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Mastering Data Analysis with Python

Funding Validity Period

10 September 2025

-

9 September 2027

Funded

Course Overview

This course aims to equip learners with the knowledge and skills to develop python programs. Python is one of the most versatile software programming languages and is widely used in AI and machine learning. Its versatility also extends to business intelligence tools. This course will help learners learn the syntax and program logic techniques of python and apply it to creating data analysis routines as well as to use python libraries for data visualization in Power BI Desktop and Tableau.

Skills Acquired

By the end of this course, learners will be able to:

Understand the characteristics of the programming language that is suitable for business use
Apply best practice to create program designs and code structures and organisation
Develop algorithm and data structure in Python according to business requirements
Apply multiple functions and libraries available in Python on business requirements
Resolve errors and bugs using problem-solving and error handling techniques in Python
Address business objectives and processes with Python solution
Incorporate program enhancements to produce desired outcomes
Apply code documentation for changes in code to address business changes

Learning Modules

Learning Unit 1: Understand the Concept of Software Development

Understanding software programming
Introduction to Python

Learning Unit 2: Enhance Programming Design Approach through Design and Scripting Tools like Pseudo-Code and Flowchart

Creating program description and specification approach
Tools to design program scripts

Learning Unit 3: Understanding Different Data Structure Types and Variables in Python

Create algorithm to perform computations in Python
Apply various data structure for variables and lists

Learning Unit 4: Understand Python Programming Syntax with Functions and Libraries for Data Analysis

Using types of functions and procedures to address business requirements
Incorporating Python libraries for data analysis

Learning Unit 5: Create Routines for Problem-Solving and Error Handling with Conditional Statements

Using conditional statements for problem solving
Routines for error handling

Learning Unit 6: Create Different Loop Routines with Variables in Python

Using different loop statements

Learning Unit 7: Enhance Python Codes to Support Data Visualisation

Embedding codes and libraries to enhance data visuals

Learning Unit 8: Enhance Code Readability for Code Maintenance in Python

Enhancing code maintenance with good documentation practice

Who is this course for

This training is relevant to all workers, PMETs, executives and professionals who are required to perform tasks automation and data analysis to engage with stakeholders and target audience to promote a business case as well as to present Management with business insights to facilitate decision making.

Academic prerequisites

This training is relevant to all workers, PMETs, executives and professionals who are required to perform tasks automation and data analysis to engage with stakeholders and target audience to promote a business case as well as to present Management with business insights to facilitate decision making.

Course Fees

Fees	Small Medium Enterprises (SMEs)	Non Small Medium Enterprises	Singaporean Employees aged 40 years and above
Full Fee	$950.00	$950.00	$950.00
9% GST (on full course fee)	$85.50	$85.50	$85.50
Funding Amount	$665.00 (70% off course fee)	$475.00 (50% off course fee)	$665.00 (70% off course fee)
Nett Fee Payable (incl. GST)	$370.50	$560.50	$370.50

SME: Company registered or incorporated in Singapore AND employment size of not more than 200 or with annual sales turnover of not more than $100 million
Non-SME (MCES): Employee is Singaporean aged 40 years and above

Course Fee Funding: SME: 70% of course fee Non-SME: 50% of course fee Non-SME(MCES): 70% of course fee

Eligible for Absentee Payroll Funding

Capped at $4.50 per hour per trainee and a maximum of $100,000 per enterprise per calendar year

Eligible for SkillsFuture Enterprise Credit (SFEC)

Fees	Singapore Citizens (40 years and above)	Singapore Citizens (21 to 39 years old) & Permanent Residents (21 years old and above)
Full Fee	$950.00	$950.00
9% GST (on full course fee)	$85.50	$85.50
Funding Amount	$665.00 (70% off course fee)	$475.00 (50% off course fee)
Nett Fee Payable (incl. GST)	$370.50	$560.50

MCES: Singaporean aged 40 years and above
Normal: Singaporean / PR aged 21 years and above

Course Fee Funding: MCES: 70% of course fee Normal: 50% of course fee

Eligible for SkillsFuture Credit
Eligible for PSEA Funds
Eligible for UTAP funding

Mastering Data Analysis with Python

Course Highlight

Course Duration

16 HRS

Training Time

9am-6pm

Mode of Training

Classroom

Course Reference Number

TGS-2025059157

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Mastering Data Analysis with Python

Course Overview

Skills Acquired

Learning Modules

Who is this course for

Academic prerequisites

Course Fees

Mastering Data Analysis with Python

Course Highlight

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