course-banner-img Data Analytics-7

Data Analysis using Python

Topic:Data Analytics & Visualisation

Course Type:Short & Modular Courses

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Overview

  • Course Date:

    15 Feb 2022 to 16 Feb 2022
  • Registration Period:

    31 Dec 2021 to 27 Jan 2022
  • Time:

    09:00 AM to 06:00 PM,
    16 hrs / 2 days
  • Mode of Training:

    -
  • Venue:

    Facilitated Learning (Online Synchronous)
  • Funding:

    Eligible for SkillsFuture Credit

*Please note that once the maximum class size is reached, the online registration will be closed.
You may register your interest, and would be notified if there is new run.
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Course Objective

Analyst job involves gathering data from internal and external sources as well as cleaning data to remove duplicates or irrelevant information. Besides performing data validation and quality control, a Data Analyst has to be proficient in using computational tools to mine data and identify trends, patterns and correlations. By going through the course, participants will be able to pick up a commonly used computational open-source programming language such as Python, which has a wide selection of matured libraries to assist in manipulating data and draw insights from large data sets.

This course aims to introduce participants to Python, a general purpose programming language commonly used in data science by companies to gain insights from harvested data for competitive advantage. Participants will learn ways to import, scrape, store and manipulate data as well as Python libraries and data science tools commonly used for data analysis.

Course Outline

• Introduction to Data Analysis
• Python basics
• Python List
• Python Dictionaries
• Python Functions and packages
• Introduction to NumPy 
• Introduction to Pandas
• Data visualisation basics with Python
• Real world data analysis examples

Minimum Requirements

Participants must be computer literate and have basic knowledge in using Windows or Mac application.

Certification / Accreditation

• Certificate of Attendance (electronic Certificate will be issued)
A Certificate of Attendance will be awarded to participants who meet at least 75% attendance rate

• Certificate of Performance (electronic Certificate will be issued)
A Certificate of Performance will be awarded to participants who pass the examination and meet at least 75% attendance rate

Suitable for

Data Analysts, Business Intelligence Managers, Executives, Professionals, Data Engineers

Course Fees

Full Fees (before GST): $800.00

Applicants/Eligibility SkillsFuture Funding GST* Subsidised Fee (after GST)
Singapore Citizens aged 40 and above¹ $720.00 $19.20 $99.20
Singapore Citizens aged below 40 $560.00 $19.20 $259.20
Singapore Permanent Residents and LTVP+ Holder $560.00 $19.20 $259.20
SME-sponsored Singapore Citizens, Permanent Residents and LTVP+ Holders² $720.00 $19.20 $99.20
Others (Full fees payable) $0.00 $64.00 $864.00

*As announced at Budget 2022, there will be no increase in government fees and charges for Singaporeans from 1 Jan 2023 to 31 Dec 2023. Also, as per SSG’s policy, the GST payable for all funding-eligible applicants is calculated based on prevailing GST rate after baseline funding subsidy of 70%

Singaporeans aged 25 years and above may use **SkillsFuture Credit balance to offset respective course fees.

¹ Under the SkillsFuture Mid-career Enhanced Subsidy. For more information, visit the SkillsFuture website here
² Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) Scheme. For more information of the scheme, click here. To view SP’s list of similar funded courses, click here. Please submit the attached “Declaration Form for Enhanced Training Support Scheme for SME” together with your online application.


Funding Incentives

Please click here for more information on funding incentives.


Application Procedure

1. All applications must be made via Online Registration at www.pace.sp.edu.sg
Course fees can be paid by the following payment modes:

a) Credit Cards, Internet Banking, NETS (Not Applicable for company sponsored)
For e-payment using Visa/Master cards and Internet Banking, please click on the ‘Make e-Payment’ button on the acknowledgement page to proceed.

b) For NETS payment, you can pay at:
Singapore Polytechnic
One-Stop Service Centre

c) For payment via PayNow, please enter the UEN No. T08GB0056ACET and indicate the invoice/registration number. 

*With effect from 1 August 2021, cheque payment will not be available.

2. All successful applicants will be notified with a letter of confirmation via email.
 

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