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    Amine
    Trusted teacher
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    Trusted teacher
    from42.00EUR/ h

    Expert and experienced Professor: SPSS, R, jamovi, jasp, STATA, hypothesis testing, ANOVA, multivariate analysis, linear/log regression

    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.

    Location

    Online via webcam
    At student's location: Around Paris, France

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    General info

    Age:
    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: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.
    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.

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    Availability of a typical week

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    9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
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    11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
    12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
    13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
    14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
    15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
    16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
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    from 42€Online via webcam
    from 42€At student's home

    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
    • 1 repeat student
    • Phone number verified
    • Google connected

    Availability of a typical week

    (GMT -05:00) New York
    MonTueWedThuFriSatSun
    0              
    1              
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    4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00        
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    7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
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    9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
    10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
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    12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
    13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
    14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
    15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
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    from 42€Online via webcam
    from 42€At student's home

    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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