Online or onsite, instructor-led live Statistics training courses demonstrate through interactive discussion and hands-on practice how to apply Statistic principles to the solving of real-world problems.
Statistics training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Toronto onsite live Statistics trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
West Toronto - Etobicoke
10 Four Seasons Place, Toronto, Canada, M9B 6H7
Etobicoke is a prestigious area located on the western fringe of Toronto, and is the cushion between Toronto and Mississauga. Easily accessible by public transportation (bus) and is 5 minutes from the local subway station.
Toronto - Toronto Street
36 Toronto Street, Toronto, Canada, M5C 2C5
Steps away from Toronto's prestigious financial core. Fast link to Pearson International Airport - less than 30 minutes away.
This instructor-led, live training in Toronto (online or onsite) is aimed at intermediate-level engineers and designers who wish to use DFSS to ensure that quality is built into the product or process from the start 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 Toronto (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 training in Toronto covers R Markdown fundamentals for dynamic, reproducible reports. It equips R users to create code-chunk documents, render outputs to HTML, PDF, and Word, and apply parameterized reports, themes, and LaTeX styling for professional, automated documentation.
This instructor-led, live training in Toronto (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.
This instructor-led, live training in Toronto (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 Toronto (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 Toronto (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.
This instructor-led Shiny training in Toronto empowers intermediate R users to build interactive web apps without JavaScript. Learn to design reactive UIs, integrate data visualizations, and deploy applications. Gain hands-on skills for creating dynamic dashboards and reports efficiently.
This instructor-led, live training in Toronto (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 Toronto (online or onsite) is aimed at scientists who wish to learn and use the Design of Experiments (DoE) to understand the cause-and-effect relationship 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 Toronto (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.
This instructor-led, live training in Toronto (online or onsite) is aimed at intermediate-level to advanced-level computer science professionals 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 Toronto covers R fundamentals, data preparation, and visualization using packages like ggplot2. Over three days, participants explore statistical modeling, regression, and machine learning techniques such as clustering and classification with real-world data.
This practical course in Toronto builds foundational data analytics skills using Excel, VBA, and R. Participants will learn data manipulation, visualization, and machine learning techniques to forecast trends, optimize processes, and make evidence-based business decisions.
This instructor-led, live training in Toronto (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.
Explore the fundamentals of programming with Big Data in R, a language popular in finance. This course in Toronto covers environment setup, MPI for parallel processing, and distributed matrices. Learn to handle large datasets, perform distributed regression, and apply Monte Carlo methods efficiently.
This instructor-led, live training in Toronto (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:
Develop statistical confidence using Minitab in Toronto by exploring core techniques like descriptive statistics, regression methods, and control charts. This course helps you deploy hypothesis testing, ANOVA, and experimental design to find actionable signals in complex datasets.
This instructor-led, live training in Toronto (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 provides core statistical techniques for data professionals. This training in Toronto covers graphing data, normal distributions, and key measures like mean and variance. It builds a strong quantitative foundation for real-world analytics work.
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 statistic models for predicting key interest variables and events.
Generate descriptive visualizations, summary tables, frequencies, and more.
Manage and structure large databases to preapare for data analysis.
This instructor-led, live training in Toronto (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 Toronto teaches R users to build web applications using Shiny without needing deep HTML or CSS skills. It covers core concepts, UI customization, advanced reactive features, and data sharing, providing practical guidance for creating dynamic, interactive data applications.
This instructor-led, live training in Toronto (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.
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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
The great atmosphere
Keivan Diakite - Sigedis
Course - Tableau Advanced
Machine Translated
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
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 liked the excercises and how great it was to follow
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