Ismael - Statistics tutor - Montréal
Ismael - Statistics tutor - Montréal

Ismael's profile, diploma and contact details have been verified by our experts

Ismael

  • Rate UGX 107,421
  • Response 2h
  • Students

    Number of students Ismael has accompanied since arriving at Superprof

    23

    Number of students Ismael has accompanied since arriving at Superprof

Ismael - Statistics tutor - Montréal

UGX 107,421/hr

Contact
  • Statistics
  • Algorithms

PhD in Math & Comp Sci Teaching University Statistics, Probability, Regression, and Simulation

  • Statistics
  • Algorithms

Lesson location

Recommended

Ismael is a respected member of our tutor community. He is highly recommended for his commitment and the quality of his lessons. An excellent choice to progress with confidence.

About Ismael

I hold a PhD in Computer Science and Mathematics and tutor undergraduate Probability and Statistics. I cover probability theory, random variables, distributions, expectation, hypothesis testing, regression, and statistical modeling. I also support Monte Carlo simulation, stochastic processes at the undergraduate level, and implementation in R or Python. My background includes research-level simulation and applied data modeling.

Statistics is most powerful when connected to mathematics and computation. I work with students who are simultaneously taking Calculus, Linear Algebra, and Programming, helping them see how theory translates into data analysis and simulation. If you require broader quantitative support across your STEM courses, please review my Mathematics and Programming listings.

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About the lesson

  • Primary
  • Secondary
  • Tertiary
  • +9
  • levels :

    Primary

    Secondary

    Tertiary

    University

    Adult Education

    Masters

    PhD (Doctor of Philosophy)

    Other

    ACCA

    MBA

    Early childhood education

    Post-Graduate

  • French
  • English
  • Spanish

All languages in which the lesson is available :

French

English

Spanish

Statistics requires both mathematical rigor and interpretive clarity. I teach probability and statistical inference by connecting distributions, expectation, and variance to real modeling questions. We work through derivations when needed, but also interpret what results mean in practical contexts.

If your course includes computational components, we integrate R or Python to reinforce theoretical concepts through simulation. I ensure students understand assumptions behind models, not just calculation steps.

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Rates

Rate

  • UGX 107,421

Pack prices

  • 5h: UGX 535
  • 10h: UGX 1070

online

  • UGX 107,421/hr

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