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Tatiana's Piano and Music Theory teacher

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Hello everyone!I’m Tatiana, and my musical journey began at the tender age of six when I first laid my hands on the piano keys. As a young prodigy, I auditioned and was accepted into a prestigious music school for gifted children at the age of thirteen. During my four years there, I had the incredible opportunity to perform with the Novosibirsk Symphony Orchestra, showcasing my skills as a soloist, chamber musician, and accompanist.At the age of fifteen, I achieved a remarkable feat by winning the Siberian and Far East Piano Competition, marking the start of a series of victories in prestigious competitions and earning accolades throughout my career. My thirst for knowledge and music led me to the renowned Nizhny Novgorod Conservatory in Russia, where I honed my talents and graduated as a concert pianist, accompanist, chamber ensemble musician, and piano teacher.My musical journey didn’t stop there. I ventured to South Africa in 2005, where I graced audiences with numerous solo concerts and piano duets across the country and in Zimbabwe. As an educator, I’ve cultivated a reputation for excellence, and my students consistently achieve remarkable results in exams and National Eisteddfods. Trinity College of London has recognized me as one of Johannesburg’s top piano teachers, and I had the honor of consulting with them on various exam-related matters, from sight-reading to selecting exam pieces for their international books.When students study with me, they gain a comprehensive understanding of music, covering ear training, sight-reading, technique, theory, and practical skills. From grade one to university entrance, I offer guidance and support to nurture their musical journey. I am a dedicated teacher, committed wholeheartedly to my students’ success, often going above and beyond to ensure their growth.I firmly believe that with persistence, hard work, and the active participation and support of parents, every child can achieve a high standard of playing. Currently residing in Bosnia and Herzegovina, I’m eager to welcome a few more students for online lessons. I continue to prepare students for International Piano and Theory of Music examinations via Skype, recommending two lessons per week to cover both piano and musical knowledge, including theory, sight-reading, aural training, and more.If you’re ready to embark on a musical journey of growth and excellence, please feel free to reach out to me at dolce_40@yahoo.com.Warm regards,Tatiana

19d

Morningside

Statistics And Econometrics Expert For Your Thesis, Ardl Models

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Certificated Natural Scientist. Statistical Science. The South African Council for Natural Scientific Professions Registration No. 129447https://www.sacnasp.org.za/scientists?q=&province=&field_id=&page=342In my part time I analyse, interpret and write up chapter 4/5 thesis, in 3-5 days. I am an experienced STATISTICIAN/RESEARCHER and PHD Finalist (University of Pretoria), with 15 plus years’ experience in quantitative analysis. My experience is specifically on cross sectional and longitudinal research (econometric models and survival models) processes. I have also supervised Masters thesis. My profiles online for morehttps://www.linkedin.com/in/christopher-manyamba-04490713/http://oasis.col.org/handle/11599/3934?show=fullhttps://www.up.ac.za/news/post_1722144-up-student-wins-fellowship-to-study-womens-empowerment-indexhttps://researchspace.ukzn.ac.za/handle/10413/88221. Proposal development: Intro, Literature review, Methodology (study design, approach, sampling, reliability, ethical issues)2. Univariate analysis: Frequencies. Means and std deviations for continuous data, tables and graphs;3. Bivariate analysis: pairwise correlation, Spearman’s for non-parametric and Pearson’s for normally distributed data;4. For Likert scale data, reliability (Cronbach’s alpha) and normality tests (Wilk Shapiro tests, skewness, kurtosis);5. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank, Kruskal Wallis);6. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares (OLS), Partial/Pooled effects; Factor/Principal component analysis;7. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results8. Time-series, Econometric Models: Autoregressive Conditional Heteroscedastic (ARCH) and Auto-Regressive Distributed Lag (ARDL) family models. The stepwise analysis includes setting data to time series, white noise detection (stationarity tests), Dick Fuller or P-Peroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests;9. Survival analysis (epidemiological): Includes setting data to survival, run descriptive stats with survival analysis family of analysis. Survival analysis: Censoring, prevalence and incident rates, regression models e.g. Cox proportionate regression, interactions (log-rank, and Kaplan Meier survival functions graphs);10. Checking multicollinearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre-model estimation;11. Software experience: Excel, SPSS, STATA EViews (advanced/excellent), EPI Info (intermediate), R (intermediate), SAS (Intermediate). If you need to self-tutor STATA, you can get a STATA version 15-30-day trialWhattsapp 0732177216

3mo

Morningside

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