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Taipei, Aurora

3/F, No.183, Zhouzi St, , Neihu Dist., Taipei, taiwan, 11493

AThe Regus Aurora Business Centre is located in the heart of Neihu Science Park, a popular choice for high-tech companies to set up their headquarters. Major corporates in this area are involved in telecommunications, IT, electronics manufacturing, media, retail and logistics. Companies include Honhai, Compal, AUO, BENQ,, FET, Advantech, MITAC, DELTA and D-Link. The area is well supported by a selection of restaurants, hotels, retail malls and banks. The centre has easy access to many means of public transportation including MRT, taxi and bus. Xihu station on the Neihu Line and the bus station are within a one minute walk from the centre. The central location and amenities make Regus Aurora Business Centre an excellent choice for international and domestic companies looking for flexible and fully equipped office space at a reasonable price.

Taipei- Concord

8/F, No.367, Fuxing N. Rd., Taipei, taiwan, 10543

The Taipei Concord business centre is located in the north of SongSan district, close to main roads Fuxing N Road, Minquan East Road and Minsheng East Road, serves as an important spot linking office buildings and financial organizations. Surrounded by Rongxing Garden, Sherwood Hotel, Taipei University and other landmarks, with many restaurants and shopping in the immediate vicinity. Taipei Concord Building business centre has a great location, with rapid access to all other Taipei districts by public transportation: MRT, taxi and bus. It is only 1 minute walk to Zhongshan Junior High School Station in MRT Neihu Line. There are also many bus stops nearby with direct and easy access to Neihu, Sanchung, Taoyuan and other places. It is also within 3 minutes of Songshan airport and 40 minutes to Taoyan International airport. The Taipei Concord Building centre offers a perfect solution for local and overseas companies who want to start or grow their businesses in Taipei, who are looking for flexible and fully-equipped offices with comprehensive services at a reasonable price.

Taipei Walsin Xinyi

11/F, 1 Songzhi Road, Taipei, taiwan, 11047

The office space in the Walsin Xinyi Building is in an A-grade development located at the heart of Xinyi CBD, a new business district where an increasing number of multi-national corporations choose to locate their offices. The building is surrounded by many new hotels, restaurants and high-end shopping malls such as W Hotel, Le Meridian, Shinkong Mitsukoshi Department Store and Bellavita, a high-end shopping mall. Walsin Xinyi Building provides a balance of location and building quality, with a good multi-national tenant mix. Citibank and Mitsui Japanese Restaurant are two of the many tenants of the building. The office space at Walsin Xinyi Building is only a 5-minute walk to Taipei 101 and a 2-minute walk to the Taipei City Hall subway (MRT) station.

Explore Our Courses

Introduction to Pre-trained Models

 14 Hours

This instructor-led, live training in Taipei (online or onsite) is aimed at beginner-level professionals who wish to understand the concept of pre-trained models and learn how to apply them to solve real-world problems without building models from scratch.

By the end of this training, participants will be able to:

  • Understand the concept and benefits of pre-trained models.
  • Explore various pre-trained model architectures and their use cases.
  • Fine-tune a pre-trained model for specific tasks.
  • Implement pre-trained models in simple machine learning projects.
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AWS Cloud9 for Data Science

 28 Hours

This instructor-led, live training in Taipei (online or onsite) is aimed at intermediate-level data scientists and analysts who wish to use AWS Cloud9 for streamlined data science workflows.

By the end of this training, participants will be able to:

  • Set up a data science environment in AWS Cloud9.
  • Perform data analysis using Python, R, and Jupyter Notebook in Cloud9.
  • Integrate AWS Cloud9 with AWS data services like S3, RDS, and Redshift.
  • Utilize AWS Cloud9 for machine learning model development and deployment.
  • Optimize cloud-based workflows for data analysis and processing.
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Apache Airflow for Data Science: Automating Machine Learning Pipelines

 21 Hours

This instructor-led live training in Taipei (available online or onsite) is designed for intermediate-level participants who wish to automate and manage machine learning workflows, including model training, validation, and deployment using Apache Airflow.

Upon completing this training, participants will be capable of:

  • Configuring Apache Airflow to orchestrate machine learning workflows.
  • Automating tasks such as data preprocessing, model training, and validation.
  • Integrating Airflow with various machine learning frameworks and tools.
  • Deploying machine learning models through automated pipelines.
  • Monitoring and optimizing machine learning workflows in production environments.
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Introduction to Google Colab for Data Science

 14 Hours

This instructor-led live training in Taipei (online or onsite) targets beginner-level data scientists and IT professionals who wish to learn the basics of data science using Google Colab.

By the end of this training, participants will be able to:

  • Set up and navigate Google Colab.
  • Write and execute basic Python code.
  • Import and handle datasets.
  • Create visualizations using Python libraries.
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Python Programming for Finance

 35 Hours

Python has surged in popularity within the financial sector, becoming a staple for leading investment banks and hedge funds. It is widely utilized to construct a diverse array of financial solutions, from core trading platforms to sophisticated risk management systems.

Through this instructor-led live training, participants will learn how to leverage Python to develop practical applications that address specific challenges in the finance industry.

Upon completion of this training, participants will be able to:

  • Grasp the core fundamentals of Python programming
  • Download, install, and maintain optimal development tools for building financial applications in Python
  • Select and employ the most effective Python packages and programming techniques to organize, visualize, and analyze financial data from diverse sources (CSV, Excel, databases, web, etc.)
  • Develop applications to solve issues related to asset allocation, risk analysis, investment performance, and more
  • Troubleshoot, integrate, deploy, and optimize Python applications

Audience

  • Developers
  • Analysts
  • Quants

Course Format

  • A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

  • This training focuses on providing solutions for key problems encountered by finance professionals. If you have a specific topic, tool, or technique you wish to add or explore in greater depth, please contact us to arrange accordingly.
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Introduction to Data Science and AI using Python

 35 Hours

This course delves into practical methodologies for Data Science and AI utilizing Python. It empowers professionals with the essential skills to explore data, construct machine learning models, and deploy AI-driven applications within business environments. The curriculum covers CRISP-DM workflows, statistical analysis, supervised and unsupervised learning, deep learning with TensorFlow, natural language processing, big data with Spark, and data-driven storytelling. It is ideal for beginners seeking a Python data science certification and career-ready analytics training.

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Data Science with KNIME Analytics Platform

 21 Hours

The KNIME Analytics Platform stands as a premier open-source solution for driving data-led innovation. It empowers users to uncover hidden potential within their data, extract fresh insights, and predict future outcomes. Featuring over 1,000 modules, numerous ready-to-run examples, a comprehensive suite of integrated tools, and the broadest selection of advanced algorithms, the KNIME Analytics Platform serves as the ideal toolkit for both data scientists and business analysts.

This course on the KNIME Analytics Platform offers an excellent opportunity for beginners, advanced users, and KNIME experts alike. Participants will be introduced to KNIME, learn how to utilize it more efficiently, and master the creation of clear, detailed reports based on KNIME workflows.

This instructor-led live training, available online or onsite, is designed for data professionals aiming to leverage KNIME to address complex business challenges.

The program targets individuals who may not have programming knowledge but wish to utilize cutting-edge tools to implement analytics scenarios.

Upon completion of this training, participants will be able to:

  • Install and configure KNIME.
  • Develop Data Science scenarios.
  • Train, test, and validate models.
  • Implement the end-to-end value chain for data science models.

Course Format

  • Interactive lectures and discussions.
  • Numerous exercises and practice sessions.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request customized training for this course or to learn more about this program, please contact us to arrange it.
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Machine Learning for Data Science with Python

 21 Hours

This instructor-led, live training in Taipei (online or onsite) is aimed at intermediate-level data analysts, developers, or aspiring data scientists who wish to apply machine learning techniques in Python to extract insights, make predictions, and automate data-driven decisions.

By the end of this course, participants will be able to:

  • Understand and differentiate key machine learning paradigms.
  • Explore data preprocessing techniques and model evaluation metrics.
  • Apply machine learning algorithms to solve real-world data problems.
  • Use Python libraries and Jupyter notebooks for hands-on development.
  • Build models for prediction, classification, recommendation, and clustering.
Read more...

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Testimonials (2)

Hands-on exercises related to content really helps to understand more about each topic. Also, style of start class with lecture and continue with hands-on exercise is good and helpful to relate with the lecture that presented earlier.

Nazeera Mohamad - Ministry of Science, Technology and Innovation

Course - Introduction to Data Science and AI using Python

Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use one approach over another. Our challenge now is to practice what we have learned and start to apply it to our problem domain

Richard Blewett - Rock Solid Knowledge Ltd

Course - Machine Learning – Data science

Upcoming Courses

Introduction to Pre-trained Models

2026-08-14 09:30
14 hours
Taipei Walsin Xinyi
19800 NT$ (Online)
19800 NT$ (Classroom)

Introduction to Pre-trained Models

2026-08-28 09:30
14 hours
Taipei, Aurora
19800 NT$ (Online)
19800 NT$ (Classroom)

Data Science with KNIME Analytics Platform

2026-09-11 09:30
21 hours
Taipei- Concord
35100 NT$ (Online)
35100 NT$ (Classroom)

AWS Cloud9 for Data Science

2026-09-25 09:30
28 hours
Taipei Walsin Xinyi
39600 NT$ (Online)
39600 NT$ (Classroom)

AWS Cloud9 for Data Science

2026-10-09 09:30
28 hours
Taipei, Aurora
39600 NT$ (Online)
39600 NT$ (Classroom)

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