Professional Certificate in Machine Learning (Python): Module 4 - Advanced Concepts in Data Modelling (Synchronous e-learning)

Analytics & Tech
Artificial Intelligence
Innovation & Business Improvement

Next Intake: 7 Jan 2025 (Tue)

Intermediate
SkillsFuture
Full Certificates
This module is part of Professional Certificate in Machine Learning (Python)

This programme is conducted online.

Next course starts on

7 Jan 2025 (Tue) See Full Schedule

Fee

SGD1,744* (as low as SGD203.20 after maximum funding) Learn More

Duration

3 days
Weeknights (7pm - 10.30pm)
Saturdays (9am - 6pm)

Level

Intermediate

Who Should Attend

Data science professionals
Professionals interested in data science programming, machine learning and artificial intelligence
Managers looking into costs and performance hurdles in predictive modelling

PREREQUISITES

Diploma with at least 3 years of working experience and/ or start-up experience
Basic programming knowledge is recommended to enrol for this 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

After all of the hard work of acquiring data and getting them into a form to work with, the goal is to draw clear, succinct conclusions from them. This crucial last step in the data analysis pipeline hinges on the principles of statistical inference. In this course, participants will build their foundation in statistical thinking and speak the language of data. Through experiments and real-world data, participants will experience the process of thinking statistically and learn to apply it to relevant fields.

This module is not available on a standalone basis.

Learning Objectives

Perform inferential analysis and parameter estimation using Python
Implement hypothesis testing, analysis of variance and test of association
Build a linear regression model for predictive analysis

Topic/Structure

Fundamentals of Inferential Analysis
Point Estimation with Python
Interval Estimation with Python
Sampling Process
Distribution Analysis with Python
Hypothesis Testing and Tests of Association
Multi-variate Linear Regression
Big Data Analysis with Pyspark

Assessment

Classroom exercises
Group assignments
Individual assignment

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

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

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 will be able to enjoy ETSS funding only if the company's SME's status has been approved. To verify your SME's status, please click here.

Please click here for more information on ETSS.

Absentee Payroll