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Amine
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from42.00EUR/ h

Experienced professional: SPSS, JASP, Jamovi, R studio, statistical hypothesis testing, ANOVA, multivariate analysis, regression

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During this course you will learn:

✓ SPSS, jamovi, jasp

✓ R Studio

✓Stata and xlstat

✓ Analyze data for univariate, bivariate and multivariate statistics with SPSS

✓ Simple and multiple linear regression and Logistic regression

✓ Analyze exploratory data, basic statistics and visual displays (Frequencies, exploration function, outliers)

✓ Inferential tests on correlations, counts and means (Calculation of z-Scores in SPSS, Correlation coefficients, A measure of reliability: Cohen's Kappa, Binomial tests, Goodness of fit test, Chi-square , One-sample t-test for a mean, Two-sample t-test for means)

✓ Analysis of variance (fixed and random effects, Running ANOVA in SPSS, The F-test for ANOVA, Effect size, Contrasts and post-hoc tests, Alternative post-hoc tests and comparisons, ANOVA with random effects , factorial ANOVA with fixed effects and interactions, Simple main effects, Analysis of covariance (ANCOVA), Power for analysis of variance) and Repeated Measures ANOVA (One-way repeated measures, Repeated measures in both directions: one between and one in the postman)

✓ Principal Component Analysis (PCA Example, Pearson 1901 Data, Component Scores, Principal Component Visualization, Correlation Matrix PCA) and Exploratory Factor Analysis (The Common Factor Analysis Model, The Problem of Factor Analysis exploratory, Factor analysis of CPA data, Scree Plot, Rotation of the factor solution, Cluster analysis, How to validate clusters)

___________________________________

✓ My courses are based on exercises with the essentials of the course to remember.

✓ Working method for better understanding.

✓ Working on concrete data which allows the work to be visualized and assimilated more quickly.

Location

Online via webcam

General info

Age:
Adults (18-64 years old)
Seniors (65+ years old)
Student level:
Beginner
Intermediate
Advanced
Duration:
60 minutes
The class is taught in:English, French

About Me

Statisticien doté de 7 années d’expérience, j’ai développé une solide expertise en analyse de données au travers de nombreux projets d’études diversifiés. J’ai eu le privilège d’accompagner et d’encadrer des étudiants universitaires, des élèves ingénieurs, des chercheurs, et des professionnels de secteurs variés, en leur apportant un soutien personnalisé.
Mon approche a permis à de nombreux étudiants de surmonter leurs défis académiques et de réussir leurs projets avec succès.

Education

-Doctorat en statistique et Analyse des données.

-Master en Statistique Appliquée.

-Licence en Mathématiques et Statistique.

-Supervision de projets de fin d'études et encadrement d'étudiants dans la réalisation de leurs travaux de recherche.

Experience / Qualifications

- Enseignement de cours de statistique appliquée, régression linéaire, analyse multivariée, tests d'hypothèses et ANOVA aux étudiants de Licence et Master.
- Supervision de projets de fin d'études et encadrement d'étudiants dans la réalisation de leurs travaux de recherche.
- Développement de nouveaux modules d'apprentissage pour intégrer des outils statistiques modernes tels que R, SPSS, JASP, Jamovi, et RStudio.
- Participation à des projets de recherche collaboratifs dans le cadre de l'université.

Reviews (1)

Very good teacher. 100% recommended.
Translated by Google. Click to view original.
During this course you will learn: ✓ SPSS ✓ R Studio ✓jamovi/jasp/Stata/xlstat ✓ Analyze data for univariate, bivariate and multivariate statistics with SPSS ✓ Simple and multiple linear regression and Logistic regression ✓ Analyze exploratory data, basic statistics and visual displays (Frequencies, exploration function, outliers) ✓ Inferential tests on correlations, counts and means (Calculation of z-Scores in SPSS, Correlation coefficients, A measure of reliability: Cohen's Kappa, Binomial tests, Goodness of fit test, Chi-square , One-sample t-test for a mean, Two-sample t-test for means) ✓ Analysis of variance (fixed and random effects, Running ANOVA in SPSS, The F-test for ANOVA, Effect size, Contrasts and post-hoc tests, Alternative post-hoc tests and comparisons, ANOVA with random effects , factorial ANOVA with fixed effects and interactions, Simple main effects, Analysis of covariance (ANCOVA), Power for analysis of variance) and Repeated Measures ANOVA (One-way repeated measures, Repeated measures in both directions: one between and one in the postman) ✓ Principal Component Analysis (PCA Example, Pearson 1901 Data, Component Scores, Principal Component Visualization, Correlation Matrix PCA) and Exploratory Factor Analysis (The Common Factor Analysis Model, The Problem of Factor Analysis exploratory, Factor analysis of CPA data, Scree Plot, Rotation of the factor solution, Cluster analysis, How to validate clusters) ___________________________________ ✓ My courses are based on exercises with the essentials of the course to remember. ✓ Working method for better understanding. ✓ Working on concrete data which allows the work to be visualized and assimilated more quickly.

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from 42€Online via webcam

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

Online reputation

  • Instructor since December 2021
  • Phone number verified
  • Google connected

Availability of a typical week

(GMT -04:00) New York
MonTueWedThuFriSatSun
0
  
  
  
  
  
  
  
1
  
  
  
  
  
  
  
2
  Monday at 2:00
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  Monday at 15:00
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19
  
  
  
  
  
  
  
20
  
  
  
  
  
  
  
21
  
  
  
  
  
  
  
22
  
  
  
  
  
  
  
23
  
  
  
  
  
  
  
from 42€Online via webcam

Good-fit Instructor Guarantee


If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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Radouan
📊 Master Probability and Statistics with Personal Tutorials! Boost Your Grades and Confidence 🚀
🌟 Become an Expert in Probability, Statistics and Data Science! 🌟 Do you want to master probability, advanced statistics, or learn data science? My private lessons are designed to support you, whether you're a bachelor's or master's student, preparing for the BCE or HEC competitive exams, or simply passionate about data analysis. 🎓 📊 Areas of Expertise** - **Probabilities**: Discrete and continuous laws (binomial, Poisson, normal, exponential, etc.), expectation, variance, **limit theorems** (law of large numbers, central limit theorem), **stochastic processes**, Markov chains. - **Descriptive and inferential statistics**: Data analysis, hypothesis testing (Z-test, t-test, chi-square, ANOVA), confidence intervals, linear and logistic regression. - **Data Science**: Introduction to data analysis tools with **Python**, **R** or **Excel**, statistical modeling, time series, multivariate analysis. - **Preparation for competitive exams**: Methodology adapted for the **mathematics** tests of the **BCE**, **HEC**, **ENS**, or other demanding courses. 🎯 For Whom? - Students in **mathematics**, **economics**, **engineering**, **social sciences** or **biology**. - Students in **preparatory classes** (ECS, ECE, BCPST, MPSI, etc.) aiming for excellence in competitive exams. - Professionals wishing to train in **data analysis**, **applied statistics** or **data science**. - Enthusiasts who want to understand **stochastic processes** or probabilistic models. 💡 My Method - **Tailor-made courses**: Adapted to your level and your objectives, whether to **understand the basics** or to **explore advanced concepts**. - **Practical exercises**: Concrete cases and typical problems to prepare you for exams, competitions or professional projects. - **Educational approach**: Clear and detailed explanations to help you overcome difficulties and gain confidence. 📈 Why Choose Me? - Solid experience in teaching **applied mathematics**, **statistics** and **data science**. - Caring teaching methods adapted to each profile. - Focus on **deep understanding** of concepts and their application in various contexts (competitions, studies, professional projects). 🚀 Objectives - **Pass your exams** or competitions with flying colors. - **Acquire solid skills** in probability, statistics and data science. - **Develop analytical thinking** to solve complex problems. --- **#Probability #Statistics #DataScience #StochasticProcesses #BCECompetitions #HECCompetitions #Python #R #DataAnalysis #Mathematics #PrepClasses #Success #Pedagogy** Ready to take action? Turn your challenges into strengths and become an expert in probability and statistics! 🚀

Lobna
Helping Business Administration students around the world
Teaching, questioning, and graduation projects Hello, I am Lobna, a Bachelor of Commerce specializing in business administration. "Top of my class" grade ( very good ) with honors. The business administration specialization is one of the most beautiful fields but it needs effort and a good understanding of the subjects you study. So that you can do that and graduate with an honorable grade from a business administration department that helps you in your work - your acceptance of scholarships - academic work Here I am helping you with that ، A simple, enjoyable, and improved explanation of the subject matter - Help with graduation projects - Help with the required research Discussing the problems or difficulties facing you as a student of business administration and working to solve them All you need to be an honored student Let's start and draw your future The course is for College of Commerce students - Department of Business Administration MBA students Graduation projects for students of the College of Commerce - Department of Business Administration Assistant Doctor - Business Administration