ANALYTICS DISTRICT PTE. LTD.

Last Updated: 14 Nov 2025

ANALYTICS DISTRICT PTE. LTD. is ACRA -registered entity that has been operating for 7 years 4 months in Singapore since its incorporation in 2018.

Officially, ANALYTICS DISTRICT PTE. LTD. is registered as Exempt Private Limited Company with its address 67 UBI CRESCENT, #05-01, TECHNIQUES CENTRE, Singapore 408560.

Country of registration	Singapore
Registration number	201826542M
Local SIC	85509: Educational support services n.e.c. (eg tuition matching services)
Incorporation date	3 Aug 2018
Company age	7 years 4 months
Official entity type	Exempt Private Limited Company
No. of officers	6

Contact

Address:

67 UBI CRESCENT, #05-01, TECHNIQUES CENTRE, Singapore 408560

Phone number:

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Associated business (1)

ANALYTICS DISTRICT
Singapore
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digital marketing
it training
global marketing
machine learning
artificial intelligence
programming languages
Government Administration
Education
At Analytics District, our mission is to foster a community of tech-savvy individuals by providing comprehensive training in programming languages, data analytics, and digital marketing. Through our expert-led courses and collaborative environment, we aim to empower professionals and entrepreneurs alike to harness the full potential of technology and drive innovation in their respective fields.

This is the legal entity page of ANALYTICS DISTRICT PTE. LTD.. To access company info, company size, news, key maker's emails, visit the profile pages above.

Financials

Revenue	< 1m
Share Capital - Ordinary shares	SGD 2

Last updated: 14 Nov 2025

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* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0. Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.

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