5-Day Big Data Bootcamp
- Analytics & Tech
- Innovation & Business Improvement
This module is conducted online.
5 Full Days Weekdays
Who Should Attend
Professionals who are keen to learn big data and AWS skills
PREREQUISITES
The big data bootcamp is designed for professionals who has some coding background and who want to learn big data technologies.
All participants must have:
- Familiarity with Python Programming and SQL
- Familiarity with Linux command line will be very helpful
- Prior knowledge of machine learning concepts and experience is nice to have
Overview
The rise of big data reflects the growing awareness of the ‘power’ behind data, and of the need to enhance gathering, exploitation, sharing and analysing the data. Analytics applications will ensure the proper exploitation of the proliferating volumes of data for a variety of business purposes, involving not only the production of simple data-driven insights on operations but also a prediction of future trends and events. Furthermore, it leads to new opportunities moving ahead, more effective operations, high profits and satisfied customers. So organisations should deal with big data analytics seriously and smartly to enhance and improve their business.
In this 5-day intensive bootcamp, participants will learn how to explore and analyse big data, train models at scale using Spark ML, and deploy models in production using SageMaker. Comprising 40% theory and 60% hands-on with real-world datasets and problems, this bootcamp also includes a final project where participants get to work in a team on a more advanced topic of their choosing.
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 of AWS, to Hadoop, and large-scale distributed data processing with Apache Spark
- Learn how to explore and analyse big data
- Train models at scale using Spark ML
- Learn how to deploy models in production using SageMaker
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
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$1,635 (After SSG Funding 70%) |
$635 (After SSG Funding 70% |
$1,635 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$635 (After SSG Funding 70% |
$635 (After SSG Funding 70% |
$635 (After SSG Funding 70% |
|
International Participant |
$5,450 (No Funding) |
$5,450 (No Funding) |
$5,450 (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)
Intake Information
This module is conducted online.
| Course | Dates |
|---|---|
| INTAKE 11 | 30 Jun- Jul 2025 [Open for Registration] |
*Online registration will close 5 calendar days before the course start date
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