Whether online or onsite, our instructor-led live Statistics courses provide an immersive experience that blends interactive discussion with hands-on practice. This approach demonstrates how to effectively apply statistical principles to solve real-world problems.
Statistics training is offered in two formats: "online live training" and "onsite live training." Online live training (also known as "remote live training") is facilitated through an interactive remote desktop connection. Alternatively, onsite live training can be conducted directly at your customer premises in Prague or within NobleProg’s corporate training centers in Prague.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
This instructor-led, live training in Prague (online or on-site) targets intermediate-level engineers and designers who aim to use DFSS to embed quality into the product or process from the initial 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 Prague (online or onsite) is designed for senior professionals aiming 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 grasp 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.
This instructor-led training in Prague explores the fundamentals of R Markdown for creating dynamic and reproducible reports. It empowers R users to build documents with code chunks, render outputs to HTML, PDF, and Word, and utilize parameterized reports, themes, and LaTeX styling to achieve professional, automated documentation.
This instructor-led, live training in Prague (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 deep understanding 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.
Conduct and interpret statistical analyses to drive process improvement.
This instructor-led, live training in Prague (online or on-site) is designed for beginner-level professionals seeking a fundamental understanding of Six Sigma and Lean principles to integrate them 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 Prague (online or onsite) targets intermediate-level professionals who aim to grasp both Six Sigma and Lean principles to lead substantial process improvement initiatives in their companies.
By the end of this training, participants will be able to:
Develop a thorough understanding of how Lean and Six Sigma methodologies can be integrated for process improvement.
Acquire in-depth knowledge and application skills in the Define, Measure, Analyze, Improve, and Control phases.
Utilize advanced statistical tools for data-driven decision-making and process analysis.
Effectively lead and manage Lean Six Sigma projects.
This instructor-led live training in Prague (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.
Derive insights through data visualization with Tableau.
Make data-driven decisions to enhance business operations.
This instructor-led, live training in Prague (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 Prague (online or onsite) is aimed at advanced-level professionals who wish to gain the skills to handle complex Six Sigma projects and take a leadership role in Six Sigma and Lean implementations.
By the end of this training, participants will be able to:
Develop an in-depth understanding of advanced Six Sigma and Lean methodologies and tools.
Lead complex process improvement projects that align with organizational strategies.
Perform complex statistical analyses and make data-driven decisions.
Effectively lead change initiatives and build a culture of continuous improvement.
This instructor-led, live training in Prague (online or onsite) targets beginner-level professionals who wish to deepen their understanding of Six Sigma methodology and principles, as well as master the DMAIC process.
Upon completion of this training, participants will be able to:
Expand their knowledge beyond the basic principles introduced in the White Belt course.
Master the DMAIC process and gain proficiency with advanced Six Sigma tools.
Effectively contribute to Six Sigma project teams and collaborate with Green and Black Belts.
Apply Six Sigma methodologies to real-world business processes to drive improvement.
This instructor-led Shiny training in Prague enables intermediate R users to construct interactive web applications without relying on JavaScript. Participants will learn to design reactive user interfaces, integrate sophisticated data visualizations, and deploy robust applications. Develop practical skills for efficiently building dynamic dashboards and reports.
This instructor-led, live training in Prague (online or onsite) is designed for beginner-level professionals who want to gain a basic understanding of the Six Sigma methodology and its principles.
By the conclusion of this training, participants will be able to:
Understand the fundamentals 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 Prague (online or onsite) is designed for scientists who wish to learn and utilize Design of Experiments (DoE) to understand the cause-and-effect relationships between multiple factors.
Upon completing this training, participants will be able to:
Recognize the benefits of using designed experiments compared to other methodologies.
Interpret the cause-and-effect relationships and interactions between different factors.
Acquire best practices and guidelines for executing successful experimental studies.
This instructor-led, live training in Prague (online or onsite) is intended for anyone who wishes to learn and master the fundamentals of econometric analysis and modeling.
Upon completion of this training, participants will be able to:
Learn and understand the core principles of econometrics.
This instructor-led, live training in Prague (online or onsite) is designed for computer science professionals at intermediate to advanced levels 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.
This hands-on course in Prague focuses on mastering R fundamentals, data preparation, and visualization utilizing packages such as ggplot2. Over the course of three days, participants will delve into statistical modeling, regression, and machine learning techniques, including clustering and classification, applied to real-world data.
In this hands-on session covering Prague, participants will establish core data analytics competencies using Excel, VBA, and R. The curriculum emphasizes data manipulation, visualization, and machine learning methodologies to enable accurate trend forecasting, process optimization, and the creation of evidence-driven business strategies.
Gain proficiency in advanced Excel techniques for financial analysis, including INDEX-MATCH, PivotTables, VBA, and Solver, delivered in Prague. Develop skills in using Goal Seek, database queries, and external data integration to streamline workflows, enabling the transformation of raw data into actionable insights and accurate forecasts.
This instructor-led, live training in Prague (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.
Discover the core principles of handling Big Data using R, a language highly regarded in the finance industry. This module in Prague guides you through environment configuration, leveraging MPI for parallel computing, and working with distributed matrices. You will gain the skills to manage large-scale datasets, execute distributed regression analyses, and implement Monte Carlo methods with greater efficiency.
This instructor-led, live training in Prague (online or onsite) targets beginner-level data analysts who wish to utilize R programming for data manipulation, basic data analysis, and creating compelling visualizations to extract insights.
By the end of this training, participants will be able to:
Build statistical proficiency using Minitab in Prague by delving into fundamental techniques such as descriptive statistics, regression methods, and control charts. This course enables you to implement hypothesis testing, ANOVA, and experimental design to identify actionable signals within complex datasets.
This instructor-led, live training in Prague (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 delivers fundamental statistical techniques tailored for data professionals. This training, conducted in Prague, focuses on data visualization, normal distributions, and key metrics including mean and variance. It serves to build a strong quantitative foundation for practical analytics tasks.
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.
This instructor-led live training in Prague (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.
This course in Prague guides R developers through building web applications with Shiny, eliminating the need for advanced HTML or CSS expertise. It addresses core principles, UI personalization, sophisticated reactive capabilities, and data distribution, offering practical insights for crafting dynamic, interactive data-driven applications.
This instructor-led, live training in Prague (online or onsite) targets intermediate-level data analysts and business professionals aiming to conduct time series forecasting and automate data analysis workflows using R.
Upon completion of this training, participants will be able to:
Grasp the fundamentals of forecasting techniques in R.
Apply exponential smoothing and ARIMA models for time series analysis.
Leverage the 'forecast' package to develop accurate forecasting models.
Automate forecasting workflows for business and research applications.
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Testimonials (10)
trainer knowledge
SUNEEL jee - House of Spices India
Course - Six Sigma LEAN Yellow Belt
a multitude of points
Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
The variation with exercise and showing.
Ida Sjoberg - Swedish National Debt Office
Course - Econometrics: Eviews and Risk Simulator
The focus more on practical concepts, doing different exercises in statistics software.
Florin - Zentiva SA
Course - Statistics Level 1
The real life applications using Statcan and CER as examples.
Matthew - Natural Resources Canada
Course - Data Analytics With R
Trainer was good. Had a good rapport with him. Was able to ask him anything and was knowledgeable.
Pranay - Lotterywest
Course - Building Web Applications in R with Shiny
Very practical
Deenan - Vodacom
Course - Data and Analytics - from the ground up
I learned new things so that is a good point
Daria - LKQ Polska Sp. z o. o.
Course - Analysing Financial Data in Excel
I liked the excercises and how great it was to follow
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