Discover the Best Private Statistics Classes in Canada

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 Canada, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

6 statistics teachers in Canada

0 teachers in my wish list

+–

6 statistics teachers in Canada

(7 reviews)

Hasnaa - Toronto, 08C$46

C$46Study Statistics and Probabilities, Guaranteed Results

Trusted teacher: This statistics and probability course is structured around different sections: - Descriptive statistics - Introduction to probability theory - Parametric estimation - Introduction to hypothesis testing - Binomial law, normal law and limit theorems - Point estimate, χ2 and Student's law - Applications of confidence intervals and statistical tests These courses are aimed at students from business and management schools who have difficulty in the following subjects: - Microeconomics - Macroeconomics - Statistics - Probabilities - Financial analysis - Accounting - Taxation For the preparation of your exams and your projects, I provide courses adapted to your needs and your pace. Ability to move or video

Statistics · Math · Business management

Translate this text using Google Translate.

Benyamin - Toronto, 08C$46

C$46Master Python and AI: From Basics to Large Language Models

Trusted teacher: Unlock the world of Python programming, machine learning, and artificial intelligence with a personalized tutoring experience! Whether you're new to coding or looking to expand your knowledge, this class is designed to help you build strong foundations and confidently tackle advanced AI concepts. With over 10 years of Python programming experience and 5+ years in machine learning and deep learning, I bring a wealth of knowledge and practical insights. My expertise spans key areas like large language models (LLMs), computer vision, and cutting-edge AI technologies. In this class, you’ll learn: Python programming essentials and advanced techniques. Core concepts in machine learning and deep learning. How to apply AI techniques in areas like natural language processing and image analysis. Practical problem-solving with real-world AI applications. My teaching style is hands-on, approachable, and focused on helping you truly understand both the "how" and the "why" of these technologies. Whether you're preparing for a career in AI, working on a project, or simply passionate about learning, this course will help you achieve your goals.

Python · Computer programming · Statistics

Peter - Ottawa, 08C$32

C$32Economic Data Analyst Tutoring High School Math, and High School and University Econ, and Stats

Hey there, I'm Peter. I am an understanding and engaging tutor with a Master’s in Financial Economics and a strong background in high school math, university-level economics, and statistics. Over the years, I’ve helped students from all walks of life—from those just trying to pass a class to those aiming for top scores on various exams, and even professionals looking to upgrade their Excel skills. What I believe sets me apart is helping students truly grasp complex problems using engrossing examples and collaborating with them to help them build confidence. I adjust my style to what you prefer and try to present it in the form that you resonate with, so you just don't survive but thrive!

Math · Economics for students · Statistics

(4 reviews)

Camille - Vancouver, 02C$33

C$33High School Mathematics and Baccalaureate Statistics Courses

Trusted teacher: Student with a degree in political science, public administration and management, having taken advanced courses in statistics, in particular univariate and bivariate descriptive statistics (regression line), but also on probabilities, random variables, estimators and hypothesis tests, as well as as well as linear regression and principal component analysis (PCA), gives lessons to students at secondary level and higher at baccalaureate level. My methodology is based on a reminder of the essential points of the theory seen in class, the establishment of summary sheets, then the realization of exercises with the student to ensure that he understands the material. Teaching for 3 years of help in mathematics and statistics to students of secondary and higher level. Face to face or small group of maximum 3 people. The majority having obtained good results during their exams, they recommended me to their friends and acquaintances.

Math · Statistics

Translate this text using Google Translate.

Dorian - Longueuil, 10C$58

C$58Machine Learning or Python Programming courses (all levels)

Trusted teacher: Machine Learning and Data Science are very advanced fields and, as such, in fashion. They are major tools for any new technology and the school is lagging behind in teaching these skills. In addition, these skills are theoretical as well as practical skills, and the multiple online courses focus on practice, forgetting that companies are not only looking for performers, but also experts in the intelligent use of these tools. Having advanced theoretical training in this field, along with more than 2 years of field experience in information programming associated with machine learning, I propose to teach you this subject, both theory and practice, at the option of courses combining the two aspects of the thing.

Statistics · Computer programming

Translate this text using Google Translate.

Keivan - Montreal, 10C$72

C$72All MATH ENGR MECH Courses (Mechanical Engineering)

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

« Previous«

Showing results 1 - 6 of 61 - 6 of 6

To ensure the quality of our Statistics teachers, we ask our students from Canada to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 11 reviews.

Private lessons of statistics in other countries

Map

Discover the Best Private Statistics Classes in Canada

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 Canada, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

6 statistics teachers in Canada

6 statistics teachers in Canada

Our students from Canada evaluate their Statistics teacher.

To ensure the quality of our Statistics teachers, we ask our students from Canada to review them.Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 11 reviews.

You are here

Private lessons of statistics in other countries

To ensure the quality of our Statistics teachers, we ask our students from Canada to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 11 reviews.