course-banner-img Data Analytics-3

Big Data Analytics

Topic:Data Analytics & Visualisation

Course Type:Short & Modular Courses

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Overview

  • Course Date:

    TBA
  • Registration Period:

    TBA
  • Time:

    TBA,
    16 hours / 2 days
  • Mode of Training:

    Facilitated Learning (F2F)
  • Venue:

    Singapore Polytechnic
  • 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.

Course Objective

Big Data Analytics helps to unravel customer preferences, business trends and hidden patterns by forming logical correlations which allows organisations and individuals to make informed decisions. Techniques of Big Data Analytics are applied in all functional areas within organizations including areas such as customer service, accounting, finance, human resource management, marketing, operations, and strategic planning. Analysing Big Data is the key to reveal important insights from enormous datasets which are massive, complex, and diverse in nature.

This course will introduce participants to the key areas of performing analytics on various sets of data and how different tools and approaches enable organizations to perform Big Data Analytics. The participants will develop skills which will make them more productive and become valuable assets to their organization.

Course Outline

• Big Data landscape
• Real-world Big Data problems
• Software tools used in Big Data Analytics
• Big Data modelling and management

Minimum Requirements

1. Participants are required to bring their own laptops for this training
2. Basic PC Literacy and GCE O Level Mathematics

Certification / Accreditation

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

Suitable for

Data Architect, Data Scientist (AI), IT Analyst, Data Analyst, Business Analyst, Big Data Engineer, Professionals, Managers and Executives

Course Fees

Full Fees (before GST): $750.00

Applicants/Eligibility SkillsFuture Funding GST* Subsidised Fee (after GST)
Singapore Citizens aged 40 and above¹ $675.00 $18.00 $93.00
Singapore Citizens aged below 40 $525.00 $18.00 $243.00
Singapore Permanent Residents and LTVP+ Holders $525.00 $18.00 $243.00
SME-sponsored Singapore Citizens, Permanent Residents and LTVP+ Holders² $675.00 $18.00 $93.00
Others (Full fees payable) $0.00 $60.00 $810.00

*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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