 (Not applicable for Company-sponsored participants)

Total Program Fee: SGD0.00

Fee Table

COMPANY-SPONSORED

PARTICIPANT PROFILE

SELF-SPONSORED

SME

NON-SME

Singapore Citizen < 40 years old

Permanent Resident

LTVP+

$654

(After SSG Funding 70%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$654

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$254

(After SSG Funding 70%
+ MCES Funding 20%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$254

(After SSG Funding 70%
+ MCES Funding 20%)

International Participant

$2,180

(No Funding)

$2,180

(No Funding)

$2,180

(No Funding)

All prices include 9% GST

Please note that the programme fees are subject to change without prior notice.

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

SkillsFuture Credit

Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.

This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.

Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).

Workfare Skills Support Scheme

From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.

Company Sponsored

Enhanced Training Support for SMEs (ETSS)

  • 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
  • Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
  • Trainees must be Singapore Citizens or Singapore Permanent Residents
  • Trainees must not be a full-time national serviceman
  • Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here. 

Please click here for more information on ETSS.

Absentee Payroll

Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:

AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)

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Trainers

Vinny Nguyen
Lead Data Scientist
Beam Data
Vinny Nguyen
Lead Data Scientist
Beam Data

Vinny is a Lead Data Scientist currently working at Beam Data, a Toronto-based AI consulting company. Coming from a web development background, Vinny transitioned into a Machine Learning Engineer role by working closely with clients on machine learning projects, model deployment, and building data pipelines. Vinny also has a strong passion for teaching. He not only helps WeCloudData deliver ML workshops, corporate training but also teaches the Data Science course where he helps students build data portfolios through hands-on projects.

Ren Yuan (Peter) Xue
Data Engineer
InteliRain Inc.
Ren Yuan (Peter) Xue
Data Engineer
InteliRain Inc.

Ren Yuan (Peter) Xue is an accomplished data professional with over four years of experience in developing advanced data solutions. At InteliRain, he led the creation of Python-based data pipelines and predictive models that significantly improved agricultural efficiency, reducing water usage by 34% and increasing yields by 17%. His innovative contributions earned recognition in Spud Smart's Top 10 Innovations of 2023.
Ren specializes in designing cloud-native applications on platforms such as AWS, GCP, and Azure, and is proficient in data processing tools like Spark and Pandas. He is skilled in building CI/CD pipelines using Git and Docker, ensuring seamless integration and deployment of data solutions. Holding a Master of Mathematics from the University of Waterloo, his strong foundation in computational mathematics supports his expertise in data science and machine learning using TensorFlow, PyTorch, and scikit-learn.
As an instructor at WeCloudData Academy, Ren develops and delivers data engineering curricula, equipping learners with practical skills in technologies like Snowflake, Databricks, and Kafka. Certified as an AWS Data Engineer and Solutions Architect, he combines technical acumen with a passion for innovation and education, empowering organizations and individuals to harness the power of data.

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