Since July 2026
Instructor since July 2026
Master Statistics,
From 45.88 $ /h
Statistics becomes much easier when you understand why a method is used, what assumptions it requires, and what the result actually means—not simply which formula or software command to apply.
I am a PhD-qualified engineer, university professor, researcher, and multidisciplinary tutor with more than 25 years of experience in quantitative analysis, research, teaching, and professional problem solving. I work with university students, graduate researchers, engineers, professionals, and advanced secondary students.
Lessons are personalized to your goals and may cover:
• Descriptive and inferential statistics
• Probability, random variables, and distributions
• Sampling, confidence intervals, and hypothesis testing
• Correlation and regression analysis
• ANOVA, ANCOVA, and MANOVA
• Nonparametric methods
• Multivariate statistical analysis
• Econometrics and quantitative methods
• Time series and forecasting
• Research statistics and data interpretation
• Mediation and moderation analysis
• Statistical modelling and predictive analysis
I also provide practical guidance with SPSS, R/RStudio, Stata, SAS, and Excel, helping you connect statistical theory to software output and meaningful interpretation.
For research projects, theses, and dissertations, I can support you with research design, selection of appropriate methods, assumptions, statistical analysis, interpretation of results, and clear reporting of findings. My role is to strengthen your understanding and analytical independence; I do not write assessed work or complete examinations on behalf of students.
My teaching approach connects theory, formulas, calculation, software, interpretation, and real-world application step by step. We can work from your syllabus, representative exercises, dataset, statistical output, research question, or professional analytical problem.
My goal is not only to help you obtain an answer, but to help you understand the method, verify the result, interpret it correctly, and become increasingly independent.
I am a PhD-qualified engineer, university professor, researcher, and multidisciplinary tutor with more than 25 years of experience in quantitative analysis, research, teaching, and professional problem solving. I work with university students, graduate researchers, engineers, professionals, and advanced secondary students.
Lessons are personalized to your goals and may cover:
• Descriptive and inferential statistics
• Probability, random variables, and distributions
• Sampling, confidence intervals, and hypothesis testing
• Correlation and regression analysis
• ANOVA, ANCOVA, and MANOVA
• Nonparametric methods
• Multivariate statistical analysis
• Econometrics and quantitative methods
• Time series and forecasting
• Research statistics and data interpretation
• Mediation and moderation analysis
• Statistical modelling and predictive analysis
I also provide practical guidance with SPSS, R/RStudio, Stata, SAS, and Excel, helping you connect statistical theory to software output and meaningful interpretation.
For research projects, theses, and dissertations, I can support you with research design, selection of appropriate methods, assumptions, statistical analysis, interpretation of results, and clear reporting of findings. My role is to strengthen your understanding and analytical independence; I do not write assessed work or complete examinations on behalf of students.
My teaching approach connects theory, formulas, calculation, software, interpretation, and real-world application step by step. We can work from your syllabus, representative exercises, dataset, statistical output, research question, or professional analytical problem.
My goal is not only to help you obtain an answer, but to help you understand the method, verify the result, interpret it correctly, and become increasingly independent.
Extra information
Please send, in advance when possible, your course outline, representative questions, dataset, statistical output, or research objective. For software-based sessions, please have the relevant software installed and your files ready. Research support focuses on methodology, analysis, interpretation, and learning; I do not write assessed work or complete examinations on behalf of students.
Location
At student's location :
- Around Laval, 10, Canada
Online from Canada
About Me
I am a PhD-qualified engineer, university professor, researcher, and multidisciplinary tutor with more than 30 years of experience in teaching, training, mentoring, research, engineering, and technology.
I enjoy helping students move from confusion to genuine understanding. My approach is structured, patient, personalized, and concept-driven: I first identify your goals and the real source of difficulty, then explain the underlying ideas clearly using visual, numerical, and real-world examples before moving to guided practice and independent problem solving.
I work with teenagers, university students, graduate researchers, engineers, professionals, and adult learners. My areas include statistics, probability, research methods, quantitative analysis, data science, mathematics, physics, chemistry, programming, engineering, CAD/BIM/3D modelling, GIS, and project management.
I do not simply provide formulas, software commands, or final answers. My goal is to help you understand why a method works, when to use it, how to verify the result, and how to apply the same reasoning confidently to new problems.
Whether you are strengthening your foundations, preparing for an exam, analyzing data, conducting research, learning technical software, or solving an advanced engineering problem, I adapt each lesson to your level, objectives, and pace. I value serious learning, curiosity, open communication, and a respectful environment where questions are always welcome.
I enjoy helping students move from confusion to genuine understanding. My approach is structured, patient, personalized, and concept-driven: I first identify your goals and the real source of difficulty, then explain the underlying ideas clearly using visual, numerical, and real-world examples before moving to guided practice and independent problem solving.
I work with teenagers, university students, graduate researchers, engineers, professionals, and adult learners. My areas include statistics, probability, research methods, quantitative analysis, data science, mathematics, physics, chemistry, programming, engineering, CAD/BIM/3D modelling, GIS, and project management.
I do not simply provide formulas, software commands, or final answers. My goal is to help you understand why a method works, when to use it, how to verify the result, and how to apply the same reasoning confidently to new problems.
Whether you are strengthening your foundations, preparing for an exam, analyzing data, conducting research, learning technical software, or solving an advanced engineering problem, I adapt each lesson to your level, objectives, and pace. I value serious learning, curiosity, open communication, and a respectful environment where questions are always welcome.
Education
PhD in Management Information Systems (Knowledge Management) — Jinan University, 2008. Rank: Excellent. Doctoral research focused on knowledge representation, organizational memory, ontology development, reasoning, and educational knowledge management.
Master of Business Administration (MBA), Management Information Systems / Business Intelligence — Jinan University, 2004. Rank: Very Good. Graduate research focused on data mining for business applications, including clustering, decision trees, and neural networks.
Bachelor of Applied Science in Mechanical Engineering, Engineering Management Option — University of Ottawa, Canada, 1990. Graduated Magna Cum Laude.
My multidisciplinary education connects engineering and scientific problem solving with quantitative analysis, research, data, information systems, technology, and management.
Master of Business Administration (MBA), Management Information Systems / Business Intelligence — Jinan University, 2004. Rank: Very Good. Graduate research focused on data mining for business applications, including clustering, decision trees, and neural networks.
Bachelor of Applied Science in Mechanical Engineering, Engineering Management Option — University of Ottawa, Canada, 1990. Graduated Magna Cum Laude.
My multidisciplinary education connects engineering and scientific problem solving with quantitative analysis, research, data, information systems, technology, and management.
Experience / Qualifications
More than 30 years of university teaching, professional training, mentoring, research, engineering, and consulting experience. Former Associate Professor, Dean of a Faculty of Business Administration, Vice President for Scientific Research and Higher Studies, and Vice President for Development and Technology.
Extensive undergraduate and graduate teaching experience in statistics, advanced quantitative methods, research methodology, data mining, business intelligence, mathematics, operations research, project management, construction management, database systems, management information systems, and related analytical disciplines.
Strong practical experience in statistical and data-analysis tools including SPSS, Stata, SAS, Excel, Python, and related analytical workflows; programming and information technologies; and engineering/design tools including AutoCAD, Revit, BIM workflows, 3D modelling, Primavera, MS Project, ArcGIS, and other technical software.
Professional engineering experience includes engineering analysis and design, project planning and control, CAD-based technical work, GIS and spatial analysis, infrastructure-related studies, engineering software development, and multidisciplinary project consulting.
Experienced in supporting university students, graduate researchers, engineers, professionals, and adult learners with theoretical understanding, problem solving, research design, quantitative analysis, interpretation of results, software workflows, technical projects, and independent skill development.
Extensive undergraduate and graduate teaching experience in statistics, advanced quantitative methods, research methodology, data mining, business intelligence, mathematics, operations research, project management, construction management, database systems, management information systems, and related analytical disciplines.
Strong practical experience in statistical and data-analysis tools including SPSS, Stata, SAS, Excel, Python, and related analytical workflows; programming and information technologies; and engineering/design tools including AutoCAD, Revit, BIM workflows, 3D modelling, Primavera, MS Project, ArcGIS, and other technical software.
Professional engineering experience includes engineering analysis and design, project planning and control, CAD-based technical work, GIS and spatial analysis, infrastructure-related studies, engineering software development, and multidisciplinary project consulting.
Experienced in supporting university students, graduate researchers, engineers, professionals, and adult learners with theoretical understanding, problem solving, research design, quantitative analysis, interpretation of results, software workflows, technical projects, and independent skill development.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
French
Arabic
Availability of a typical week
(GMT -04:00)
New York
Online via webcam
At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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