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)

Business Intelligence

Business Intelligence
Data Visualization

Data Visualization
KNIME

KNIME
Microsoft Power Platform

Microsoft Power Platform
Business Analysis

Business Analysis
System Monitoring

System Monitoring
Data Cleaning

Data Cleaning
Spatial Analysis

Spatial Analysis
Web Analytics

Web Analytics
Databricks

Databricks
IBM SPSS Modeler

IBM SPSS Modeler

Explore Our Courses

Big Data Analytics with Google Colab and Apache Spark

 14 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at intermediate-level data scientists and engineers who wish to use Google Colab and Apache Spark for big data processing and analytics. By the end of this training, participants will be able to:
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  • Process and analyze large datasets efficiently with Apache Spark.
  • Visualize big data in a collaborative environment.
  • Integrate Apache Spark with cloud-based tools.
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Time Series Analysis with Google Colab

 21 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at intermediate-level data professionals who wish to apply time series forecasting techniques to real-world data using Google Colab. By the end of this training, participants will be able to:
  • Understand the fundamentals of time series analysis.
  • Use Google Colab to work with time series data.
  • Apply ARIMA models to forecast data trends.
  • Utilize Facebook’s Prophet library for flexible forecasting.
  • Visualize time series data and forecasting results.
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Google Gemini AI for Data Analysis

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This instructor-led, live training in Shanghai (online or onsite) is aimed at beginner-level to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI. By the end of this training, participants will be able to:
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  • Connect various data sources to Gemini AI.
  • Explore data using natural language queries.
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  • Create compelling data visualizations.
  • Communicate data-driven insights effectively.
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A Practical Introduction to Data Analysis and Big Data - 3 Days

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Introduction to dbt Cloud

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ArcGIS from Basic to Advanced

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AWS Glue Fundamentals

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Advanced ArcGIS Pro for Spatial Analysis

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Data Analytics with Tableau, Python, R, and SQL

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This instructor-led, live training in Shanghai (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis. By the end of this training, participants will be able to:
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ArcGIS Enterprise for Technical Support

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This instructor-led, live training in Shanghai (online or onsite) is aimed at beginner-level IT support personnel who wish to provide robust support for ArcGIS Enterprise, addressing any anomalies or failures effectively. By the end of this training, participants will be able to:
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IBM Planning Analytics (TM1)

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Nagios Certified Administrator Preparation

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Azure Synapse Analytics

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Analytic Functions Fundamentals

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ArcGIS Fundamentals

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ArcMap in ArcGIS

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Automated Monitoring with Zabbix

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Data Analytics with Excel, VBA and Python - From the Ground Up

 42 Hours
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What will happen?
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What should happen?
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Apache Kylin: Real-Time OLAP on Big Data

 14 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at intermediate-level big data professionals who wish to utilize Apache Kylin for building real-time data warehouses and performing multidimensional analysis on large-scale datasets.By the end of this training, participants will be able to:
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Advanced Nagios

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This instructor-led, live training in Shanghai (online or onsite) is aimed at intermediate-level systems administrators who wish to learn and utilize the advanced features and components of Nagios for IT monitoring. By the end of this training, participants will be able to:
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  • Explore Nagios add-ons and advanced techniques.
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A Practical Introduction to Data Analysis and Big Data

 35 Hours
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Data Analytics With R

 21 Hours
R is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students.  It covers language fundamentals, libraries and advanced concepts.  Advanced data analytics and graphing with real world data. Audience Developers / data analytics Duration 3 days Format Lectures and Hands-on
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Data Analysis with Hive/HiveQL

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This course covers how to use Hive SQL language (AKA: Hive HQL, SQL on Hive, HiveQL) for people who extract data from Hive
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Excel For Statistical Data Analysis

 14 Hours
Audience Analysts, researchers, scientists, graduates and students and anyone who is interested in learning how to facilitate statistical analysis in Microsoft Excel. Course Objectives This course will help improve your familiarity with Excel and statistics and as a result increase the effectiveness and efficiency of your work or research. This course describes how to use the Analysis ToolPack in Microsoft Excel, statistical functions and how to perform basic statistical procedures. It will explain what Excel limitation are and how to overcome them.
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A Practical Introduction to Data Science

 35 Hours
Participants who complete this training will gain a practical, real-world understanding of Data Science and its related technologies, methodologies and tools. Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class. The course starts with an introduction to elemental concepts of Data Science, then progresses into the tools and methodologies used in Data Science. Audience
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Format of the Course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.
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Data and Analytics - from the ground up

42 Hours
Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to questions:  What has happened?
  • processing and analyzing data
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What will happen?
  • forecasting future performance
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What should happen?
  • turning data into evidence-based business decisions
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The course itself can be delivered either as a 6 day classroom course or remotely over a period of weeks if preferred. We can work with you to deliver the course to best suit your needs.
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Data Analysis with Python, Pandas and Numpy

 14 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy. By the end of this training, participants will be able to:
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  • Create a data analysis application using Pandas and NumPy.
  • Perform advanced data wrangling, sorting, and filtering operations.
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  • Debug and optimize their data analysis code.
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Talent Acquisition Analytics

 14 Hours
This instructor-led, live training (online or onsite) is aimed at HR professionals and recruitment specialists who wish to use analytical methods improve organisational performance. This course covers qualitative as well as quantitative, empirical and statistical approaches. Format of the Course
  • Interactive lecture and discussion.
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Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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HR Analytics for Public Organisations

 14 Hours
This instructor-led, live training (online or onsite) is aimed at HR professionals who wish to use analytical methods improve organisational performance. This course covers qualitative as well as quantitative, empirical and statistical approaches. Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Dremio for Self-Service Data Analysis

 21 Hours
Dremio is an open-source "self-service data platform" that accelerates the querying of different types of data sources. Dremio integrates with relational databases, Apache Hadoop, MongoDB, Amazon S3, ElasticSearch, and other data sources. It supports SQL and provides a web UI for building queries. In this instructor-led, live training, participants will learn how to install, configure and use Dremio as a unifying layer for data analysis tools and the underlying data repositories. By the end of this training, participants will be able to:
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  • Integrate Dremio with BI and data sources such as Tableau and Elasticsearch
Audience
  • Data scientists
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Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Notes
  • To request a customized training for this course, please contact us to arrange.
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IBM Cloud Pak for Data

 14 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at data scientists who wish to use IBM Cloud Pak to prepare data for use in AI solutions. By the end of this training, participants will be able to:
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  • Integrate Cloud Pak for Data with a variety of services to solve common business problems.
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Python for Excel

 14 Hours
In this instructor-led, live training in Shanghai (onsite or remote), participants will learn how to combine the capabilities of Python and Excel. By the end of this training, participants will be able to:
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  • Read, write, and manipulate Excel files using Python.
  • Call Python functions from Excel.
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Data Analysis with SQL, Python and Spotfire

 14 Hours
In this instructor-led, live training in Shanghai, participants will learn three different approaches for accessing, analyzing and visualizing data. We start with an introduction to RDMS databases; the focus will be on accessing and querying an Oracle database using the SQL language. Then we look at strategies for accessing an RDMS database programmatically using the Python language. Finally, we look at how to visualize and present data graphically using TIBCO Spotfire.  Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
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kdb+ and q: Analyze Time Series Data

 21 Hours
In this instructor-led, live training in Shanghai, participants will learn how to create a time series data application using kdb+ and q. By the end of this training, participants will be able to:
  • Understand the difference between a row-oriented database and a column-oriented database.
  • Select data, write scripts and create functions to carry out advanced analytics.
  • Analyze time series data such as stock and commodity exchange data.
  • Use kdb+'s in-memory capabilities to store, analyze, process and retrieve large data sets at high speed.
  • Think of functions and data at a higher level than the standard function(arguments) approach common in non-vector languages.
  • Explore other time-sensitive applications for kdb+, including energy trading, telecommunications, sensor data, log data, and machine and network usage monitoring.
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Azure for Data Engineer

 35 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.By the end of this training, participants will be able to:
  • Install and configure Power BI.
  • Evaluate the various data solutions offered by cloud providers such as Azure.
  • Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
  • Apply tools and techniques to clean data in preparation for analysis.
  • Build reporting and analytics solutions based on on-premise as well as cloud data.
  • Integrate data analytics solutions with a data warehouse.
  • Mitigate data security risks and ensure data privacy.
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Search and Analytics with Amazon OpenSearch

 21 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at developers and administrators who wish to use OpenSearch to perform distributed search and data analytics in a unified and secure system. By the end of this training, participants will be able to:
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  • Understand the three approaches (snapshot, restart, and rolling) in upgrading from Elasticsearch OSS to OpenSearch.
  • Learn how to index data, create data streams, run queries, and streamline cross-cluster operations in OpenSearch.
  • Explore and use plugins, APIs, clients, and ingestion tools (Beats, Logstash, Grafana, etc.) to optimize search experience while keeping clusters secure.
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Python for Data Analysis

 28 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc.. By the end of this training, participants will be able to:
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  • Analyze data from sources such as Excel, CSV, JSON files and databases.
  • Clean data to improve its usefulness before analyzing it.
  • Perform simple statistical analysis.
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  • Gain valuable insight from data, including trends in performance, problematic areas.
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Scaling Data Analysis with Python and Dask

 14 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at data scientists and software engineers who wish to use Dask with the Python ecosystem to build, scale, and analyze large datasets. By the end of this training, participants will be able to:
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  • Explore the features, libraries, tools, and APIs available in Dask.
  • Understand how Dask accelerates parallel computing in Python.
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SQL Advanced level for Analysts

21 Hours
The aim of this course is to provide a clear understanding of the use of SQL for different
databases (Oracle, SQL Server, MS Access...). Understanding of analytic functions and the
way how to join different tables in a database will help delegates to move data analysis
operations to the database side, instead of doing this in MS Excel application. This can also
help in creating any IT system, which uses any relational database.
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Advanced Data Analysis with TIBCO Spotfire

 14 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data. By the end of this training, participants will be able to:
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  • Secure access to software based on roles and access controls.
  • Create visualizations such as map charts.
  • Integrate statistical computing languages such as R with Spotfire.
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ArcGIS for Spatial Analysis

 14 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at field ecologists and conservation managers who wish to create data spatial projects in ArcGIS. By the end of this training, participants will be able to:
  • Output spatial data as visualizations.
  • Conduct geostatics on actual data.
  • Implement spatial data analysis, data processing, and mapping with ArcGIS.
  • Analyze spatial data for projects in ArcGIS.
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ArcGIS Pro for Spatial Analysis

 14 Hours
By the end of this training, participants will be able to:
  • Understanding GIS concepts and spatial data types using the latest version of ArcGIS Pro.
  • Investigate the user interface and evaluate the uses
  • Explore ArcGIS* Pro and how to utilize online content
  • Manage, manipulate and analyze your own data
  • Display and share your data in a meaningful and creative way
Note: We will use the latest version of ArcGIS Pro.
Read more...

ArcGIS with Python Scripting

 14 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at GIS analysts who wish to automate repetitive tasks in GIS processes. By the end of this training, participants will be able to:
  • Build GIS applications using Python and ArcGIS tools.
  • Develop with the ArcGIS package ArcPy, using Python.
  • Apply the ArcGIS modules for map automation using object classes in Python.
Read more...

Insurtech: A Practical Introduction for Managers

 14 Hours
Insurtech (a.k.a Digital Insurance) refers to the convergence of insurance + new technologies. In the field of Insurtech "digital insurers" apply technology innovations to their business and operating models in order to reduce costs, improve the customer experience and enhance the agility of their operations. In this instructor-led training, participants will gain an understanding of the technologies, methods and mindset needed to bring about a digital transformation within their organizations and in the industry at large. The training is aimed at managers who need to gain a big picture understanding, break down the hype and jargon, and take the first steps in establishing an Insurtech strategy. By the end of this training, participants will be able to:
  • Discuss Insurtech and all its component parts intelligently and systematically
  • Identify and demystify the role of each key technology within Insurtech.
  • Draft a general strategy for implementing Insurtech within their organization
Audience
  • Insurers
  • Technologists within the insurance industry
  • Insurance stakeholders
  • Consultants and business analysts
Format of the course
  • Part lecture, part discussion, exercises and case study group activities
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Fluentd for Log Data Unification

 14 Hours
This instructor-led, live training (online or onsite) is aimed at engineers who wish to set up an architecture where everything is logged. By the end of this training, participants will be able to:
  • Install and configure Fluentd.
  • Collect logs from large numbers of disparate servers.
  • Unify the logging layer within an organization.
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • This training covers logging approaches for various types of systems. Please contact us to arrange coverage for specific systems (syslog, Apache, Nginx, IoT, ElasticSearch, MongoDB, Hadoop, etc.).
  • To learn more about Fluentd, please visit: https://www.fluentd.org/
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LibreOffice Calc for Data Analysis

 14 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at data analysts who wish to use LibreOffice Calc to conduct many forms of data analysis (from basic to advanced), leveraging similar functionalities found in Excel and other spreadsheet software. By the end of this training, participants will be able to:
  • Install the LibreOffice suite on any operating system.
  • Understand the full features and functionalities available in LibreOffice Calc.
  • Learn how to clean, validate, manipulate, and visualize data in Calc.
  • Apply the various functions and tools in Calc to perform complex data analysis.
  • Gain some tips and insights on conducting advanced data analysis.
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Nagios

 35 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at intermediate-level IT professionals who wish to implement and manage infrastructure monitoring using Nagios.By the end of this training, participants will be able to:
  • Install and configure Nagios Core and relevant plugins.
  • Monitor servers, network devices, services, and applications.
  • Configure alerts and performance thresholds.
  • Integrate Nagios with databases and third-party tools.
  • Set up distributed monitoring and high availability environments.
  • Visualize monitoring data using tools such as NagVis and BPI.
Read more...

QGIS for Geographic Information System

 21 Hours
A geographic information system (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The acronym GIS is sometimes used for geographic information science (GIScience) to refer to the academic discipline that studies geographic information systems and is a large domain within the broader academic discipline of geoinformatics. QGIS functions as geographic information system (GIS) software, allowing users to analyze and edit spatial information, in addition to composing and exporting graphical maps. QGIS supports both raster and vector layers; vector data is stored as either point, line, or polygon features. Multiple formats of raster images are supported, and the software can georeference images. To summarize it allows the users to Create, edit, visualise, analyse and publish geospatial information on Windows, Mac, Linux, BSD. This program, in its first phase, introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS - the python libraries of QGIS that allows the integration of GIS functionalities in your python code or your python application, so that you may even create your own Python Plugin around a particular GIS functionality.
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Introduction to Spotfire

 14 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at business analysts and data analysts who wish to learn basic Spotfire Analyst techniques for analyzing data. By the end of this training, participants will be able to:
  • Install and configure TIBCO Spotfire.
  • Combine data from different databases.
  • Visualize large datasets.
  • Create and share complex dashboards.
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AI-Driven Data Analysis with TIBCO Spotfire X

 14 Hours
This instructor-led, live training in Shanghai (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data. By the end of this training, participants will be able to:
  • Install and configure TIBCO Spotfire X.
  • Understand the features and architecture of TIBCO Spotfire X.
  • Understand the concepts behind augmented and predictive analytics.
  • Learn how to load, process, and visualize data using Spotfire X.
  • Create interactive and enhanced data visualizations.
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Testimonials (25)

Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.

Ian - Archeoworks Inc.

Course - ArcGIS Fundamentals

I thought the trainer was really engaging and was very quick on his feet to answer questions that were related to our work and really tailored the teaching towards our needs and went above and beyond to meet them. I could not recommend Shaun enough!

Tom King - Complete Coherence

Course - Microsoft Power Platform Fundamentals

Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!

Deepthi - Invest Northern Ireland

Course - IBM Cognos Analytics

Lab exercise

Tse Kiat - ST Engineering Training & Simulation Systems Pte. Ltd.

Course - Automated Monitoring with Zabbix

The ability of the trainer to align the course with the requirements of the organization other than just providing the course for the sake of delivering it.

Masilonyane - Revenue Services Lesotho

Course - Big Data Business Intelligence for Govt. Agencies

The content was tough but that extra effort I had to put helped me remember and understand power BI better.

Melvin - TLI Group

Course - Power BI DAX Fundamentals

The energy, knowledge and style of teaching of the trainer

Ioana - MOLSONCOORS GLOBAL BUSINESS SERVICES SRL

Course - From Tableau Beginners to Advanced User

The course material was commendable, featuring insightful overviews of Linux and Superset. While the Python component was comprehensive, it demanded a substantial coding proficiency

EMMANUEL MFANA KUNENE - Palladium Group

Course - Apache Superset for Administrators

Practical exercises. Q&A session at the end regarding how this can be applied in our organization.

Franciszek - Bank Millennium S.A.

Course - Business Analysis, BABOK V3.0 and IIBA Certification Preparation

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

lots of pratical exercises

Marcin - Narodowy Bank Polski

Course - Splunk Data Administration

Discussing about our issues

Rr Dwi Putri Periska Sari - PT. Becton Dickinson Indonesia

Course - Power BI for Developers

Data management, reporting and statistics concepts.

Dumisani - Interfront SOC Ltd

Course - Stata: Beginner to Advanced

The training materials.

Mona Dobre - DB Global Technology

Course - SQL Advanced level for Analysts

It was insightful and I gained a lot of data analysis skills

Mamonyane Taoana - Road Safety Department

Course - Data Cleaning

Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.

Julia Kuczma - DLA Piper GSC Poland Sp. z o.o.

Course - Tableau Intermediate Training Course

sharing experiences and sharing other materials not included in the package.

BRYAN SANTOS - Mizuho Bank Ltd - Manila Branch

Course - Agile Business Analysis

What I liked the most was the coach's openness regarding the change in content as well as the approach that was previously prepared to accommodate our real needs

Ernesto Sitoe Junior - Electricidade de Mocambique

Course - Advanced Power BI

All the topics which he covered including examples. And also explained how they are helpful in our daily job.

madduri madduri - Boskalis Singapore Pte Ltd

Course - QGIS for Geographic Information System

Understanding big data beter

Shaune Dennis - Vodacom

Course - Big Data Business Intelligence for Telecom and Communication Service Providers

I liked Pablo's style, the fact that he covered a lot of subjects from report design , customization with html to implementing simple ML algortithms. Good balance theoretical information / exercices. Pablo really covered all topics i was interested in and gave comprehensive answers to my questions.

Cristian Tudose - SC Automobile Dacia SA

Course - Advanced Data Analysis with TIBCO Spotfire

Got to know new features in OS which I wasn't aware before.

Dhivyalakshmi Ponnusamy - Mercedes-Benz AG

Course - Search and Analytics with Amazon OpenSearch

Good hands on experience with the tool and excellent documentation provided

Ryan McNamara - Penten

Course - Nagios XI Administration

I liked the fact that it was very dynamic, adjusted to our needs.

Bogdan Dinica - Sennheiser Consumer Electronics GmbH, Brasov Division

Course - MicroStrategy Business Intelligence (BI)

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

Upcoming Courses

ArcGIS Enterprise for Technical Support

2025-06-02 09:30
14 hours
Shanghai, Henderson 688

Advanced Nagios

2025-06-16 09:30
21 hours
Shanghai, Central Plaza

Apache Kylin: Real-Time OLAP on Big Data

2025-06-30 09:30
14 hours
Shanghai, Henderson 688

SQL Advanced level for Analysts

2025-07-14 09:30
21 hours
Shanghai, Central Plaza

ArcGIS Fundamentals

2025-07-28 09:30
14 hours
Shanghai, Henderson 688

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