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Discover the Best Private Statistics Classes in Sofia

For over a decade, our private Statistics tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in Sofia, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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Trusted teacher: Statistical engineer with more than 7 years of experience in teaching, advisory and consulting offers assistance in all kinds of issues related to statistics or data modeling. The assistance mode is 100% online and the software to be used can be R (expert level), powerBI, gretl, sql, stata, spss and excel. Professionally, working for a multinational consulting firm, I have developed statistical models for several of the main financial institutions in Latin America, corresponding to the banking, retail, factoring, leasing, and insurance sectors, among others. On the other hand, as an independent consultant I have developed projects for all types of areas, such as the pharmaceutical industry, mining, medicine, architecture, forestry, etc. In addition, I have worked for two universities teaching mathematics and statistics subjects. Finally, it is important to highlight that quality, responsibility and respect are guaranteed in each class or required work. Accompanied by an effective teaching method, based on theoretical and practical knowledge, including real examples of applicability in the workplace. Regarding the value of the service, this will be agreed upon jointly and will depend on the advice or class to be carried out. Best regards Other sources: Statistics, Probability, Inference, Econometrics, Linear models, Nonparametric methods, Sampling, Data analysis, Time series, Experimental design, Multivariate analysis, Data mining, Quantitative methods, Biostatistics, Geostatistics, Credit risk, Risk Operational, Business Intelligence, Machine Learning, R Programming, Rstudio, R project.
Statistics
Trusted teacher: Do you need help in mathematics, statistics, probability theory, or econometrics? I'm a qualified teacher specializing in math, science, econometrics, and programming. I hold 3 university diplomas. Bachelor of Science in Finance (from a top 50 university in the world) Bachelor of Science in Econometrics and Operations Research (from the University of Groningen) Master of Science in Quantitative Finance (from a top 10 university in the world, ETH Zürich (Swiss Federal Institute of Technology in Zurich), on par with the University of Cambridge or University of Oxford) I offer help with your homework, and exam preparation in math, econometrics, and finance. Not only do I explain to you how to solve the problems in simple words, but also tell you the general way to solve problems of a kind. Therefore you'll be able to solve similar problems independently next time. Audience: Students in primary school, high school, and university (bachelor/master's level), all ages are welcome. Schedule: Flexible, upon agreement. Example: (1) Regular courses: courses on a regular basis as an auxiliary tool to catch up with the lectures in the school, or university; (2) Intensive courses: intensive courses with a long time aiming to prepare for the exam. Examples of the scope of the courses I offer (not exhaustive): Mathematics: Algebra, Arithmetic, Calculus, Probability Theory, Geometry, Trigonometry, Series and Sequences, Linear Programming, Statistics, Stochastic Processes, Stochastic Calculus, Derivative, Ordinary Differential Equations (ODEs), Partial Differential Equations (PDEs), Covariance and Correlation Matrix, etc. Econometrics: Time Series Analysis, Econometrics, Statistical Inference, etc. (any course in your Econometrics degree study) Please let me know if I can help :D
Math · Economics for students · Statistics
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
Trusted teacher: Welcome to the Research Methodology Course: Theory and Practical Applications! Embark on a comprehensive journey that combines the foundational theories of research methodology with hands-on practical applications. Whether you're a novice researcher or seeking to enhance your research skills, this course is designed to provide you with a holistic understanding of the research process. Course Highlights: * Theoretical Foundations: Explore the fundamental theories that underpin effective research methodology. Understand the philosophies, paradigms, and ethical considerations that guide robust research. * Practical Applications: Dive into the practical side of research with real-world examples and exercises. Develop essential skills in research design, data collection, analysis, and interpretation. * Hands-On Experience: Gain practical experience through research projects, case studies, and interactive activities. Apply theoretical knowledge in real scenarios to reinforce your understanding. * Statistical Techniques: Learn key statistical methods essential for data analysis in research. From basic descriptive statistics to advanced inferential techniques, equip yourself with the tools to derive meaningful insights. * Effective Communication: Master the art of presenting research findings. Enhance your ability to communicate complex research concepts and results to diverse audiences. * Paper Review Sessions: Engage in dedicated paper review sessions, where you will assess and be assessed by your peers. Develop the skill of providing constructive feedback and refining your own work through the valuable insights of others. Who Should Attend: - Students pursuing research projects - Professionals seeking to enhance research skills - Anyone interested in a comprehensive understanding of research methodology Course Format: - Interactive lectures - Practical workshops - Group discussions - Real-world case studies Enrollment Process: - Express Your Interest: Reach out to us to express your interest in the course. - Consultation: Schedule a consultation to discuss your specific learning goals and expectations. - Tailored Learning Plan: Receive a personalized learning plan based on your background and objectives. - Commence Your Journey: Join us in unlocking the world of research methodology, where theory meets practice. Elevate your research capabilities and embark on a journey towards becoming a proficient researcher. Contact us today to start your learning adventure!
Statistics · Methodology course
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Our students from Sofia evaluate their Statistics teacher.

To ensure the quality of our Statistics teachers, we ask our students from Sofia to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.5 out of 5 based on 35 reviews.

Programming and Data Analysis, Matlab, Python, Fortran, SPSS
Nikolaos
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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
Statistics, Econometrics and Data science - Programming with R & Python, Stata (Paris)
Zakarya
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An amazing tutor, put a lot of time and effort into preparing material both before and even after the lesson. Clear explanations and extremely helpful in all aspects.
Review by MELAF
Uni Mathe, A-Levels, Matura etc., by a Cambridge Grad (Vienna)
Volodymyr
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Very good teacher, attentive and systematic. My son understood a lot from the lesson and it was very helpful for the IB programme.
Review by IULIA
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