Whether delivered online or onsite, our instructor-led Statistics training courses use interactive discussion and hands-on practice to show you how to apply Statistical principles to resolve real-world issues.
Statistics training is offered as either "online live training" or "onsite live training". Online live training, also known as "remote live training", is conducted through an interactive remote desktop. Onsite live training can take place locally at your premises in Copenhagen or within NobleProg’s corporate training centers in Copenhagen.
You can also take bus 26 or 7A and get off around Vesterbros Torv; from there it is a short walk.
By bus
Useful nearby stops include:
Vesterbros Torv (Vesterbrogade) — about 1 minute from the area.
Frederiksberg Allé (Vesterbrogade) — nearby.
Trommesalen (Vesterbrogade) — nearby.
Bus 26 and 7A serve the Vesterbrogade corridor.
København, Copenhagen
NobleProg København, Bredgade 37, København K, denmark, 1260
Near Amalienborg Palace & Royal Theatre.
If you arrive by train
If you arrive at Copenhagen Central Station (København H):
Walk to København H Metro.
Take the M3 or M4 metro toward Kongens Nytorv.
Get off at Kongens Nytorv.
Walk north toward Nyhavn, then continue along Bredgade.
Bredgade 37 is about 500 m / 6 minutes' walk from Kongens Nytorv.
Another easy option
Marmorkirken (Marble Church) Metro Station is also very close to Bredgade 37. The nearby Bredgade area is about 2 minutes' walk from Marmorkirken station.
By bus
There are bus stops around Dronningens Tværgade / Bredgade, so you can also travel by bus and walk the final few minutes.
This live, instructor-led training in Copenhagen (delivered online or on-site) targets intermediate-level engineers and designers seeking to ensure quality is embedded in products or processes from the design stage.
Upon completion, participants will be equipped to:
Grasp the core principles and concepts of Design Six Sigma (DFSS).
Master the DMAIC (Define, Measure, Analyze, Improve, Control) and DMADV (Define, Measure, Analyze, Design, Verify) methodologies.
Utilize DFSS tools and techniques to design and optimize processes.
Build the capabilities needed to manage and lead DFSS projects with confidence.
This instructor-led live training, conducted in Copenhagen (either online or on-site), is tailored for advanced professionals aiming to acquire an in-depth understanding of the Six Sigma DMAIC methodology at the Black Belt level.
By the end of the training, participants will be able to:
Develop a thorough understanding of the Define, Measure, Analyze, Improve, and Control phases, focusing on complex projects.
Gain proficiency in advanced statistical analysis techniques for data-driven decision-making.
Lead large-scale Six Sigma initiatives and manage project teams effectively.
Implement substantial process improvements that support organizational goals and strategies.
This live, instructor-led session on Copenhagen delves into the core principles of R Markdown for building dynamic, reproducible reports. It empowers R users to construct documents with embedded code chunks, render outputs to HTML, PDF, and Word, and apply advanced features like parameterized reports, custom themes, and LaTeX styling to achieve professional, automated documentation.
This instructor-led, live course in Copenhagen, delivered either online or on-site, is designed for intermediate professionals aiming to master the DMAIC methodology and excel in their role as Six Sigma Green Belts.
By the end of this program, participants will be able to:
Acquire a solid command of the Define, Measure, Analyze, Improve, and Control phases within Six Sigma.
Apply a diverse set of Six Sigma tools and techniques proficiently across all DMAIC stages.
Conduct and interpret statistical analyses to support process improvements.
Plan, carry out, and manage Six Sigma initiatives.
This instructor-led, live training in Copenhagen (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 Copenhagen (offered online or onsite) targets entry-level professionals aiming to refine and analyze data, produce statistical predictions, and craft compelling visualizations with the mentioned tools.
Once this training concludes, participants will possess the ability to:
Acquire a solid understanding of Python, R, Power Query, and Power BI for data analysis.
Refine and organize datasets using Python and Power Query.
Execute statistical analysis and projections with R.
Develop high-quality dashboards and reports with Power BI.
Efficiently merge and analyze data from diverse sources.
This instructor-led, live training in Copenhagen (available online or onsite) is designed for entry-level professionals aiming to deepen their comprehension of Six Sigma methodologies and principles, while mastering the DMAIC process.
By the conclusion of this program, attendees will be capable of:
Acquiring insights that transcend the basic principles outlined in the White Belt course.
Achieving proficiency in the DMAIC process and utilizing advanced Six Sigma tools.
Contributing effectively to Six Sigma teams through collaboration with Green and Black Belts.
Applying Six Sigma techniques to optimize real-world business processes.
This instructor-led Shiny training in Copenhagen equips intermediate R users with the skills to build interactive web apps without requiring JavaScript. Learn to design reactive UIs, integrate advanced data visualizations, and manage application deployment. Acquire practical skills for efficiently creating dynamic dashboards and reports.
This instructor-led, live training offered in Copenhagen (either online or onsite) is designed for beginner-level professionals aiming to build a solid understanding of the Six Sigma methodology and its underlying principles.
By the conclusion of this training, participants will be capable of:
Comprehending the basics of Six Sigma and acquiring knowledge of the DMAIC process.
Understanding the distinct roles and responsibilities of a White Belt within a Six Sigma project context.
Applying Six Sigma principles to identify areas for enhancement and support Six Sigma projects within an organization.
This instructor-led, live training in Copenhagen (delivered online or on-site) is intended for scientists aiming to utilize Design of Experiments (DoE) to uncover the cause-and-effect dynamics among multiple factors.
By the conclusion of this training, participants will be capable of:
Recognizing the distinct advantages of designed experiments over other methods.
Analyzing the cause-and-effect relationships and interactions between various factors.
Adopting best practices and guidelines to conduct effective experimentation.
This live, instructor-led training in Copenhagen (online or onsite) is tailored for those aiming to acquire and refine their skills in the fundamentals of econometric analysis and modeling.
By the conclusion of the program, participants will be able to:
This instructor-led, live training in Copenhagen (online or onsite) is tailored for intermediate to advanced computer science professionals looking to leverage Stata for statistical analysis and integrate it with R.
By the conclusion of this training, participants will have the capability to:
Effectively employ Stata for data analysis and statistical modeling.
Contrast the functionalities of Stata with those of SPSS and R.
Integrate Stata with R to enable smooth statistical computing.
Develop and automate workflows using a combination of Stata and R.
This hands-on course in Copenhagen explores the fundamentals of R, along with data preparation and visualization techniques using packages such as ggplot2. Over the course of three days, participants will examine statistical modeling, regression, and machine learning methods like clustering and classification, applying these skills to real-world datasets.
This hands-on programme in Copenhagen establishes essential data analytics competencies using Excel, VBA, and R. Attendees will acquire skills in data handling, visualization, and machine learning to predict trends, refine operations, and drive informed business decisions.
Gain proficiency in advanced Excel techniques for financial analysis, such as INDEX-MATCH, PivotTables, VBA, and Solver, delivered in Copenhagen. Develop expertise in Goal Seek, database queries, and external data integration to automate processes and convert raw data into actionable insights and forecasts.
This instructor-led live training in Copenhagen (online or onsite) targets intermediate-level advanced R users aiming to build faster workflows, enhance code quality, and handle complex analysis tasks using R.
Upon completion, participants will be able to: create reusable functions, optimize data workflows, debug and enhance code performance, and generate reproducible reports.
Discover the core principles of handling Big Data with R, a tool highly valued in finance. This course in Copenhagen guides you through environment configuration, MPI for parallel computing, and the management of distributed matrices. You will gain the ability to process large datasets, execute distributed regression analyses, and apply Monte Carlo methods with enhanced efficiency.
This instructor-led, live training in Copenhagen (delivered online or onsite) targets entry-level data analysts looking to utilize R programming for data manipulation, basic analysis, and the creation of compelling visual insights.
By the conclusion of this training, participants will be equipped to:
This live, instructor-led program, delivered Copenhagen (either online or onsite), is designed for data scientists seeking to integrate Python and R capabilities into KNIME workflows.
Upon completion, participants will be equipped to:
Design, construct, and deploy machine learning models within KNIME.
Drive operational decisions through data-driven insights.
Execute comprehensive, end-to-end data science projects.
Build statistical proficiency using Minitab in Copenhagen by mastering core techniques such as descriptive statistics, regression methods, and control charts. This course supports the application of hypothesis testing, ANOVA, and experimental design to identify actionable insights within complex datasets.
This instructor-led, live training in Copenhagen (online or onsite) is designed for process department personnel and operations team members who aim to master practical process improvement techniques using Six Sigma principles and BPMN 2.0 modeling.
Statistics Level 1 delivers fundamental statistical methods for data professionals. Held in Copenhagen, this training covers data graphing, normal distributions, and key metrics like the mean and variance, building a strong quantitative base for practical analytics.
This live, instructor-led session—delivered online or onsite—targets data analysts seeking to utilise Stata and R for the statistical analysis of big data.
By the end of the programme, participants will have the capability to:
Construct statistical models for predicting key variables and events.
Create descriptive visualisations, summary tables, and frequency reports.
Manage and structure large-scale databases to prepare for analysis.
This instructor-led, live training in Copenhagen (online or on-site) is designed for advanced data professionals who wish to utilize Tableau for building complex visualizations, optimizing dashboards, and performing advanced data analysis.
By the end of this training, participants will be capable of installing and configuring Tableau for advanced applications, creating sophisticated calculations, designing interactive dashboards, and optimizing system performance.
This course on Copenhagen empowers R users to create web applications with Shiny, eliminating the need for extensive HTML or CSS knowledge. It delves into core concepts, UI customization, advanced reactive capabilities, and data sharing, offering practical insights for developing dynamic, interactive data applications.
This live, instructor-led training in Copenhagen (available online or onsite) is intended for intermediate-level data analysts and business professionals aiming to conduct time series forecasting and automate data analysis workflows using R.
By the conclusion of this training, participants will be able to:
Comprehend the fundamentals of forecasting techniques in R.
Apply exponential smoothing and ARIMA models for time series analysis.
Use the ‘forecast’ package to develop accurate forecasting models.
Automate forecasting workflows for business and research contexts.
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Testimonials (9)
I finally understood the idea of the pipes and how to use R in our work context.
Katrin Groth - Senatsverwaltung fur Bildung, Jugend und Familie
Course - Data Analytics With R
a multitude of points
Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
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knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
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The variation with exercise and showing.
Ida Sjoberg - Swedish National Debt Office
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The focus more on practical concepts, doing different exercises in statistics software.
Florin - Zentiva SA
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Trainer was good. Had a good rapport with him. Was able to ask him anything and was knowledgeable.
Pranay - Lotterywest
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Very practical
Deenan - Vodacom
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I learned new things so that is a good point
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I liked the excercises and how great it was to follow
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