Advanced Certificate in Applied Data Science and Analytics (I) Module 4: Machine Learning Using Python
- Analytics & Tech
- Innovation & Business Improvement
This module is conducted in-person.
3.5 Days (Weekdays)
Who Should Attend
- Ideal for non-data analysts in various industries using Excel for data work. Requires basic Tableau/Power BI skills or similar data handling exposure.
- Enhances digital literacy for competent business or data analyst roles.
PREREQUISITES
This programme is structured to provide a comprehensive learning experience. Participants are required to complete the modules in the designated sequence to ensure a solid understanding of each topic before moving on to the next.
Overview
Module 4 explores the development of essential machine learning algorithms to address prediction and forecasting challenges encountered in diverse business contexts. Building on the foundation laid in Module 1 with linear regression theory, this module introduces participants to key concepts including Logistic Regression, Decision Tree, Ensemble Methods (Random Forest and Gradient Boosting Machines) and Basics of Time Series Forecasting.
Participants will apply these algorithms using Python to tackle a range of prediction and forecasting tasks relevant to business scenarios. Practical exercises with provided datasets will reinforce their understanding and proficiency in applying these methods effectively.
Learning Objectives
At the end of the 3.5-day module, participants will be able to:
- Learn few commonly used machine learning techniques that are essential for a Data Scientist journey
- Be familiar with the data types that can be used for different algorithms
- Appreciate the variety of applications of these machine learning techniques for analysing data and perform prediction and forecasting using python
- Learn to interpret software output to assess the quality of the models and methods to improve the models for better accuracy in prediction and forecasting
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+
|
$1,144.50 (After SSG Funding 70%) |
$444.50 (After SSG Funding 70% |
$1,144.50 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$444.50 (After SSG Funding 70% |
$444.50 (After SSG Funding 70% |
$444.50 (After SSG Funding 70% |
|
International Participant |
$3,815 (No Funding) |
$3,815 (No Funding) |
$3,815 (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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