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Porto

NobleProg Porto, Av. da Boavista 1466, Porto, portugal, 4100-114

Our Venue is located on the city center of Porto, well connect by public transportation, with easy access by car with many options of parking places around the area. Surrounded by a large number of restaurants and commercial centres.

Four Points by Sheraton Matosinhos

188, Rua Sousa Aroso 188, 4450-286 Matosinhos, Matosinhos, Portugal, 4450-286 Matosinhos

Whether you travel for business, leisure or bleisure, Four Points by Sheraton Matosinhos welcomes you with four-star comfort, outstanding service and an ideal location in the city. The hotel offers a wide variety of facilities and services including a business center. Matosinhos beach is only 5 minutes walking distance from the hotel, perfect for surfing and other water sports. As a fishing area, local restaurants offer you the most wonderful fresh fishes and sea food for your delight.

Holiday Inn Porto - Gaia

220, Rua Diogo Macedo, 220, Vila Nova de Gaia 4400-107 , Gaia, Portugal

From Porto by Metro

If you're coming from Porto city centre:

  1. Take the Metro Line D (yellow line) toward Vila d’Este.
  2. Get off at João de Deus.
  3. From João de Deus, walk about 13 minutes to:
    Rua Diogo Macedo 220, 4400-107 Vila Nova de Gaia.

From Vila Nova de Gaia train station

If by “local train station” you mean Vila Nova de Gaia-Devesas:

  • The address is approximately 12 minutes walking from Vila Nova de Gaia station according to the accommodation's location information.
  • You can therefore walk directly rather than taking the metro.

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.

Explore Our Courses

R Markdown for Dynamic Documents and Reproducible Reporting

 14 Hours
This instructor-led training in Porto focuses on the fundamentals of R Markdown for creating dynamic and reproducible reports. It empowers R users to build documents with code chunks, render outputs to HTML, PDF, and Word, and apply parameterized reports, themes, and LaTeX styling for professional, automated documentation.
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Data Analytics with Tableau, Python, R, and SQL

 35 Hours

This instructor-led live training in Porto (online or onsite) is aimed at data analysts and anyone interested in learning 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:

  • Execute data analysis using Python, R, and SQL.
  • Generate insights through data visualization with Tableau.
  • Make data-driven decisions to support business operations.
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Data Analysis with Python, R, Power Query, and Power BI

 21 Hours

This instructor-led, live training in Porto (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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Shiny App Web Development with R

 14 Hours
This instructor-led Shiny training in Porto enables intermediate R users to develop interactive web applications without requiring JavaScript. Learn to design reactive interfaces, integrate data visualisations, and deploy applications. Acquire practical skills for creating dynamic dashboards and reports efficiently.
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Statistical Analysis with Stata and Integration with R

 35 Hours

This instructor-led, live training in Porto (online or onsite) is aimed at intermediate to advanced computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.

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

  • Effectively use Stata for data analysis and statistical modeling.
  • Compare Stata’s functionalities with SPSS and R.
  • Integrate Stata with R for seamless statistical computing.
  • Develop and automate workflows using Stata and R.
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Data Analytics With R

 21 Hours
This three-day, practice-oriented course focusing on Porto delves into the fundamentals of R, data handling, and visualization via packages such as ggplot2. Participants will engage with statistical modelling, regression analysis, and machine learning methods—including clustering and classification—applied to real-world data.
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Data and Analytics - from the ground up

42 Hours
This practical course in Porto establishes core data analytics skills using Excel, VBA, and R. Participants will acquire competencies in data manipulation, visualisation, and machine learning, enabling them to predict trends, optimise operations, and drive evidence-based business decisions.
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Advanced R

 14 Hours

This instructor-led, live training in Porto (online or onsite) is aimed at intermediate-level advanced R users who wish to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.

By the end of this training, participants will be able to: create reusable functions, improve data workflows, debug and optimize code, and produce reproducible reports.

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Programming with Big Data in R

 21 Hours
Discover the core principles of handling Big Data using R, a language highly valued in finance. This course in Porto guides you through configuring the environment, utilising MPI for parallel processing, and managing distributed matrices. You will learn to manage large-scale datasets, execute distributed regression models, and efficiently implement Monte Carlo methods.
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Introductory R (Basic to Intermediate)

 14 Hours

This instructor-led, live training in Porto (online or onsite) is aimed at beginner-level data analysts who wish to use R programming to manipulate data, perform basic data analysis, and create compelling visualizations for insights.

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

  • Understand the basics of R Programming.
  • Apply fundamental data science processes.
  • Create visual representations of data.
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KNIME with Python and R for Machine Learning

 14 Hours

This instructor-led live training in Porto (online or onsite) is aimed at data scientists who wish to program in Python and R for KNIME.

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

  • Plan, build, and deploy machine learning models within KNIME.
  • Make data-driven decisions for operations.
  • Implement end-to-end data science projects.
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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 statistical models for predicting key interest variables and events.
  • Generate descriptive visualizations, summary tables, frequencies, and more.
  • Manage and structure large databases to prepare for data analysis.
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Data Science with Tableau and R Programming

 14 Hours

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

This instructor-led live training in Porto (online or onsite) is aimed at data scientists who wish to program in R for Tableau.

  • Implement Tableau analytics with R.
  • Return values to Tableau using learning algorithms in R.
  • Structure and visualise R functions in Tableau.
  • Make data driven decisions for business operations.
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Building Web Applications in R with Shiny

 7 Hours
This course in Porto empowers R users to build web applications using Shiny without requiring advanced HTML or CSS knowledge. It addresses core concepts, UI customization, advanced reactive features, and data sharing, offering practical insights for creating dynamic, interactive data-driven applications.
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Forecasting with R

 14 Hours

This instructor-led, live training in Porto (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.

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

  • Understand the fundamentals of forecasting techniques in R.
  • Apply exponential smoothing and ARIMA models for time series analysis.
  • Utilize the ‘forecast’ package to generate accurate forecasting models.
  • Automate forecasting workflows for business and research applications.
Read more...

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Testimonials (6)

a multitude of points

Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB

Course - Statistical Analysis with Stata and R

knowledge of the trainer, tailor based, all topics covered

eleni - EUAA

Course - Forecasting with R

The real life applications using Statcan and CER as examples.

Matthew - Natural Resources Canada

Course - Data Analytics With R

Trainer was good. Had a good rapport with him. Was able to ask him anything and was knowledgeable.

Pranay - Lotterywest

Course - Building Web Applications in R with Shiny

Very practical

Deenan - Vodacom

Course - Data and Analytics - from the ground up

The subject matter and the pace were perfect.

Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course - Programming with Big Data in R

Provisional Upcoming Courses (Contact Us For More Information)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-10-28 09:30
14 hours
Porto

Building Web Applications in R with Shiny

2026-11-11 09:30
7 hours
Porto

Statistical Analysis with Stata and Integration with R

2026-11-25 09:30
35 hours
Porto

Introductory R (Basic to Intermediate)

2026-12-09 09:30
14 hours
Porto

Introductory R (Basic to Intermediate)

2026-12-23 09:30
14 hours
Porto

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