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Fast turnaround on MBA, MSc, and PhD research and dissertations.
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Stuck with Your Research or Struggling to Finish Your Thesis? Let Us Help You Cross the Finish Line.
Are you a postgraduate student drowning in deadlines, unsure where to begin—or how to move forward—with your thesis, dissertation, or assignments? You’re not alone, and more importantly, you don’t have to do it alone.
We offer expert academic support tailored specifically for MBAs, MScs, PDBAs, and PhDs. With over 20 years of combined academic and professional experience, we understand what your professors expect—and how to help you deliver it with confidence.
What We Offer:
• Personalized support for assignments, proposals, dissertations, and theses
• Clear explanations so you understand the what, why, and how of every step
• In-depth literature reviews, survey design, and online questionnaires
• Data analysis (both descriptive and inferential) with beautiful charts and visualizations
• Full coverage of MBA and MSc topics:
• Finance & Investment
• Real Estate & Property Studies
• Economics & Econometrics
• Human Resources
• Marketing & Strategy
• Quantitative Methods & Statistics
• Biological Sciences, and more
We’re flexible, confidential, and committed to helping you own your work. If you’re available, we’ll even meet with you to walk you through the work—so you can defend it with pride.
Affordable. Professional. Deadline-Smart.
We work within your budget and adjust our fees based on your needs. Whether you’re weeks behind or just want to get ahead, we’ll make sure you get there—on time and stress-free.
WhatsApp us now at 076 118 6460
Or email ijasank@yahoo.com
You’ve come too far to give up now. Let’s finish this—together
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Kola Clement
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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
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Chris Manyamba
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