Statistics Training in Lyon

This instructor-led live training in Lyon (online or onsite) targets intermediate engineers and designers who want to use DFSS to ensure quality is integrated into the product or process from the outset of the design phase.

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

• Grasping the core principles and concepts of Design for Six Sigma (DFSS).
• Mastering the DMAIC (Define, Measure, Analyze, Improve, Control) and DMADV (Define, Measure, Analyze, Design, Verify) methodologies.
• Applying DFSS tools and techniques to design and optimize processes.
• Cultivating the skills necessary to effectively manage and lead DFSS projects.

This instructor-led live training in Lyon (online or onsite) is aimed at advanced-level professionals who wish to gain an in-depth understanding of the Six Sigma DMAIC methodology at a 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.

This instructor-led, live training in Lyon (online or onsite) targets intermediate-level professionals aiming to develop 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 thorough knowledge 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.
• Perform and interpret statistical analyses for process improvement.
• Plan, execute, and manage a Six Sigma project.

This instructor-led, live training in Lyon (online or onsite) is designed for beginner-level professionals who wish to gain a fundamental understanding of Six Sigma and Lean principles to integrate them and improve 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 Lyon (online or onsite) targets intermediate-level professionals who wish 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 Lyon (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 Lyon (online or onsite) targets advanced professionals seeking to acquire the skills necessary to manage complex Six Sigma projects and assume leadership roles in Six Sigma and Lean initiatives.

Upon completing this training, participants will be capable of:

• Gaining a thorough understanding of advanced Six Sigma and Lean methodologies and tools.
• Leading complex process improvement projects that align with organizational strategies.
• Conducting complex statistical analyses to support data-driven decision-making.
• Effectively driving change initiatives and fostering a culture of continuous improvement.

This instructor-led, live training in Lyon (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.

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.

This instructor-led, live training in Lyon (offered online or onsite) is designed for beginner-level professionals who wish to gain 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 Lyon (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.

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

• Understand the advantages of designed experiments compared to 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 Lyon (online or onsite) is designed for individuals seeking to learn and master the fundamentals of econometric analysis and modeling.

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts of econometrics.
• Apply Eviews and risk simulators in practice.

R is a widely used, open-source environment for statistical computing, data analytics, and graphics. This course introduces participants to the R programming language, covering language fundamentals, libraries, and advanced concepts, along with practical advanced data analytics and graphing using real-world data.

Audience

Developers / Data Analysts

Duration

3 days

Format

Lectures and Hands-on Practice

Target Audience

This course is designed for analysts, researchers, scientists, graduates, students, and anyone interested in mastering statistical analysis within Microsoft Excel.

Course Objectives

Participants will enhance their proficiency in both Excel and statistical concepts, thereby increasing the effectiveness and efficiency of their professional work or academic research.

The curriculum covers the utilization of Excel's Analysis ToolPak, statistical functions, and fundamental statistical procedures. It also addresses Excel's inherent limitations and provides strategies to overcome them.

In today's business landscape, data analytics serves as a vital asset. This course prioritizes the development of practical, hands-on skills for data analysis. The primary objective is to equip participants with the ability to provide evidence-based responses to key 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

Unstructured data is estimated to comprise more than 90 percent of all data, with a significant portion existing in text format. This vast repository expands continuously through sources such as blog posts, tweets, social media platforms, and other digital publications.

This instructor-led, live course focuses on extracting meaningful insights from this data. By leveraging the R language and Natural Language Processing (NLP) libraries, we integrate principles from computer science, artificial intelligence, and computational linguistics to algorithmically decipher the meaning behind text data. Data samples are provided in various languages to align with customer requirements.

Upon completion of this training, participants will be equipped to prepare datasets—both large and small—from diverse sources, and then apply appropriate algorithms to analyze and report on their significance.

Course Format

• A blend of lectures and discussions, with extensive hands-on practice and occasional assessments to evaluate understanding

Target Audience

Financial and market analysts, managers, and accountants

Course Objectives

Streamline and automate various types of financial analysis using Microsoft Excel

This instructor-led, live training in Lyon (online or onsite) is aimed at data analysts who wish to program in R for Excel.

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

• Toggle and move data between Excel and R.
• Use R Tidyverse and R features for data analytic solutions in Excel.
• Extend their data analytical skills by learning R.

R has established itself as a leading programming language within the financial sector. Its applications span from core trading platforms to sophisticated risk management systems.

Through this instructor-led live training, participants will acquire the skills necessary to leverage R for developing practical applications that address specific finance-related challenges.

Upon completing this training, participants will be capable of:

• Grasping the fundamental concepts of the R programming language
• Choosing and employing R packages and methodologies to organize, visualize, and analyze financial data sourced from diverse channels (such as CSV, Excel, databases, and web APIs)
• Constructing applications that resolve issues related to asset allocation, risk analysis, investment performance, and more
• Effectively troubleshooting, integrating, deploying, and optimizing R applications

Audience

• Developers
• Analysts
• Quantitative Analysts (Quants)

Format of the course

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

• While this training addresses key problems encountered by finance professionals, participants with specific topics, tools, or techniques they wish to explore in greater depth are encouraged to contact us for customization.

Designed for HR professionals seeking to leverage analytical methods to enhance organisational performance, this instructor-led training (available online or onsite) explores both qualitative and quantitative, empirical, and statistical approaches.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.

Customization Options

• To request a tailored training session for this course, please contact us to make arrangements.

This instructor-led, live training in Lyon (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 achieve mastery in independently using SPSS for advanced applications, including the utilization of dialog boxes and command language syntax for selected analytical techniques.

Target Audience:

Analysts, researchers, scientists, students, and anyone seeking to acquire advanced proficiency in the SPSS package and learn selected statistical models. The training addresses universal analytical challenges and is tailored to specific industry contexts.

This instructor-led live training in Lyon (online or onsite) is designed for business analysts aiming to automate trading via algorithmic methods, 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 trade-related costs through algorithmic trading.
• Automatically monitor stock prices and execute trades.

Target Audience:

This course is designed for IT professionals seeking robust solutions for storing and processing large-scale datasets within a distributed system environment.

Objective:

To provide in-depth knowledge and expertise in Hadoop cluster administration.

This instructor-led, live training in Lyon (online or onsite) is designed for intermediate-level data scientists and statisticians who aim to effectively prepare data, build models, and apply machine learning techniques within their respective fields.

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

• Comprehend and implement a variety of Machine Learning algorithms.
• Prepare data and models for machine learning applications.
• Perform post hoc analyses and visualize results effectively.
• Apply machine learning techniques to real-world, sector-specific scenarios.

Big Data refers to solutions designed for storing and processing large datasets. Originally 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 popular programming language in the financial industry.

This instructor-led, live training in Lyon (online or onsite) is designed for 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.

R is an open-source, free programming language designed for statistical computing, data analysis, and graphics. A growing number of managers and data analysts within corporations and academic institutions utilize R. It has also gained popularity among statisticians, engineers, and scientists who lack computer programming skills but find R easy to use. Its widespread adoption is driven by the increasing use of data mining for various objectives, such as setting optimal prices, discovering new drugs more quickly, or refining financial models. R offers a vast array of packages dedicated to data mining.

This instructor-led, live training in Lyon (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 instructor-led, live training in Lyon (online or onsite) targets beginner-level professionals aiming to master R fundamentals and effectively work with data.

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

• Navigate the R programming environment and the RStudio interface.
• Import, manipulate, and explore datasets using R commands and packages.
• Conduct basic statistical analysis and summarize data.
• Create visualizations using both base R and ggplot2.
• Efficiently manage workspaces, scripts, and packages.

R is an open-source, free programming language dedicated to statistical computing, data analysis, and graphical visualization. It is increasingly adopted by managers and data analysts within both corporate environments and academic institutions. R offers a vast array of packages tailored for data mining tasks.

This course targets individuals with existing knowledge in data science and statistics. The explanations provided aim to refresh the memory of those already familiar with the concepts while informing those with a relevant background.

This instructor-led live training in Lyon (online or onsite) is designed for data scientists who wish to program in Python and R for KNIME.

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

• Plan, build, and deploy machine learning models within KNIME.
• Make data-driven decisions for operations.
• Implement end-to-end data science projects.

Audience

Designed for analysts and forecasters aiming to implement or enhance forecasting techniques applicable to sales, economics, technology, supply chain management, and demand or supply forecasting.

Description

This course leads participants through a range of methodologies, frameworks, and algorithms essential for making predictions based on historical data.

It employs standard tools such as Microsoft Excel and open-source programs, particularly the R project.

The principles taught in this course are versatile and can be applied using various software packages (e.g., SAS, SPSS, Statistica, MINITAB, and others).

This course is designed for individuals interested in statistical analysis. It provides familiarity with Minitab and will increase the effectiveness and efficiency of your data analysis and improve your knowledge of statistics.

R is an open-source, freely available programming language designed for statistical computing, data analysis, and visualization. It is increasingly adopted by managers and data analysts within both corporate and academic sectors. R offers a comprehensive suite of packages tailored for data mining.

In this instructor-led live training, participants will master advanced Machine Learning techniques using R by building a real-world application step-by-step.

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

• Comprehend and implement unsupervised learning methods
• Utilize clustering and classification to generate predictions from real-world datasets
• Visualize data to rapidly derive insights, support decision-making, and refine analytical processes
• Enhance machine learning model performance through hyper-parameter tuning
• Deploy models into production environments for integration into broader applications
• Apply sophisticated machine learning techniques to analyze social network data, big data, and other complex queries

R is an open-source, free programming language designed for statistical computing, data analysis, and graphical visualization. It is increasingly utilized by managers and data analysts within both corporate and academic sectors. R has also attracted users among statisticians, engineers, and scientists who may lack traditional coding expertise, owing to its user-friendly nature. Its growing popularity stems from the expanding role of data mining in diverse objectives, such as optimizing pricing strategies, accelerating drug discovery, or refining financial models. R supports this utility through a broad ecosystem of specialized packages for data mining.

This instructor-led, live training in Lyon (online or onsite) is aimed at professionals who wish to use R to perform statistical testing and data analysis.

By the end of this training, participants will be able to install and configure R, perform statistical tests, interpret results, and apply analysis to real-world datasets.

This instructor-led live training in Lyon (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 in Lyon (online or onsite) is designed for beginner to intermediate-level professionals who aim to perform statistical analysis using SPSS. Participants will learn to interpret data accurately, execute complex statistical tests, and derive meaningful insights.

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

• Navigate the SPSS interface and manage datasets efficiently.
• Conduct descriptive and inferential statistical analyses.
• Perform t-tests, ANOVA, MANOVA, regression, and correlation analyses.
• Apply non-parametric tests, principal component analysis, and factor analysis for advanced data interpretation.

This instructor-led, live training (online or onsite) targets analysts, researchers, and professionals at beginner to intermediate levels who want to leverage SPSS for data preparation, statistical analysis, and predictive modeling.

This course is designed for decision-makers who do not primarily aim to perform calculations or analyses themselves, but rather to comprehend them and select appropriate statistical methods for an organization's strategic planning.

For instance, a prospective participant might need to determine the required sample size before deciding whether to launch a product.

If you are looking for a more extensive course covering the fundamentals of statistical thinking, please review our 5-day 'Statistics for Managers' training.

This course is designed for individuals who need to develop foundational statistical skills. It can be customized to align with specific professional domains such as market research, biology, manufacturing, public sector analysis, and others.

This advanced training course explores the core tools frequently applied in research, data analysis, and forecasting. It offers concise overviews of the theoretical foundations underpinning these formulas.

While the curriculum is not tied to any specific discipline, it can be customized to align with the shared background and objectives of the participants.

The course utilizes basic computer software, particularly Excel and OpenOffice, for practical exercises.

This course is designed to equip researchers with a solid grasp of the core principles underlying statistical design and analysis, highlighting their critical application across diverse scientific fields.

The curriculum explores key probability and statistical methods, primarily illustrated through practical examples. The training structure consists of approximately 30% lecture-based instruction and 70% hands-on guided quizzes and laboratory exercises.

For closed-group sessions, we can customize the examples and materials to align with specific domains, such as psychology assessments, public sector analytics, biology, genetics, and more.

Public course participants will engage with a diverse mix of examples reflecting various disciplines.

While the course utilizes various software tools ranging from Microsoft Excel to SPSS and Statgraphics, the primary emphasis remains on comprehending the underlying principles and logical processes that guide research, reasoning, and conclusion-drawing.

This program can also be offered as a blended learning experience, incorporating homework and assignments to reinforce learning.

This instructor-led, live training in Lyon (online or onsite) is designed for 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 instructor-led, live training in Lyon (online or onsite) is designed for intermediate-level data professionals who want to use Tableau to create advanced visualizations and dashboards for data-driven decision-making.

By the end of this training, participants will be able to: build advanced charts, utilize calculated fields and parameters, design interactive dashboards, and effectively share insights.

Target Audience

Course Format

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

In this instructor-led, live session, attendees will gain the skills to manipulate and visualize data using the comprehensive suite of tools within the Tidyverse.

The Tidyverse comprises a collection of powerful R packages designed for data cleaning, processing, modeling, and visualization. Key components include ggplot2, dplyr, tidyr, readr, purrr, and tibble.

• Individuals new to the R programming language
• Those beginning their journey in data analysis and data visualization

• A blend of lectures, discussions, exercises, and extensive hands-on practice

• Execute data analysis and generate visually compelling plots
• Derive meaningful insights from diverse sample datasets
• Filter, sort, and summarize data to address exploratory questions
• Convert processed data into informative line plots, bar charts, and histograms
• Import and filter data from various sources, including Excel, CSV, and SPSS files

This instructor-led live training in Lyon (online or onsite) is designed for intermediate-level data analysts and business professionals who wish 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 within R.
• Apply ARIMA models and exponential smoothing methods for time series analysis.
• Utilize the 'forecast' package to develop accurate forecasting models.
• Automate forecasting workflows for both business and research purposes.

Audience

• managers
• developers
• scientists
• students

Format of the course

on-line instruction and discussion OR face-to-face workshops

R is a free, open-source programming language designed for statistical computing, data analysis, and graphical visualization. It is increasingly adopted by managers and data analysts within both corporate environments and academic institutions. R has also gained popularity among statisticians, engineers, and scientists who may lack formal programming expertise but appreciate its user-friendly nature. The language's rise in prominence is driven by the growing demand for data mining techniques applied to diverse objectives, such as optimizing pricing strategies, accelerating drug discovery, and refining financial models. R offers an extensive collection of packages tailored for data mining tasks.

This course explores the manipulation of R objects, covering essential skills such as reading data, accessing R packages, creating R functions, and generating insightful graphs. Participants will learn to analyze data using standard statistical models. The curriculum includes hands-on experience with the R software (https://www.r-project.org), utilizing both the command-line interface and a graphical user interface (GUI).