Shanghai, Central Plaza

2/F, 227 North Huangpi Road, Huangpu District, Shanghai, China, 200003

The Central Plaza is located on North Huangpi Road at the West side of People's Square, with the Municipal Government, the Shanghai exhibition centre and the Shanghai Museum at walking distance. People Square is the most famous administrative, commercial and cultural centre of Shanghai. People’s Square Station, connecting metro Lines 1, 2, and 8, is within walking distance. The building is a 15 minute drive to Shanghai Railway Station, and 25 minutes to Shanghai Hongqiao International Airport and High-speed Railway Station. Many 5-star hotels such as Le Meridien, the Radisson, JW Marriott Hotel, as well as various restaurants, shopping complex and financial services are located in the surrounding area. The Central Plaza offers a perfect solution for local and overseas companies looking for flexible and fully-equipped offices with comprehensive services at a reasonable price.

Shanghai, Henderson 688

16/F, 16/F, Henderson 688, No. 688, West Nanjing Road, Jing’an District, Shanghai, China, 200041

The Henderson 688 business center is located on the 16th floor of an international Grade A office tower of a modern development in the heart of the bustling West Nanjing Road CBD. West Nanjing Road is one of the most famous commercial zones in Shanghai, featuring upmarket malls, prime office buildings and the Shanghai Exhibition Centre. Henderson 688 is a landmark building close to the People’s Square, providing superb workplace environment for international corporation tenants and a retail podium with an outdoor gourmet corridor designed to be the trendiest meeting hub in Shanghai. Within its close proximity are five star hotels such as JW Marriott Hotel, Four Seasons Hotel, Park Hotel, etc. The center is conveniently served by the South-North Elevated Road and within short walk distance to Metro Line 2. It is a 25 minute drive to Hongqiao International Airport and High-speed Railway Station, and 60 minute to Pudong International Airport.

Subcategories (11)

Django

Django
Flask

Flask
PyQt

PyQt
Kivy

Kivy
Web2py

Web2py
PyGame

PyGame
SciPy

SciPy
FastAPI

FastAPI
Dask

Dask
Pandas

Pandas
NLTK

NLTK

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Backend Development with Python

 35 Hours
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 35 Hours
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Computer Vision with Python

 14 Hours
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Audience
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 14 Hours
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 7 Hours
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Natural Language Processing (NLP) with Python spaCy

 14 Hours
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  • Integrate the spaCy library with existing web and legacy applications.
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Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
  • To learn more about spaCy, please visit: https://spacy.io/
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Data Analysis with Tableau and Python

 14 Hours
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Audience
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Format of the course
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 14 Hours
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Accelerating Python Pandas Workflows with Modin

 14 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at data scientists and developers who wish to use Modin to build and implement parallel computations with Pandas for faster data analysis. By the end of this training, participants will be able to:
  • Set up the necessary environment to start developing Pandas workflows at scale with Modin.
  • Understand the features, architecture, and advantages of Modin.
  • Know the differences between Modin, Dask, and Ray.
  • Perform Pandas operations faster with Modin.
  • Implement the entire Pandas API and functions.
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Testimonials (23)

The fact of having more practical exercises using more similar data to what we use in our projects (satellite images in raster format)

Matthieu - CS Group

Course - Scaling Data Analysis with Python and Dask

Very interactive with various examples, with a good progression in complexity between the start and the end of the training.

Jenny - Andheo

Course - GPU Programming with CUDA and Python

I thought the trainer was very knowledgeable and answered questions with confidence to clarify understanding.

Jenna - TCMT

Course - Machine Learning with Python – 2 Days

Very good preparation and expertise of a trainer, perfect communication in English. The course was practical (exercises + sharing examples of use cases)

Monika - Procter & Gamble Polska Sp. z o.o.

Course - Developing APIs with Python and FastAPI

It was a though course as we had to cover a lot in a short time frame. Our trainer knew a lot about the subject and delivered the content to address our requirements. It was lots of content to learn but our trainer was helpful and encouraging. He answered all our questions with good detail and we feel that we learned a lot. Exercises were well prepared and tasks were tailored accordingly to our needs. I enjoyed this course

Bozena Stansfield - New College Durham

Course - Build REST APIs with Python and Flask

Exercises were nice

Vyshnavi Iyappan - Red Embedded Consulting Sp. z o.o.

Course - Unit Testing with Python

The explaination

Wei Yang Teo - Ministry of Defence, Singapore

Course - Machine Learning with Python – 4 Days

Very hands-on practice, engaging and good amount of breaks in between. Thus did not feel tired/lethargic.

Charles Lim - Ministry of Defence, Singapore

Course - Python for Data Analysis

Many different examples and topics has been covered, from basic investigation to login management and dynamic page management.

Daniele Tagliaferro - Creditsafe Italia Srl

Course - Web Scraping with Python

The trainer has deep knowledge about the subject and was able to answer all of our questions.

Lefteris Spatharakis - Sioufas & Associates Law Firm

Course - Django CMS for Developers

Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.

Anthea King - WesCEF

Course - Computer Vision with Python

Trainer was accommodative. And actually quite encouraging for me to take up the course.

Grace Goh - DBS Bank Ltd

Course - Python in Data Science

Subject presentation knowledge timing

Aly Saleh - FAB banak Egypt

Course - Introduction to Data Science and AI (using Python)

Trainer develops training based on participant's pace

Farris Chua

Course - Data Analysis in Python using Pandas and Numpy

The trainer was a professional in the subject field and related theory with application excellently

Fahad Malalla - Tatweer Petroleum

Course - Applied AI from Scratch in Python

The trainer was great! If he would have more time I think we could have learned a lot more.

Zarim Jei Serrano - Cloudstaff Philippines, Inc.

Course - Python Programming Fundamentals

1:1 very intensive but learnt a lot.

Karen Dyke - BT

Course - Python: Automate the Boring Stuff

The trainer was excellent, He was always ready to answer my questions and share as much knowledge as he could.

Fahad Malalla - Tatweer Petroleum

Course - Advanced Python

I mostly enjoyed everything.

Thukten Dendup - Bhutan Telecom

Course - Web Development with Django

In-depth coverage of machine learning topics, particularly neural networks. Demystified a lot of the topic.

Sacha Nandlall

Course - Python for Advanced Machine Learning

I did like the exercises.

Office for National Statistics

Course - Natural Language Processing with Python

As I was the only participant the training could be adapted to my needs.

Kevin THIERRY

Course - Web Development with Web2Py

I preferred the exercise and learning about the nooks and crannies of Python.

Connor Brierley-Green

Course - Python Programming

Upcoming Courses

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2025-05-26 09:30
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