Professional Certificate in Python Programming Module 5: Basic Data Wrangling in Python (Synchronous e-learning)
- Analytics & Tech
- Innovation & Business Improvement
This programme is conducted online.
Intake 43:
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)
Intake 44:
Weeknights (7pm - 10:30pm)
Saturday (9am - 6pm)
Who Should Attend
- Aspiring data science professionals seeking to apply Python to real-world data problems e.g. business intelligence analysts, data engineers
- Anyone with an interest in learning the fundamentals of data science programming
- Professionals looking for a deeper understanding and hands-on experience with professional educators who are also industry experts
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
This course covers the usage of the popular Python libraries NumPy, Pandas and Matplotlib to manipulate, transform and visualise data – the building blocks for data science and machine learning. Participants will better understand the data and be able to extract information, perform more effective analyses and make more informed decisions.
This module is part of a sequential programme and is not available on a standalone basis.
Learning Objectives
- Understand basic principles of data wrangling
- Learn to use the popular Python libraries Numpy, Pandas and Matplotlib
- Perform analyses on datasets using these libraries
Topic/Structure
- Manipulating Data with Numpy
- Analysing Data and Dataframes with Pandas
- Visualising Data with Matplotlib
- Applied Data Analysis Example
Assessment
- Group assignments
- Project presentations
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% |
$523.20 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$203.20 (After SSG Funding 70% |
$203.20 (After SSG Funding 70% |
$203.20 (After SSG Funding 70% |
|
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
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
Intake 43: 17, 19 & 21 Dec 2024 [Registration Closed]
Intake 44: 4, 6 & 8 Feb 2025 [Open for Registration]
Additional Details
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