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Results for babysitting or tutor in "babysitting or tutor" in Rosebank in Rosebank
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Hi.I am offering account turoring sessions for all levels online. This could be for High School students all the way to University. Currently I can only offer online tutoring since I am located in Germany. I am a fully qualified Chartered Accountant (CA)SA with 10 years of experience. I have worked in high level accounting accross the USA, Luxembourg Germany and South Africa, helping a wide range of clients with complex accounting needs.
14d
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Dear Family: I am excited to apply for the (aupair) and Baby sitting position with your family! I'm passionate about working with kids, and I have experience, caring for the little ones.I am responsible/loving, and a great role model.Abd I am eager to support your family's needs. I will bring creativity/energy/and a loving touch to your home. I am confident in provide exceptional care, light housekeeping and fun activities tailored to your kids needs.Lets chat how ican support your family. Please contact me direct to My number : (07) 10265747.email address is: sindymo33@gmail.com
2d
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Au Pair Needed in Rosebank area, R8000/month, Monday to Friday: 15:00 - 18:00, to look after 17yr old girl. (Au Pair SA Family # 60336).
Requirements:
- Own reliable car (not shared)
- Age 23-60yrs
TO APPLY: Please create an Au Pair SA profile - www.aupairsa.co.za - creating a profile is quick and easy, and the service is 100% free for au pairs.
Au Pair SA is South Africas most popular au pair service, with over 60,000 family profiles created to date.Salary: R8000Job Reference #: 60336Consultant Name: Michael Longano
7d
Au Pair SA
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Au Pair Needed in Rosebank area, R10000/month, Monday to Friday: 14:00 - 18:00, to look after 12yr old boy and 11yr old girl. (Au Pair SA Family # 57124).
Requirements:
- Own reliable car (not shared)
- Age 21-60yrs
- Afrikaans-speaking
Additional Info:
- Assist with homework
TO APPLY: Please create an Au Pair SA profile - www.aupairsa.co.za - creating a profile is quick and easy, and the service is 100% free for au pairs.
Au Pair SA is South Africas most popular au pair service, with over 55,000 family profiles created to date.Salary: R10000Job Reference #: 57124Consultant Name: Michael Longano
1mo
Au Pair SA
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Au Pair Needed in Houghton Estate area, R6000/month, Monday to Thursday: 14:00 - 17:00, Friday: 13:00 - 15:00, to look after 12yr old girl and 9yr old boy. (Au Pair SA Family # 36651).
Requirements:
- Own reliable car (not shared)
- Age 21-35yrs
TO APPLY: Please create an Au Pair SA profile - www.aupairsa.co.za - creating a profile is quick and easy, and the service is 100% free for au pairs.
Au Pair SA is South Africas most popular au pair service, with over 60,000 family profiles created to date.Salary: R6000Job Reference #: 36651Consultant Name: Michael Longano
11d
Au Pair SA
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For your chapter 4/5 thesis or research paper. Experienced STATISTICIAN/RESEARCHER and PHD Finalist with 15 plus years’ experience in quantitative analysis. I am providing the following quantitative analysis and modelling expertise;1. Proposal development including study design and sampling;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). Turnaround time for analysis, interpretation and write up: In a space of 5 days;If you need to self-tutor STATA, you can get a STATA version 15-30-day trial
4y
For your chapter 4 thesis or research paper. Experienced STATISTICIAN/RESEARCHER and PHD Finalist with 10 plus years’ experience in quantitative analysis. Longitudinal and cross section data analysis methodologies. I have vast experience in large household surveys around SADC countries, have analysed and presented for the African Union as a PhD and independent consultant. For thesis, analysis and interpretation, I also coach through the analysis and interpretation (for ownership). In my part time I am provide the following expertise;
i. Univariate analysis: Frequencies (prevalence’s-epi studies), tables and graphs
ii. Bivariate analysis-correlations (pairwise, tetrachloric, correlograms-in time series);
ii. Multivariate-Regression analyses which cover ordinal, count, categorical and binary outcomes. Ordinary Least Squares, Partial/Pooled effects; Factor/Principal component analysis;
iii. Hypothesis testing -parametric tests e.g. paired t-tests, and non-parametric tests (e.g. Wilcoxon sign rank)
iv. For Likert scale data-normality tests (Wilk Shapiro tests, skewness, kurtosis)
iv. Pathway Analysis and Structural Equation Modelling (SEM), and its post estimation results
v. Time series: Autoregressive Conditional Heteroscedastic (ARCH) and Auto Regressive Distributed Lag (ARDL) family models. Stepwise analysis which includes settimg data to time series, white noise detection (stationarity tests), Dick Fuller or PPeroni unit root tests (VAR), Vector error correction models (VEC), Granger causality tests.
v. 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 regression, interactions (log rank, and Kaplan Meier survival functions graphs).
vi. Checking multicollenearity/endogeneity-Variance Inflation Factor (VIF in STATA), or any pre model estimation. Software experience: Excel, SPSS, STATA (advanced/excellent), EPI Info (intermediate), R (intermediate), SAS (Intermediate). Turnaround time: In a space of 5 days.
If you need to self tutor STATA You can get a STATA version 15 -30 day trial on https://www.stata.com/customer-service/evaluate-stata/
3y
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