Learning Python for Data Analysis and More

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Learning Python for Data Analysis and More

Course Overview

Learning Python for Data Analysis and More

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.

Course Title

Learning Python for Data Analysis and More

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 Objectives

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.

Learning Python for Data Analysis and More
  • 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

Course Content

UNDERSTAND THE CONCEPT OF SOFTWARE DEVELOPMENT
  • Understanding software programming
  • Introduction to Python
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
UNDERSTANDING DIFFERENT DATA STRUCTURE TYPES AND VARIABLES IN PYTHON
  • Create algorithm to perform computations in Python
  • Apply Various Data Structure for Variables and Lists
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
CREATE ROUTINES FOR PROBLEM-SOLVING AND ERROR HANDLING WITH CONDITIONAL STATEMENTS
  • Using Conditional Statements for Problem Solving
  • Routines for Error Handling
CREATE DIFFERENT LOOP ROUTINES WITH VARIABLES IN PYTHON
  • Using Different LOOP Statements
Course Feature

Course Feature

Course Provider: James Cook Institute Pte Ltd
UEN: 198802365N
Course Reference Number: TGS-2023021750
Mode Of Training: Classroom
Funding Validity Period: 23 May 2023 To 22 May 2025

Learning Python for Data Analysis and More

FULL COURSE FEE$648.0
Singaporean 40 yrs and above$228.00
Singaporean 21-39 yrs / PR$348.00
Duration2 days
(16 hrs)

Available in: English

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Coursemology is an online course directory, listing short courses in Singapore to provide information on WSQ courses and SkillsFuture Subsidy to corporates and individuals. We do course listing for training providers in Singapore to improve your employability via skills upgrading and job skills upskilling through skills development courses.

About Us

Training Locations

Toa Payoh Central
Blk 190 Toa Payoh Lorong 6, #02-514 Singapore 310190 (Above KFC)

9142 8897

Jurong East Central
2 Venture Drive, Vision Exchange, #07-23 Singapore 608526

8669 1718

Tampines Central
300 Tampines Avenue 5, NTUC Income Tampines Junction #07-05, Singapore 529653 (Opposite Our Tampines Hub)

8028 6619

Mon to Sun:
8:30am to 6:00pm
Closed on Public Holidays