Statistics Training in Muntenia

This instructor-led, live training in Muntenia (online or on-site) is designed for intermediate-level engineers and designers who want to leverage DFSS to embed quality 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 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 Muntenia (online or onsite) targets advanced professionals aiming to gain a deep 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 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 want to create 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 Muntenia (online or onsite) targets intermediate-level professionals who wish 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:

• 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 Muntenia (available online or onsite) is designed for beginner-level professionals seeking a foundational understanding of Six Sigma and Lean principles to integrate and enhance 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 Muntenia (online or onsite) is designed for intermediate-level professionals who want to understand both Six Sigma and Lean principles to lead significant 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 Muntenia (online or on-site) is targeted at 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.
• Support business operations with data-driven decision-making.

This instructor-led, live training in Muntenia (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 Muntenia (online or onsite) is designed for advanced professionals aiming to develop the capabilities to manage complex Six Sigma projects and lead Six Sigma and Lean implementations.

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

• Gain a profound understanding of advanced Six Sigma and Lean methodologies and tools.
• Direct complex process improvement projects that align with organizational strategies.
• Conduct complex statistical analyses to make informed, data-driven decisions.
• Lead change initiatives effectively and cultivate a culture of continuous improvement.

This instructor-led, live training in Muntenia (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.

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 R, eliminating the need for JavaScript expertise or familiarity with complex web frameworks.

This instructor-led live training, available online or onsite, is designed for intermediate R users who aim to create and deploy custom web applications using Shiny for data visualization, user engagement, and reporting purposes.

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

• Build interactive web applications leveraging Shiny and R.
• Design user interfaces featuring reactive elements and dynamic inputs.
• Integrate data visualizations and reporting capabilities into Shiny applications.
• Deploy and distribute Shiny apps 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-lab 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 Muntenia (online or onsite) is aimed at beginner-level professionals who wish to have 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 Muntenia (online or onsite) is designed for scientists who want to learn and apply Design of Experiments (DoE) to grasp the cause-and-effect relationships among various factors.

Upon completing this training, participants will be able to:

• Appreciate the advantages of designed experiments compared to other methods.
• Identify cause-and-effect relationships and interactions between factors.
• Master best practices and guidelines for conducting successful experiments.

This instructor-led, live training in Muntenia (online or onsite) is designed for anyone looking to learn and master the core principles of econometric analysis and modeling.

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts of econometrics.
• Effectively utilize Eviews and risk simulators.

This instructor-led live training in Muntenia (online or on-site) is designed for computer science professionals at the intermediate to advanced levels who wish to leverage Stata for statistical analysis and integrate it with R.

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

• Utilize Stata effectively for data analysis and statistical modeling.
• Compare the functionalities of Stata with those of SPSS and R.
• Seamlessly integrate Stata with R for enhanced statistical computing.
• Create and automate workflows using both Stata and R.

R is a widely utilized, open-source environment designed for statistical computing, data analytics, and data visualization. This course provides an introduction to the R programming language for students, covering foundational language concepts, essential libraries, and advanced techniques, including the application of sophisticated data analytics and graphing methods on real-world datasets.

Audience

Developers / data analysts

Duration

3 days

Format

Lectures and Hands-on

Target Audience

This course is designed for analysts, researchers, scientists, graduates, students, and anyone eager to learn how to streamline statistical analysis using Microsoft Excel.

Course Objectives

By completing this course, participants will deepen their understanding of Excel and statistical concepts, thereby enhancing the efficiency and effectiveness of their professional work or research.

The curriculum covers the utilization of Excel’s Analysis ToolPak, the application of statistical functions, and the execution of fundamental statistical procedures. Additionally, it addresses common limitations within Excel and provides strategies to circumvent them.

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

It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data.

This instructor-led, live course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements.

By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance.

Format of the Course

• Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding

This course empowers financial analysts and accountants with advanced Excel techniques for automating intricate calculations and reports. It covers fundamental 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 streamline recurring workflows. The training enables professionals to convert raw data into actionable financial insights and precise forecasts for strategic planning.

R is a widely used programming language within the financial sector. Its applications range from core trading systems to sophisticated risk management tools.

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

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

• Grasp the core principles of the R programming language
• Choose and apply R packages and methodologies to organize, visualize, and analyze financial data sourced from various platforms (such as CSV, Excel, databases, and web APIs)
• Develop applications capable of solving issues related to asset allocation, risk analysis, investment performance, 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 to key problems encountered by finance professionals. Should you wish to explore a specific topic, tool, or technique in greater detail, please contact us to make arrangements.

This instructor-led, live training in Muntenia (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.

Objective:

To gain proficiency in independently utilizing SPSS for advanced applications, including navigating dialog boxes and employing command language syntax for specific analytical techniques.

Target Audience:

Analysts, researchers, scientists, students, and anyone seeking to acquire advanced SPSS proficiency and master selected statistical models. The training addresses universal analytical challenges and is tailored to specific industry needs.

This instructor-led live training in Muntenia (online or onsite) is designed for business analysts who wish to automate trading using algorithmic strategies, Python, and R.

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

• Use algorithms to rapidly buy and sell securities at specialized intervals.
• Reduce costs associated with trading through algorithmic trading.
• Automatically monitor stock prices and execute trades.

Big Data refers to solutions designed for storing and processing large datasets. Initially developed by Google, these Big Data solutions have evolved and inspired similar projects, many of which are open-source. R is a popular programming language in the financial industry.

This instructor-led live training in Muntenia (online or onsite) is designed for beginner-level data analysts who wish to use R programming to manipulate data, perform basic 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 in Muntenia (online or onsite) is aimed at data analysts who wish 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 Muntenia (online or onsite) is designed for data scientists looking to program with Python and R in 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.

This course offers a thorough introduction to Minitab, a robust statistical software tool utilized for data analysis and quality enhancement. Participants will gain the skills to import, process, and analyze data, as well as create fundamental graphical representations. Upon completion, participants will be capable of using Minitab to conduct basic statistical analyses, including hypothesis testing and the calculation of 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.

In this instructor-led, live training, participants will learn advanced techniques for Machine Learning with R as they step through the creation of a real-world application.

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

• Understand and implement unsupervised learning techniques
• Apply clustering and classification to make predictions based on real world data.
• Visualize data to quickly gain insights, make decisions and further refine analysis.
• Improve the performance of a machine learning model using hyper-parameter tuning.
• Put a model into production for use in a larger application.
• Apply advanced machine learning techniques to answer questions involving social network data, big data, and more.

R is a free, open-source programming language designed for statistical computing, data analysis, and graphical visualization. Its user base is expanding among corporate managers, data analysts, academic researchers, as well as statisticians, engineers, and scientists who may lack advanced programming expertise, thanks to its user-friendly nature. The tool's widespread adoption stems from the growing demand for data mining across various sectors, including setting competitive prices, accelerating drug discovery, and optimizing financial models. R offers a comprehensive ecosystem of packages tailored for data mining and analysis.

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

Through this instructor-led live training, participants will discover how to merge data science and web development using Shiny, R, and HTML.

Upon completing this training, participants will be capable of:

• Developing interactive web applications in R using 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 Muntenia (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 (online or onsite) targets beginner to intermediate-level analysts, researchers, and professionals looking to leverage SPSS for data preparation, statistical analysis, and predictive modeling.

Designed specifically for decision-makers who do not perform calculations or analyses themselves but need to comprehend them, this course enables leaders to select the appropriate statistical methods for their organization's strategic planning.

For instance, participants learn how to determine the necessary sample size required before deciding whether to launch a product.

If you require a more comprehensive program covering the fundamental concepts of statistical thinking, we recommend our 5-day 'Statistics for Managers' training.

Statistics Level 1 focuses on essential statistical methods and metrics for data professionals. It explores the techniques for visualizing and summarizing data distributions, comprehending normal distribution patterns, and computing fundamental analytical measures such as mean, median, mode, standard deviation, and variance. This course empowers participants with the necessary foundations to manage real-world datasets and generate evidence-based outcomes. It is perfectly suited for individuals seeking to establish a robust quantitative groundwork for careers in data science and analytics.

This program is designed to equip researchers with a comprehensive understanding of the fundamental principles of statistical design and analysis, highlighting their critical application across diverse scientific fields.

The curriculum introduces key probabilistic and statistical methodologies, primarily illustrated through practical examples. The training structure consists of approximately 30% instructional lectures and 70% guided quizzes and laboratory exercises.

For private or closed courses, we can customize the examples and course materials to align with specific disciplines, such as psychology assessments, public sector applications, biology, or genetics.

In public course settings, a mix of general examples is utilized to ensure broad applicability.

While the course utilizes various software tools ranging from Microsoft Excel to SPSS and Statgraphics, the primary emphasis remains on mastering the conceptual frameworks and processes that drive research, logical reasoning, and data interpretation.

This program is also available in a blended format, incorporating homework assignments and practical tasks to reinforce learning.

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.

Upon completion of this training, participants will be equipped with the following skills:

This instructor-led, live training in Muntenia (online or onsite) is designed for data scientists interested in programming 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 Muntenia (online or onsite) is targeted at advanced-level data professionals who want 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 crafted to equip R users with the skills to build web applications, eliminating the need to master cross-browser HTML, JavaScript, and CSS.

Objective:

Explores the fundamental principles behind how Shiny applications function.

Explores all frequently utilized input, output, rendering, and paneling functions within the Shiny library.

This instructor-led live training in Muntenia (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.