Learning Python for Data Analysis and More |

WSQ

Learning Python for Data Analysis and More

course details

Duration and Time

Training Time

Course Duration

16 HRS

Course Information

Course Reference Number

TGS-2023021750

Funding Validity Period

23 May 2023 To

22 May 2025

Mode of Training

Classroom

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 Tablea

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 outcome.
Apply code documentation for changes in code to address business changes.

Course Content

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

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.

Workforce Skills Qualifications (“ES WSQ”) Workplace Literacy (“WPL”) level 3.
Be able to read and write English at a proficiency level equivalent to ES WSQ WPL level 3.
Be able to manipulate numbers at a proficiency level equivalent to ES WSQ Workplace Numeracy (“WPN”) level 3.
Learners to have minimum GCE ‘O’ level or ITE certificate education
Learner should have at least 1 year’s working experience in any industry.
Learners must be able to operate a personal computer, use keyboard and mouse

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COURSE FEES

Company Sponsored

Funding Type	Full Fee	9% GST (on full course fee)	Funding Amount	Nett Fee Payable (incl. GST)
Small Medium Enterprises (SMEs)	$600	$54	$420 (70% off course fee)	$234
Non Small Medium Enterprises	$600	$54	$300 (50% off course fee)	$354
Singaporean Employees aged 40 years and above	$600	$54	$420 (70% off course fee)	$234

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

$4.50 per training hour capped at $100,000 per enterprise per calendar year

Eligible for SkillsFuture Enterprise Credit (SFEC)

Self-Sponsored

Funding Type	Full Fee	9% GST (on full course fee)	Funding Amount	Nett Fee Payable (incl. GST)
Singapore Citizens (40 years and above)	$600	$54	$420 (70% off course fee)	$234
Singapore Citizens (21 to 39 years old) & Permanent Residents (21 years old and above)	$600	$54	$300 (50% off course fee)	$354

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

Eligible for UTAP funding

Eligible for SkillsFuture Credit

Eligible for PSEA Funds

REGISTER TODAY

Select a date below

07 Aug , 08 Aug

12 Sep , 07 Aug

17 Oct , 18 Oct

12 Nov , 13 Nov

04 Dec , 05 Dec

Course Outline

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