Ly Thai To

Level 5, 41A Ly Thai To Street, Hanoi, Vietnam

The business centre is conveniently located in Sentinel Place on the corner of Ly Thai To and Tran Nguyen Han Streets. It is located within five minutes walk to the Opera House, the Metropole and the Hilton Hanoi Opera and in close proximity to The Ministry of Finance, The Hanoi People's Committee, The State Bank of Vietnam and numerous other commercial properties and foreign banks. Ly Thai To Street is a prominent street which is well known in Hanoi and provides easy of access for any visitors. Key office developments in the vicinity include BIDV Tower, 63 Ly Thai To and the Opera Business Centre and there is high-end shopping malls in the immediate locality.

Toong IPH

3rd Floor, Indochina Plaza, 241 Xuan Thuy street, Cau Giay district, Ha Noi, Vietnam

Located on the 3rd floor of Indochina Plaza, Hanoi, Toong coworking space is one of the key tenants in the whole service complex. We help complete and elevate an ecosystem of living - working - socializing - trading - and relaxing hubs for local entrepreneurs and knowledge workers.

UPGEN KEANGNAM

Level 43, Keangnam Hanoi Landmark Tower, Pham Hung Street, Nam Tu Liem District, Ha Noi, Viet Nam

Inside the tallest building in Hanoi and second tallest in Vietnam, the 72-floor skyscraper Keangnam Hanoi Landmark Tower (Landmark72) is home to one of UPGen’s most impressive spaces. This Grade-A building boasts an incredible view of the city unlike anywhere else in Hanoi. UPGen Keangnam is conveniently located just five minutes’ walk from the metro line.

Explore Our Courses

Data Mining with Weka

14 Hours

SPSS Modeler

14 Hours

Data Mining with Excel

14 Hours

Oracle SQL Intermediate - Data Extraction

14 Hours

Cluster Analysis with R and SAS

14 Hours

From Data to Decision with Big Data and Predictive Analytics

21 Hours

Data Mining and Analysis

28 Hours

Data Mining

21 Hours

Data Mining with Python

14 Hours

Data Mining with R

14 Hours

Data Vault: Building a Scalable Data Warehouse

28 Hours

Data Visualization

28 Hours

Data Mining & Machine Learning with R

14 Hours

Data Science for Big Data Analytics

35 Hours

Foundation R

7 Hours

KNIME Analytics Platform for BI

21 Hours

Platforma analityczna KNIME - szkolenie kompleksowe

35 Hours

Introductory R for Biologists

28 Hours

Statistics with SPSS Predictive Analytics Software

14 Hours

Process Mining

21 Hours

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