Statistics Training in Thessaloniki

This instructor-led, live training, available either online or on-site, targets intermediate-level engineers and designers who wish to employ DFSS to ensure quality is embedded into the product or process from the outset of the design phase.

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

• Understand the core 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 optimise processes.
• Develop skills to manage and lead DFSS projects effectively.

This instructor-led, live training in Thessaloniki (online or onsite) is designed for seasoned professionals aiming to deepen their expertise in the Six Sigma DMAIC methodology at the Black Belt level.

By the conclusion of this training, attendees will be capable of:

• Gaining a robust understanding of the Define, Measure, Analyze, Improve, and Control phases, with a focus on handling complex projects.
• Developing proficiency in advanced statistical analysis techniques for making informed, data-driven decisions.
• Leading extensive Six Sigma projects and managing team dynamics effectively.
• Driving 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 Thessaloniki (online or onsite) is aimed at intermediate-level professionals who wish to have 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:

• Gain a 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 for process improvement.
• Plan, execute, and manage a Six Sigma project.

This instructor-led, live training in Thessaloniki (online or onsite) is aimed at beginner-level professionals who wish to have 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.
• Teach basic Lean Six Sigma tools and techniques that Yellow Belts can apply in process improvement projects, such as 5S, Kaizen, and process mapping.

This live, instructor-led training in Thessaloniki (online or onsite) targets intermediate-level professionals who wish to understand both Six Sigma and Lean principles 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 Thessaloniki (online or onsite) is designed for 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:

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

This instructor-led, live training in Thessaloniki (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 Thessaloniki (online or onsite) is designed for experienced professionals seeking to master the skills necessary to manage complex Six Sigma projects and lead Six Sigma and Lean implementation efforts.

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

• Gain a comprehensive understanding of advanced Six Sigma and Lean methodologies and tools.
• Spearhead complex process improvement initiatives that align with organizational strategy.
• Conduct sophisticated statistical analyses to support data-driven decision-making.
• Drive change initiatives effectively and foster a culture of continuous improvement.

This instructor-led, live training in Thessaloniki (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 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 both online and onsite, targets intermediate-level R users who aim to develop and deploy custom web applications using Shiny for data visualization, user interaction, and reporting purposes.

Upon completing this training, participants will be able to:

• Develop interactive web applications utilizing Shiny and R.
• Design user interfaces incorporating reactive elements and dynamic inputs.
• Integrate data visualizations and reporting functionalities into Shiny applications.
• Deploy and share Shiny applications locally or online via Shiny Server or Posit Cloud.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical training.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

• To request a customized training session for this course, please contact us to make arrangements.

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

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

• Understand the basics 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 Thessaloniki (online or onsite) targets 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 Thessaloniki (online or on-site) 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 Thessaloniki (online or onsite) targets intermediate to advanced-level computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.

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

• Utilizing Stata effectively for data analysis and statistical modeling.
• Comparing the capabilities of Stata with those of SPSS and R.
• Integrating Stata with R to facilitate seamless statistical computing.
• Developing and automating workflows using both Stata and R.

R is a widely utilized, open-source environment designed for statistical computing, data analytics, and graphics. This course provides students with an introduction to the R programming language, covering fundamental syntax, essential libraries, and advanced concepts. Participants will engage in advanced data analytics and visualization techniques using real-world datasets.

Target Audience

Developers and Data Analysts

Duration

3 days

Format

Instructional lectures combined with practical, hands-on exercises

Audience

This course is designed for analysts, researchers, scientists, postgraduates, students, and anyone keen on mastering statistical analysis within Microsoft Excel.

Course Objectives

The primary goal is to enhance your proficiency in both Excel and statistical concepts, thereby boosting the productivity and efficiency of your professional or academic work.

Participants will learn to leverage the Analysis ToolPak in Microsoft Excel, utilize various statistical functions, and execute fundamental statistical procedures. The curriculum also addresses Excel's inherent limitations and provides strategies to circumvent them.

Data analytics is an essential instrument for modern business. Throughout this course, we will concentrate on cultivating practical, hands-on data analysis skills. Our 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

Unstructured data is estimated to represent over 90% of all existing data, with a significant portion appearing as text. Sources such as blog posts, tweets, social media platforms, and other digital publications continuously contribute to this expanding volume of information.

This instructor-led, live training focuses on extracting valuable insights and meaning from such data. By leveraging the R programming language alongside Natural Language Processing (NLP) libraries, the course integrates concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically decipher the meaning behind textual data. Data samples can be provided in various languages depending on customer requirements.

Upon completion of this training, participants will be capable of preparing datasets (both large and small) from diverse sources and applying appropriate algorithms to analyze and report on their significance.

Format of the Course

• A blend of lectures and discussions, emphasizing extensive hands-on practice, with occasional assessments to gauge understanding.

This course empowers financial analysts and accountants with advanced Excel 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 explore Goal Seek, Solver, Analysis ToolPak, and VBA macros to automate recurring workflows, helping professionals transform raw figures into actionable financial insights and accurate forecasts for strategic planning.

R is a widely adopted programming language within the financial sector. It supports financial applications spanning from core trading platforms to comprehensive risk management systems.

Through this instructor-led live training, participants will acquire the skills necessary to use R for developing practical applications that address specific financial challenges.

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

• Grasp the fundamental concepts of the R programming language
• Select and employ R packages and techniques to organize, visualize, and analyze financial data obtained from diverse sources (such as CSV, Excel, databases, web APIs, etc.)
• Construct applications that resolve issues related to asset allocation, risk analysis, investment performance evaluation, and other areas
• Troubleshoot, integrate, deploy, and optimize R applications

Audience

• Developers
• Analysts
• Quantitative Analysts

Course Format

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

Note

• This training is designed to offer solutions for key problems encountered by finance professionals. If there is a specific topic, tool, or technique you wish to explore in greater depth or add to the curriculum, please contact us to arrange for customization.

This instructor-led, live training in Thessaloniki (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.

Objectives:

To master the independent use of the SPSS program for advanced purposes, including its dialog boxes and command syntax, for implementing selected analytical techniques.

Target Audience:

Analysts, researchers, scientists, students, and anyone wishing to acquire advanced proficiency in the SPSS package and learn specific statistical models. The training addresses universal analytical problems and is tailored to a particular industry.

This instructor-led, live training in Thessaloniki (available online or onsite) is tailored for business analysts seeking to automate trading using algorithmic strategies, Python, and R.

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

• Utilize algorithms to rapidly buy and sell securities at specific, specialized increments.
• Lower costs associated with trading through the application of algorithmic methods.
• Automatically monitor stock prices and execute trades.

Big Data encompasses solutions designed for the storage and processing of large-scale datasets. Initially developed by Google, these Big Data frameworks have evolved and inspired numerous analogous projects, many of which are available as open-source software. R has established itself as a widely used programming language within the financial sector.

This instructor-led, live training in Thessaloniki (online or onsite) targets beginner-level data analysts seeking to use R programming for data manipulation, basic analysis, and creating insightful visualizations.

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 in Thessaloniki (online or onsite) targets data analysts interested in programming with R within 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 Thessaloniki (online or on-site) 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.

During this instructor-led, live training, participants will explore advanced Machine Learning techniques in R by building a practical, real-world application step-by-step.

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

• Understand and implement unsupervised learning techniques
• Utilize clustering and classification methods to make predictions based on real-world data.
• Visualize data to quickly gain insights, make informed decisions, and refine analytical approaches.
• Enhance the performance of machine learning models through hyper-parameter tuning.
• Deploy models into production for integration into larger applications.
• Apply advanced machine learning techniques to address challenges involving social network data, big data, and other domains.

R is an open-source, free programming language designed for statistical computing, data analysis, and graphics. It is increasingly utilized by managers and data analysts within both corporate environments and academia. R has also gained popularity among statisticians, engineers, and scientists who may lack extensive programming experience but find its usability appealing. The language's widespread adoption stems from the growing reliance on data mining for objectives such as optimizing pricing strategies, accelerating drug discovery, and refining financial models. R offers a comprehensive array of packages tailored for data mining tasks.

Shiny is an open-source R package designed to provide a web framework for constructing interactive web applications directly within R.

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

Upon completing this training, participants will be capable of:

• Constructing interactive web applications in R using Shiny

Target Audience

• Data scientists
• Web developers
• Statisticians

Course Format

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

This instructor-led, live training in Thessaloniki (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 instructor-led live training (available online or onsite) targets beginner to intermediate analysts, researchers, and professionals who want to leverage SPSS for data preparation, statistical analysis, and predictive modeling.

This course is designed for decision-makers whose primary objective is not to perform calculations or conduct analysis themselves, but to comprehend these processes and select the most appropriate statistical methods for their organization's strategic planning.

For instance, a prospective participant may need to decide how many samples must be collected before determining whether to launch a product.

If you require a more comprehensive course covering the fundamentals of statistical thinking, please consider our 5-day 'Statistics for Managers' training.

Statistics Level 1 introduces essential statistical methods and metrics for data professionals. It explores graphing and summarizing data distributions, understanding normal distribution patterns, and calculating key analytical measures including mean, median, mode, standard deviation, and variance. It equips participants with the foundations needed to handle real-world datasets and produce evidence-based results. Ideal for anyone building a strong quantitative foundation for data science and analytics.

This course is designed to help researchers grasp the fundamental principles of statistical design and analysis, highlighting their importance across various scientific fields.

The curriculum covers key probability and statistical methods, primarily illustrated through practical examples. The training structure consists of approximately 30% lectures and 70% guided quizzes and laboratory exercises.

For closed group courses, we can customize the examples and materials to suit a specific discipline, such as psychology testing, public sector work, biology, genetics, and more.

For public courses, a diverse mix of examples from various fields is utilized.

While the course employs various software tools (ranging from Microsoft Excel to SPSS and Statgraphics), the primary emphasis remains on comprehending the underlying principles and processes that guide research, reasoning, and conclusions.

This course can also be offered in a blended format, incorporating homework and assignments.

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.

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

This live, instructor-led training in Thessaloniki (available online or onsite) is designed for 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 Thessaloniki (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 designed to equip R users with the skills to build web applications without the need to learn cross-browser HTML, JavaScript, or CSS.

Objective:

Explores the fundamental mechanics of Shiny applications.

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

This instructor-led, live training in Thessaloniki (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.