Secondary Mathematics for age 12 and above - Algebra, Geometry, Statistics & Probability

From 6 C$ /h

Class/Course Description:
The Secondary Mathematics course is designed to build upon the foundational knowledge acquired in earlier years of mathematics education. This course covers three core areas of mathematics: Algebra, Geometry, and Statistics and Probability.

The Algebra section of this course is designed to provide students with the tools and techniques required to solve complex equations and inequalities. Students will learn to manipulate expressions, solve equations, and graph functions. This section of the course will also cover quadratic equations, systems of linear equations, and polynomials.

In the Geometry section of this course, students will explore the properties of two- and three-dimensional figures. They will learn to use geometric formulas to calculate area, volume, and surface area. This section of the course will also cover topics such as congruence, similarity, and trigonometry.

The Statistics and Probability section of this course will provide students with an introduction to basic statistical concepts, such as measures of central tendency and variability. Students will also learn how to calculate probability, use statistical models, and make informed decisions based on data.

Throughout the course, students will be encouraged to think critically and use problem-solving strategies to apply the concepts they learn. The course will also emphasize the importance of mathematical communication and collaboration, both in written and verbal formats.

Course Objectives:
Upon completion of the Secondary Mathematics course, students will be able to:

1. Solve complex algebraic equations and inequalities.
2. Apply mathematical formulas to calculate area, volume, and surface area of two- and three-dimensional figures.
3. Understand the properties of geometric figures and use trigonometry to solve geometric problems.
4. Use statistical concepts and techniques to interpret and analyze data.
5. Evaluate statistical models and make informed decisions based on data.
6. Communicate mathematical concepts effectively in written and verbal formats.
7. Collaborate with peers to solve mathematical problems.

Assessment:
Assessment in this course will be based on a variety of methods, including quizzes, tests, homework assignments, projects, and class participation. These assessments will be designed to measure the student's understanding of the concepts covered in the course and their ability to apply those concepts in real-world situations.

Grading:
Grades in this course will be based on a point system, with each assessment contributing a specific number of points to the student's final grade. The grading scale will be based on a 100-point system, with the following breakdown:

A: 90-100%
B: 80-89%
C: 70-79%
D: 60-69%
F: Below 60%

Course Materials:
Students will need access to a textbook online, a laptop for online discussions and meetings, a scientific calculator, and other materials as necessary. Course materials may also include online resources, such as videos, interactive activities, and practice exercises.

Extra information

Scientific Calculator is necessary.

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Location

Online from Philippines

About Me

I am a Math teacher in the making who teach math in a fun way. We always start with an Ice Breaker! (that includes points!)
I love how my students will understand even the very complicated ones with the help of my teaching strategies. (I do it in the simplest way!)
About my teaching experiences, I have taught one-on-one virtual classes with my student in Mathematics (Statistics and Probability to be specific).
I also attend seminars and got my on-the-job training in public schools for 2 months.

Education

I have pursued academic excellence throughout my educational journey, consistently achieving high grades and receiving recognition for my accomplishments. Specifically, I completed a Bachelor's degree in Secondary Education with a major in Mathematics from Manuel S. Enverga University Foundation and maintained a record of academic achievement from primary school through to my tertiary studies.

Experience / Qualifications

3 years Mathematics Tutor
3 months of on-the-job training in Public school.

Skills Experiences
Collaborative: Throughout my teaching experiences, I have had the opportunity to work closely with other educators, including classroom teachers, administrators, and fellow interns. Collaborating with others has allowed me to share ideas, learn new teaching strategies, and receive feedback on my own teaching.

Dynamic: Teaching is a dynamic process, and every day brings new challenges and opportunities to engage with students. From developing lesson plans to adapting to unexpected changes in the classroom, I have learned to be flexible and responsive to the needs of my students.

Reflective: Reflecting on my teaching experiences has been an important part of my growth as an educator. I regularly evaluate my teaching strategies, assess student learning, and seek feedback from colleagues and mentors. This has helped me identify areas for improvement and refine my approach to teaching.

Student-centered: Above all, my teaching experiences have been focused on meeting the needs of my students. I strive to create a learning environment that is supportive, engaging, and inclusive, and I work to tailor my instruction to the diverse needs and interests of my students.

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

Skills

Algebra

Geometry

Statistics

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Adam

4.81

(27)

Demystifying probabilities and data processing
Statistics and probability occupy an increasing place in the secondary school curriculum and directly prepare students for the requirements of higher education (economics, medicine, engineering, humanities).

The sessions will include:

Descriptive statistics (means, standard deviations, graphical representations).

Conditional probabilities, probability laws and combinatorics.

Analysis, interpretation of datasets and sampling logic.

Targeted training based on typical exercises and exam problems.

Madara

4.81

(27)

I am a Doctor of Psychology (PhD) and researcher with extensive experience in teaching and mentoring. Since October 2016, I have successfully tutored undergraduate, postgraduate, and Ph.D. students, as well as professionals, in areas including Psychology (AS, A-level (AQA or other exam boards), and degree level), Statistics, Data Analysis, SPSS, Jamovi, JASP, R/RStudio, Research Methods, and in support of research projects, theses, and dissertations.

I specialise in Clinical Psychology, particularly reading disabilities and dyslexia, though I also have strong knowledge across other areas of psychology, research methodology, and data analysis, with expertise in SPSS.

I offer individual, live, one-to-one online sessions via Zoom, tailored to your learning goals. I can also recommend relevant literature and provide resources from my own curated database to support your studies and research.

Amin

4.81

(27)

Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it?
This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio).
What we cover, adapted to your level and goals:
- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
- University students in statistics, economics, engineering, or biology
- Professionals wanting to move into data analysis or data science
- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

Armend

4.81

(27)

Bachelor's student in economics and management offers private lessons in mathematics.
I obtained my bachelor's degree with a specialization in mathematics and physics and I have sufficient knowledge in mathematics, physics, chemistry, German, English and French.
In my teaching, I adapt to the learning conditions and the student's life in order to strengthen their self-confidence and ensure that they understand the lessons and progress.

My goal is to create an effective learning environment. I rely on the student's course, which I supplement if necessary with additional information.

Salah

4.81

(27)

As a teaching professional, I have always enjoyed sharing my knowledge. My goal is to provide quality education. I am aware that some topics may seem complex, but often this is simply the result of an inadequate explanation by the teacher. With me, you will discover a real interest in the material!

We strive together to achieve academic excellence, overcoming the shortcomings and difficulties encountered by your child. Studies will become a pleasant experience for him. In addition to the courses, I can also help with school orientation, identifying their preferences and highlighting the advantages and benefits of a fulfilling educational ambition.

The sessions generally take place according to the following stages:

1️⃣ The first sessions are devoted to the assessment of the student's level in order to detect existing gaps.

2️⃣ Next, we create a personalized plan to address these gaps, including the number of hours of work needed, specific areas to focus on, and appropriate training and development exercises.

3️⃣ We stay in constant contact with the student's class teacher, to keep up to date with the latest requirements and ensure a consistent approach.

4️⃣ Subsequently, I provide exams similar to those that are likely to be asked in class, to prepare the student effectively.

5️⃣ Upon request, I write a regular report, usually monthly, to keep parents informed of their child's progress throughout their course.

I adapt my methodology according to the specific needs of each student, thus offering them a personalized and adapted work approach.

In addition, I offer crash courses for students preparing for the start of the school year, allowing them to start the year well prepared, with a solid lead on the school curriculum.

If you have any questions, do not hesitate to contact me. I will be happy to help you.

Baia

4.81

(27)

I work with two kinds of students: those preparing to meet university math admission requirements (OMPT, CCVX, VWO), and those already enrolled who need solid support in calculus, linear algebra, differential equations, probability & statistics, or discrete math including students at TUM, ETH Zurich, TU Delft, KTH, EPFL, and RWTH Aachen.
Lessons are in English; I can explain in German where it helps.

Marc

4.81

(27)

🎓My name is Marc, I have a Master 2 degree in Applied Mathematics and Statistics and a Master 2 degree in Mathematics.
I teach mathematics and computer science to the following levels:
• Middle school (all grades)
• High school: common core curriculum, mathematics specialization, advanced mathematics
• Higher education: BTS, BUT, Bachelor's degree, private schools (probability, statistics, analysis, algebra, etc.)

📍 Areas of intervention
• At home: Marseille
• Online: throughout France (video conference lessons, shared materials, exercises sent after the lesson).

🧠 My method
• Review of the basics to fill in the gaps
• Simple explanations + concrete examples
• Targeted exercises to prepare for tests, exams, baccalaureate, midterms, etc.
• Implementation of a work method (worksheets, time management, writing)

🧮 For whom?
• Students who are struggling and want to improve their grades
• Students aiming for a good grade in the Brevet/Bac exams
• Higher education students who want to succeed in their math/statistics/computer science (python) exams.

⏰ Availability
• In the evenings on weekdays, and it's possible during the day on certain days of the week.
• Weekends
• School holidays (possibility of revision courses in small groups).

Iskander

4.81

(27)

I hold a Doctorate in Pharmacy and 2 Masters degrees from the University of Paris V René-Descartes.
Since the beginning of my higher education, and since I established myself as a freelancer after 10 years of managerial career in the pharmaceutical industry, I have been used to regularly giving private lessons to pupils and students of all levels, Primary, Secondary and Higher, supporting them until they pass their exams.
The main disciplines in which I support students are essentially scientific.
The perspectives provided are transdisciplinary.

Raouf

4.81

(27)

The first years of Bachelor's and Master's degrees are often intense and stressful. The first few weeks are the ideal time to fill in any gaps in your knowledge, consolidate what you've learned, and get a head start on the program without the pressure of the academic year.

This course offers tailor-made support, specifically adapted to the requirements of the Luxembourg university system (Uni.lu, etc.).

Who should attend ?

This program is aimed at students who will face crucial challenges at the start of the academic year:
- Students entering Bachelor's degree: For future students in science, economics, computer science or engineering requiring a smooth transition to university mathematics.
- Students aiming for a Master's degree: For strengthening the advanced analytical skills required in higher education.

Program and Objectives by Level

| **Bachelor's Degree** | Acquire academic rigor and methods. | Linear Algebra, Differential and Integral Calculus, Sequences and Series. |
| **Master's** | Deepening knowledge of complex mathematical tools. | Advanced Statistics, Optimization, Modeling, Algorithms. |

My Methodology

My approach is student-centered and results-oriented:

1. Initial assessment: During our first session, we identify your strengths and areas for improvement.
2. Personalized action plan: We define a work schedule adapted to your summer rhythm so as not to encroach on your rest.
3. Understanding before application: Clear and simplified explanation of abstract theoretical concepts.
4. Intensive practice: Solving progressive exercises, past exam papers and practical cases.
5. Toolbox: Provision of summary sheets, problem-solving methods and tips to save time on the day.

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💡 Practical Information

Format: Online course
Flexibility: Flexible hours to suit your availability.
Follow-up: Available via message between classes for any blocking questions.

Invest in your success today.
Contact me to discuss your goals and book your slot!

Fisnik

4.81

(27)

Do you have a statistics or probability exam in BA1/BA2? I can help you review the material in a clear, structured and exam-oriented way.

I support higher education students (university and college), particularly in their first and second years of undergraduate studies, to understand important concepts, redo practical exercises, and practice with exam-style questions.

My goal is simple: to help you understand the logic behind formulas, know when to use them, recognize correct reasoning in a statement, and gain autonomy when facing exercises.

Subjects covered according to your program:

• Descriptive statistics:
mean, median, variance, standard deviation, quartiles, quantiles, coefficient of variation, box plots, histograms, graphs, interpretation of tables and data.

• Univariate and bivariate statistics:
analysis of one variable, analysis of two variables, scatter plots, covariance, correlation, regression line, coefficient of determination, interpretation of relationships between variables.

• Probabilities:
events, union, intersection, complement, conditional probabilities, independence, Bayes' theorem, probability trees, contingency tables.

• Combinatorial probabilities:
permutations, arrangements, combinations, draws with or without replacement, counting, classic exam situations.

• Random variables:
discrete and continuous variables, probability function, density function, distribution function, expectation, variance, standard deviation, variable transformation.

• Probability laws:
Bernoulli distribution, binomial distribution, normal distribution, standard normal distribution, Student's t-distribution, chi-square distribution, use of statistical tables according to your course.

• Statistical inference:
sampling, estimators, point estimation, confidence intervals, margin of error, degrees of freedom, confidence level.

• Hypothesis testing:
null hypothesis H0, alternative hypothesis H1, significance threshold, p-value, one-tailed or two-tailed test, test on a mean, test on a proportion, chi-square test, interpretation of results.

• Exam preparation:
reading statements, choosing the right method, identifying the formulas to use, typical exercises, past exams, guided corrections and problem-solving methods.

Method of working :

1. We quickly identify the chapters that are causing problems;
2. I re-explain the theory with simple examples;
3. We redo the important exercises together;
4. I will show you how to recognize good reasoning in the exam;
5. We construct a clear method that can be reused independently.

I don't just provide a correction: I explain the reasoning step by step so that you are able to redo the exercises without help.

For students retaking the exam, I also offer more intensive support: level assessment, priority identification, review of fundamentals, and practice with typical exercises and past exams. The goal is to get straight to the point and work efficiently within the time available before the exam.

I have been giving private lessons for over 7 years in mathematics, statistics, economics, and accounting. I have also tutored first and second-year Bachelor's students at Solvay/ULB in mathematics, statistics, and microeconomics as part of a university tutoring program.

My professional experience in finance and business controlling at Deloitte has also allowed me to develop a very structured approach to numbers, analysis and problem-solving.

Courses available in French or English, online or in person in Brussels or the surrounding area.

Daniel

4.81

(27)

Currently in Master 2 of Random Modeling at the University of Paris Cité, after a rigorous research Master focused on dynamic systems, I dedicate my expertise to Bachelor (L1, L2, L3) and Master (M1) students facing the demands of scientific and economic fields.

Objective: Zero obstacles. A targeted support system to help you pass your exams and entrance exams.

Maryam

4.81

(27)

I offer online math tutoring for students in Grades 6 to 10 (covering Middle School Math, local Matric Math, and GCSE/IGCSE Math).

Math can sometimes feel like a puzzle with too many confusing rules, but once the basic steps are clear, it becomes much easier. Here is how we work together during our sessions:

Breaking down difficult topics like algebra, geometry, and fractions into simple, easy-to-follow steps.

Solving homework problems together and clearing up any confusions on the spot.

Practicing past board papers and school test questions so you feel completely confident before your exams.

Send me a message if you want to chat about what math topics you need help with!

Dennis

4.81

(27)

An elite academic and educator holding an Astrophysics PhD from Charles University, graduating with highest honors across all degrees.
Bringing years of formal university teaching experience—including serving as a Graduate Teaching Assistant (TA) for Differential Equations and instructing Astrophysics I—I offer unparalleled mentorship in physics and mathematics. My expertise spans from foundational high school concepts to highly abstract pure mathematics (topology, combinatorics) and advanced applied sciences. Having guided hundreds of university students through rigorous STEM coursework, I know exactly where students stumble and how to fast-track their understanding.

Victor

4.81

(27)

I provide bespoke, one-on-one A-level Maths and Further Maths tuition focused on strategic problem-solving and rigorous exam preparation. As a former university lecturer and researcher, I have extensive experience guiding students through complex mathematical concepts and helping them secure top grades.

I adapt my teaching to all major UK exam boards and utilise digital whiteboards for highly interactive, real-time collaboration. Rather than relying solely on generic textbooks, I design custom mock exams and targeted worksheets tailored exactly to your syllabus and areas for improvement.

Whether your primary goal is achieving top A-level results or you require elite preparation for competitive university admissions exams such as the TMUA, MAT, or STEP for institutions like Oxford, Cambridge, and Imperial College, I provide the structured environment you need to succeed.

Alexandre

4.81

(27)

Whether you're in a preparatory class for engineering schools (scientific track or business school), a bachelor's degree, an engineering school, or a master's program, higher-level mathematics moves quickly, and a poorly understood concept can hold you back from an entire chapter. This course is designed to help you truly understand, and then master, the material.

Graduate engineer from CentraleSupélec, eligible for the agrégation option probability-statistics (2026), I am preparing a doctorate in AI applied to automation and I have taught more than 400 hours at the university.

Each session is tailored to your needs: questions from the week, practice exams or midterms to prepare for, or a particularly challenging exercise. I begin with intuitive approaches (diagrams, concrete examples, sometimes a Python simulation), then we move on to more rigorous methods: definitions, key proofs, and the writing style expected in competitive exams. You then work through progressively challenging exercises and leave with a summary of the methods.

Areas of expertise: analysis, linear algebra, probability, statistics, financial mathematics and mathematical foundations of machine learning.