Hotel Central Parque

83, Av. Visc. de Barreiros 83, 4470-151 Maia, Maia, Portugal, 4470-151 Maia

Hotel Central Parque **** is located in the center of the city of Maia, due to its proximity to Francisco Sá Carneiro Airport, Zona Industrial da Maia, Exponor Matosinhos, the metro station and the main highways, it becomes the place ideal for your stay.

Subcategories (17)

Category for Power BI

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Category for Tableau

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Category for Apache Superset

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Category for MicroStrategy

MicroStrategy
Category for Google Sheets

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Category for Looker Studio

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Category for Splunk

Splunk
Category for Alteryx

Alteryx
Category for Apache Druid

Apache Druid
Category for SAS

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Category for Stata

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Explore Our Courses

Datameer for Data Analysts

 14 Hours
This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level data professionals who wish to learn how to use Datameer to prepare, analyze, and visualize data using modern techniques, guided workflows, and the latest Datameer interface.By the end of this training, participants will be able to:
  • Create and manage data projects within Datameer's workspace.
  • Connect to modern data platforms including Snowflake, cloud storage, and databases.
  • Perform data transformation using visual, code-free workflows or SQL.
  • Collaborate with teams using metadata management and project sharing.
  • Use visual exploration tools to profile and understand datasets.
  • Create and share rich data visualizations and dashboards.
Read more...

Artificial Intelligence for Data Analysis in the Financial Sector

 28 Hours
This instructor-led, live training in Maia (online or onsite) is aimed at beginner-level financial analysts who wish to integrate AI effectively into their data analysis processes. By the end of this training, participants will be able to:
  • Understand the application of AI in data analysis specific to the financial industry.
  • Develop skills to build predictive and prescriptive models for financial analysis.
  • Learn how to implement machine learning algorithms for financial data processing.
  • Enhance data visualization and interpret complex AI-driven insights for decision-making.
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Power BI for Financial Analysts: Certification Preparation (PL-300)

 14 Hours
This instructor-led, live training in Maia (online or onsite) is aimed at beginner-level financial analysts who wish to learn how to use Power BI for data analysis, reporting and dashboard creation, and prepare for Power BI certification (PL-300). By the end of this training, participants will be able to:
  • Navigate and use Power BI Desktop and Power BI Service.
  • Connect to various data sources and transform data using Power Query.
  • Create interactive dashboards and reports.
  • Use DAX (Data Analysis Expressions) for calculations and data modeling.
  • Publish and share reports securely within an organization.
  • Prepare for Power BI certification (PL-300: Microsoft Power BI Data Analyst).
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QuickSight Dashboard Authoring and Administration

 14 Hours
This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level data and business analysts who wish to create, manage, and administer dashboards using Amazon QuickSight. By the end of this training, participants will be able to:
  • Understand the benefits, use cases, and key features of Amazon QuickSight.
  • Learn to connect QuickSight to multiple data sources and author interactive data visualizations and dashboards.
  • Apply security and access controls in QuickSight.
  • Utilize machine learning capabilities built into QuickSight for enhanced data insights.
  • Design, create, and customize QuickSight dashboards to extract and visualize business insights.
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Business Intelligence Reporting Tool (BIRT)

 14 Hours
This instructor-led, live training in Maia (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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Data Analytics with Python in Power BI

 28 Hours
This instructor-led, live training in Maia (online or onsite) is aimed at expert-level data analysts who wish to leverage Python's data analysis capabilities within Power BI, enhancing their ability to analyze and visualize data effectively. By the end of this training, participants will be able to:
  • Learn how Python can be integrated into Power BI for data analysis.
  • Use Python scripts to load, clean, and preprocess data within the Power BI environment.
  • Enhance data visualization capabilities by creating custom and interactive visualizations using Python.
  • Acquire advanced data analysis skills using Python.
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Oracle Business Intelligence (OBI)

 28 Hours
This instructor-led, live training in Maia (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 Maia (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 Maia (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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Data Analysis with Python, R, Power Query, and Power BI

 21 Hours
This instructor-led, live training in Maia (online or onsite) is aimed at beginner-level professionals who wish to clean and analyze data, make statistical projections, and create insightful visualizations using these tools. By the end of this training, participants will be able to:
  • Understand the basics of Python, R, Power Query, and Power BI for data analysis.
  • Clean and organize datasets using Python and Power Query.
  • Perform statistical analysis and projections with R.
  • Create professional dashboards and reports with Power BI.
  • Integrate and analyze data from multiple sources effectively.
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Cognos Analytics for Finance: Certification Preparation

 28 Hours
This instructor-led, live training in Maia (online or onsite) is aimed at beginner-level to advanced-level consultants and finance professionals who wish to prepare for the Cognos Analytics certification and gain expertise in financial data analysis, including modules for accounts payable, treasury, and expenses. By the end of this training, participants will be able to:
  • Navigate and utilize the Cognos Analytics interface efficiently.
  • Develop and customize financial reports and dashboards.
  • Manage data models and optimize queries.
  • Prepare for the Cognos Analytics certification exam.
Read more...

PowerBI Integration with SAP Business One

 21 Hours
This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level business intelligence professionals who wish to have a comprehensive understanding and practical skill set for integrating PowerBI with SAP B1. By the end of this training, participants will be able to:
  • Understand the fundamentals of SAP Business One and PowerBI.
  • Successfully integrate PowerBI with SAP B1, including setting up the necessary tools and connectors.
  • Efficiently extract data from SAP B1 and transform it in PowerBI for effective analysis.
  • Create dynamic and insightful reports and dashboards in PowerBI using data from SAP B1.
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Sisense Business Intelligence

 14 Hours
This instructor-led, live training in Maia (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 Maia (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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Getting Started with Looker Studio

 14 Hours
This instructor-led, live training in Maia (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to build foundational skills for data visualization and reporting using Looker Studio, and learn how to connect data sources, visualize information effectively, and gain actionable insights. By the end of this training, participants will be able to:
  • Understand the core features of Looker Studio and its use cases.
  • Set up Looker Studio and connect to various data sources.
  • Create engaging dashboards with charts, graphs, and filters.
  • Customize reports for specific audiences and business needs.
  • Collaborate on and share dashboards effectively.
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Splunk Fundamentals 2

 14 Hours
This instructor-led, live training in Maia (online or onsite) is aimed at intermediate-level data analysts who wish to deepen their understanding of Splunk and build upon their foundational knowledge acquired in Splunk Fundamentals 1. By the end of this training, participants will be able to:
  • Conduct advanced searches using Splunk's powerful search commands and capabilities.
  • Utilize subsearches, statistical commands, and evaluation functions to analyze data.
  • Create sophisticated reports and dashboards with advanced visualization options.
  • Implement alerts and scheduled reports for monitoring and notification purposes.
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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 and AI in Connection to Bank Examination Process

 35 Hours
The "Big Data and AI in Banking" training program is designed to equip professionals in the banking industry with essential skills and knowledge to harness the power of Big Data and artificial intelligence. Participants will explore foundational concepts, technologies, and practical applications of Big Data and AI within the banking sector. The training will encompass a blend of theoretical instruction, case studies, hands-on sessions, and discussions on regulatory implications, ethical considerations, and best practices.  By the end of this training, participants will be able to:
  1. Understand Key Concepts: Provide participants with a foundational understanding of Big Data and AI, including their significance in the banking sector. 
  2. Explore Technologies: Familiarize attendees with core Big Data technologies, including Hadoop and Spark, and the relevance of NoSQL databases. 
  3. Leverage Data Sources: Teach participants to identify and utilize various internal and external data sources for effective banking operations. 
  4. Applications of AI: Illustrate the use of AI techniques in bank examinations, such as risk assessment, fraud detection, and predictive modeling. 
  5. Implement Data Analytics: Equip participants with the skills to apply data analytics methods for trend identification and risk management in banking contexts 
  6. Address Ethical Considerations: Discuss the ethical implications of using Big Data and AI in banking and the importance of compliance with regulations 
  7. Prepare for Future Trends: Prepare participants to navigate future innovations in technology and develop strategies for the integration of Big Data and AI into banking practices 
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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
In this instructor-led, live training in Maia, 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.
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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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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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Qlik Sense for Data Science

 14 Hours
This instructor-led, live training in Maia (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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Splunk Data Administration

 14 Hours
This instructor-led, live training in Maia (online or onsite) is aimed at engineers who wish to get data into Splunk Indexers and manipulate data in Splunk. By the end of this training, participants will be able to:
  • Use different data input methods and sources.
  • Install, configure, manage and moniter Forwarders.
  • Manipulate raw data in Splunk.
  • Create a Splunk Diag.
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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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Stata: Beginner to Advanced

 14 Hours
This instructor-led, live training in Maia (online or onsite) is aimed at data analysts who wish to analyze large data sets with Stata. By the end of this training, participants will be able to:
  • Create statistic models for predicting key interest variables and events.
  • Generate descriptive visualizations, summary tables, frequencies, and more.
  • Manage and structure large datasets, ready for data analysis.
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Statistical Analysis with Stata and R

 35 Hours
This instructor-led, live training in (online or onsite) is aimed at data analysts who wish to use Stata and R to analyze big data for statistical analysis. By the end of this training, participants will be able to:
  • Create statistic models for predicting key interest variables and events.
  • Generate descriptive visualizations, summary tables, frequencies, and more.
  • Manage and structure large databases to preapare for data analysis.
Read more...

Data analysis with Tableau

 14 Hours
Tableau helps people see and understand data.
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Tableau Advanced

 14 Hours
Tableau helps people see and understand data.
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Testimonials (25)

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

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

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

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

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

Understanding big data beter

Shaune Dennis - Vodacom

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

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)

Younes is a great trainer. Always willing to assist, and very patient. I will give him 5 stars. Also, the QLIK sense training was excellent, due to an excellent trainer.

Dietmar Glanninger - BMW

Course - Qlik Sense for Data Science

Hands on exercise and the guidance of the trainer

Jackielou Nina Dellosa - Asiagate Networks, Inc.

Course - JasperReports

Share example of application

Course - Alteryx for Data Analysis

Very clearly articulated and explained

Harshit Arora - PwC South East Asia Consulting

Course - Alteryx for Developers

Labs, they were very interesting.

Aurora Sanz - ITALTEL SA

Course - Splunk Fundamentals

The second day as Power Bi is a really friendly tool, and clearly Costas knows it very well, it was really good to learn about that tool. Unfortunately we have to see Power pivot in excel first which is really not user friendly but definitely a must see first in order to understand how Power Bi works, and it makes Power Bi look super cool :)

Anne-Cecile Jacquot - Ameropa

Course - Excel to Power BI

Linear regression - the algorithm to predict the trend

Vincent Ko - UBS

Course - Data Preparation with Alteryx

The trainer answered all of my questions and gives us a walkthrough.

Mark Xavier Rimas - AIGSS- BPI

Course - Tableau Fundamentals to Advanced

The easy rapport with Gunnar was really helpful in learning the topic(s). There was little to no pressure to follow along perfectly with examples as can happen in some classes. He was very supportive and would happily retrace our steps and figure out the issue. Being the only person in the class allowed me to also ask a lot of questions of Gunnar. It was a very informative class.

Karen Salamy - Monterey Bay Aquarium Research Institute (MBARI)

Course - Getting Started with Apache Superset

Setting up the universal forwarder and heavy forwarder is something I know for a fact I will use on my team.

Madison Sample - Ultimate Knowledge

Course - Advanced Splunk

The second day was very interesting. It was a good training to see some possibilities within Power BI; but mostly you learn then while you work with Power BI. Fact is also that the training base has all access rights and everything works, but as soon as you try to connect to the live system, it does not work and this makes the knowledge transfer a bit difficult.

Marco Iuliano

Course - Power BI Dashboards

The knowledge of trainor about the tool.

Kendrick Bacani - Thakral One Inc.

Course - Data analysis with Tableau

Provisional Upcoming Courses (Contact Us For More Information)

Qlik Sense for Data Science

2025-06-24 09:30
14 hours
Hotel Central Parque

SAP BusinessObjects Business Intelligence (BI)

2025-07-08 09:30
28 hours
Hotel Central Parque

Tableau Advanced

2025-07-22 09:30
14 hours
Hotel Central Parque

PowerBI Integration with SAP Business One

2025-08-05 09:30
21 hours
Hotel Central Parque

Big Data and AI in Connection to Bank Examination Process

2025-08-25 09:30
35 hours
Hotel Central Parque

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