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(1 review)
Amine - Paris, FranceC$68
C$68Expert and experienced Professor: SPSS, R, jamovi, jasp, STATA, hypothesis testing, ANOVA, multivariate analysis, linear/log regression
Trusted teacher: 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.
Statistics · Math · Economics for students
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(5 reviews)
Ahmed - Brussels, BelgiumC$107
C$107Statistics Courses By a University Professor
Trusted teacher: In order to support students who encounter difficulties in statistics, remedial sessions on descriptive statistics and inferential statistics are offered in particular on: confidence interval, statistical hypothesis test, Paired data or not? "Normal" or not? Parametric and non-parametric tests, Confidence interval and "number of subjects needed" in estimating a proportion, Also the analysis of your thesis data (linear / logistic regression, anova, t-tests, principal component analysis, repeated measures, mixed models, time series, panel analyzes, fixed and random effects models, survival analysis, SEM, ...). Do you need to be accompanied to motivate you? I offer lessons to see or review together a chapter, a theme or others ... During these remediation sessions, I offer you various activities (Q&A sessions, resolution of standard exams, revision of concepts more difficult to integrate, etc.) which help students to fill in the gaps identified in previous courses. Passionate about mathematics and quantum physics, juggles with statistics on a daily basis in my BIGDATA research work, demystifies this test by the precise approach of the subjects via an adapted teaching whose key words - study methodology, - reasoning, and especially learning to reason differently - analysis and response strategies, - targeting of the problem - implementation of the link between theory and practice
Statistics
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Juan - ChileC$27
C$27Statistics and Probability classes at all levels
Trusted teacher: I have a degree in Statistics and have more than 10 years of experience as a teacher. I have experience in Civil Aviation, Banking, Technology and the Education Sector. I have worked on Statistical Information Systems implementation projects. What can I teach you? Consulting in data analysis and processing for assignments, theses, academic tests, exams, and homework. Topics: *Descriptive statistics: Mean, Mode, Variance, Standard Deviation, Statistical Graphs *Probabilities: Probability calculation, Continuous and discrete probability distributions (Normal, Binomial, Poisson, Gamma, Uniform, etc.) *Inferential statistics: Point estimates and confidence intervals, Hypothesis testing *Database management: SQL *Data analysis *Linear and non-linear models *Supervised and unsupervised learning (Machine Learning): Logistic regression, Kmeans, Clustering, Neural Networks, Decision trees) *Data mining *Text mining *Sampling: Selection of samples *Design of experiments What programs do I use? *R *Python *SPSS *Minitab *Orange *RapidMiner *SQL *Power BI *Canva Where do I teach my classes? Online classes via Zoom Online classes via Teams Online classes via Google Meets Languages in which I can give you classes: *Spanish *English *Portuguese My methodology: *Practical, simple and easy to learn classes. *I adapt my classes to the student's learning style, the guides and materials available to the student. *I use digital whiteboards to teach my classes. *Interactive classes. *Theoretical and practical classes. *Management of subject content, extensive experience in exams. *I can give you tips on the topics and problem solving. In addition to statistics, I can also help you with: *Mathematics and Calculus (Derivatives, Integrals, Limit Calculations, etc.) *Econometrics *Macroeconomy *Microeconomics *Algebra *Operations research *Linear programming *English *Document translation
Statistics · Math
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(1 review)
Layane - Montreal, QC, CanadaC$25
C$25Mathematics Tutor (ALL LEVELS~ Highschool To Masters )
Trusted teacher: Mon objectif est de préparer les étudiants à une compréhension profonde des sujets qu'ils veulent améliorer en résolvant les exercices ensemble, en assignant des devoirs, et en expliquant le contexte de la vie réelle autour des problèmes mathématiques pour motiver l'étudiant. Les mathématiques sont le langage de l'univers et, comme pour tout autre langage, il faut pratiquer, pratiquer et pratiquer. Je pense que n'importe qui, avec suffisamment de pratique, peut maîtriser les mathématiques. J'enseigne les mathématiques au niveau du lycée (de la 6e à la 12e année), au niveau de la licence et au niveau de la maîtrise pour les programmes d'ingénierie. J'ai de l'expérience dans l'enseignement de différentes matières, notamment - Algèbre - Géométrie/Trigonométrie - Topologie - Equations différentielles - Algèbre linéaire - Calcul numérique - Algèbre linéaire numérique - Analyse - Théorie des probabilités et statistiques Méthodologie d'enseignement : 1 - Je fais connaissance avec l'étudiant et ce qu'il espère obtenir des cours. 2 - Après environ 2 séances, je me suis familiarisé avec la façon de pensé de l'étudiant, ses points faibles et ses points forts. Chaque élève a une façon unique de penser et de traiter l'information, et en fonction de cela, les leçons sont personnalisées pour répondre à leurs besoins respectifs. Note : Préparez vos notes de cours ou votre matériel de conférence et envoyez-les avant nos sessions !
Statistics · Calculus · Math
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Our students from Paralímni evaluate their Statistics teacher.

To ensure the quality of our Statistics teachers, we ask our students from Paralímni to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.6 out of 5 based on 34 reviews.

Programming and Data Analysis, Matlab, Python, Fortran, SPSS
Nikolaos
Nikolas is a very depentable tutor with an abudant amount of knowledge in programming. He was very helpful in preparing me for my programming exam and I higly recommend him!
Review by KYRIAKOS
MATHEMATICS & STATISTICS TUTORING FOR ALL AGES AND EXAMINING BOARDS (Limassol)
Anthoulla
Anthoulla was able to establish a good trustful contact with the child. Her explanations are simple and understandable. We are very satisfied so far.
Review by VICTOR
Mathematics Tutor (ALL LEVELS~ Highschool To Masters ) (Neukölln)
Layane
Layane is patient, competent, and professional. Our child looks forward to her lessons.
Review by JOEL

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