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Advanced Certificate in Applied Data Analytics Module 1: Applying Data Analytics to Sales and Marketing through Linear Models (Synchronous e-Learning)

  • Analytics & Tech
  • Digital Marketing & Comms
  • Intermediate
  • SkillsFuture
  • Full Certificates
  • This module is part of Advanced Certificate in Applied Data Analytics

This programme is conducted online.

Next course starts on
To be advised
Fee
SGD1,744* (as low as SGD203.20 after maximum funding) Learn More
Duration

3 days
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

Despite the explosion of data modelling techniques, machine learning and big data, linear models continue to be the workhorse of many data-driven workflows and analyses. With linear models set as convenient benchmarks for the performance of modelling and learning techniques, such skill set is relevant for any analyst to extensively create or interpret data.

Participants in this programme will learn to perform Linear and Logistic Regression to model continuous and discrete outcomes. They will also learn various quantitative methods to achieve the best results.

This module is part of a sequential programme and is not available on a standalone basis.

Learning Objectives

  • Identify the situations and modelling contexts using regression or classification 
  • Conduct regression and classification analyses with linear models via the scikit-learn package
  • Focus on the interpretation of models broadly defined in two main categories - inference and forecasting
  • Learn to best evaluate the suitability and performance of linear models

Topic/Structure

  • Understand the use of inference as an imperfect tool to provide evidence of cause and effect in Linear Regression
  • Utilise linear models to generate predictions
  • Learn various quantitative techniques to decide which input features to include in a linear model

Assessment

  • Individual assessment
     

CERTIFICATION

Upon meeting the attendance and assessment criteria, participants will be awarded a digital certificate for participating in each module. Please refer to our course policies to view the attendance and assessment criteria. 

Upon completion of all modules required for this programme within a maximum duration of 3 years, participants will be awarded a digital certificate.

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+

$523.20

(After SSG Funding 70%)

$203.20

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

$523.20

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$203.20

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

$203.20

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

$203.20

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

International Participant

$1,744

(No Funding)

$1,744

(No Funding)

$1,744

(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.

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