Statistics Training in Évora

This instructor-led, live training in Évora (online or on-site) is targeted at intermediate-level engineers and designers who wish to utilise DFSS to embed quality into the product or process from the start of the design phase.

Upon completion of this training, participants will be capable of:

• Grasping the principles and concepts underlying Design for Six Sigma (DFSS).
• Familiarising themselves with the DMAIC (Define, Measure, Analyze, Improve, Control) and DMADV (Define, Measure, Analyze, Design, Verify) methodologies.
• Applying DFSS tools and techniques to design and optimise processes.
• Acquiring the skills necessary to manage and lead DFSS projects effectively.

This instructor-led, live training in Évora (online or onsite) is targeted at advanced-level professionals wishing to gain an in-depth understanding of the Six Sigma DMAIC methodology at a Black Belt level.

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

• Develop a comprehensive understanding of the Define, Measure, Analyze, Improve, and Control phases, focusing on complex projects.
• Gain expertise in advanced statistical analysis techniques for data-driven decision-making.
• Lead large-scale Six Sigma projects and manage project teams effectively.
• Implement significant process improvements that align with organisational goals and strategies.

R Markdown is an authoring framework that combines executable R code with narrative text to create dynamic and reproducible documents.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level R users who wish to generate automated, dynamic reports using R Markdown for internal documentation, research publications, or web publishing.

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

• Create R Markdown documents with embedded R code chunks and formatted text.
• Generate outputs in multiple formats including HTML, PDF, and Word.
• Use parameterized reports and conditional logic to generate dynamic content.
• Customize document appearance with themes, templates, and LaTeX for professional presentation.

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.

This instructor-led, live training in Évora (online or onsite) is designed for intermediate-level professionals seeking a comprehensive understanding of the DMAIC methodology and preparation for the role of an effective Six Sigma Green Belt.

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

• Acquire in-depth knowledge of the Define, Measure, Analyze, Improve, and Control phases of Six Sigma.
• Effectively apply a broad array of Six Sigma tools and techniques across each phase of DMAIC.
• Conduct and interpret statistical analyses to drive process improvement.
• Plan, execute, and manage a Six Sigma project.

This instructor-led live training in Évora (online or onsite) is designed for beginner-level professionals aiming to gain a foundational understanding of Six Sigma and Lean principles, allowing them to integrate these approaches to improve business processes.

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

• Gain a robust comprehension of Lean Six Sigma principles.
• Apply Six Sigma methodologies to enhance process quality by eliminating defect causes and reducing variability.
• Combine Lean and Six Sigma methodologies to achieve more efficient and effective process improvements.
• Utilize essential Lean Six Sigma tools and techniques—such as 5S, Kaizen, and process mapping—within Yellow Belt-level process improvement initiatives.

This instructor-led, live training in Évora (online or onsite) targets intermediate-level professionals who wish to understand both Six Sigma and Lean principles in order to lead significant process improvement projects in their organizations.

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

• Develop a comprehensive understanding of how Lean and Six Sigma methodologies can be integrated for process improvement.
• Gain in-depth knowledge and application skills in the Define, Measure, Analyze, Improve, and Control phases.
• Apply advanced statistical tools for data-driven decision-making and process analysis.
• Lead and manage Lean Six Sigma projects effectively.

This instructor-led, live training in Évora (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.

This instructor-led, live training in Évora (online or onsite) is aimed at advanced-level professionals who wish to gain the skills to handle complex Six Sigma projects and take a leadership role in Six Sigma and Lean implementations.

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

• Develop an in-depth understanding of advanced Six Sigma and Lean methodologies and tools.
• Lead complex process improvement projects that align with organizational strategies.
• Perform complex statistical analyses and make data-driven decisions.
• Effectively lead change initiatives and build a culture of continuous improvement.

This instructor-led, live training in Évora (online or onsite) is aimed at beginner-level professionals who wish to have a deeper understanding of the Six Sigma methodology and its principles and master the DMAIC process.

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

• Gain knowledge beyond the basic principles covered in the White Belt course.
• Master the DMAIC process and learn advanced Six Sigma tools.
• Learn how to effectively contribute to a Six Sigma project team and collaborate with Green and Black Belts.
• Apply Six Sigma methodologies to real-world business processes for improvement.

Shiny is an R package that empowers users to develop interactive and dynamic web applications directly within the R environment, eliminating the need for JavaScript expertise or knowledge of complex web frameworks.

This instructor-led live training, available online or on-site, targets intermediate R users aiming to construct and deploy custom web applications using Shiny for data visualization, user engagement, and reporting purposes.

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

• Develop interactive web applications leveraging Shiny and R.
• Design user interfaces incorporating reactive components and dynamic input controls.
• Integrate data visualizations and reporting capabilities into Shiny applications.
• Deploy and share Shiny apps either locally or online using Shiny Server or Posit Cloud.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation within a live-lab environment.

Customization Options

• For bespoke training arrangements, please contact us directly.

This live, instructor-led training in Évora (online or onsite) is designed for beginner-level professionals who aim to gain a basic understanding of Six Sigma methodology and its guiding principles.

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

• Comprehend the essentials of Six Sigma and learn the DMAIC process.
• Understand the specific roles and responsibilities of a White Belt in the context of a Six Sigma project.
• Learn how to apply Six Sigma principles to identify improvement opportunities and support Six Sigma projects within an organization.

This instructor-led, live training in Évora (online or onsite) is targeted at scientists eager to master and apply Design of Experiments (DoE) to decipher cause-and-effect relationships among various factors.

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

• Recognize the benefits of designed experiments compared to other methods.
• Identify cause-and-effect relationships and interactions between factors.
• Acquire best practices and guidelines for executing successful experiments.

This instructor-led, live training in Évora (online or onsite) is aimed at anyone who wishes to learn and master the fundamentals of econometric analysis and modeling.

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

• Learn and understand the fundamentals of econometrics.
• Utilize EViews and risk simulators.

This instructor-led, live training in Évora (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.

R is a widely used, open-source environment for statistical computing, data analysis, and data visualisation. This course provides students with an introduction to the R programming language, covering its core fundamentals, essential libraries, and advanced concepts. Participants will explore advanced data analytics and graphical techniques applied to real-world datasets.

Target Audience

Developers and data analysts

Duration

3 days

Delivery Format

Lecture-based instruction combined with practical, hands-on exercises

Data analytics serves as an essential instrument for modern business operations. This course concentrates on cultivating practical skills for hands-on data analysis, empowering participants to provide evidence-based responses to critical inquiries:

What has occurred?

• processing and analysing data
• generating insightful data visualisations

What is anticipated to happen?

• forecasting future performance
• evaluating forecast accuracy

What ought to happen?

• transforming data into evidence-driven business decisions
• optimising operational processes

This course empowers financial analysts and accountants with advanced techniques for automating complex calculations and reports. It covers the core principles of financial functions, INDEX-MATCH lookups, database queries, PivotTables, PivotCharts, and external data integration. Participants will delve into Goal Seek, Solver, Analysis ToolPak, and VBA macros to automate recurring workflows. The training helps professionals transform raw figures into actionable financial insights and accurate forecasts for strategic planning.

This instructor-led, live training in Évora (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.

Big Data refers to the range of solutions designed for storing and processing extensive data sets. Originally developed by Google, these Big Data solutions have advanced and inspired numerous similar initiatives, many of which are now available as open-source projects. R has become a widely adopted programming language within the financial sector.

This instructor-led, live training in Évora (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.

This course is intended for people that already have a background in data science and statistics. The explanations given are designed to either serve as a reminder to those that are already familiar with the concepts or inform those with a suitable background.

This instructor-led live training in Évora (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.

Building confidence in statistical analysis begins with Minitab, an industry-standard tool for quality assurance and analytical decision making. It explores core techniques across descriptive statistics, distribution modelling, regression methods, experimental design, and control charts for process monitoring. It equips practitioners to deploy confidence intervals, hypothesis testing, and analysis of variance workflows to surface actionable signals within complex datasets.

This instructor-led, live training in Évora (online or onsite) is aimed at process department personnel and operations team members who wish to master practical process improvement techniques using Six Sigma principles and BPMN 2.0 modeling.

Statistics Level 1 introduces essential statistical methods and metrics for data professionals. It explores the visualization and summarization of data distributions, the identification of normal distribution patterns, and the calculation of key analytical measures such as mean, median, mode, standard deviation, and variance. The course provides participants with the foundational skills required to manage real-world datasets and generate evidence-based outcomes. It is highly suitable for individuals aiming to establish a robust quantitative base for careers in data science and analytics.

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.

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

This instructor-led live training in Évora (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.

This instructor-led, live training in Évora (online or onsite) targets advanced-level data professionals who wish to use Tableau to build complex visualizations, optimize dashboards, and perform advanced data analysis.

By the end of this training, participants will be able to install and configure Tableau for advanced use, create advanced calculations, design interactive dashboards, and optimize performance.

Description:

This course is crafted to equip R users with the skills to build web applications without requiring proficiency in cross-browser HTML, JavaScript, or CSS.

Objective:

Introduces the fundamental principles of how Shiny applications function.

Explores all frequently utilized input, output, rendering, and paneling functions available within the Shiny library.

This instructor-led, live training in Évora (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.