Overview

Learn to use a variety of data techniques drawn from the fields of machine learning, data visualisation, Big Data and many others to interpret large and complex datasets in an applied setting. Participants in this course will delve further in data analysis with prior knowledge in Python programming, and enhance their analytical skills.

Next Course Starts On12 Sep 2023 (Tue)
FeesSGD10368.00* (as low as SGD1190.40* after maximum funding)
Duration Please refer to respective modules for dates.
Weeknights (7pm - 10:30pm)
Saturday (9am - 6:00pm)
VenueOnline
LevelIntermediate

Learning Objectives

1
An introduction to large scale data analysis with Cloud Computing by harnessing the power of virtual machines deployed on the Amazon Web Services cloud
2
Build a strong analytical mindset along with the technical skills to uncover, analyse and evaluate patterns from data
3
Complete a practical capstone project to add to their portfolio to showcase their Python and Data Analysis competencies

Who Should Attend

1
Data science professionals
2
Managers looking to explore predictive modelling
3
Those interested in learning and applying advanced data analysis techniques

Prerequisites

Experience in Python programming (equivalent to that attained inProfessional Certificate in Python Programming programme)

System Requirements

Functional Laptop:
(1) CPU must be of at least Intel Core I3
(2) GPU must have an integrated graphics card
(3) RAM must be of at least 4GB

Assessment

  • Classroom exercises
  • Project presentations

Certification

Upon completion of all 6 modules within a maximum duration of 3 years, participants will be awarded a digital Advanced Certificate in Applied Data Analytics.

Fees And Funding

Participant ProfileSelf-SponsoredSME (Company Sponsored)Non-SME (Company Sponsored)
Singapore Citizen < 40 years old
Permanent Resident
LTVP+
$3,110.40
(After SSG Funding 70%)
$1,190.40
(After SSG Funding 70% + ETSS Funding 20%)
$3,110.40
(After SSG Funding 70%)
Singapore Citizen ≥ 40 years old$1,190.40
(After SSG Funding 70% + MCES Funding 20%)
$1,190.40
(After SSG Funding 70% + MCES Funding 20%)
$1,190.40
(After SSG Funding 70% + MCES Funding 20%)
International Participant$10,368
(No Funding)
$10,368
(No Funding)
$10,368
(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

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. Applications via MySkillsFuture.sg must be made within 60 days before course commencement.
SMU Academy has to be informed on the Claim ID no. and claim amount in order for the correct payable course fee amount to be reflected on the invoice. Please click herefor more details on SkillsFuture Credit.
Workfare Skills Support Scheme
Workfare Skills Support (WSS) Scheme in replacement of Workfare Training Support (WTS) Scheme:
With effect from 1 July 2020, applicants who wish to apply for the WTS Scheme may refer to the WSS Scheme instead. Please click here for more details.

Company Sponsored

Enhanced Training Support Scheme
  • 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
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)

Schedule

Start Date(s)
12 Sep 2023 (Tue)

Intake Information

ModulesIntake 8Intake 9
APPLYING DATA ANALYTICS TO SALES AND MARKETING THROUGH LINEAR MODELS9, 10 & 13 May 2023
[Fully Subscribed]
12, 13 & 16 Sep 2023
[Open for Registration]
AVOIDING PITFALLS IN BUSINESS ANALYSIS THROUGH MODEL SPECIFICATION6, 7 & 10 Jun 2023
[Fully Subscribed]
3, 4 & 7 Oct 2023
[Open for Registration]
BUSINESS INTELLIGENCE WITH WEB SCRAPING AND TEXT MINING20, 21 & 24 Jun 2023
[Fully Subscribed]
24, 25 & 28 Oct 2023
[Open for Registration]
STORYTELLING WITH ADVANCED DATA VISUALISATIONS11, 12 & 15 Jul 2023
[Fully Subscribed]
14, 15 & 18 Nov 2023
[Open for Registration]
UNDERSTANDING BIG DATA WITH CLOUD COMPUTING1, 2 & 5 Aug 2023
[Fully Subscribed]
5, 6 & 9 Dec 2023
[Open for Registration]
EXECUTING PROJECTS IN APPLIED DATA ANALYTICS22, 23 & 26 Aug 2023
[Fully Subscribed]
2, 3 & 6 Jan 2024
[Open for Registration]

Speaker/Training Bio

ian trainer image
Ian Choo
Founder, SG Code Campus

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 trainer image
Sun Chang
Senior Data Scientist, Grab

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.

philip beh trainer image
Philip Beh
Software Developer, TEKsystems

Philip holds a Master of Science in Computing from the National University of Singapore and a Bachelor of Computer Science from the University of Malaya. He has worked as a software engineer in Singapore and Malaysia and was involved in in a range of projects including backend applications used by telecommunications providers (eg. Maxis, Digi, Celcom), web applications used in the Malaysian banking sector and embedded software running on network recorders collecting traffic video data used by the Land Transport Authority of Singapore (LTA). As a contracted developer at TEKsystems, he is currently deployed at Facebook, where he works on product systems automation.

Philip believes that as technology becomes increasingly entrenched in our everyday lives, a practical education in programming and data science will become more important to every individual regardless their age or stage in career. He seeks to tap into his software engineering experience and academic background in computer science to bring this learning to all his students.

Testimonial

I appreciate how detailed and dedicated the lecturers, Dr Chang Sun, Bin Huang and Natasha Waliany are, and how beginner-friendly they have made the course to be.

It all started with my curiosity about the current data boom and wanting to keep up with the industry trends. Today, I am delighted to share that I have successfully achieved the Advanced Diploma in Applied Data Analytics (Python) from SMU Academy!

Along with my Capstone Project mates, I enjoyed the process of using data analytics to analyse crime trends in Washington DC and the opportunity to explore different ensemble learning methods for classification, regression, and prediction during our training!

Weilun Liang, William
Senior Technical Services Engineer, Singapore Airlines
Overview
Topics
Who Should Attend
Fees And Funding
Schedule
Speaker/Training Bio