Ghent

Hotel NH Gent Belfort, Hoogpoort 63, Ghent, Belgium, 9000
There are 10 function rooms, 3 of them with natural daylight. The largest room holds up to 400 people theatre-style for meet...

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Explore Our Courses

Business Intelligence Reporting Tool (BIRT)

 14 Hours
This instructor-led, live training in Ghent (online or onsite) is aimed at intermediate-level data and business analysts who wish to use BIRT to effectively create and deploy business intelligence reports.By the end of this training, participants will be able to:
  • Understand the architecture and components of the BIRT framework.
  • Design and create informative, dynamic reports using BIRT Report Designer.
  • Use BIRT’s scripting capabilities to add business logic to reports.
  • Optimize and deploy BIRT reports within web applications and standalone applications.
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Oracle Business Intelligence (OBI)

 28 Hours
This instructor-led, live training in Ghent (online or onsite) is aimed at beginner-level business analysts and data analysts who wish to leverage Oracle BI to extract valuable insights from their data. By the end of this training, participants will be able to:
  • Navigate and utilize the Oracle BI interface effectively.
  • Create and customize reports and dashboards tailored to business needs.
  • Conduct ad-hoc analysis using various BI tools.
  • Utilize advanced features for comprehensive data exploration.
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SAS Business Intelligence (BI)

 28 Hours
This instructor-led, live training in Ghent (online or onsite) is aimed at beginner-level business analysts and data analysts who wish to harness the power of SAS BI to extract meaningful insights from data. By the end of this training, participants will be able to:
  • Navigate and utilize the SAS BI interface effectively.
  • Create customized reports and dashboards tailored to business needs.
  • Conduct ad-hoc analysis using various BI tools.
  • Leverage advanced features for comprehensive data exploration.
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SAP BusinessObjects Business Intelligence (BI)

 28 Hours
This instructor-led, live training in Ghent (online or onsite) is aimed at beginner-level business analysts and data analysts who wish to acquire essential skills in using SAP BusinessObjects BI to transform raw data into meaningful insights. By the end of this training, participants will be able to:
  • Navigate and use the SAP BusinessObjects BI interface.
  • Create and customize business reports and dashboards.
  • Perform ad-hoc analysis using various BI tools.
  • Utilize advanced features for in-depth data exploration.
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Sisense Business Intelligence

 14 Hours
This instructor-led, live training in Ghent (online or onsite) is aimed at developers and system administrators who wish to learn and use Sisense for big data manipulation and visualization. By the end of this training, participants will be able to:
  • Learn the fundamental concepts of Sisense and how it works.
  • Create a Sisense dashboard to visualize big data and execute data-driven business decisions.
  • Merge and manage data from multiple sources.
  • Utilize Sisense for quick data manipulation and visualization.
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AWS QuickSight

 14 Hours
This instructor-led, live training in Ghent (online or onsite) is aimed at data analysts or anyone who wishes to use AWS QuickSight data analysis and visualization. By the end of this training, participants will be able to:
  • Understand the basic concepts of AWS QuickSight.
  • Use AWS QuickSight to create data analysis, reports, and insights.
  • Use AWS to create relationships between data for enhanced analysis.
  • Learn different types of visualizations in understanding data.
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Data Analysis with SQL, Python, and Tableau

 14 Hours
This instructor-led, live training in Ghent (online or onsite) is aimed at data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization. By the end of this training, participants will be able to:
  • Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
  • Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
  • Get a refresher on the fundamentals of Python and SQL.
  • Perform data pre-processing techniques in Python.
  • Learn how to connect Python and SQL for data analysis.
  • Create insightful data visualizations and charts with Tableau.
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Datameer for Data Analysts

 14 Hours
Datameer is a business intelligence and analytics platform built on Hadoop. It allows end-users to access, explore and correlate large-scale, structured, semi-structured and unstructured data in an easy-to-use fashion. In this instructor-led, live training, participants will learn how to use Datameer to overcome Hadoop's steep learning curve as they step through the setup and analysis of a series of big data sources. By the end of this training, participants will be able to:
  • Create, curate, and interactively explore an enterprise data lake
  • Access business intelligence data warehouses, transactional databases and other analytic stores
  • Use a spreadsheet user-interface to design end-to-end data processing pipelines
  • Access pre-built functions to explore complex data relationships
  • Use drag-and-drop wizards to visualize data and create dashboards
  • Use tables, charts, graphs, and maps to analyze query results
Audience
  • Data analysts
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Business Intelligence in MS SQL Server 2008

 14 Hours
Training is dedicated to the basics of create a data warehouse environment based on MS SQL Server 2008. Course participant gain the basis for the design and construction of a data warehouse that runs on MS SQL Server 2008. Gain knowledge of how to build a simple ETL process based on the SSIS and then design and implement a data cube using SSAS. The participant will be able to manage OLAP database: create and delete database OLAP Processing a partition changes on-line. The participant will acquire knowledge of scripting XML / A and MDX.
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Big Data Business Intelligence for Govt. Agencies

 35 Hours
Advances in technologies and the increasing amount of information are transforming how business is conducted in many industries, including government. Government data generation and digital archiving rates are on the rise due to the rapid growth of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes more complex, information management, processing, storage, security, and disposition become more complex as well. New capture, search, discovery, and analysis tools are helping organizations gain insights from their unstructured data. The government market is at a tipping point, realizing that information is a strategic asset, and government needs to protect, leverage, and analyze both structured and unstructured information to better serve and meet mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish mission, they are laying the groundwork to correlate dependencies across events, people, processes, and information. High-value government solutions will be created from a mashup of the most disruptive technologies:
  • Mobile devices and applications
  • Cloud services
  • Social business technologies and networking
  • Big Data and analytics
IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured. But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog. The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it. The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge. Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.). Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.
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Big Data Business Intelligence for Telecom and Communication Service Providers

 35 Hours
Overview Communications service providers (CSP) are facing pressure to reduce costs and maximize average revenue per user (ARPU), while ensuring an excellent customer experience, but data volumes keep growing. Global mobile data traffic will grow at a compound annual growth rate (CAGR) of 78 percent to 2016, reaching 10.8 exabytes per month. Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored. With Big Data & Analytics’ high-speed, scalable big data software, CSPs can mine all their data for better decision making in less time. Different Big Data products and techniques provide an end-to-end software platform for collecting, preparing, analyzing and presenting insights from big data. Application areas include network performance monitoring, fraud detection, customer churn detection and credit risk analysis. Big Data & Analytics products scale to handle terabytes of data but implementation of such tools need new kind of cloud based database system like Hadoop or massive scale parallel computing processor ( KPU etc.) This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain. Course objectives Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following:
  • Introduction to Big Data-what is 4Vs (volume, velocity, variety and veracity) in Big Data- Generation, extraction and management from Telco perspective
  • How Big Data analytic differs from legacy data analytic
  • In-house justification of Big Data -Telco perspective
  • Introduction to Hadoop Ecosystem- familiarity with all Hadoop tools like Hive, Pig, SPARC –when and how they are used to solve Big Data problem
  • How Big Data is extracted to analyze for analytics tool-how Business Analysis’s can reduce their pain points of collection and analysis of data through integrated Hadoop dashboard approach
  • Basic introduction of Insight analytics, visualization analytics and predictive analytics for Telco
  • Customer Churn analytic and Big Data-how Big Data analytic can reduce customer churn and customer dissatisfaction in Telco-case studies
  • Network failure and service failure analytics from Network meta-data and IPDR
  • Financial analysis-fraud, wastage and ROI estimation from sales and operational data
  • Customer acquisition problem-Target marketing, customer segmentation and cross-sale from sales data
  • Introduction and summary of all Big Data analytic products and where they fit into Telco analytic space
  • Conclusion-how to take step-by-step approach to introduce Big Data Business Intelligence in your organization
Target Audience
  • Network operation, Financial Managers, CRM managers and top IT managers in Telco CIO office.
  • Business Analysts in Telco
  • CFO office managers/analysts
  • Operational managers
  • QA managers
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Big Data Business Intelligence for Criminal Intelligence Analysis

 35 Hours
Advances in technologies and the increasing amount of information are transforming how law enforcement is conducted. The challenges that Big Data pose are nearly as daunting as Big Data's promise. Storing data efficiently is one of these challenges; effectively analyzing it is another. In this instructor-led, live training, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results. By the end of this training, participants will be able to:
  • Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation
  • Implement industrial big data storage and processing solutions for data analysis
  • Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation
Audience
  • Law Enforcement specialists with a technical background
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Pentaho Open Source BI Suite Community Edition (CE)

 28 Hours
Pentaho Open Source BI Suite Community Edition (CE) is a business intelligence package that provides data integration, reporting, dashboards, and load capabilities. In this instructor-led, live training, participants will learn how to maximize the features of Pentaho Open Source BI Suite Community Edition (CE). By the end of this training, participants will be able to:
  • Install and configure Pentaho Open Source BI Suite Community Edition (CE)
  • Understand the fundamentals of Pentaho CE tools and their features
  • Build reports using Pentaho CE
  • Integrate third party data into Pentaho CE
  • Work with big data and analytics in Pentaho CE
Audience
  • Programmers
  • BI Developers
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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Business Intelligence with SSAS

 14 Hours
SSAS (SQL Server Analysis Services), is a Microsoft SQL Server transactional processing (OLAP) and data mining tool for analyzing data across multiple databases, tables or files. The semantic data models provided by SSAS are used by client applications such as Power BI, Excel, Reporting Services, and other data visualization tools. In this instructor-led, live training (onsite or remote), participants will learn how to use SSAS to analyze large volumes of data in databases and data warehouses. By the end of this training, participants will be able to:
  • Install and configure SSAS
  • Understand the relationship between SSAS, SSIS, and SSRS
  • Apply multidimensional data modeling to extract business insights from data
  • Design OLAP (Online Analytical Processing) cubes 
  • Query and manipulate multidimensional data using the MDX (Multidimensional Expressions) query language
  • Deploy real-world BI solutions using SSAS
Audience
  • BI (Business Intelligence) professionals
  • Data Analysts
  • Database and data warehousing professionals
 
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 is based on the latest version of Microsoft SQL Server and SSAS.
  • To request a customized training for this course, please contact us to arrange.
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Power BI Dashboards

 14 Hours
Learn how to Get & Transform Data to Prepare Interactive Dashboards Power BI is one of the most popular Data Visualization tool, and a Business Intelligence Tool. Power BI is a collection of data connectors, apps, and software services, which are used to get data from different source, transforms data, and produce beautiful reports. Power BI also allows you to publish them for your organization so that you can access them using mobiles, tablets etc. In this Power BI Tutorial, we will show you the step by step approach to connect with multiple data sources, data transformations, and creating reports like charts, tables, matrix, maps, etc  
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Qlik Sense for Data Science

 14 Hours
This instructor-led, live training in Ghent (online or onsite) is aimed at data analysts and web developers who wish to develop associative models in Qlik Sense. By the end of this training, participants will be able to:
  • Apply Qlik Sense in data science.
  • Use and navigate the Qlik Sense interface.
  • Build a data literate workforce with AI interaction.
  • Create a data-driven enterprise with Qlik Sense.
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QlikView Server Administration

 14 Hours
QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making. In this instructor-led, live training, participants will learn how to start developing with QlikView. By the end of this training, participants will be able to:
  • Install and configure QlikView
  • Transform data from various sources through QlikView scripting
  • Build data models with QlikView
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.
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Qlik: Advanced Topics in Design and Development

 14 Hours
QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making. In this instructor-led, live training, participants will learn how to start developing with QlikView. By the end of this training, participants will be able to:
  • Install and configure QlikView
  • Transform data from various sources through QlikView scripting
  • Build data models with QlikView
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.
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Data analysis with Tableau

 14 Hours
Tableau helps people see and understand data.
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Visual Reporting and Analysis with Tableau

 14 Hours
This instructor-led, live training in Ghent (online or onsite) is aimed at beginner to intermediate-level data scientists and analysts who wish to learn how to utilize Tableau tools for data visualization and analysis. By the end of this training, participants will be able to: Connect multiple sources of data. Create basic data visualizations. Use basic to advanced calculations for data analysis. Learn best practices for using graphs and visualizations.
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Tableau Advanced

 14 Hours
Tableau helps people see and understand data.
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Data Analysis with Tableau and Python

 14 Hours
Tableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases. In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API. By the end of this training, participants will be able to:
  • Integrate Tableau and Python using TabPy API
  • Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Tableau for Developers

 21 Hours
In this instructor-led, live training in Ghent, participants will learn how to extend the capabilities of Tableau to fit the specific needs of their organization. By the end of this training, participants will be able to:
  • Install and configure Tableau (Desktop, Server, Online.)
  • Understand the fundamentals of developing with Tableau.
  • Create and publish data visualizations and interactions with Tableau.
  • Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization.
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Tableau Fundamentals

 14 Hours
This is a Tableau user beginners course; it is intended for anyone who is looking to work with data and is designed to help you use the main functions in Tableau. During the course you will be able to:
  • Connect to your data.
  • Edit and save a data source.
  • Understand Tableau terminology.
  • Use the Tableau interface / paradigm to effectively create powerful visualizations.
  • Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
  • Represent your data using the following visualization types:
    • Cross tabs
    • Geographic maps
    • Heat maps
    • Tree maps
    • Pie charts and bar charts
    • Dual axis and combined charts with different mark types
    • Highlight Tables
    • Scatter Plots
  • Build dashboards to share visualizations.
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Tableau Intermediate Training Course

 14 Hours
Tableau helps people see and understand data.
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Data Science with Tableau and R Programming

 14 Hours
This instructor-led, live training in Ghent (online or onsite) is aimed at data scientists who wish to program in R for Tableau. By the end of this training, participants will be able to:
  • Implement Tableau analytics with R.
  • Return values to Tableau with learning algorithms in R.
  • Structure and visualize R functions in Tableau.
  • Make data driven decisions for business operations.
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Tableau Fundamentals to Advanced

 28 Hours
This instructor-led, live training in Ghent (online or onsite) is aimed at data analysts and data scientists who wish to search, analyze, and visualize data using Tableau. By the end of this training, participants will be able to:
  • Connect to your data.
  • Edit and save a data source.
  • Understand Tableau terminology.
  • Use the Tableau interface / paradigm to effectively create powerful visualizations.
  • Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
  • Represent your data using different visualization types.
  • Build dashboards to share visualizations.
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Tableau Server for System Administrators

 28 Hours
This instructor-led, live training in Ghent (online or onsite) is aimed at system administrators who wish to set up and manage Tableau Server. By the end of this training, participants will be able to:
  • Install and configure Tableau Server.
  • Set up users, roles and permissions to get a team up and running.
  • Access various data sources, manage content and access to the content by users.
  • Automate administrative tasks, including monitoring and log management.
  • Deploying Tableau Server to cluster.
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Tableau Prep Builder

 21 Hours
This instructor-led, live training in Ghent (online or onsite) is aimed at data analysts who wish to prepare and shape data using Tableau Prep Builder. By the end of this training, participants will be able to:
  • Install Tableau Prep.
  • Understand and implement a Data Science Workflow.
  • Read data from a variety of sources, such as Excel and databases.
  • Prepare, shape and sample data for analysis in Tableau Desktop.
  • Explore and validate data.
  • Create and publish Tableau Prep flows.
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Data Visualization for Nonprofit using Tableau Public

 21 Hours
This course is designed for the learner who has never used Tableau before, or who may need a refresher.  It will guide you through the steps necessary to create your first visualization from the beginning. You will also learn how to apply essential design principles to your Tableau visualizations. By the end of the course, you will be able to create and share your insights with the broader audience.
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Testimonials (25)

Everything was easily understood.

Daniela - Alamo Nex Construction LLC
Course - Power BI for Developers

Used good examples, good pace of the training and covered most things

David - McGraw Hill
Course - Data Preparation with Alteryx

Constructive exchanges

Cécile - Transdev Compagnie Axonaise
Course - Power BI

Machine Translated

the personalized part during which I was able to work on my project and directly apply the elements of the training

Caroline - Schreder
Course - Power BI Dashboards

Machine Translated

What was very interesting in this training was the direct handling of the power bi tool. What was presented was very informative and provided a real answer to my problems, while trying to learn on the job. The trainer gave us keys to be better organized and structured in our files. Which is interesting if we have to give up our work. It would have taken a few more hours to produce our own report, that's the only downside.

Linedie - Transdev Nord
Course - Advanced Power BI

Machine Translated

I liked that the trainer gave me 5 minutes to complete the exercise. Each of us could take up the challenge of solving the task without being influenced by what is happening on the screen. Trainer Rafał with a lot of knowledge. He easily established relationships with listeners.

Patryk S - Santander Bank Polska S.A.
Course - Splunk Fundamentals

Machine Translated

The instructor's extensive knowledge and problem-solving skills. Nicely prepared cases to practice

Michał - Streamsoft
Course - JasperReports

Machine Translated

Clear explanations with good examples so i could relate to my own line of work.

Elaine Vermeulen - Sandoz BV
Course - Alteryx for Developers

lots of pratical exercises

Marcin - Narodowy Bank Polski
Course - Splunk Data Administration

The Trainer is professional. He can make me feel this program not too hard to use as I thought before training.

Benjaporn - Thai Asahi Kasei Spandex Co.,Ltd
Course - Power BI for Business Analysts

The pace, activities and screen mirroring. Power Bi is new to me and I am looking forward to working with it more.

Michelle - Childhood Development Initiative CLG
Course - Creating Dashboards Using Microsoft Power BI

Without a doubt, learn the general environment of and put the tool into practice Apache Superset.

Saúl - N/A

Machine Translated

His patience and way of transmitting knowledge

Estefania - si

Machine Translated

As someone new to Tableau it was a perfect introduction to it

PEter - Tech Northwest Skillnet
Course - Tableau Fundamentals

Data management, reporting and statistics concepts.

Dumisani - Interfront SOC Ltd
Course - Stata: Beginner to Advanced

Use cases were awesome! and Ray involved each and every one of us in each use case.

Zara - Trench Ltd
Course - Alteryx for Data Analysis

From learning, being able to put the proposed exercises into practice.

Samanta - Imdepa Rolamentos

Machine Translated

Trainer cukup terbuka dalam sharing

Wilianto Wilianto - PT. Supra Matra Abadi
Course - Getting Started with Apache Superset

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

All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.

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

Great pace during the training. very knowledgeable and teaching style

James - Gilead Sciences Ireland
Course - Excel to Power BI

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)

Great knowledge of the content, good examples, great rapport with the class and very understanding if anyone needed extra help. Willing to stop and go back to explain things again and in a manner in which could be easily understood.

Martina O'Neill - Tech NorthWest Skillnet
Course - Tableau Advanced

The Instructor knew the information he was lecturing the class on.

Amin Muhammed - Ultimate Knowledge
Course - Advanced Splunk

The training is very informative and interactive in terms of the hands-on activities.

John Marnel San Pedro - Thakral One Inc.
Course - Data analysis with Tableau

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