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Advanced Certificate in Applied Data Analytics

  • Analytics & Tech
  • Innovation & Business Improvement
  • Intermediate
  • SkillsFuture
  • Full Certificates
  • This module is part of Industry Graduate Diploma in Python Programming and Applied Data Analytics

This programme is conducted online.

Next course starts on
To be advised
Fee
SGD10,464* (as low as SGD1,219.20 after maximum funding) Learn More
Duration

Please refer to respective modules for dates. 

Weeknights (7pm - 10:30pm)
Saturday (9am - 6:00pm)

Level
Intermediate

Who Should Attend

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

PREREQUISITES

  • Experience in Python programming (equivalent to that attained in Professional 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 and (3) RAM must be of at least 4GB

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.

Learning Objectives

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

Topic/Structure

To achieve the Advanced Certificate in Applied Data Analytics, participants will need to complete the following modules offered by SMU Academy in sequential order:

Applying Data Analytics to Sales and Marketing through Linear Models
Avoiding Pitfalls in Business Analysis through Model Specification
Business Intelligence with Web Scraping and Text Mining
Storytelling with Advanced Data Visualisations
Understanding Big Data with Cloud Computing
Executing Projects in Applied Data Analytics
 

This course is also a part of the Industry Graduate Diploma in Python Programming and Applied Data Analytics.

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.

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+

$3,139.20

(After SSG Funding 70%)

$1,219.20

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

$3,139.20

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$1,219.20

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

$1,219.20

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

$1,219.20

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

International Participant

$10,464

(No Funding)

$10,464

(No Funding)

$10,464

(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

Ian Choo
Founder
SG Code Campus
Ian Choo
Founder
SG Code Campus
Ian, with a Master's in Management Science & Engineering from Stanford and a Bachelor's in Applied Mathematics & Economics from UC Berkeley, delved into Computational Engineering and Machine Learning during his Stanford studies. As a quant risk manager at Barclays Investment Bank, he refined his skills in data analysis, risk engine programming, and financial modeling in Python, R, VB.NET, and FORTRAN. Founding SG Code Campus, Ian designs and teaches curricula in Web & Mobile Programming, Cloud Computing, Data Science, and Machine Learning for diverse audiences, including kids, youths, Polytechnic and University students, and professionals. He continuously enhances teaching methods to engage learners effectively across different age groups and backgrounds.
Philip Beh
Software Developer
TEKsystems
Philip Beh
Software Developer
TEKsystems
Philip, a Software Developer at TEKsystems, holds an MSC in Computing from the National University of Singapore and a BCS from the University of Malaya. With experience in Singapore and Malaysia, he has contributed to diverse projects, including backend applications for telecom giants like Maxis, Digi, and Celcom, web apps for Malaysian banks, and embedded software for the Land Transport Authority of Singapore. At TEKsystems, he's currently deployed at Facebook, focusing on product systems automation. Philip advocates for a practical education in programming and data science, emphasising their relevance across all ages and career stages. Leveraging his software engineering background and academic expertise, he aims to impart this knowledge to his students, recognising the increasing integration of technology in everyday life.
Sun Chang
Senior Data Scientist
Grab
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 Visualisation, 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.

Testimonials

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! 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. 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

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