Statistics Training in Istanbul

This instructor-led live training in Istanbul (online or on-site) is designed for intermediate engineers and designers who aim to embed quality into their products or processes starting from the initial design stage.

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

• Comprehend 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 Istanbul (online or onsite) is targeted at advanced professionals who wish to gain an in-depth 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 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 Istanbul (online or in-person) is tailored for intermediate-level professionals who wish to gain a thorough understanding of the DMAIC methodology and prepare for the role of a 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 Istanbul (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 instructor-led, live training in Istanbul (offered online or on-site) is designed for intermediate-level professionals eager to grasp both Six Sigma and Lean principles, enabling them to lead impactful process improvement projects within 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 Istanbul (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 Istanbul (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 Istanbul (online or onsite) is designed for advanced professionals who aim to acquire the skills necessary to manage complex Six Sigma projects and assume leadership roles in Six Sigma and Lean initiatives.

Upon completing 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 guiding change initiatives and fostering a culture of continuous improvement.

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

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

• Gain knowledge that extends 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 R, eliminating the need for JavaScript expertise or complex web frameworks.

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

Upon completing this training, participants will be capable of:

• Developing interactive web applications utilizing Shiny and R.
• Crafting user interfaces equipped with reactive elements and dynamic inputs.
• Integrating data visualization tools and reporting capabilities into Shiny applications.
• Deploying and sharing Shiny applications locally or online via Shiny Server or Posit Cloud.

Course Format

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

Customization Options

• To arrange a customized training session for this course, please contact us.

This instructor-led, live training in Istanbul (online or onsite) is tailored for beginner-level professionals who aim 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 Istanbul (online or onsite) is designed for scientists who want to learn and apply 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 Istanbul (online or onsite) is designed for individuals looking to learn and master the basics of econometric analysis and modeling.

Upon completing this training, participants will be able to:

• Learn and comprehend the fundamentals of econometrics.
• Utilize Eviews and risk simulators.

This instructor-led, live training in Istanbul (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 environment designed for statistical computing, data analytics, and graphics. This course provides students with an introduction to the R programming language, covering its fundamentals, libraries, and advanced concepts. Participants will learn how to perform advanced data analytics and create graphics using real-world datasets.

Target Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures and Hands-on

Data analytics serves as a pivotal asset in contemporary business environments. Our primary focus throughout this course is to cultivate practical, hands-on skills in data analysis. The objective is to empower participants to formulate evidence-based responses 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 course on Analyzing Financial Data in Excel 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. It delves 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 Istanbul (online or onsite) is designed for intermediate-level R users who aim 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, enhance data workflows, debug and optimize code, and produce reproducible reports.

Big Data encompasses solutions designed for the storage and processing of massive datasets. Originally developed by Google, these Big Data frameworks have evolved and inspired numerous similar initiatives, many of which are available as open-source software. R is widely recognized as a leading programming language within the financial sector.

This instructor-led live training, delivered Istanbul (online or onsite), is tailored for beginner-level data analysts who intend to use R programming for data manipulation, basic data analysis, and creating impactful visualizations to uncover insights.

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

• Grasp the core principles of R Programming.
• Implement fundamental data science processes.
• Generate visual representations of data.

This instructor-led, live training in Istanbul (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, the industry-standard tool for quality assurance and analytical decision-making. This course explores core techniques across descriptive statistics, distribution modeling, 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 uncover actionable signals within complex datasets.

This instructor-led, live training in Istanbul (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 graphing and summarizing data distributions, interpreting normal distribution patterns, and computing key analytical measures such as mean, median, mode, standard deviation, and variance. The course equips participants with the foundational skills required to manage real-world datasets and generate evidence-based insights. It is ideal for individuals aiming to establish a robust quantitative base for data science and analytics careers.

This instructor-led live training, available online or onsite, targets data analysts who aim to use Stata and R for analyzing big data through statistical methods.

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

• Create statistical models to predict key variables of interest and events.
• Generate descriptive visualizations, summary tables, frequencies, and more.
• Manage and structure large databases in preparation for data analysis.

Upon completing this training, participants will be equipped with the following capabilities:

This instructor-led, live training in Istanbul (online or onsite) is designed for data scientists who aim 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 Istanbul (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 to equip R users with the skills to develop web applications without the need to master cross-browser HTML, JavaScript, or CSS.

Objective:

It provides a foundational understanding of the mechanics behind Shiny applications.

It explores all the commonly utilized functions for inputs, outputs, rendering, and paneling within the Shiny library.

This instructor-led, live training in Istanbul (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.