Statistics Training in Manaus

This instructor-led live training, offered in Manaus (online or on-site), is designed for intermediate-level engineers and designers who want to leverage DFSS to embed quality into the product or process from the very beginning of the design phase.

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

• Understand the principles and concepts of Design Six Sigma (DFSS).
• Learn the DMAIC (Define, Measure, Analyze, Improve, Control) and DMADV (Define, Measure, Analyze, Design, Verify) methodologies.
• Apply DFSS tools and techniques to design and optimize processes.
• Develop skills to manage and lead DFSS projects effectively.

This instructor-led, live training in Manaus (online or onsite) is designed for advanced professionals aiming to achieve a comprehensive understanding of the Six Sigma DMAIC methodology at the Black Belt level.

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

• Develop a thorough 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 organizational goals and strategies.

R Markdown serves as an authoring framework that integrates executable R code with narrative text to produce dynamic and reproducible documents.

This instructor-led live training, available online or onsite, is designed for beginner to intermediate R users who want to generate automated, dynamic reports using R Markdown for purposes such as internal documentation, research publications, or web publishing.

Upon completing this training, participants will be capable of:

• Creating R Markdown documents that include embedded R code chunks and formatted text.
• Generating outputs in various formats, including HTML, PDF, and Word.
• Utilizing parameterized reports and conditional logic to produce dynamic content.
• Customizing the document's appearance using themes, templates, and LaTeX for a professional look.

Course Format

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

Course Customization Options

• To request customized training for this course, please contact us to arrange it.

This instructor-led, live training in Manaus (online or onsite) is designed for intermediate-level professionals who want to gain a comprehensive understanding of the DMAIC methodology and prepare for the role of an effective Six Sigma Green Belt.

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

• Acquire thorough knowledge of the Define, Measure, Analyze, Improve, and Control phases of Six Sigma.
• Apply a wide range of Six Sigma tools and techniques effectively within each phase of DMAIC.
• Perform and interpret statistical analyses to drive process improvement.
• Plan, execute, and manage a Six Sigma project.

This instructor-led, live training in Manaus (online or in-person) is designed for beginner-level professionals who wish to develop a fundamental understanding of Six Sigma and Lean principles to integrate them and improve business processes.

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

• Gain a robust understanding 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 basic Lean Six Sigma tools and techniques applicable in process improvement projects as a Yellow Belt, such as 5S, Kaizen, and process mapping.

This instructor-led, live training in Manaus (online or onsite) is designed for intermediate-level professionals seeking 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 Manaus (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.

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

• Perform data analysis using Python, R, and SQL.
• Create insights through data visualization with Tableau.
• Make data-driven decisions for business operations.

This instructor-led, live training in Manaus (online or onsite) is designed for beginner-level professionals who want 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:

• Grasp the fundamentals of Python, R, Power Query, and Power BI for data analysis.
• Clean and organize datasets using Python and Power Query.
• Conduct statistical analysis and projections with R.
• Develop professional dashboards and reports with Power BI.
• Effectively integrate and analyze data from multiple sources.

This instructor-led, live training in Manaus (online or onsite) is designed for advanced-level professionals who aim to acquire the skills necessary to manage complex Six Sigma projects and assume leadership roles in Six Sigma and Lean implementations.

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

• Gaining a deep understanding of advanced Six Sigma and Lean methodologies and tools.
• Leading complex process improvement initiatives that align with organizational strategies.
• Conducting complex statistical analyses and making data-driven decisions.
• Effectively leading change initiatives and fostering a culture of continuous improvement.

This instructor-led, live training in Manaus (online or onsite) is targeted 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 construct interactive and dynamic web applications directly within the R environment, eliminating the need for JavaScript expertise or complex web frameworks.

This instructor-led live training, available online or onsite, targets intermediate-level R users looking to create and deploy custom web applications. The course focuses on utilizing Shiny for data visualization, enhancing user interaction, and generating reports.

Upon completing this training, participants will be capable of:

• Building interactive web applications using Shiny combined with R.
• Designing user interfaces that feature reactive elements and dynamic inputs.
• Integrating data visualization tools and reporting capabilities into Shiny applications.
• Deploying and sharing Shiny apps locally or online via Shiny Server or Posit Cloud.

Course Format

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

Customization Options

• For requests regarding customized training for this course, please contact us to make arrangements.

This live, instructor-led training in Manaus (online or onsite) is tailored for beginner-level professionals seeking a foundational grasp of the Six Sigma methodology and its core principles.

Upon completing this training, participants will be capable of:

• Grasping the fundamentals of Six Sigma and mastering the DMAIC process.
• Comprehending the distinct roles and responsibilities associated with a White Belt within a Six Sigma project framework.
• Acquiring the skills to apply Six Sigma principles to identify areas for improvement and support Six Sigma initiatives within an organization.

This instructor-led live training in Manaus (online or onsite) is aimed at scientists who wish to learn and utilize Design of Experiments (DoE) to understand the cause-and-effect relationships between multiple factors.

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

• Understand the advantages of designed experiments over other approaches.
• Understand the cause-and-effect relationships and interactions between factors.
• Learn the best practices and guidelines for conducting successful experimentation.

This instructor-led live training in Manaus (online or onsite) targets anyone interested in mastering 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 Manaus (online or onsite) is designed for computer science professionals at intermediate to advanced levels who wish to leverage Stata for statistical analysis and integrate it with R.

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

• Use Stata effectively 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 highly popular, open-source environment designed for statistical computing, data analytics, and graphical visualization. This course provides students with an introduction to the R programming language, covering its core fundamentals, essential libraries, and advanced concepts. Participants will engage in advanced data analytics and graphing exercises using real-world datasets.

Target Audience

Developers and data analysts

Duration

3 days

Format

Instructional lectures combined with practical hands-on exercises

Data analytics is a vital asset in the modern business landscape. Throughout this course, we will concentrate on building practical, hands-on skills in data analysis. The goal is to empower participants to provide evidence-based answers to key questions:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led, live training in Manaus (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 solutions designed for storing and processing extensive data sets. Originally developed by Google, these Big Data solutions have evolved and inspired various other similar projects, many of which are available as open-source software. R has become a popular programming language within the financial industry.

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

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

• Plan, build, and deploy machine learning models in 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. Explores core techniques across descriptive statistics, distribution modelling, regression methods, experimental design, and control charts for process monitoring. 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 Manaus (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.

This course covers essential statistical techniques and metrics for data professionals. Participants will explore data visualization and summarization of distribution patterns, gain an understanding of normal distribution characteristics, and learn to calculate key analytical measures such as the mean, median, mode, standard deviation, and variance. The program provides the foundational knowledge required to manage real-world datasets and generate evidence-based insights. It is ideal for individuals seeking to build 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 statistic 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.

By the conclusion of this training, participants will be equipped with the ability to:

This instructor-led, live training in Manaus (online or onsite) is designed for data scientists aiming to program in R for Tableau.

• Integrate Tableau analytics with R.
• Return values to Tableau using learning algorithms in R.
• Organize and visualize R functions within Tableau.
• Drive business operations with data-informed decisions.

This instructor-led, live training in Manaus (online or onsite) is designed for advanced-level data professionals aiming to use Tableau for complex visualizations, dashboard optimization, and 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 tailored to help R users build web applications without the need to master cross-browser HTML, JavaScript, and CSS.

Objective:

It covers the fundamental workings of Shiny applications.

It encompasses all the most frequently used input, output, rendering, and paneling functions available in the Shiny library.

This instructor-led, live training in Manaus (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.