Level 31, 2-6 Gilmer Terrace, Wellington, new zealand, 6011
Wellington, Plimmer Towers
Located in the heart of Wellington’s CBD, Plimmer Towers is in one of Wellington’s most desirable locations; situated in the north-east of Gilmer Terrace and Boulcott Street, down Plimmer Step. With a short walk to Lambton Quay and immediate vehicle access to the Terrace and motorways and being well serviced by public transport, it’s hard to find a better positioned office, with an impressive street perspective, and panoramic views over Wellington and harbour. Overlooking the waterfront and the Golden Mile, the centre is a pivotal hub surrounded by some of the best cafés, restaurants and bars, and offering access to the premier retail strip and links to Boulcott Street. The shopping precincts; Chew’s Lane, Old Bank Arcade and Kirkcaldie & Stains are all a short walk away. Plimmer Towers includes retail, a 4 Star Travelodge Hotel, and multi-level car parking with 24/7 access. Plimmer Towers is classified as a low earthquake risk under NZSEE Rating and includes sustainable features such as energy efficient lighting and intelligent lighting controls. Centre occupants reap the benefits of first-class on-site facilities and amenities including meeting rooms, business lounge, onsite bike racks, shower and bathroom facilities, and secure lockers.
Explore Our Courses
Data Mining with Weka
14 HoursSPSS Modeler
14 HoursData Mining with Excel
14 HoursCluster Analysis with R and SAS
14 HoursData Mining and Analysis
28 HoursData Mining
21 HoursData Mining with Python
14 HoursData Mining with R
14 HoursData Visualization
28 HoursData Science for Big Data Analytics
35 HoursFoundation R
7 HoursKNIME Analytics Platform for BI
21 HoursIntroductory R for Biologists
28 HoursProcess Mining
21 HoursLast Updated:
Testimonials (10)
how the trainor shows his knowledge in the subject he's teachign
john ernesto ii fernandez - Philippine AXA Life Insurance Corporation
Course - Data Vault: Building a Scalable Data Warehouse
Open discussion with trainer
Tomek Danowski - GE Medical Systems Polska Sp. Z O.O.
Course - Process Mining
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
I genuinely enjoyed the hands passed exercises.
Yunfa Zhu - Environmental and Climate Change Canada
Course - Foundation R
Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.
Jamie Martin-Royle - NBrown Group
Course - From Data to Decision with Big Data and Predictive Analytics
The example and training material were sufficient and made it easy to understand what you are doing.
Teboho Makenete
Course - Data Science for Big Data Analytics
I thought that the information was interesting.
Allison May
Course - Data Visualization
I like the exercises done.
Nour Assaf
Course - Data Mining and Analysis
Very tailored to needs.
Yashan Wang
Course - Data Mining with R
The trainer was so knowledgeable and included areas I was interested in.
Mohamed Salama
Course - Data Mining & Machine Learning with R
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