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Professeur fiable
Ce professeur a un délai et un taux de réponse très élevé, démontrant un service de qualité et sa fidélité envers ses élèves.
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Depuis août 2024
Professeur depuis août 2024
"Mastering Science, Math, and Tamil: An Innovative Journey Through Learning with Unique Perspective on Precision
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Àpd 124.89 CNY /h
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.Step into a world where science, math, and Tamil come alive through the unique lens of a dental surgeon! As a passionate educator and experienced practitioner, I bring a fresh, practical approach to learning that connects the dots between textbooks and the real world. Imagine mastering the complexities of science with a deeper understanding of human anatomy, unraveling the mysteries of math with the precision of surgical techniques, and exploring the beauty of Tamil language and culture with the clarity of a well-crafted smile. Whether you’re aspiring to excel in exams or simply eager to learn in an engaging and innovative way, my classes promise to ignite curiosity, inspire confidence, and empower you to achieve your academic goals. Join me, and let’s make learning not just effective, but extraordinary!
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Cours chez le professeur :
  • Rue Pierre de Ronsard, Arcueil, France
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En ligne depuis France
Age
Enfants (7-12 ans)
Adolescents (13-17 ans)
Niveau du Cours
Débutant
Intermédiaire
Durée
60 minutes
Enseigné en
anglais
tamoul
cingalais
Disponibilité semaine type
(GMT -05:00)
New York
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Cours chez le professeur et par webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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Amine
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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Contacter Thiluckshana
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Le premier cours est couvert par notre Garantie Le-Bon-Prof
Cours Similaires
arrow icon previousarrow icon next
verified badge
Amine
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.
Garantie Le-Bon-Prof
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Contacter Thiluckshana