Advanced Certificate in Applied Data Analytics Module 1: Introduction to Python and Data Analytics
- Analytics & Tech
- Digital Marketing & Comms
This programme is conducted online.
3 days
Weeknights (6.30pm - 10:45pm)
Saturday (9am – 6.15pm)
Who Should Attend
- Data analysts and engineers who want to gain insights in end-to-end data pipelines
- Software developers and engineers looking to expand their knowledge of data processing workflows
- Cloud practitioners planning to use Cloud services for data pipelines and analytics
- Project managers or team leads who need an understanding of data pipeline to better communicate with technical teams and stakeholders
- Aspiring data professions seeking a foundational understanding of modern data pipelines and cloud technologies
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
Participants will begin by learning Python syntax, variables, data types, and control flow statements, as well as lists and dictionaries for data organisation. They will then progress to creating functions, and learning practical tools useful in data analytics like list comprehension, error handling, and file handling. They will also be introduced to object-oriented programming to enable them to use libraries effectively. Building on these fundamentals, participants will then delve into using the data analytics libraries Numpy and Pandas for powerful data processing and analysis. By the end of this module, participants will gain an appreciation for how Python programming works, and have the skills to write efficient Python programs and analyse structured data effectively.
This module is part of a sequential programme and is not available on a standalone basis.
Learning Objectives
- Understand Python syntax, data types, and control flow to write efficient programmes.
- Utilise functions, loops, and data structures for problem-solving and code reuse
- Apply object-oriented programming concepts, including classes, objects, and their attributes
- Manipulate and analyse data effectively using NumPy arrays and Pandas DataFrames
Topic/Structure
- Python Basics
- Functions, Error Handling, File Input/Output, and Object-Oriented Programming
- Data Wrangling with Numpy and Pandas
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
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$784.80 (After SSG Funding 70%) |
$304.80 (After SSG Funding 70% |
$784.80 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$304.80 (After SSG Funding 70% |
$304.80 (After SSG Funding 70% |
$304.80 (After SSG Funding 70% |
|
International Participant |
$2,616 (No Funding) |
$2,616 (No Funding) |
$2,616 (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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