Cambridge

Compass House, Cambridge, united kingdom, CB24 9AD

Vision Park is within easy reach of Cambridge city centre and has the advantage of excellent links with the M11 and A14. Trains from London Kings Cross arrive every 30 minutes, with a 15 minute journey by taxi to the Park. Histon Railway Station is on the boundary of Vision Park, which provides high quality, frequent local transport from St Ives to Cambridge. Guided Bus Vision Park lies alongside the Cambridgeshire Guided Bus which offers fast and frequent buses from Histon to Huntingdon (50 minutes), St Ives (15) and Cambridge city centre (15). Onboard, there is air conditioning, free WiFi and power for your laptop and mobile devices. Please see www.thebusway.info for further information.

Subcategories (10)

Image for the Business Intelligence

Business Intelligence
Image for the Data Visualization

Data Visualization
Image for the KNIME

KNIME
Image for the Microsoft Power Platform

Microsoft Power Platform
Image for the Business Analysis

Business Analysis
Image for the System Monitoring

System Monitoring
Image for the Data Cleaning

Data Cleaning
Image for the Spatial Analysis

Spatial Analysis
Image for the Web Analytics

Web Analytics
Image for the 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 Cambridge (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:
  • Set up a big data environment using Google Colab and Spark.
  • 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 Cambridge (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

 21 Hours
This instructor-led, live training in Cambridge (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:
  • Understand the fundamentals of Google Gemini AI.
  • Connect various data sources to Gemini AI.
  • Explore data using natural language queries.
  • Analyze data patterns and derive insights.
  • Create compelling data visualizations.
  • Communicate data-driven insights effectively.
Read more...

A Practical Introduction to Data Analysis and Big Data - 3 Days

 21 Hours
Participants who complete this instructor-led, live training in Cambridge will gain a practical, real-world understanding of Big Data 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 Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability.
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Introduction to dbt Cloud

 21 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level data engineers, analysts, and scientists who wish to understand how to use dbt Cloud to manage their data warehousing and transformation projects in the cloud. By the end of this training, participants will be able to:
  • Create and manage projects on dbt Cloud.
  • Use the dbt Cloud interface to schedule and run data transformations.
  • Collaborate on projects with team members.
  • Deploy their dbt projects to production.
  • Debug and troubleshoot dbt projects.
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ArcGIS from Basic to Advanced

 35 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level to advanced-level GIS professionals and analysts who wish to learn how to effectively use ArcGIS for data visualization, spatial analysis, and geospatial project management. By the end of this training, participants will be able to:
  • Navigate and utilize ArcGIS tools for geospatial data management.
  • Create and customize maps with layers and attributes.
  • Perform advanced spatial analysis and geoprocessing tasks.
  • Automate workflows using ModelBuilder and Python.
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AWS Glue Fundamentals

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at data engineers and analysts who wish to learn beginner to intermediate-level knowledge of using AWS Glue to set up a data pipeline. By the end of this training, participants will be able to:
  • Understand the fundamentals of AWS Glue.
  • Set up an AWS Glue pipeline.
  • Set up AWS Glue crawlers and jobs.
  • Learn how to use AWS Glue transformations.
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Advanced ArcGIS Pro for Spatial Analysis

 35 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at advanced-level GIS professionals who wish to use ArcGIS Pro to enhance their spatial analysis capabilities, conduct comprehensive geostatistical analysis, and apply advanced 3D modeling techniques for more effective decision-making and problem-solving in real-world scenarios. By the end of this training, participants will be able to:
  • Develop advanced skills in spatial analysis techniques using ArcGIS Pro.
  • Utilize Python scripting for automation and complex data processing.
  • Apply spatial modeling for problem-solving in real-world scenarios.
  • Conduct geostatistical analysis for advanced data interpretation.
  • Integrate external data sources and leverage 3D spatial data analysis.
Read more...

Data Analytics with Tableau, Python, R, and SQL

 35 Hours
This instructor-led, live training in Cambridge (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:
  • Perform data analysis using Python, R, and SQL.
  • Create insights through data visualization with Tableau.
  • Make data-driven decisions for business operations.
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ArcGIS Enterprise for Technical Support

 14 Hours
This instructor-led, live training in Cambridge (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:
  • Understand the architecture and components of ArcGIS Enterprise.
  • Learn to install, configure, and manage ArcGIS Enterprise.
  • Gain skills in troubleshooting and resolving common issues.
  • Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments.
  • Master the techniques for backup, recovery, and performance optimization.
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IBM Planning Analytics (TM1)

 21 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at analysts who wish to use TM1 to analyze and customize reports and templates for data in a database. By the end of this training, participants will be able to:
  • Learn how to analyze data using IBM Planning Analytics.
  • Create custom views of the data in a database.
  • Build reports and forms that communicate with TM1.
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Nagios Certified Administrator Preparation

 21 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level system administrators who wish to prepare for the Nagios Certified Administrator exam. By the end of this training, participants will be able to:
  • Gain a thorough knowledge of Nagios, including installation, configuration, and administration.
  • Use Nagios to monitor networks, servers, and applications.
  • Implement advanced monitoring techniques for diverse IT environments, including cloud and virtualized infrastructures.
  • Configure alerts, manage notifications and generate reports to ensure proactive network management.
  • Take the Nagios Certified Administrator exam with confidence.
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Azure Synapse Analytics

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization. By the end of this training, participants will be able to:
  • Understand the core concepts, architecture, and components of Azure Synapse Analytics.
  • Create, configure, and manage scalable data warehouses using Azure Synapse.
  • Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
  • Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.
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Analytic Functions Fundamentals

 21 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level database administrators, SQL developers, and data analysts who wish to enhance their SQL skills by mastering the use of Analytic Functions. By the end of this training, participants will be able to:
  • Understand the concept and importance of Analytic Functions.
  • Apply various Analytic Functions to solve complex analytical problems.
  • Combine Analytic Functions with other SQL features for comprehensive data analysis.
  • Optimize queries for better performance using Analytic Functions.
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ArcGIS Fundamentals

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at beginner-level professionals who wish to learn the fundamental concepts and tools of ArcGIS. By the end of this training, participants will be able to:
  • Understand the basic concepts of GIS and spatial data.
  • Navigate the ArcGIS interface.
  • Create and manage spatial data.
  • Perform basic spatial analysis.
  • Create maps and visualizations.
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Data Analysis with MongoDB Aggregation Framework

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at data analysts and data scientists who wish to use the MongoDB Aggregation Framework to perform data analysis while simplifying complex operations and aggregation pipelines. By the end of this training, participants will be able to:
  • Install and configure MongoDB for data analysis.
  • Understand the concepts and stages of the MongoDB Aggregation Framework.
  • Learn about the basic structure, syntax, and operations for aggregation.
  • Learn how to handle advanced operations in aggregation.
  • Apply some optimization tools and techniques to improve aggregation performance.
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ArcMap in ArcGIS

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) is aimed at intermediate-level environmental scientists and archaeologists who wish to learn how to use ArcMap in ArcGIS for collecting, organizing, managing, and analyzing geographic information. By the end of this training, participants will be able to:
  • Understand the fundamentals of ArcMap and ArcGIS.
  • Collect, organize, manage, and analyze geographic information on the social and archaeological elements.
  • Conduct spatial queries for impact evaluation.
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Automated Monitoring with Zabbix

 14 Hours
This instructor-led, live training in Cambridge (online or onsite) covers the installation, planning and configuration of Zabbix, and focuses on practical implementation and tooling. By the end of this training, participants will be able to:
  • Install and configure Zabbix for monitoring IT infrastructure.
  • Set up and manage hosts, items, triggers, and actions within Zabbix.
  • Utilize Zabbix's features for data collection, alerting, and reporting.
  • Integrate Zabbix with other tools and platforms for enhanced monitoring and automation.
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Data Analytics with Excel, VBA and Python - From the Ground Up

 42 Hours
The aim of the course in Cambridge is to help delegates to give evidence-based answers to questions:  What has happened?
  • processing and analyzing data
  • producing informative data visualizations
What will happen?
  • forecasting future performance
  • evaluating forecasts
What should happen?
  • turning data into evidence-based business decisions
  • optimizing processes
Read more...

Apache Kylin: Real-Time OLAP on Big Data

 14 Hours
This instructor-led, live training in Cambridge (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:
  • Set up and configure Apache Kylin with real-time streaming data sources.
  • Design and build OLAP cubes for both batch and streaming data.
  • Perform complex queries with sub-second latency using Kylin's SQL interface.
  • Integrate Kylin with BI tools for interactive data visualization.
  • Optimize performance and manage resources effectively in Kylin.
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Advanced Nagios

 21 Hours
This instructor-led, live training in Cambridge (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:
  • Understand Nagios architecture, components, and advanced monitoring strategies.
  • Implement advanced service monitoring and extend Nagios functionality.
  • Explore Nagios add-ons and advanced techniques.
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A Practical Introduction to Data Analysis and Big Data

 35 Hours
Participants who complete this instructor-led, live training in Cambridge will gain a practical, real-world understanding of Big Data 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 Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability.
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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

 7 Hours
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
  • Developers
  • Technical analysts
  • IT consultants
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
  • producing informative data visualizations
What will happen?
  • forecasting future performance
  • evaluating forecasts
What should happen?
  • turning data into evidence-based business decisions
  • optimizing processes
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 Cambridge (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:
  • Set up a development environment that includes Python, Pandas, and NumPy.
  • Create a data analysis application using Pandas and NumPy.
  • Perform advanced data wrangling, sorting, and filtering operations.
  • Conduct aggregate operations and analyze time series data.
  • Visualize data using Matplotlib and other visualization libraries.
  • 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.
  • 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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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:
  • Install and configure Dremio
  • Execute queries against multiple data sources, regardless of location, size, or structure
  • Integrate Dremio with BI and data sources such as Tableau and Elasticsearch
Audience
  • Data scientists
  • Business analysts
  • Data engineers
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 Cambridge (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:
  • Install and configure Cloud Pak for Data.
  • Unify the collection, organization and analysis of data.
  • Integrate Cloud Pak for Data with a variety of services to solve common business problems.
  • Implement workflows for collaborating with team members on the development of an AI solution.
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Python for Excel

 14 Hours
In this instructor-led, live training in Cambridge (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:
  • Install and configure packages for integrating Python and Excel.
  • 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 Cambridge, 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 Cambridge, 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 Cambridge (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 Cambridge (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:
  • Set up the necessary development environment to start building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
  • 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.
  • Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.
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Python for Data Analysis

 28 Hours
This instructor-led, live training in Cambridge (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:
  • Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
  • 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.
  • Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
  • Gain valuable insight from data, including trends in performance, problematic areas.
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SQL For Data Science and Data Analysis

 14 Hours
This instructor-led, live training (online or onsite) is aimed at software developers, managers, and business analyst who wish to use big data systems to store and retrieve large amounts of data. By the end of this training, participants will be able to:
  • Query large amounts of data efficiently.
  • Understand how Big Data system store and retrieve data
  • Use the latest big data systems available
  • Wrangle data from data systems into reporting systems
  • Learn to write SQL queries in:
    • MySQL
    • Postgres
    • Hive Query Language (HiveQL/HQL)
    • Redshift 
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.
Read more...

Scaling Data Analysis with Python and Dask

 14 Hours
This instructor-led, live training in Cambridge (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:
  • Set up the environment to start building big data processing with Dask and Python.
  • Explore the features, libraries, tools, and APIs available in Dask.
  • Understand how Dask accelerates parallel computing in Python.
  • Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask.
  • Optimize the Dask environment to maintain high performance in handling large datasets.
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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 Cambridge (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:
  • Share visualizations among different team members.
  • 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 Cambridge (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.
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ArcGIS with Python Scripting

 14 Hours
This instructor-led, live training in Cambridge (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.
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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 Cambridge (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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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 Cambridge (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 Cambridge (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

Gunnar created a great rapport with the audience and was quick to identify our needs. He was engaging and highly knowledgeable throughout and we enjoyed his humour.

Kurt - Complete Coherence

Course - SQL For Data Science and Data Analysis

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

the clear and concise explanations

Georgiana - Everience

Course - Power BI Basic

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

Provisional Upcoming Courses (Contact Us For More Information)

Data Analytics with Tableau, Python, R, and SQL

2025-06-02 09:30
35 hours
Cambridge

Excel For Statistical Data Analysis

2025-06-10 09:30
14 hours
Cambridge

Big Data Analytics with Google Colab and Apache Spark

2025-06-24 09:30
14 hours
Cambridge

Data Analysis with Hive/HiveQL

2025-07-08 09:30
7 hours
Cambridge

Data Analysis with Python, Pandas and Numpy

2025-07-22 09:30
14 hours
Cambridge

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