Statistics Training in Bologna

This instructor-led, live training session, held online or in-person, is designed for intermediate-level engineers and designers who wish to utilize DFSS to ensure that quality is embedded into the product or process from the onset of the design phase.

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

• Understand the principles and concepts of Design for 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 guided, live training held in Bologna (online or onsite) is intended for experienced professionals who aim to achieve a profound 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 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 integrates executable R code with narrative text to produce dynamic and reproducible documents.

This instructor-led live training, available online or onsite, targets beginner to intermediate R users who want to create automated, dynamic reports using R Markdown for internal documentation, research publications, or web publishing.

Upon completing this training, participants will be able to:

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

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 Bologna (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.

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

• Acquire a thorough knowledge of the Define, Measure, Analyze, Improve, and Control phases of Six Sigma.
• Effectively apply a wide range of Six Sigma tools and techniques 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 Bologna (online or onsite) is designed for beginner-level professionals who wish to acquire a fundamental understanding of Six Sigma and Lean principles to integrate them and improve business processes.

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

• Obtain a solid understanding of Lean Six Sigma principles.
• Use Six Sigma methodologies to improve process quality by removing the causes of defects and minimizing variability.
• Integrate Lean and Six Sigma methodologies to achieve more efficient and effective process improvements.
• Apply basic Lean Six Sigma tools and techniques that Yellow Belts can use in process improvement projects, such as 5S, Kaizen, and process mapping.

This instructor-led, live training in Bologna (online or onsite) is designed for 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 Bologna (online or onsite) is designed for data analysts and professionals eager to master the integration of Tableau, Python, R, and SQL for effective data visualization and analysis.

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

• Conduct data analysis using Python, R, and SQL.
• Derive actionable insights through data visualization in Tableau.
• Support business operations with data-driven decision-making.

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

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

• Gaining a profound understanding of advanced Six Sigma and Lean methodologies and tools.
• Leading complex process improvement projects 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 session in Bologna (online or onsite) is designed for beginner-level professionals who wish to gain a deeper understanding of the Six Sigma methodology and its principles, as well as master the DMAIC process.

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

• Acquire knowledge that extends beyond the basic principles covered in the White Belt course.
• Master the DMAIC process and become proficient with advanced Six Sigma tools.
• Learn to effectively contribute to a Six Sigma project team and collaborate seamlessly with Green and Black Belts.
• Apply Six Sigma methodologies to real-world business processes to drive improvement.

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

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

Upon completing this training, participants will be capable of:

• Developing interactive web applications using Shiny and R.
• Designing user interfaces with reactive elements and dynamic inputs.
• Integrating data visualizations and reporting features into Shiny apps.
• Deploying and sharing Shiny apps locally or online via Shiny Server or Posit Cloud.

Format of the Course

• Interactive lecture and discussion.
• Ample 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 Bologna (online or onsite) is tailored for beginner-level professionals seeking a fundamental understanding of the Six Sigma methodology and its core principles.

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

• Comprehend the fundamentals of Six Sigma and grasp the DMAIC process.
• Recognize the specific roles and responsibilities of a White Belt within the context of a Six Sigma project.
• Apply Six Sigma principles to identify opportunities for improvement and support Six Sigma initiatives within an organization.

This instructor-led, live training in Bologna (online or onsite) is designed for scientists who wish to learn and utilize 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 Bologna (available online or onsite) is intended for anyone looking 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 core principles of econometrics.
• Apply Eviews and risk simulators in practical scenarios.

This instructor-led, live training in Bologna (online or onsite) is designed for 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 stands as a highly popular, open-source environment dedicated to statistical computing, data analytics, and graphics. This course provides students with an introduction to the R programming language, covering foundational language elements, essential libraries, and advanced concepts. Participants will engage in advanced data analytics and visualization techniques using real-world datasets.

Target Audience

Developers and data analytics professionals

Duration

3 days

Format

Instructional lectures combined with hands-on practice

In today’s business landscape, data analytics serves as a vital asset. This course places a strong emphasis on cultivating practical, hands-on skills in data analysis. The primary objective is to empower participants with the ability to provide evidence-based answers to key business inquiries: 

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

Analysing Financial Data in Excel provides financial analysts and accountants with advanced techniques for automating complex calculations and reports. It covers core principles of financial functions, INDEX-MATCH lookups, database queries, PivotTables, PivotCharts, and external data integration. The course dives into Goal Seek, Solver, Analysis ToolPak, and VBA macros for automating recurring workflows. It helps professionals transform raw figures into actionable financial insights and accurate forecasts for strategic planning.

This instructor-led, live training in Bologna (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 denotes solutions designed for the storage and processing of extensive data sets. Initially pioneered by Google, these Big Data solutions have evolved and spurred the creation of other similar projects, many of which are accessible as open-source software. R has established itself as a widely adopted programming language within the financial sector.

Provided as an instructor-led live training in Bologna (online or on-site), this course targets beginner-level data analysts looking to utilize R programming for data manipulation, basic analytical tasks, and the creation of insightful visualizations.

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

• Comprehend the fundamentals of R Programming.
• Apply core data science methodologies.
• Generate visual data representations.

This instructor-led, live training in Bologna (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.

Establishing trust in statistical analysis starts with Minitab, a widely recognized standard tool for quality assurance and data-driven decision-making. This course covers essential methods including descriptive statistics, distribution modeling, regression analysis, experimental design, and control charts for process monitoring. It prepares professionals to utilize confidence intervals, hypothesis testing, and analysis of variance to extract meaningful insights from complex data sets.

This instructor-led, live training in Bologna (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 fundamental statistical methods and metrics essential for data professionals. The course delves into visualizing and summarizing data distributions, grasping normal distribution patterns, and computing critical analytical indicators such as mean, median, mode, standard deviation, and variance. It provides participants with the essential groundwork to manage real-world datasets and derive evidence-based insights. This course is particularly suited for individuals aiming to establish a robust quantitative basis for careers in data science and analytics.

This instructor-led, live training (available online or onsite) is tailored for data analysts who wish to use Stata and R to analyze big data for statistical purposes.

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

• Create statistical models for predicting key variables and events of interest.
• 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 Bologna (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 visualize R functions in Tableau.
• Make data-driven decisions for business operations.

This instructor-led, live training in Bologna (online or onsite) is aimed at 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 for R users, guiding them through the process of building web applications without the need to master cross-browser HTML, JavaScript, and CSS.

Objective:

Provides a foundational understanding of how Shiny applications function.

Explores the full range of commonly utilized input, output, rendering, and layout functions available in the Shiny library.

This instructor-led, live training in Bologna (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.