Statistics Training in Belgrade

This instructor-led, live training in Belgrade (online or on-site) is designed for intermediate-level engineers and designers who wish to utilize DFSS to embed quality into products or processes from the very beginning 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 instructor-led live training in Belgrade (online or onsite) targets advanced professionals who wish to achieve 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, 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 on-site) targets beginner to intermediate R users who aim to generate automated, dynamic reports using R Markdown for internal documentation, research publications, or web publishing.

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

• Creating R Markdown documents containing embedded R code chunks and formatted text.
• Generating outputs in various formats such as HTML, PDF, and Word.
• Utilizing parameterized reports and conditional logic to produce dynamic content.
• Customizing document appearance through 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.

This instructor-led, live training in Belgrade (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 Belts.

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 delivered in Belgrade (online or onsite) is designed for beginner-level professionals who want to establish a fundamental understanding of Six Sigma and Lean principles. The objective is to integrate these methodologies to improve business processes.

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

• Gain a robust comprehension 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 approaches to drive more efficient and effective process improvements.
• Utilize fundamental Lean Six Sigma tools and techniques, such as 5S, Kaizen, and process mapping, which Yellow Belts can implement in process improvement initiatives.

This instructor-led, live training in Belgrade (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 Belgrade (available online or onsite) is designed for data analysts and professionals 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.
• Inform business operations with data-driven decision-making.

This instructor-led live training in Belgrade (online or onsite) targets 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:

• 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 Belgrade (online or onsite) targets advanced-level 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 driving change initiatives and fostering a culture of continuous improvement.

This instructor-led, live training in Belgrade (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.

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

• Acquire knowledge that extends beyond the basic principles taught in the White Belt course.
• Master the DMAIC process and gain proficiency with advanced Six Sigma tools.
• Understand how to effectively contribute to a Six Sigma project team and collaborate successfully 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 within the R environment, eliminating the need for JavaScript expertise or complex web frameworks.

This instructor-led live training, available either online or on-site, is designed for intermediate R users who aim to develop and deploy custom web applications leveraging Shiny for data visualization, user interaction, and reporting purposes.

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

• Developing interactive web applications using Shiny and R.
• Designing user interfaces featuring reactive components and dynamic inputs.
• Integrating data visualizations and reporting capabilities into Shiny applications.
• Deploying and distributing Shiny applications locally or online via Shiny Server or Posit Cloud.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• 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 Belgrade (online or onsite) is designed for beginner-level professionals who want to gain a basic understanding of 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 Belgrade (online or onsite) is designed for scientists who want to learn and apply Design of Experiments (DoE) to understand the cause-and-effect relationships among multiple factors.

Upon completing this training, participants will be able to:

• Recognize the benefits of using designed experiments compared to other methods.
• Identify cause-and-effect relationships and interactions between factors.
• Gain knowledge of best practices and guidelines for conducting successful experiments.

This instructor-led, live training in Belgrade (online or on-site) is designed for 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 Belgrade (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 recognized, open-source platform designed for statistical computing, data analysis, and visualization. This course provides students with an introduction to the R programming language, covering fundamental syntax, essential libraries, and advanced techniques. Participants will learn to perform sophisticated data analytics and create graphs using real-world datasets.

Target Audience

Developers and data analytics professionals

Duration

3 days

Course Format

Lecture-based instruction combined with hands-on practice

Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to 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

Understanding how to analyze financial data in Excel empowers financial analysts and accountants with advanced methodologies for automating intricate calculations and generating reports. The course encompasses the fundamental principles of financial functions, INDEX-MATCH lookups, database queries, PivotTables, PivotCharts, and the integration of external data. It also delves into the application of Goal Seek, Solver, Analysis ToolPak, and VBA macros to streamline recurring workflows. This training enables professionals to convert raw data into actionable financial insights and precise forecasts, thereby supporting strategic decision-making.

This instructor-led, live training in Belgrade (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 datasets. Initially developed by Google, these Big Data solutions have evolved and inspired other similar projects, many of which are available as open-source. R is a widely used programming language in the financial sector.

This instructor-led, live training in Belgrade (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 held in Belgrade (available online or onsite) is aimed at data scientists who want to utilize Python and R to extend KNIME's functionality.

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.

This program offers a thorough overview of Minitab, a robust statistical software tool utilized for data analysis and quality enhancement. Participants will acquire skills in importing, modifying, and analyzing data, as well as creating fundamental visual representations. Upon completion, attendees will be capable of conducting essential statistical procedures using Minitab, including hypothesis testing and calculating confidence intervals.

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 Belgrade (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 addresses fundamental statistical methods and metrics essential for data professionals. The course explores graphing and summarizing data distributions, grasping normal distribution patterns, and computing key analytical measures such as the mean, median, mode, standard deviation, and variance. It provides participants with the necessary foundations to manage real-world datasets and generate evidence-based outcomes. This course is ideal for individuals aiming to establish a robust quantitative base for data science and analytics.

This instructor-led live training (online or onsite) targets data analysts who wish to utilize Stata and R for analyzing big data through statistical methods.

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

• Build statistical models for predicting key variables and events.
• Generate descriptive visualizations, summary tables, frequencies, and other outputs.
• Manage and structure large databases in preparation for data analysis.

Upon completing this training, participants will gain the ability to:

This live, instructor-led training in Belgrade (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 Belgrade (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 build web applications, eliminating the need to learn cross-browser HTML, JavaScript, and CSS.

Objective:

It explores the fundamental workings of Shiny applications.

It encompasses all the commonly utilized input, output, rendering, and paneling functions provided by the Shiny library.

This live, instructor-led training conducted in Belgrade (online or on-site) is designed for intermediate-level data analysts and business professionals who want 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.