Statistics Training in Merida

This instructor-led, live training in Merida (online or onsite) targets intermediate-level engineers and designers who want to utilize DFSS to embed quality into the product or process from the very beginning of the design phase.

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

• Grasping the core principles and concepts of Design for Six Sigma (DFSS).
• Mastering the DMAIC (Define, Measure, Analyze, Improve, Control) and DMADV (Define, Measure, Analyze, Design, Verify) methodologies.
• Applying DFSS tools and techniques to design and refine processes.
• Building the skills necessary to manage and lead DFSS projects successfully.

This instructor-led, live training in Merida (online or onsite) is aimed at advanced-level professionals who wish 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 with a focus 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 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 Merida (online or in-person) targets 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 in-depth knowledge of the Define, Measure, Analyze, Improve, and Control phases of Six Sigma.
• Effectively apply a diverse array of Six Sigma tools and techniques across each stage of DMAIC.
• Conduct and interpret statistical analyses to drive process improvement.
• Plan, execute, and oversee Six Sigma projects.

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

Upon completing this training, participants will be capable of:

• Gaining a robust understanding of Lean Six Sigma principles.
• Applying Six Sigma methodologies to enhance process quality by eliminating defect causes and reducing variability.
• Combining Lean and Six Sigma methodologies to achieve more efficient and effective process improvements.
• Mastering basic Lean Six Sigma tools and techniques that Yellow Belts can utilize in process improvement initiatives, such as 5S, Kaizen, and process mapping.

This instructor-led, live training in Merida (online or on-site) is designed for intermediate-level professionals who want to grasp both Six Sigma and Lean principles to lead substantial 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 Merida (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 Merida (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 Merida (online or onsite) is designed for advanced professionals seeking to develop the skills to handle complex Six Sigma projects and take on a leadership role in Six Sigma and Lean implementations.

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

• Develop a deep 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 Merida (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 allows users to create interactive and dynamic web applications directly from R, without needing knowledge of JavaScript or complex web frameworks.

This instructor-led live training (available online or onsite) is designed for intermediate-level R users who want to build and deploy custom web applications using Shiny for data visualization, user interaction, and reporting.

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

• Create interactive web applications using Shiny and R.
• Design user interfaces with reactive elements and dynamic inputs.
• Incorporate data visualizations and reporting features into Shiny apps.
• Deploy and share Shiny apps locally or online via Shiny Server or Posit Cloud.

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 Merida (online or onsite) is designed for beginner-level professionals seeking a foundational understanding of the Six Sigma methodology and its principles.

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

• Grasp the fundamentals of Six Sigma and comprehend the DMAIC process.
• Clarify the specific roles and duties of a White Belt within a Six Sigma project framework.
• Acquire the skills to apply Six Sigma principles to uncover improvement opportunities and back Six Sigma initiatives within an organization.

This instructor-led, live training in Merida (online or onsite) is aimed at scientists who wish to learn and use the Design of Experiments (DoE) to understand the cause-and-effect relationship 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 Merida (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 Merida (online or onsite) is aimed at intermediate-level to advanced-level 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 platform for statistical computing, data analytics, and graphics. This course provides students with an introduction to the R programming language, covering language fundamentals, libraries, and advanced topics. Participants will learn advanced data analytics and visualization techniques using real-world datasets.

Target Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures and Hands-on Exercises

In today's business landscape, data analytics is an essential instrument. Throughout this course, we will concentrate on building practical skills for hands-on data analysis. The primary objective 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

R is a widely used programming language in the financial sector. Its applications span from core trading systems to risk management platforms.

In this instructor-led live training, participants will learn how to leverage R to build practical applications that address specific financial challenges.

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

• Grasp the fundamentals of the R programming language
• Select and use R packages and techniques to organize, visualize, and analyze financial data from diverse sources (CSV, Excel, databases, web, etc.)
• Develop applications to solve problems related to asset allocation, risk analysis, investment performance, and more
• Troubleshoot, integrate, deploy, and optimize R applications

Audience

• Developers
• Analysts
• Quants

Format of the course

• A mix of lectures, discussions, exercises, and extensive hands-on practice

Note

• This training is designed to provide solutions for key challenges faced by finance professionals. If you have a specific topic, tool, or technique you wish to include or expand upon, please contact us to make arrangements.

This instructor-led, live training in Merida (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.

This instructor-led live training in Merida (online or onsite) is aimed at business analysts who wish to automate trade with algorithmic trading, Python, and R.

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

• Employ algorithms to buy and sell securities at specialized increments rapidly.
• Reduce costs associated with trade using algorithmic trading.
• Automatically monitor stock prices and place trades.

Big Data encompasses solutions designed to store and process vast amounts of information. Initially developed by Google, these Big Data solutions have evolved and inspired numerous similar projects, many of which are now available as open-source. R has established itself as a widely used programming language within the financial sector.

This instructor-led, live training in Merida (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 instructor-led live training, offered online or on-site, is targeted at data analysts who want to program with R in SAS for cluster analysis.

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

• Use cluster analysis for data mining
• Master R syntax for clustering solutions.
• Implement hierarchical and non-hierarchical clustering.
• Make data-driven decisions to help to improve business operations.

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 Merida (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.

In this instructor-led live training, participants will master advanced machine learning techniques using R by working through the development of a real-world application.

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

• Understand and implement unsupervised learning techniques
• Apply clustering and classification methods to make predictions based on real-world data.
• Visualize data to quickly gain insights, make informed decisions, and further refine analysis.
• Improve the performance of a machine learning model using hyperparameter tuning.
• Deploy a model into production for integration into a larger application.
• Apply advanced machine learning techniques to address inquiries involving social network data, big data, and more.

Shiny is an open-source R package that serves as a web framework for creating interactive web applications using R.

During this instructor-led live training, participants will learn how to integrate data science with web development by leveraging Shiny, R, and HTML.

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

• Develop interactive web applications using R through Shiny

Target Audience

• Data scientists
• Web developers
• Statisticians

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

This instructor-led, live training in Merida (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 explores essential statistical techniques and metrics for data professionals. It delves into graphing and summarizing data distributions, understanding normal distribution patterns, and calculating key analytical measures, including mean, median, mode, standard deviation, and variance. This course equips participants with the foundational skills needed to manage real-world datasets and generate evidence-based insights. It is ideal for anyone looking to build a robust quantitative foundation for 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 preapare for data analysis.

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

This instructor-led, live training in Merida (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 with learning algorithms in R.
• Structure and visualize R functions in Tableau.
• Make data driven decisions for business operations.

This instructor-led, live training in Merida (online or onsite) is designed for 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 tailored to equip R users with the skills to build web applications without requiring knowledge of cross-browser HTML, JavaScript, or CSS.

Objective:

Explores the fundamental mechanics of how Shiny applications operate.

Addresses all frequently used input, output, rendering, and paneling functions within the Shiny library.

This instructor-led, live training in Merida (online or onsite) is designed for intermediate-level data analysts and business professionals who wish to conduct 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.