
from36.74GBP/ 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.
Ask a question
Send a message explaining your needs and Amine will reply soon:
The more detail, the better.
Ex. "Hi, when are you available to meet for a lesson?"
Ex. "Hi, when are you available to meet for a lesson?"
Availability of a typical week
(GMT -04:00) New York
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4 | Monday at 4:00 | Tuesday at 4:00 | Wednesday at 4:00 | Thursday at 4:00 | Friday at 4:00 | Saturday at 4:00 | Sunday at 4:00 |
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from £36.74Online via webcam
100% Satisfaction Guarantee
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 -04:00) New York
Mon | Tue | Wed | Thu | Fri | Sat | Sun | |
---|---|---|---|---|---|---|---|
0 | |||||||
1 | |||||||
2 | Monday at 2:00 | Tuesday at 2:00 | Wednesday at 2:00 | Thursday at 2:00 | Friday at 2:00 | Saturday at 2:00 | Sunday at 2:00 |
3 | Monday at 3:00 | Tuesday at 3:00 | Wednesday at 3:00 | Thursday at 3:00 | Friday at 3:00 | Saturday at 3:00 | Sunday at 3:00 |
4 | Monday at 4:00 | Tuesday at 4:00 | Wednesday at 4:00 | Thursday at 4:00 | Friday at 4:00 | Saturday at 4:00 | Sunday at 4:00 |
5 | Monday at 5:00 | Tuesday at 5:00 | Wednesday at 5:00 | Thursday at 5:00 | Friday at 5:00 | Saturday at 5:00 | Sunday at 5:00 |
6 | Monday at 6:00 | Tuesday at 6:00 | Wednesday at 6:00 | Thursday at 6:00 | Friday at 6:00 | Saturday at 6:00 | Sunday at 6:00 |
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 |
8 | Monday at 8:00 | Tuesday at 8:00 | Wednesday at 8:00 | Thursday at 8:00 | Friday at 8:00 | Saturday at 8:00 | Sunday at 8:00 |
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 |
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 |
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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 £36.74Online 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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