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This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since October 2020
Instructor since October 2020
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College / High School Maths and / or Physics course.
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From 29 € /h
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My name is Mehdi, I am 26 years old, I give private lessons in Math / Physics at home (College / High School).
Let's be clear, there is no such thing as a bad student! Only bad methods of sending a message.
Sentences like: "I suck at Math ... Math is not for me ..." do not exist, we all have the potential to excel in these areas, all students have their own difficulties, which can sometimes be quite difficult to pinpoint.
Depending on these difficulties, I will adopt a more or less "Academic" method to help the student get back to level, and even surpass him.
It is important to motivate the student, to realize their full potential and above all to identify their shortcomings.
I am committed to establishing a personalized program to fill all these gaps, which will allow him to have a new vision of mathematics and the world (Physics).
My main asset is my "Very visual approach" which is very different from the one that can be found in high schools, this one will allow the student to have a concrete vision of what he is doing. to learn, to succeed in making the analogy between Mathematics, Physics and the world around us.
I succeeded in developing my "approach" because I myself was this pupil in difficulty, who only needed that one opens his eyes to him and not that one discourages.
-Holder of a Bac S.
-Bidisciplinary Maths / Physics degree at Pierre & Marie Curie University.
-Classical guitar at the conservatory
I began to give free lessons with my association working to help sick or disadvantaged children.
Since 2012, I take care every year to bring high school students up to standard who think: "Maths and me that's 2 ...".
Location
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At student's location :
  • Around Vitry-sur-Seine, France
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Online from France
About Me
My name is Mehdi, I am 26 years old, I live in Vitry Sur Seine, I give private lessons in Math / Physics at home (College / High School).

Let's be clear, there is no such thing as a bad student! Only bad methods of sending a message.
Sentences like: "I suck at Math ... Math is not for me ..." do not exist, we all have the potential to excel in these areas, all students have their own difficulties, which can sometimes be quite difficult to pinpoint.

-Holder of a Bac S.
-Bidisciplinary Maths / Physics degree at Pierre & Marie Curie University.
-Classical guitar at the conservatory
Education
Depending on the student's difficulties, I will adopt a more or less "Academic" method to help him get back to level, and even surpass him.
It is important to motivate the student, to realize their full potential and above all to identify their shortcomings.
I am committed to establishing a personalized program to fill all these gaps, which will allow him to have a new vision of mathematics and the world (Physics).
My main asset is my "Very visual approach" which is very different from the one that can be found in high schools, this one will allow the student to have a concrete vision of what he is doing. to learn, to succeed in making the analogy between Mathematics, Physics and the world around us.
I succeeded in developing my "approach" because I myself was this pupil in difficulty, who only needed that one opens his eyes to him and not that one discourages.
Experience / Qualifications
I began to give free lessons with my association working to help sick or disadvantaged children.
Since 2012, I take care every year to bring high school students up to standard who think: "Maths and me that's 2 ...".
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
90 minutes
120 minutes
The class is taught in
French
Arabic
English
Availability of a typical week
(GMT -04:00)
New York
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Online via webcam
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At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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- Classification / clustering

1) Academic support

- Lectures, tutorials, projects and assignments in statistics
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2) Statistical analysis

- Descriptive statistics (univariate and bivariate)
- Multivariate analyses
- Data exploration and outlier detection

3) Statistical tests

- Correlations (Pearson, Spearman, Cohen's Kappa)
- t-tests (one and two samples, independent or paired)
- Chi-square, binomial tests
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4) Statistical modeling

- Linear regressions (simple and multiple)
- Logistic regression
- Interpretation of coefficients, diagnostics and validation of models

5) ANOVA & ANCOVA

- One- or multi-factor ANOVA
- Repeated measures ANOVA
- Fixed and random effects
- Post-hoc tests and effect sizes

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- ACP / PCA (scree plot, factor scores, matrices)
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- Factorial rotations
- Validation and interpretation of structures and clusters

◾ Reporting & communication

- Clear, structured and concise reporting of results
- Visualizations tailored to decision-makers
- Support for strategic and operational decision-making
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Contact Mehdi
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Similar classes
arrow icon previousarrow icon next
verified badge
Amine
◾ Tools

R studio • SQL • SPSS • SAS • Jamovi • JASP

◾ Statistical Methods & Tests

Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation

◾ Data analysis & decision support

- Data preparation, structuring and validation using SAS, R and SQL
- Descriptive, exploratory and multivariate statistical analyses on business data
- Production of performance indicators and actionable analyses to support decision-making

◾ Selection and implementation of methods

- Preparation and structuring of databases
- Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA)
- Linear and logistic regressions
- Factor analyses (PCA / MCA)
- Mediation and moderation models
- Classification / clustering

1) Academic support

- Lectures, tutorials, projects and assignments in statistics
- Help in understanding and interpreting the results
- Preparation for exams and academic presentations

2) Statistical analysis

- Descriptive statistics (univariate and bivariate)
- Multivariate analyses
- Data exploration and outlier detection

3) Statistical tests

- Correlations (Pearson, Spearman, Cohen's Kappa)
- t-tests (one and two samples, independent or paired)
- Chi-square, binomial tests
- z-scores and associated indicators

4) Statistical modeling

- Linear regressions (simple and multiple)
- Logistic regression
- Interpretation of coefficients, diagnostics and validation of models

5) ANOVA & ANCOVA

- One- or multi-factor ANOVA
- Repeated measures ANOVA
- Fixed and random effects
- Post-hoc tests and effect sizes

6) Factor analyses

- ACP / PCA (scree plot, factor scores, matrices)
- Exploratory factor analysis
- Factorial rotations
- Validation and interpretation of structures and clusters

◾ Reporting & communication

- Clear, structured and concise reporting of results
- Visualizations tailored to decision-makers
- Support for strategic and operational decision-making
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