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Discover the Best Private Statistics Classes in États

For over a decade, our private Statistics tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in États, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

27 statistics teachers in États

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27 statistics teachers in États

Trusted teacher: I am a chemical engineer, specialized in Finance, Financial Mathematics, Applied Statistics and Computerized Statistics with the Minitab, SPSS, R-Studio, Megastat Excel systems. •I have more than 15 years of professional experience in the field of private tutoring in basic engineering and administration sciences for high school, pre-university and university students. • My statistics tutorials are aimed at university students, professionals and the general public. • I have abundant teaching materials and resources to provide my students with in order to improve their learning through practice. • I provide personalized assistance for the development of tasks. • Preparation to succeed in all types of exams, lessons and workshops. • Statistical analysis of databases for theses, companies, etc. is performed. ● Topics: ● Descriptive statistics ▪ Preparation of frequency distribution tables for qualitative and quantitative data, both grouped by intervals and ungrouped. ▪ Graphical representation of frequency distribution tables using bars, columns, histograms, ogives, frequency polygons, pie charts, etc. ▪ Measures of central tendency: Mode, mean and median for interval-grouped and ungrouped data ▪ Measures of dispersion: Standard deviation, variance, coefficient of variation, etc. ▪ Location measures: Quartiles, quintiles, deciles, percentiles in interval and ungrouped data ● Probability theory: Probability rules for exclusive and non-exclusive events, independent and dependent events ● Counting principles: Permutations and combinations. ● Bayes' theorem. ● Discrete and continuous probability distributions: Binomial, hypergeometric, geometric, Poisson, uniform, normal, exponential distribution, etc. ● Inferential statistics. ▪ Central limit theorem. ▪ Sampling distribution of means ▪ Development of confidence intervals for the mean, variance and population proportions. ▪ One-, two-, and multiple-sample hypothesis testing for population mean, variance, and proportions. ▪ P-value in hypothesis testing. ▪ Analysis of variance (ANOVA) ▪ Chi square distribution. ▪ Simple and multiple regression analysis: Scatter plots, hypothesis testing for correlation coefficient and slope, determining the validity of the regression model. ▪ Various normality tests: Kolmogorov-Smirnov, Shapiro-Wilk, Anderson-Darling, etc. ▪ Wilcoxon sign test. ▪ Calculation of the Kruskall Wallis H and much more on statistical inference. ● Simulation and sampling statistics: Simple random sampling, stratified sampling, etc. ● Six Sigma quality control statistics: Potential capacity of a process, actual capacity of the process, calculation of the sigma level, ideal standard deviation for six sigma quality. ● Control limit charts by range and by attributes, etc. And much more. •••Classes in person and virtual via zoom
Statistics
Trusted teacher: (English follows) Hi! I'm a full-time data scientist with a master's degree in statistics, and my mission is simple: to finally make math and statistics understandable for you. I know math can seem abstract and useless. But in my day-to-day work, I use these concepts to solve real problems—and I can show you how those formulas you learn make sense in real life. Why choose me? ✅ I make it concrete: I explain to you what math is really used for with real-world examples (sports, video games, social networks, etc.). ✅ Patience guaranteed: I taught at the University of Montreal and tutored for 5 years—I know how to adapt to your pace. ✅ No judgment: You can ask any question, even if you think it's "stupid" (it never is!). ✅ Proven results: My students improve their grades AND their self-confidence! What I can help you master: SECONDARY (all levels): Algebra and equations Functions (polynomial, exponential, logarithmic) Geometry and trigonometry Probability and statistics Preparation for ministerial exams (CST, TS, SN) Catch-up and upgrading CEGEP: Differential calculus (MAT 103, NYA) Integral calculus (MAT 203, NYB) Linear Algebra and Vector Geometry (MAT 105, NYC) Statistics (201-301, 201-DUA) Quantitative methods And any other mathematics courses in natural sciences, humanities, and technology. How I work with you: 📝 Before the session: You send me what you don't understand (homework, lecture notes, past exams). 🎯 During the session: We identify exactly WHERE the blockage occurs. I explain using simple words and visual examples. You practice while I guide you. We'll check that you can do it again on your own. ✅ After the session: I can share with you a summary of the concepts covered and practice exercises with solutions. I offer support via message for small questions between classes. My approach: no shortcuts, real foundations I'm not just giving you the answers or "tricks" to pass the exam. I'm making sure you truly understand the concepts, because that's how you'll become independent and improve your grades sustainably. Flexibility and accessibility: Online or in-person sessions on the north shore of Montreal. Flexible schedule: weekday evenings and weekends. Affordable price if you are in high school or Cégep (I want to help, not bankrupt you!). I am a mathematics and statistics professional who has: A master's degree in statistics From university teaching experience. 5 years of experience in tutoring. The ability to simplify complex concepts. --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Finally UNDERSTAND Math Instead of Just Memorizing It Hey! I'm a full-time data scientist with a Master's in Statistics, and my mission is simple: make math and statistics actually make sense to you. I know math can seem abstract and useless. But in my daily work as a data scientist, I use these concepts to solve real problems—and I can show you how those formulas you're learning actually matter in real life. Why choose my tutoring? ✅ I make it concrete: I explain what math is really used for with real-world examples (sports, video games, social media, etc.). ✅ Patience guaranteed: I taught at Université de Montréal and tutored for 5 years—I know how to adapt to your pace. ✅ No judgment: You can ask any question, even if you think it's "stupid" (it never is!). ✅ Proven results: My students improve their grades AND their confidence. What I can help you master: HIGH SCHOOL (all levels): Algebra and equations Functions (polynomial, exponential, logarithmic) Geometry and trigonometry Probability and statistics Exam preparation Catch-up and leveling CEGEP: Differential calculus (MAT 103, NYA) Integral calculus (MAT 203, NYB) Linear algebra and vector geometry (MAT 105, NYC) Statistics (201-301, 201-DUA) Quantitative methods Other mathematical courses for any program! How I work with you: 📝 Before the session: You send me what you don't understand (homework, course notes, past exams) 🎯 During the session: We identify exactly WHERE you're stuck. I explain using simple words and visual examples. You practice while I guide you. We verify you can do it on your own. ✅ After the session: I can send you a summary of concepts covered and practice exercises with solutions. I also offer message support for quick questions between sessions My approach: no shortcuts, real foundations I don't just give you answers or "tricks" to pass the exam. I make sure you truly understand the concepts, because that's how you'll become independent and improve your grades long-term. Flexibility and accessibility: Online sessions or in-person in the Montreal area. Flexible schedule: weekend evenings and weekends. Affordable rates for high school/CEGEP students (I want to help, not break your budget!). Why trust me? I'm a math professional who has: A Master's degree in Statistics. University teaching experience. 5 years of tutoring experience. The ability to simplify complex concepts.
Math · Statistics
Math · Algebra · Statistics
Statistics · Computer science
Dr. Keivan is a McGill University graduate with the following degrees: Master of Mechanical Engineering (McGill) Bachelor of Mechanical Engineering (McGill) Doctor of Medicine M.D (Iran) Dr. Keivan has more than 15 years’ experience in teaching many MATH, ENGR, and MECH courses for University students. He has been teaching assistant for many courses at Concordia University and McGill University in Montreal, with excellent course evaluation by students. The most featured courses are undergraduate and graduate mechanical engineering courses, and probability and statistics. Both in person and online classes are offered. For more information, you can contact Dr. Keivan at (514)4762075 Concordia Courses: COMM 215: Business Statistics COMP 233: Probability & Statistics ECON 325: Mathematics for Economists I ECON 326: Mathematics for Economists II ELEC 275: Principles of Electrical Engineering ENGR 213: Applied Ordinary Differential Equations ENGR 233: Applied Advanced Calculus ENGR 242: Statics ENGR 243: Dynamics ENGR 244: Mechanics of Material ENGR 251: Thermodynamics I ENGR 264: Signals and Systems I ENGR 273: Basic Circuit Analysis ENGR 301: Management Principals and Economics ENGR 311: Calculus and Partial Differential Equations ENGR 351: Thermodynamics II ENGR 361: Fluid Mechanics I ENGR 371: Probability and Statistics ENGR 391: Numerical Methods INDU 371: Random Processes INTE 296: Discover Statistics MATH 201: Elementary Functions MATH 202: College Algebra MATH 203: Differential and Integral Calculus I MATH 204: Vectors and Matrices MATH 205: Differential and Integral Calculus II MATH 206: Algebra and Functions MATH 208: Fundamental Mathematics I MATH 209: Fundamental Mathematics II MATH 251: Linear Algebra I MATH 252: Linear Algebra II MATH 264: Advanced Calculus I MATH 265: Advanced Calculus II MECH 211: Mechanical Engineering Drawing MECH 215: Programming for Mechanical and Industrial MECH 221: Material Science MECH 313: Machine Drawing and Design MECH 361: Fluid Mechanics II MECH 368: Electronics for Mechanical Engineers MECH 370: Modeling and Analysis of Dynamic Systems MECH 371: Fundamentals of Control Systems MECH 375: Mechanical Vibrations MECH 6121: Aerodynamics PHYS 204: Mechanics PHYS 205: Electricity and Magnetism PHYS 206: Waves and Optics PSYC 315: Statistical Analysis I PSYC 316: Statistical Analysis II SOCI 212: Statistics I SOCI 213: Statistics II STAT 249: Probability I STAT 250: Statistics STAT 360: Linear Models McGill Courses: CIVE 205: Statics CIVE 206: Dynamics CIVE 207: Solid Mechanics CIVE 290: Thermodynamics and Heat Transfer CIVE 302: Probabilistic Systems CIVE 320: Numerical Methods CIVE 327: Fluid Mechanics and Hydraulics ECON 208: Microeconomics Analysis and Applications ECON 227: Economic Statistics MATH 112: Fundamentals of Mathematics MATH 122: Calculus for Management MATH 123: Linear Algebra and Probability MATH 133: Linear Algebra and Geometry MATH 139: Calculus I with Pre-calculus MATH 140: Calculus I MATH 141: Calculus II MATH 150: Calculus A MATH 203: Principles of Statistics I MATH 204: Principles of Statistics II MATH 222: Calculus III MATH 223: Linear Algebra MATH 262: Intermediate Calculus MATH 263: Ordinary Differential Equations for Engineers MATH 270: Applied Linear Algebra MATH 271: Linear Algebra and Partial Differential Equations MATH 315: Ordinary Differential Equations MATH 316: Complex Variables MATH 323: Probability MATH 324: Statistics MATH 329: Theory of Interest MECH 210 Mechanics I MECH 220 Mechanics II MECH 240 Thermodynamics I MECH 289 Design Graphics MECH 290: Design Graphic for Mechanical Engineers MECH 309: Numerical Methods in Mechanical Engineering MECH 314: Dynamics of Mechanisms MECH 315: Mechanics III MECH 361: Fluid Mechanics I MECH 341: Thermodynamics II MECH 346: Heat Transfer MECH 383: Applied Electronics and Instrumentation MECH 393: Machine Element Design MECH 412: System Dynamics and Control MECH 419: Advanced Mechanics of Systems MECH 430: Fluid Mechanics II MECH 513: Control Systems MECH 533: Subsonic Aerodynamics MECH 542: Spacecraft Dynamics MECH 562: Advanced Fluid Mechanics MECH 605: Applied Math I MECH 642: Advanced Dynamics MGCR 271: Business Statistics MGSC 372: Advanced Business Statistics PHYS 101: Introductory Physics – Mechanics PHYS 102: Introductory Physics – Electromagnetism PHYS 131: Mechanics and Waves PHYS 142: Electromagnetism and Optics PSYC 204: Introduction to Psychological Statistics PSYC 305: Statistics for Experimental Design
Mechanical engineering · Math · Statistics
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Our students from États evaluate their Statistics teacher.

To ensure the quality of our Statistics teachers, we ask our students from États to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 37 reviews.

Mathematics, Physics, Chemistry and Programming courses (Bogotá)
Sebastián
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Sebastian's been a solid precalc tutor. He's patient and breaks down stuff in a way that makes sense, which is a big win for me because precalc used to be a total headache. He's always got my back, making sure I'm getting it, and he doesn't mind repeating stuff if I need it. Thanks to him, precalc's starting to feel less like a foreign language and more like something I can actually handle. If you're struggling with precalc like I was, Sebastian's your guy.
Review by USER
Math Tutor: Differential, Integral & Multivariable Calculus – 15 Years Experience (São José dos Campos)
Lina
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She did a great lesson with my daughter. Hoping to use her for additional tutoring sessions. Update: Lina has been tutoring my daughter for many months. Lina is wonderful. My daughter used to get frustrated with math, but Lina has helped her excel in math! We hope Lina continues to be available for lessons!
Review by MARGARITA
Study Statistics and Probabilities, Guaranteed Results (Toronto)
Hasnaa
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Amazing teacher, patient, professional, and extremely good at explaining mathmatical concepts. She has a strong understanding of both the American and French approach to mathematics instruction which make her an incredible resource for anyone moving between educational systems.
Review by SUZANNE
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