Statistics Training in Oslo

This instructor-led, live training in Oslo (online or onsite) targets intermediate-level engineers and designers who wish to apply DFSS to ensure quality is embedded in 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 Oslo (online or onsite) is intended for advanced-level professionals aiming to develop 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 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 Oslo (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 in Oslo (online or onsite) is designed for beginner-level professionals seeking a fundamental understanding of Six Sigma and Lean principles to integrate and enhance business processes.

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

• Gain a comprehensive understanding of Lean Six Sigma principles.
• Apply Six Sigma methodologies to improve process quality by eliminating defect causes and reducing variability.
• Combine 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 Oslo (online or onsite) targets intermediate-level professionals seeking to understand both Six Sigma and Lean principles 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 Oslo (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:

• Perform data analysis using Python, R, and SQL.
• Create insights through data visualization with Tableau.
• Make data-driven decisions for business operations.

This guided, live training in Oslo (available online or at your location) targets professionals at the beginner level who want to learn how to clean and analyze data, forecast statistical trends, and generate meaningful visual representations using these tools.

Upon completing this training, attendees will be capable of:

• Gaining foundational knowledge of Python, R, Power Query, and Power BI for data analysis.
• Cleaning and organizing datasets using Python and Power Query.
• Executing statistical analysis and forecasting with R.
• Developing professional dashboards and reports using Power BI.
• Effectively integrating and analyzing data from various sources.

This instructor-led, live training in Oslo (online or on-site) is aimed at advanced 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 Oslo (online or onsite) is aimed at beginner-level professionals who wish to have a deeper understanding of the Six Sigma methodology and its principles and 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 allows 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 online or onsite) is designed for intermediate-level R users who want to build and deploy custom web applications using Shiny for data visualization, user interaction, and reporting purposes.

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

• Develop interactive web applications leveraging Shiny and R.
• Construct user interfaces featuring reactive elements and dynamic inputs.
• Integrate data visualization tools and reporting capabilities into Shiny applications.
• Deploy and share Shiny apps either 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 request a customized training session for this course, please contact us to arrange details.

This instructor-led, live training in Oslo (online or on-site) is designed for beginner-level professionals seeking a fundamental understanding of the Six Sigma methodology and its underlying principles.

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

• Understand the core concepts 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 Oslo (online or onsite) is designed for scientists who wish to learn and apply Design of Experiments (DoE) to understand the cause-and-effect relationships 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 Oslo (online or onsite) is aimed at 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 Oslo (online or onsite) is designed for intermediate to advanced computer science professionals aiming to leverage Stata for statistical analysis and integrate it with R.

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

• Utilizing Stata effectively for data analysis and statistical modeling.
• Comparing Stata’s functionalities with those of SPSS and R.
• Integrating Stata with R to enable seamless statistical computing.
• Developing and automating workflows using both Stata and R.

R is a widely used, open-source environment designed for statistical computing, data analytics, and graphics. This course provides an introduction to the R programming language, covering essential language fundamentals, libraries, and advanced concepts. Participants will explore advanced data analytics and graphing techniques using real-world datasets.

Target Audience

Developers and data analytics professionals

Duration

3 days

Format

Interactive lectures combined with hands-on exercises

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

Analyzing Financial Data in Excel empowers financial analysts and accountants with advanced methodologies for automating complex computations and reporting processes. The course covers fundamental principles of financial functions, INDEX-MATCH lookups, database queries, PivotTables, PivotCharts, and external data integration. Participants delve into Goal Seek, Solver, Analysis ToolPak, and VBA macros to automate repetitive workflows. This training helps professionals convert raw data into actionable financial insights and precise forecasts to support strategic planning.

This instructor-led, live training in Oslo (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 encompasses solutions designed for the storage and processing of vast datasets. Originally pioneered by Google, these Big Data frameworks have evolved and inspired numerous similar open-source projects. R has established itself as a preferred programming language within the financial sector.

This instructor-led, live training in Oslo (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 course is intended for individuals who already possess a background in data science and statistics. The explanations provided are designed to either serve as a refresher for those familiar with the concepts or inform those with a suitable background.

This instructor-led live training in Oslo (online or onsite) is targeted at data scientists who wish to utilize 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-recognized tool for quality assurance and analytical decision-making. This course covers fundamental techniques in descriptive statistics, distribution modeling, regression analysis, experimental design, and control charts for monitoring processes. It prepares professionals to implement confidence intervals, hypothesis testing, and analysis of variance workflows to uncover actionable insights within complex datasets.

This instructor-led, live training in Oslo (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. The course explores graphing and summarizing data distributions, understanding normal distribution patterns, and computing key analytical measures such as mean, median, mode, standard deviation, and variance. Participants will gain the foundational skills necessary to manage real-world datasets and generate evidence-based insights. This course is ideal for individuals looking to establish a robust quantitative base for data science and analytics.

This instructor-led live training, offered online or onsite, targets data analysts looking to utilize Stata and R for big data statistical analysis.

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

• Develop statistical models to predict key variables and events.
• Create descriptive visualizations, summary tables, frequency distributions, and more.
• Manage and structure large databases to prepare for data analysis.

Upon completing this training, participants will be able to:

This instructor-led, live training in Oslo (online or onsite) is designed for data scientists who wish to program in R for use with 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 Oslo (online or onsite) targets 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 for R users who wish to build web applications without the need to master cross-browser HTML, JavaScript, or CSS.

Objective:

Explains the fundamental workings of Shiny applications.

Covers the full range of commonly utilized input, output, rendering, and paneling functions available in the Shiny library.

This instructor-led live training in Oslo (online or onsite) is intended for intermediate-level data analysts and business professionals seeking to perform 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 create accurate forecasting models.
• Automate forecasting workflows for business and research applications.