Here is a quick recap on all the units covered
in Probability & Statistics
Here is a quick recap on all the units covered
in Probability & Statistics
UNIT
1
UNIT
1
Probability Theory
Probability Theory
Probability Theory
Build a strong foundation in Probability Theory by learning the mathematical principles used to model uncertainty and random events. This summary covers advanced combinatorics, probability axioms, conditional probability, Bayes’ Theorem, and set relationships, providing the essential concepts needed for university probability, statistics, engineering, computer science, and data science courses.
Build a strong foundation in Probability Theory by learning the mathematical principles used to model uncertainty and random events. This summary covers advanced combinatorics, probability axioms, conditional probability, Bayes’ Theorem, and set relationships, providing the essential concepts needed for university probability, statistics, engineering, computer science, and data science courses.
Build a strong foundation in Probability Theory by learning the mathematical principles used to model uncertainty and random events. This summary covers advanced combinatorics, probability axioms, conditional probability, Bayes’ Theorem, and set relationships, providing the essential concepts needed for university probability, statistics, engineering, computer science, and data science courses.
A solid understanding of probability theory forms the basis for nearly every topic in statistics, machine learning, artificial intelligence, finance, and engineering analysis. Practice applying these concepts to a wide range of problems to strengthen your intuition and improve your confidence when solving probability questions under exam conditions.
A solid understanding of probability theory forms the basis for nearly every topic in statistics, machine learning, artificial intelligence, finance, and engineering analysis. Practice applying these concepts to a wide range of problems to strengthen your intuition and improve your confidence when solving probability questions under exam conditions.
A solid understanding of probability theory forms the basis for nearly every topic in statistics, machine learning, artificial intelligence, finance, and engineering analysis. Practice applying these concepts to a wide range of problems to strengthen your intuition and improve your confidence when solving probability questions under exam conditions.
UNIT
3
UNIT
3
Statistical Inference
Statistical Inference
Statistical Inference
Understand how statistical inference allows conclusions to be drawn from sample data using probability theory. This cheat sheet covers the Central Limit Theorem, parameter estimation, confidence intervals, maximum likelihood estimation, and hypothesis testing, giving students the tools needed to analyze data and make statistically sound decisions.
Understand how statistical inference allows conclusions to be drawn from sample data using probability theory. This cheat sheet covers the Central Limit Theorem, parameter estimation, confidence intervals, maximum likelihood estimation, and hypothesis testing, giving students the tools needed to analyze data and make statistically sound decisions.
Understand how statistical inference allows conclusions to be drawn from sample data using probability theory. This cheat sheet covers the Central Limit Theorem, parameter estimation, confidence intervals, maximum likelihood estimation, and hypothesis testing, giving students the tools needed to analyze data and make statistically sound decisions.
Statistical inference connects theoretical probability with practical decision-making by allowing reliable conclusions to be drawn from limited data. Regular practice with estimation techniques and hypothesis testing will improve both analytical reasoning and confidence when interpreting experimental or real-world datasets.
Statistical inference connects theoretical probability with practical decision-making by allowing reliable conclusions to be drawn from limited data. Regular practice with estimation techniques and hypothesis testing will improve both analytical reasoning and confidence when interpreting experimental or real-world datasets.
Statistical inference connects theoretical probability with practical decision-making by allowing reliable conclusions to be drawn from limited data. Regular practice with estimation techniques and hypothesis testing will improve both analytical reasoning and confidence when interpreting experimental or real-world datasets.
UNIT
4
UNIT
4
Applied Modeling & Regression
Applied Modeling & Regression
Applied Modeling & Regression
Apply probability and statistics to real-world data analysis through regression modeling and statistical evaluation techniques. This summary explains least squares regression, correlation analysis, residual diagnostics, model validation, and non-parametric methods, helping students build predictive models and interpret data confidently in engineering, science, and research applications.
Apply probability and statistics to real-world data analysis through regression modeling and statistical evaluation techniques. This summary explains least squares regression, correlation analysis, residual diagnostics, model validation, and non-parametric methods, helping students build predictive models and interpret data confidently in engineering, science, and research applications.
Apply probability and statistics to real-world data analysis through regression modeling and statistical evaluation techniques. This summary explains least squares regression, correlation analysis, residual diagnostics, model validation, and non-parametric methods, helping students build predictive models and interpret data confidently in engineering, science, and research applications.
Applied statistics transforms raw data into meaningful insights that support engineering design, scientific research, and informed decision-making. By mastering regression analysis, model evaluation, and statistical diagnostics, students will be better prepared to analyze complex datasets and solve practical problems across a wide range of disciplines.
Applied statistics transforms raw data into meaningful insights that support engineering design, scientific research, and informed decision-making. By mastering regression analysis, model evaluation, and statistical diagnostics, students will be better prepared to analyze complex datasets and solve practical problems across a wide range of disciplines.
Applied statistics transforms raw data into meaningful insights that support engineering design, scientific research, and informed decision-making. By mastering regression analysis, model evaluation, and statistical diagnostics, students will be better prepared to analyze complex datasets and solve practical problems across a wide range of disciplines.
Meet Our Tutors
Reviews
University Probability and Statistics for Engineers
University Probability and Statistics for Engineers
University Probability and Statistics for Engineers
Transition from basic counting games to rigorous probabilistic modeling and statistical data inference. These 1-on-1 sessions equip you with the distribution functions, parameter estimation tools, and multi-variable regressions required to validate claims and manage data uncertainty.
Transition from basic counting games to rigorous probabilistic modeling and statistical data inference. These 1-on-1 sessions equip you with the distribution functions, parameter estimation tools, and multi-variable regressions required to validate claims and manage data uncertainty.
Transition from basic counting games to rigorous probabilistic modeling and statistical data inference. These 1-on-1 sessions equip you with the distribution functions, parameter estimation tools, and multi-variable regressions required to validate claims and manage data uncertainty.
100% Money-Back Guarantee on your first session.
100% Money-Back Guarantee on your first session.
100% Money-Back Guarantee on your first session.
What We Cover:
What We Cover:
Engineering data is inherently uncertain. You will learn to use mathematical models to quantify chance, estimate system parameters from sparse data, and run hypothesis tests that justify engineering design decisions.
Engineering data is inherently uncertain. You will learn to use mathematical models to quantify chance, estimate system parameters from sparse data, and run hypothesis tests that justify engineering design decisions.
Engineering data is inherently uncertain. You will learn to use mathematical models to quantify chance, estimate system parameters from sparse data, and run hypothesis tests that justify engineering design decisions.
UNIT
2
UNIT
2
Random Variables & Distributions
Random Variables & Distributions
Learn how random variables and probability distributions describe uncertain outcomes and real-world phenomena. This guide reviews discrete and continuous probability distributions, probability mass and density functions, expected value, variance, moment-generating functions, and joint distributions that form the core of university statistics and engineering probability.
Learn how random variables and probability distributions describe uncertain outcomes and real-world phenomena. This guide reviews discrete and continuous probability distributions, probability mass and density functions, expected value, variance, moment-generating functions, and joint distributions that form the core of university statistics and engineering probability.
Learn how random variables and probability distributions describe uncertain outcomes and real-world phenomena. This guide reviews discrete and continuous probability distributions, probability mass and density functions, expected value, variance, moment-generating functions, and joint distributions that form the core of university statistics and engineering probability.
Random variables and probability distributions provide the mathematical framework for modeling uncertainty in engineering, science, economics, and data analysis. Becoming comfortable with selecting the appropriate distribution and interpreting its properties will make more advanced statistical modeling significantly easier.
Random variables and probability distributions provide the mathematical framework for modeling uncertainty in engineering, science, economics, and data analysis. Becoming comfortable with selecting the appropriate distribution and interpreting its properties will make more advanced statistical modeling significantly easier.
Random variables and probability distributions provide the mathematical framework for modeling uncertainty in engineering, science, economics, and data analysis. Becoming comfortable with selecting the appropriate distribution and interpreting its properties will make more advanced statistical modeling significantly easier.
Random Variables & Distributions
Rami Alzaytavi
B.ENG. Software Engineer
Yacoob Kathrada
Bsc. Biomedical
Maya Al Khowjeh
B.Tech. Civil Engineering
Taha Arafat
Msc. Pharmacology
Jawad Qourshah
B.ENG. Mechanical Engineering
Manish Bahat
M.ENG. Mechanical Engineering
Oubada Al Tarabishi
M.ENG. Electrical Engineering
Ahmad Dawood
MSc. Computer Science
Rami Alzaytavi
B.ENG. Software Engineer
Yacoob Kathrada
Bsc. Biomedical
Maya Al Khowjeh
B.Tech. Civil Engineering
Taha Arafat
Msc. Pharmacology
Jawad Qourshah
B.ENG. Mechanical Engineering
Manish Bahat
M.ENG. Mechanical Engineering
Oubada Al Tarabishi
M.ENG. Electrical Engineering
Ahmad Dawood
MSc. Computer Science
Rami Alzaytavi
B.ENG. Software Engineer
Yacoob Kathrada
Bsc. Biomedical
Maya Al Khowjeh
B.Tech. Civil Engineering
Taha Arafat
Msc. Pharmacology
Jawad Qourshah
B.ENG. Mechanical Engineering
Manish Bahat
M.ENG. Mechanical Engineering
Oubada Al Tarabishi
M.ENG. Electrical Engineering
Ahmad Dawood
MSc. Computer Science
Rami Alzaytavi
B.ENG. Software Engineer
Yacoob Kathrada
Bsc. Biomedical
Maya Al Khowjeh
B.Tech. Civil Engineering
Taha Arafat
Msc. Pharmacology
Jawad Qourshah
B.ENG. Mechanical Engineering
Manish Bahat
M.ENG. Mechanical Engineering
Oubada Al Tarabishi
M.ENG. Electrical Engineering
Ahmad Dawood
MSc. Computer Science
Contact us
Get in touch with our experts team
Where Our Students Come From
Coming Soon!
Comprehensive Course Review
Review the major concepts taught throughout your course in one organized resource. The course review breaks challenging topics into smaller, understandable sections and provides clear examples showing how important concepts are applied.
✓ Probability Distributions & Joint Probability
✓ Sampling Distributions & Central Limit Theorem
✓ Point & Interval Estimation
✓ Hypothesis Testing
✓ Linear Regression & Correlation
✓ Analysis of Variance (ANOVA)
✓ Statistical Quality Control
✓ Reliability & Risk Analysis
✓ Core course topics and foundational concepts
✓ Clear explanations supported by worked examples
✓ Common mistakes and strategies for avoiding them
✓ Important skills needed for Probability & Statistics
✓ Practice questions organized by course topic
What the Course
Review Includes
Topics Covered
Coming Soon!
Practice Final Exams
Prepare for tests and final assessments with realistic, course-aligned practice exams. Each exam covers the major topics taught throughout the course, with detailed answer explanations that help students understand concepts, apply their knowledge, and learn from mistakes.
Students can use the practice exams to become familiar with different question formats, review challenging units, improve time management, and determine which concepts require additional preparation.
✓ Full-length practice exams
✓ Course-aligned and exam-style questions
✓ Questions from all major Probability & Statistics topics
✓ Detailed step-by-step solution guides
✓ Focused review of mistakes and weaker areas
Coming Soon!
Identify a student’s current strengths, foundational learning gaps, and course-specific areas of difficulty. The diagnostic assessment evaluates understanding across major course topics and provides students with a clearer starting point for future review or tutoring.
The results can help Fit Minds Academy create a more personalized learning plan focused on the concepts and problem types requiring the most attention.
Diagnostic Assessment
✓ Identify current course strengths
✓ Detect gaps in foundational science knowledge
✓ Recognize challenging topics and question types
✓ Determine which skills require further practice
✓ Receive recommended next steps for improvement
Free Resources
Fit Minds Academy provides personalized 1-on-1 tutoring for high school students pursuing engineering programs and university students tackling challenging engineering courses. Our support covers math, physics, chemistry, calculus, statics, dynamics, thermodynamics, fluid mechanics, strength of materials, and other core engineering subjects.
Courses:
✓ Grade 9 Math
✓ Grade 9 Science
✓ Grade 10 Math
✓ Grade 10 Science
✓ Grade 11 Functions
✓ Grade 11 Physics
✓ Grade 11 Chemistry
✓ Grade 12 Physics
✓ Grade 12 Advanced Functions
✓ Grade 12 Calculus & Vectors
✓ Grade 12 Chemistry
High School Courses
Support for Ontario high school students building the math and science foundation needed for future engineering programs.
Courses:
✓ Calculus 1
✓ Calculus 2
✓ Physics 1
✓ Physics 2
✓ Linear Algebra
✓ Intro to Programming
First-Year Engineering Courses
One-on-One private tutoring for core courses taken by every first years engineering student
Courses:
✓ Strength of Materials
✓ Fluid Mechanics
✓ Thermodynamics
✓ Probability & Statistics
✓ Heat Transfer
Advanced Engineering Courses
Course-specific tutoring for technical courses that require stronger applied problem-solving.
All Courses We Tutor
Why Choose
Fit Minds Academy
Personalized 1-on-1 Tutoring
Every student has different strengths, learning gaps, and academic goals. Each tutoring session is tailored to the student’s course, current level, pace, and areas requiring additional support. Lessons focus on the exact concepts and problem types the student needs to understand.
Carefully Matched Tutors for Every Student
Students are matched with tutors based on their course, academic level, subject requirements, learning needs, and availability. Many of our tutors are engineers or technical professionals who understand both the course material and its practical applications.
Ontario Curriculum and Engineering-Focused Support
Our high school tutoring follows the Ontario curriculum and supports the math and science prerequisites required for engineering, science, and technology programs. We also tutor first-year and upper-year university courses, including calculus, physics, linear algebra, programming, thermodynamics, fluid mechanics, and strength of materials.
More than Homework Help
Our tutoring goes beyond completing assignments or memorizing formulas. Students receive clear explanations, structured practice, and step-by-step problem-solving support designed to strengthen understanding and prepare them for quizzes, tests, exams, university courses, and future engineering studies.
Flexible Hourly Tutoring
$125
Per Hour
Pay-As-You-Go Plan, Billed Biweekly
✓ Sessions from the comfort of your home
✓ Access to Fit Minds Discord server
✓ Personalised sessions to suit you
✓ We teach your course material
✓ Resources (course notes, practice tests, and videos)
10-hour Prepaid Plan
$1100
Per 10 Hours
$110 per hour - Save $150
✓ Sessions from the comfort of your home
✓ Access to Fit Minds Discord server
✓ Personalised sessions to suit you
✓ We teach your course material
✓ Resources (course notes, practice tests, and videos)
Not Sure Which Option Is Right?
Speak with Fit Minds Academy and find the Physics 1 tutoring plan that best matches the student’s current course needs and academic goals.
Pricing
ComprehensiveCourse Review
Review the major concepts taught throughout your course in one organized resource. The course review breaks challenging topics into smaller, understandable sections and provides clear examples showing how important concepts are applied.
✓ Core course topics and foundational concepts
✓ Clear explanations supported by worked examples
✓ Common mistakes and strategies for avoiding them
✓ Important skills needed for Probability & Statistics
✓ Practice questions organized by course topic
What the Course
Review Includes
Topics Covered
Coming Soon!
✓ Probability Distributions & Joint Probability
✓ Sampling Distributions & Central Limit Theorem
✓ Point & Interval Estimation
✓ Hypothesis Testing
✓ Linear Regression & Correlation
✓ Analysis of Variance (ANOVA)
✓ Statistical Quality Control
✓ Reliability & Risk Analysis
Coming Soon!
Practice Final Exams
Prepare for tests and final assessments with realistic, course-aligned practice exams. Each exam covers the major topics taught throughout the course, with detailed answer explanations that help students understand concepts, apply their knowledge, and learn from mistakes.
Students can use the practice exams to become familiar with different question formats, review challenging units, improve time management, and determine which concepts require additional preparation.
✓ Full-length practice exams
✓ Course-aligned and exam-style questions
✓ Questions from all major Probability & Statistics topics
✓ Detailed step-by-step solution guides
✓ Focused review of mistakes and weaker areas
Identify a student’s current strengths, foundational learning gaps, and course-specific areas of difficulty. The diagnostic assessment evaluates understanding across major course topics and provides students with a clearer starting point for future review or tutoring.
The results can help Fit Minds Academy create a more personalized learning plan focused on the concepts and problem types requiring the most attention.
Diagnostic Assessment
✓ Identify current course strengths
✓ Detect gaps in foundational science knowledge
✓ Recognize challenging topics and question types
✓ Determine which skills require further practice
✓ Receive recommended next steps for improvement
Coming Soon!
Courses:
✓ Grade 9 Math
✓ Grade 9 Science
✓ Grade 10 Math
✓ Grade 10 Science
✓ Grade 11 Functions
✓ Grade 11 Physics
✓ Grade 11 Chemistry
✓ Grade 12 Physics
✓ Grade 12 Advanced Functions
✓ Grade 12 Calculus & Vectors
✓ Grade 12 Chemistry
High School Courses
Support for Ontario high school students building the math and science foundation needed for future engineering programs.
Courses:
✓ Calculus 1
✓ Calculus 2
✓ Physics 1
✓ Physics 2
✓ Linear Algebra
✓ Intro to Programming
First-Year Engineering Courses
One-on-One private tutoring for core courses taken by every first years engineering student
Courses:
✓ Strength of Materials
✓ Fluid Mechanics
✓ Thermodynamics
✓ Probability & Statistics
✓ Heat Transfer
Advanced Engineering Courses
Course-specific tutoring for technical courses that require stronger applied problem-solving.
Fit Minds Academy provides personalized 1-on-1 tutoring for high school students pursuing engineering programs and university students tackling challenging engineering courses. Our support covers math, physics, chemistry, calculus, statics, dynamics, thermodynamics, fluid mechanics, strength of materials, and other core engineering subjects.
All Courses We Tutor
Free Resources
Why Choose
Fit Minds Academy
Personalized 1-on-1 Tutoring
Every student has different strengths, learning gaps, and academic goals. Each tutoring session is tailored to the student’s course, current level, pace, and areas requiring additional support. Lessons focus on the exact concepts and problem types the student needs to understand.
Carefully Matched Tutors for Every Student
Students are matched with tutors based on their course, academic level, subject requirements, learning needs, and availability. Many of our tutors are engineers or technical professionals who understand both the course material and its practical applications.
Ontario Curriculum and Engineering-Focused Support
Our high school tutoring follows the Ontario curriculum and supports the math and science prerequisites required for engineering, science, and technology programs. We also tutor first-year and upper-year university courses, including calculus, physics, linear algebra, programming, thermodynamics, fluid mechanics, and strength of materials.
More than Homework Help
Our tutoring goes beyond completing assignments or memorizing formulas. Students receive clear explanations, structured practice, and step-by-step problem-solving support designed to strengthen understanding and prepare them for quizzes, tests, exams, university courses, and future engineering studies.
Flexible Hourly Tutoring
$125
Per Hour
Pay-As-You-Go Plan, Billed Biweekly
✓ Sessions from the comfort of your home
✓ Access to Fit Minds Discord server
✓ Personalised sessions to suit you
✓ We teach your course material
✓ Resources (course notes, practice tests, and videos)
10-hour Prepaid Plan
$1100
Per 10 Hours
$110 per hour - Save $150
✓ Sessions from the comfort of your home
✓ Access to Fit Minds Discord server
✓ Personalised sessions to suit you
✓ We teach your course material
✓ Resources (course notes, practice tests, and videos)
Not Sure Which Option Is Right?
Speak with Fit Minds Academy and find the Physics 1 tutoring plan that best matches the student’s current course needs and academic goals.
Pricing
Where Our Students Come From
Meet Our Tutors
Rami Alzaytavi
B.ENG. Software Engineer
Yacoob Kathrada
Bsc. Biomedical
Maya Al Khowjeh
B.Tech. Civil Engineering
Taha Arafat
Msc. Pharmacology
Jawad Qourshah
B.ENG. Mechanical Engineering
Manish Bahat
M.ENG. Mechanical Engineering
Oubada Al Tarabishi
M.ENG. Electrical Engineering
Ahmad Dawood
MSc. Computer Science
Rami Alzaytavi
B.ENG. Software Engineer
Yacoob Kathrada
Bsc. Biomedical
Maya Al Khowjeh
B.Tech. Civil Engineering
Taha Arafat
Msc. Pharmacology
Jawad Qourshah
B.ENG. Mechanical Engineering
Manish Bahat
M.ENG. Mechanical Engineering
Oubada Al Tarabishi
M.ENG. Electrical Engineering
Ahmad Dawood
MSc. Computer Science
Rami Alzaytavi
B.ENG. Software Engineer
Yacoob Kathrada
Bsc. Biomedical
Maya Al Khowjeh
B.Tech. Civil Engineering
Taha Arafat
Msc. Pharmacology
Jawad Qourshah
B.ENG. Mechanical Engineering
Manish Bahat
M.ENG. Mechanical Engineering
Oubada Al Tarabishi
M.ENG. Electrical Engineering
Ahmad Dawood
MSc. Computer Science
Rami Alzaytavi
B.ENG. Software Engineer
Yacoob Kathrada
Bsc. Biomedical
Maya Al Khowjeh
B.Tech. Civil Engineering
Taha Arafat
Msc. Pharmacology
Jawad Qourshah
B.ENG. Mechanical Engineering
Manish Bahat
M.ENG. Mechanical Engineering
Oubada Al Tarabishi
M.ENG. Electrical Engineering
Ahmad Dawood
MSc. Computer Science
Comprehensive Course Review
Review the major concepts taught throughout your course in one organized resource. The course review breaks challenging topics into smaller, understandable sections and provides clear examples showing how important concepts are applied.
✓ Core course topics and foundational concepts
✓ Clear explanations supported by worked examples
✓ Common mistakes and strategies for avoiding them
✓ Important skills needed for Probability & Statistics
✓ Practice questions organized by course topic
What the Course
Review Includes
Topics Covered
Coming Soon!
✓ Probability Distributions & Joint Probability
✓ Sampling Distributions & Central Limit Theorem
✓ Point & Interval Estimation
✓ Hypothesis Testing
✓ Linear Regression & Correlation
✓ Analysis of Variance (ANOVA)
✓ Statistical Quality Control
✓ Reliability & Risk Analysis
Practice Final Exams
Prepare for tests and final assessments with realistic, course-aligned practice exams. Each exam covers the major topics taught throughout the course, with detailed answer explanations that help students understand concepts, apply their knowledge, and learn from mistakes.
Students can use the practice exams to become familiar with different question formats, review challenging units, improve time management, and determine which concepts require additional preparation.
Coming Soon!
✓ Full-length practice exams
✓ Course-aligned and exam-style questions
✓ Questions from all major Probabilities & Statistics topics
✓ Detailed step-by-step solution guides
✓ Focused review of mistakes and weaker areas
Identify a student’s current strengths, foundational learning gaps, and course-specific areas of difficulty. The diagnostic assessment evaluates understanding across major course topics and provides students with a clearer starting point for future review or tutoring.
The results can help Fit Minds Academy create a more personalized learning plan focused on the concepts and problem types requiring the most attention.
Diagnostic Assessment
✓ Identify current course strengths
✓ Detect gaps in foundational science knowledge
✓ Recognize challenging topics and question types
✓ Determine which skills require further practice
✓ Receive recommended next steps for improvement
Coming Soon!
All Courses We Tutor
Free Resources
Fit Minds Academy provides personalized 1-on-1 tutoring for high school students pursuing engineering programs and university students tackling challenging engineering courses. Our support covers math, physics, chemistry, calculus, statics, dynamics, thermodynamics, fluid mechanics, strength of materials, and other core engineering subjects.
Courses:
✓ Grade 9 Math
✓ Grade 9 Science
✓ Grade 10 Math
✓ Grade 10 Science
✓ Grade 11 Functions
✓ Grade 11 Physics
✓ Grade 11 Chemistry
✓ Grade 12 Physics
✓ Grade 12 Advanced Functions
✓ Grade 12 Calculus & Vectors
✓ Grade 12 Chemistry
High School Courses
Support for Ontario high school students building the math and science foundation needed for future engineering programs.
Courses:
✓ Calculus 1
✓ Calculus 2
✓ Physics 1
✓ Physics 2
✓ Linear Algebra
✓ Intro to Programming
First-Year Engineering Courses
One-on-One private tutoring for core courses taken by every first years engineering student
Courses:
✓ Strength of Materials
✓ Fluid Mechanics
✓ Thermodynamics
✓ Probability & Statistics
✓ Heat Transfer
Advanced Engineering Courses
Course-specific tutoring for technical courses that require stronger applied problem-solving.
Why Choose
Fit Minds Academy
Personalized 1-on-1 Tutoring
Every student has different strengths, learning gaps, and academic goals. Each tutoring session is tailored to the student’s course, current level, pace, and areas requiring additional support. Lessons focus on the exact concepts and problem types the student needs to understand.
Carefully Matched Tutors for Every Student
Students are matched with tutors based on their course, academic level, subject requirements, learning needs, and availability. Many of our tutors are engineers or technical professionals who understand both the course material and its practical applications.
Ontario Curriculum and Engineering-Focused Support
Our high school tutoring follows the Ontario curriculum and supports the math and science prerequisites required for engineering, science, and technology programs. We also tutor first-year and upper-year university courses, including calculus, physics, linear algebra, programming, thermodynamics, fluid mechanics, and strength of materials.
More than Homework Help
Our tutoring goes beyond completing assignments or memorizing formulas. Students receive clear explanations, structured practice, and step-by-step problem-solving support designed to strengthen understanding and prepare them for quizzes, tests, exams, university courses, and future engineering studies.
Flexible Hourly Tutoring
$125
Per Hour
Pay-As-You-Go Plan, Billed Biweekly
✓ Sessions from the comfort of your home
✓ Access to Fit Minds Discord server
✓ Personalised sessions to suit you
✓ We teach your course material
✓ Resources (course notes, practice tests, and videos)
10-hour Prepaid Plan
$1100
Per 10 Hours
$110 per hour - Save $150
✓ Sessions from the comfort of your home
✓ Access to Fit Minds Discord server
✓ Personalised sessions to suit you
✓ We teach your course material
✓ Resources (course notes, practice tests, and videos)
Not Sure Which Option Is Right?
Speak with Fit Minds Academy and find the Physics 1 tutoring plan that best matches the student’s current course needs and academic goals.
Contact us
Get in touch with our experts team
Pricing