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Statistics lessons in Yaoundé

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1 statistics teacher in Yaoundé

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1 statistics teacher in Yaoundé

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
(1 review)
Amine - Paris, France£36
Trusted teacher: 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.
Statistics · Numerical analysis · Economics for students
Έχω διδάξει στις Ηνωμένες Πολιτείες (2 χρόνια), την Κίνα (3 χρόνια) και τη Νότια Αφρική (2 χρόνια). Πολλοί από τους μαθητές μου έχουν αποκτήσει διδακτορικό στα μαθήματα STEM σε κορυφαία Πανεπιστήμια της Δύσης. Οι γνώσεις μου στα μαθηματικά είναι καλύτερες από οποιονδήποτε άλλον. Κανένας άλλος εκπαιδευτικός μαθηματικών (είτε καθηγητής, δάσκαλος ή μαθητής) δεν έχει τις γνώσεις, τις ικανότητες ή το εξαιρετικό IQ μου (πάνω από 160). Δεν υπάρχει άνθρωπος που δεν μπορεί να κάνει μαθηματικά, μόνο κακοί εκπαιδευτικοί μαθηματικών που δεν μπορούν να διδάξουν. Όταν χρησιμοποιείς καλά διαμορφωμένες έννοιες, οποιοσδήποτε άνθρωπος μπορεί να κατανοήσει και να κυριαρχήσει στα μαθηματικά, και ναι, να το απολαύσει κι αυτό! Σας δείχνω τα ελαττώματα στη γενική σκέψη. I have taught in the United States (2 years), China (3 years), and South Africa (2 years). Many of my students have obtained Phds in STEM courses at top Western Universities. My knowledge of mathematics is second to none. No other mathematics educator (whether professor, teacher or student) has my knowledge, ability or exceptional IQ (above 160). There is no such thing as a human who cannot do mathematics, only bad mathematics educators who cannot teach. When using well-formed concepts, any human can understand and master mathematics, and yes, enjoy it too! I show you the FLAWS in mainstream thinking.
Math · Statistics · Calculus
With an M.Phil. in Statistics and over 10 years of teaching experience, I specialize in guiding students through the complexities of statistics. My lessons are tailored for those studying both minor and major courses in statistics, ensuring you gain a strong grasp of key concepts like probability, regression, correlation, and data analysis. My expertise covers a wide array of fields, including psychology, zoology, botany, economics, business, and nursing, making my instruction relevant to diverse academic and professional interests. Who Can Benefit: This tutoring service is ideal for school-level to undergraduate students, including those taking AP Statistics or any other statistics courses. Whether you're looking to excel in a minor or major in statistics, my approach is designed to meet your specific needs. Teaching Method and Techniques: I demystify statistics by using real-world examples and interactive exercises. Each lesson is tailored to your learning style and involves practical experience with SPSS and R, ensuring you not only understand the theory but also know how to apply it. Typical Lesson Plan: Overview: Clear introduction to lesson goals, focusing on the core statistical concepts relevant to your course. Concepts: Simplified explanations with real-life examples to make abstract ideas more relatable. Practice: Hands-on exercises using SPSS and R to solidify your understanding. Discussion: Q&A sessions to clarify any doubts and deepen your comprehension. Recap: A summary of key takeaways and additional resources for further exploration. What Sets Me Apart: Expertise: Advanced qualifications in statistics with practical teaching experience. Practical Skills: Emphasis on real-world applications and mastery of SPSS and R, catering to both minor and major statistical needs. Engaging: An interactive and personalized approach to learning that keeps you engaged and motivated to succeed.
Statistics · Math · English
I am an associate professor of mathematics, graduated from École Normale Supérieure and hold a doctorate in mathematics, with more than 22 years of teaching experience. Specializing in probability, statistics, data science, econometrics, optimization, and numerical analysis, I offer detailed private lessons adapted to your specific needs. Whether you are a student in preparatory classes, a bachelor's degree, a master's degree, an engineering school, or even a doctorate, I can help you master these complex and crucial areas. My commitment to teaching stems from my passion for applied mathematics and its essential role in data-driven decision-making. I believe that understanding probability, statistics, and data science techniques is crucial in our data-driven world. My goal is to make these materials accessible and fascinating, showing how they can be applied to solve real, complex problems. I am a patient, methodical and passionate teacher, with a student-centered teaching approach. My courses are designed to be interactive and engaging, using real-world examples, hands-on exercises, and real-world projects. I offer personalized support and adapt to the needs and goals of each student. My courses include: - **Fundamental Theories**: Detailed explanations of basic concepts in probability, statistics, and econometrics. - **Practical Applications**: Projects and case studies in data science and operational research. - **R software**: In-depth use for data analysis, visualization, statistical modeling, and optimization. **Skill Area Details:** - **Probabilities**: - Laws of probability - Random variables and their distributions - Probability theorems - Stochastic processes - **Statistics** : - Descriptive statistics - Statistical inference - Hypothesis testing - Linear and multiple regressions - Multivariate analyzes - **Data Science**: - Data preparation and cleaning - Data exploration and visualization - Predictive modeling techniques - Machine learning algorithms - **Econometrics**: - Econometric models - Time series - Analysis of data panels - Advanced regression models - **Optimization**: - Linear and non-linear optimization - Mathematical programming - Operational research - Heuristic and metaheuristic techniques - **Numerical analysis** : - Numerical methods for solving equations - Interpolation and approximation - Monte Carlo methods - Numerical simulation - **R software**: - Data import and manipulation - Advanced visualization (ggplot2) - Statistical modeling (lm, glm) - Specialized packages (dplyr, caret, forecast, etc.) **Writing End of Study Memoirs:** I also offer comprehensive assistance in writing final dissertations. Whether it is to structure your work, perform statistical analyses, or write specific sections, I am here to guide you and help you produce a high-quality dissertation. **Contact me :** If you are interested in private lessons in probability, statistics, data science, econometrics, optimization, numerical analysis, or to get help with writing your final dissertation, do not hesitate to contact me. I would be happy to discuss your needs and how I can help you achieve your academic and professional goals. I look forward to helping you excel in these fascinating fields and showing you how probability, statistics, econometrics, data science, and optimization can transform your understanding and use of data.
Statistics
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 25 reviews.

Data science , Analytics, Machin learning, statistics
Srinivas
Srinivas is a skilled tutor. He is patient and has a problem-solving attitude. Shriniva's goal is that students master the subject. An excellent tutor for someone that wants to work hard and become independant user.
Review by IFI
Statistics, Econometrics (including calibration of models on real data) (Adliswil)
Gianmarco
Gianmarco helped me understand and solve my problems in a friendly, quick and clear manner. He displayed a thorough understanding of the topic. I very much appreciate him as a teacher and can recommend him to anyone.
Review by CHRISTINA
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