Advanced Diploma in Business Analytics for Data-Driven Decision Making with Python Programming
- Analytics & Tech
- Innovation & Business Improvement
This programme is conducted either online or on-campus.
Please refer to respective modules for dates.
Part 1: Professional Certificate in Python Programming
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)
Part 2: Business Analytics for Data-Driven Decision Making (with Python)
Online Intake
3 days
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)
On-campus Intake
3 days
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)
Who Should Attend
- Managers, Data Analysts, Professionals, and Executives involved in the analysis, interpretation and presentation of data for decision-making across various business functions such as marketing, customer service, and corporate communications.
- Aspiring data science professionals seeking to apply Python to real-world data problems such as business intelligence analysts, and data engineers.
Overview
Participants will tackle real-world business scenarios with the data that they work on, allowing them to apply their newfound knowledge and skills to practical situations commonly encountered in day-to-day business practices. They will also be familiarised with the latest tools, techniques, and best practices in the field of business analytics.
Learning Objectives
- Acquire a strong foundation in Python programming and its applications in the business analytics industry
- Gain understanding of data-driven decision-making and its importance in the business world
- Learn to gather, process, and analyse data to gain meaningful insights and inform strategic business decisions
- Develop hands-on experience with various data analysis methods such as statistical analysis, causal inference, machine learning, and predictive modelling
- Identify patterns in data, make predictions about future trends, and draw actionable insights
- Apply knowledge and skills to real-world business scenarios through hands-on experience
- Obtain a comprehensive understanding of business analytics, data-driven decision-making, and the use of Python programming to drive business success.
- Explore how data-driven decision-making can inform various business capacities such as marketing, HR management, operations, and finance
- Learn when, why, and how to effectively utilise Python data science toolkits in response to business and policy questions
- Internalise business analytics workflows using Python programming
- Improve business and policy decisions through the use of computational data analytics with Python programming
Topic/Structure
Part 1: Professional Certificate in Python Programming
- Basics of Python Programming
- Data Structures in Python
- Advanced Functions and Data Structures in Python
- Object-Oriented Programming in Python
- Basic Data Wrangling in Python
- Capstone Project in Data Analytics
Part 2: Business Analytics for Data-Driven Decision Making (with Python)
- Customer Segmentation and Personalisation
- Predicting Customer Lifetime Value and Attrition
- Programme Evaluation and Causal Inference
- Algorithmic Trading and Computational Finance
- Natural Language Processing and Customer/ Employee Reviews
- Interactive Dashboard and End-to-End Business Analytics for Decision-Making
Assessment
- Classroom exercises
- Group assignments
CERTIFICATION
The Advanced Diploma qualification will be conferred on participants who successfully complete both the Professional Certificate in Python Programming and the Advanced Certificate in Business Analytics for Data-Driven Decision Making (with Python) sequence within 3 years of commencing the first module.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$7,848 (After SSG Funding 70%) |
$3,048 (After SSG Funding 70% |
$7,848 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$3,048 (After SSG Funding 70% |
$3,048 (After SSG Funding 70% |
$3,048 (After SSG Funding 70% |
|
International Participant |
$26,160 (No Funding) |
$26,160 (No Funding) |
$26,160 (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 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
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)
Intake Information
Part 1: Professional Certificate in Python Programming
| Modules | Intake 44 | Intake 45 |
|---|---|---|
| Basics of Python Programming | 5, 7 & 9 Nov 2024 [Registration Closed] | 14, 16 & 18 Jan 2025 [Open for Registration] |
| Data Structures in Python | 26, 28 & 30 Nov 2024 [Registration Closed] | 4, 6 & 8 Feb 2025 [Open for Registration] |
| Advanced Functions and Data Structures in Python | 17, 19 & 21 Dec 2024 [Registration Closed] | 25, 27 Feb & 1 Mar 2025 [Open for Registration] |
| Object-Oriented Programming in Python | 7, 9 & 11 Jan 2025 [Registration Closed] | 18, 20 & 22 Mar 2025 [Open for Registration] |
| Basic Data Wrangling in Python | 4, 6 & 8 Feb 2025 [Registration Closed] | 8, 10 & 12 Apr 2025 [Open for Registration] |
| Implementing Capstone Projects in Data Analytics in Python | 25, 27 Feb & 1 Mar 2025 [Registration Closed] | 29, 30 & 3 May 2025 [Open for Registration] |
Part 2: Business Analytics for Data-Driven Decision Making (with Python)
| Modules | Intake 7 (Online Intake) | Intake 8 (On-campus Intake) |
|---|---|---|
| Module 1: Customer Segmentation and Personalisation | 19, 20 & 22 Feb 2025 [Open for Registration] | 5, 6 & 8 Feb 2025 [Open for Registration] |
| Module 2: Predicting Customer Lifetime Value and Attrition | 12, 13 & 15 Mar 2025 [Open for Registration] | 26, 27 & 1 Mar 2025 [Open for Registration] |
| Module 3: Programme Evaluation and Causal Inference | 2, 3 & 5 Apr 2025 [Open for Registration] | 19, 20 & 22 Mar 2025 [Open for Registration] |
| Module 4: Algorithmic Trading and Computational Finance | 7, 8 & 10 May 2025 [Open for Registration] | 16, 17 & 19 Apr 2025 [Open for Registration] |
| Module 5: Natural Language Processing and Customer/ Employee Reviews | 11, 12 & 14 Jun 2025 [Open for Registration] | 14, 15 & 17 May 2025 [Open for Registration] |
| Module 6: Interactive Dashboard and End-to-End Business Analytics for Decision-Making | 9, 10 & 12 Jul 2025 [Open for Registration] | 18, 19 & 21 Jun 2025 [Open for Registration] |
