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Results for statistician in "statistician" in South Africa in South Africa
1
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Key Responsibilities:Provide statistical advice for the design of clinical trials and different types of observational studies and contribute to protocols and grant applicationsThe ability to undertake projects in Biostatistical methodology and applied Biostatistical research; or being a co-investigator or study statistician in health-related projectDetermine and undertake appropriate analysis of clinical trials, observational studies and de-identified routine health records data and record statistical analysis code in a reproducible format.Write-up study design, sample size, statistical analysis plans and study analysis resultsPrepare routine and adhoc study reports and contribute to presentations and publicationsMinimum Requirements: Masters or Honours degree in Biostatistics, Statistics or a related quantitative discipline (with undergraduate in a related quantitative discipline) 4 years of research and statistical analysis experienceSAS, R, STATA or another statistical analysis programme essentialBasic knowledge of clinical research and epidemiologyHigh level of computer literacy in MS office (Word, Advanced Excel and Outlook)Experience analysing clinical trial data or longitudinal data would be advantageousPersonal Qualities and Competencies:Exceptional organizational and problem-solving skillsAnalytical ability with high attention to detailAble to work under pressure in a changing environmentAbility to work independently and fit in well within a multi-disciplinary teamAbility to communicate statistical concepts to non-statisticiansManaging time and work/deadline drivenExcellent written, verbal communication skills and interpersonal skills
https://www.jobplacements.com/Jobs/S/Statistician-1253179-Job-Search-01-19-2026-00-00-00-AM.asp?sid=gumtree
13h
Job Placements
1
We provide professional statistical consulting services, including data collection, sample design, survey design, and statistical analysis. With over 15 years of experience, we have worked locally and internationally as statisticians, including in the USA and Saudi Arabia (KSA).
Our team is US-trained in Data Science (MS) and holds a PhD from the University of Cape Town (UCT). We support businesses, researchers, and institutions with scientifically rigorous, practical, and cost-effective data solutions.
8d
Eastern Pretoria4
Experienced Statistician available for for all Research Projects 0612943587 up to Masters |& PHD level. I provide services for Masters level, PHD Level and Undergraduates - MBA, DBA, PHD, MCOM, Engineering, PGCE, from Research title selection , Research proposal writing , Literature review, Conceptual framework and Theoretical framework, Research methodology writing, Quantitative data analysis ( SPSS, MATLAB, E-VIEWS, STATA)Qualitative data analysis ( Thematic analysis , N-VIVO, ATLASI)Results interpretation Conclusion , Recommendations, Limitation of the study writingProofreadingTechnical editing ParaphrasingI have worked with students from but not limited to:TUTUJMANCOSAUniversity of CumbriaWits University University of PretoriaStellenbosch UniversityRegent School of BusinessUNISAMy work is strictly confidential , passing is guaranteed with proven reference and AI free.
4d
1
Main purpose of the job:The post-holder will be responsible for overall management and coordination of an observational study and a multisite phase 3 randomised clinical trial of antifungal treatment for candidemia (COMBAT Candida), which will take place at 5 hospital sites in JohannesburgAs a member of the trial management group in South Africa, they will work closely with the project co-ordinator, co-investigators, trial epidemiologist and statisticians in the UK, the site investigators and study coordinators at the study sites, the laboratory scientists, lead clinician, data management and administration team at Wits MycologyThe applicant will be expected to be based full-time at the coordinating site in Johannesburg for the duration of study recruitmentLocation:1 Modderfontein Road, Sandringham, JohannesburgKey performance areas:Day to day management of the phase 3 clinical trial and ensuring compliance with the study protocol and international standards of Good Clinical Practice (GCP)Coordinating applications to ethical and regulatory bodiesPerform site visits for trial set up and initiation, regular monitoring visits during patient recruitment, and close out visits on trial completionOrganising and facilitating meetings and assisting with communications, including Trial Management Group, Trial Steering Committee, Investigator, and Data Monitoring Committee meetingsLiaising with study sites, the data management team, and study epidemiologists and statisticians to ensure follow-up information is kept up-to-date, accurately completed and that loss of patient data is preventedEnsure that all trial adverse events are appropriately investigated by the study staff and accurately reported to the principal investigatorsMaintaining liaison with partner institutions and fundersTo assist with organisation and coordination of related projects and funding applications where necessary, to procure required trial consumables and monitor the trial budgetTo assist the chief and co-investigators with preparation of trial materials including updated protocol, consent, patient information, case record and adverse event forms and standard operating procedures for trial sitesTo visit hospital sites for purpose of trial set-up and initiation, and monitoring, and co-ordinate and promote communication between the centres and the trial coordinating centre, allowing early recognition and resolution of any difficultiesTo prepare research progress and monitoring reports for, organise and minute regular meetings with the Trial Management Group, Trial Steering Committee and Data Monitoring CommitteeTo organise meetings, as necessary, with study team members and collaborators, including programmes, accommodation, travel, venues and social eventshttps://www.executiveplacements.com/Jobs/C/Clinical-Trial-Operations-Manager-WHC-1195557-Job-Search-06-18-2025-10-35-58-AM.asp?sid=gumtree
7mo
Executive Placements
1
SavedSave
***Please leave your contact details if you want me to contact you****I offer private tutoring services in Statistics to students in need and data analysis for those are doing research, Hons, Masters or Doctorate.I am an experienced statistician with a proven track record in data analysis, modelling and interpretation. I have proficiency in various statistical software and techniques such as MS Excel, Statistica, Mathematica, R, STATA, SPSS and SAS and capable of adapting to any other statistical software. I have been assisting students from universities like UCT, Wits, Nelson Mandela University, UNISA, UKZN and other institutions like iNTEC college, MANCOSA etc.For one-on-one or group tutoring sessions, please contact me on 072 446 6659 (also on WhatsApp) and edmund.ahame@gmail.com. Edmund Ahame. BSc (Mathematics & Computer Science), MUK. BSc Hons (Mathematical Statistics) with Distinction and MSc (Mathematical Statistics), Nelson Mandela University, Port Elizabeth. Thank you
12d
City Centre1
Our team of research-level statistical analysts supports a range of organisations and individuals in their academic research including universities, research organisations, clinicians, economists, scientists and social scientists.
1mo
City Centre1
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***Please leave your contact details if you want me to contact you****I offer private tutoring services in Statistics to students in need and data analysis for those are doing research, Hons, Masters or Doctorate.I am an experienced statistician with a proven track record in data analysis, modelling and interpretation. I have proficiency in various statistical software and techniques such as MS Excel, Statistica, Mathematica, R, STATA, SPSS and SAS and capable of adapting to any other statistical software. I have been assisting students from universities like UCT, Wits, Nelson Mandela University, UNISA, UKZN and other institutions like iNTEC college, MANCOSA etc.For one-on-one or group tutoring sessions, please contact me on 072 446 6659 (also on WhatsApp) and edmund.ahame@gmail.com. Edmund Ahame. BSc (Mathematics & Computer Science), MUK. BSc Hons (Mathematical Statistics) with Distinction and MSc (Mathematical Statistics), Nelson Mandela University, Port Elizabeth. Thank you
1mo
Bhisho1
The validity of the statistical methods you use to collect, analyse and report data from academic studies and research projects can be critical. Working with trusted statistical experts can increase the level of trust in your findings, and enable you to submit your work to high impact academic journals with confidence.
2mo
Rosebank1
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Advice at an early stage ensures that your research project starts on a sound footing. You will be confident that you are collecting the right data in a usable format and have a clear understanding of how you are going to analyse them from the outset of your project. A well-designed project will reduce the risk of introducing biases into the data or large levels of uncertainty into the results.
3mo
Barberton1
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Work with data experts in Python, SPSS, SAS, and Tableau for fast, accurate insights.
16d
East London1
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The validity of the statistical methods you use to collect, analyse and report data from academic studies and research projects can be critical. Working with trusted statistical experts can increase the level of trust in your findings, and enable you to submit your work to high impact academic journals with confidence.
3mo
Inner City / CBD&Bruma9
We turn complex data into clear results. Are you a busy professional,
postgraduate student or researcher drowning in data? Our team of expert statisticians,
econometricians, mathematicians and writers specialise in preparing, analysing,
and presenting your data — so your research, reports and decisions are backed
by accuracy and insight.
Quantitative Analysis Services
We take your numbers further by offering:
Data
cleaning & database mergingPreparing
SPSS data files for all scales (nominal, ordinal, interval, ratio)Reliability
testing (Cronbach’s Alpha) & normality checks (Kolmogorov-Smirnov)Hypothesis
testing (ANOVA, t-tests, Mann-Whitney, Kruskal-Wallis, etc.)Correlation
analyses (Pearson, Kendal, Spearman, Fisher’s exact test, Phi, Cramer’s V)Regression
models (linear, binary logistic, multinomial logistic)Advanced
computational modelling (e.g. Factor analysis, KNN, Implicit Association Test, custom analyses)Comprehensive,
easy-to-read reports with clear interpretations
Qualitative Analysis Service
Bring meaning to your data with:
Thematic
& content analysis of responses.Clear
structuring of findings for strong conclusions.Presentation-ready
visuals (graphics, charts, and tables)
Why Choose Us?
✔ Fast, reliable, and accurate results.
✔ Experts with doctoral-level experience.
✔ Professional reports that make
sense of your data.
✔ Tailored support for dissertations,
research projects, and other academic needs.
Get your data analysed the right way — first time.
Contact us today:
Tel: (+27) 021 527 0029
Email: info(@)royaa.co.za
WhatsApp: (+27) 063 854 5466
3mo
Midrand9
We offer services to assist with your education and research projects, such
as research assistance, consultation, and writing services (proofreading,
editing, etc.). We also have a team of statisticians and data analysts for performing
publication-level quantitative and qualitative data analysis tasks.
For postgraduate university students, we also offer literature research, data
analysis, document formatting, and editing services.
Contact us at info (at) royaa.co.za if you need experienced researchers to
assist you with your research projects.
5mo
Century City7
Our company is here to assist busy professionals, organisations, postgraduate
students, and others who may need help with data analysis and report writing services.
Our team of statisticians, econometrics specialists and mathematicians can
assist you with all of your data analysis requirements, to analyse both
qualitative and quantitative data. In Quantitative studies, we offer analytical
techniques such as:
1. Converting your data
into numeric form where necessary;
2. Merging all your data
into databases;
3. Preparing SPSS data
files for analysis of nominal, ordinal, interval or ratio data;
4. Running reliability
analysis (Cronbach's Alpha) and tests for normality (Kolmogorov-Smirnov), where
necessary;
5. Running ANOVA,
Mann-Whitney U Test, Kruskal-Wallis ANOVA, or t-test where required on the
data.
6. Running Correlation
analyses (Pearson’s Correlation Coefficient, Kendall’s Tau, Spearman’s Rho),
Fisher’s exact test, Phi and Cramer’s V, where suitable, to observe whether
correlations exist between the data.
7. Performing linear,
binary logistic or multinomial logistic regression, where required, to observe
whether predictions can be inferred on dependent variables in relation to the
independent variables from your data set.
8. Performing other computational
modelling analyses and tests, as requested. E.g. Implicit Association Test
(IAT), etc.
9. Writing descriptive reports
presenting an interpretation of your results.
In Qualitative studies, we offer the following:
1. Collating the findings of
your study in a logical format, through the processes of content
analysis/thematic analysis, to allow clear deductions to be drawn from your
respondents' comments. This includes analysis of all qualitative responses.
2. Presentation of the
results from the data analyses in the form of graphs, charts, tables and other
relevant illustrations.
Give us a call to have your data prepared, analysed and interpreted swiftly
and accurately by our team of pros. Contact us:
Tel: (+2721) 527 0029
Email: info (at) royaa.co.za.
4mo
Century CitySavedSave
As an experienced statistician and PhD finalist with over 15 years of expertise in quantitative analysis, I offer comprehensive services for Chapter 4/5 of your thesis or research paper. My advanced skills encompass a wide range of statistical techniques and methodologies, as outlined below:1. Proposal DevelopmentStudy Design & Sampling: Expertise in developing research proposals, including designing robust study frameworks and determining appropriate sampling methods to ensure reliable and valid results.2. Univariate AnalysisData Description: Conduct detailed analyses including frequencies, means, and standard deviations for continuous data. Proficient in creating tables and graphs for clear and effective data presentation.3. Bivariate AnalysisCorrelation Analysis: Skilled in performing pairwise correlation analyses, including Spearman’s rank correlation for non-parametric data and Pearson’s correlation for normally distributed data.4. Likert Scale Data AnalysisReliability & Normality Tests: Expertise in assessing reliability using Cronbach’s alpha, and performing normality tests such as the Wilk-Shapiro test, skewness, and kurtosis analysis.5. Hypothesis TestingParametric & Non-Parametric Tests: Experience with a range of hypothesis tests including paired t-tests for parametric data, and Wilcoxon sign-rank tests and Kruskal-Wallis tests for non-parametric data.6. Multivariate AnalysisRegression Models: Advanced skills in conducting regression analyses for ordinal, count, categorical, and binary outcomes using methods such as Ordinary Least Squares (OLS), Partial/Pooled Effects, Factor Analysis, and Principal Component Analysis.7. Pathway Analysis & Structural Equation Modeling (SEM)SEM Expertise: Proficient in SEM techniques including model specification, estimation, and interpretation of post-estimation results to explore complex relationships among variables.8. Time-Series & Econometric ModelsAdvanced Econometrics: Expertise in time-series analysis and econometric models including ARCH, ARDL, stationarity tests, VAR, VEC, and Granger causality tests.9. Survival AnalysisEpidemiological Modeling: Skilled in survival analysis techniques including setting up data for survival analysis, calculating prevalence and incidence rates, and applying Cox proportional hazards regression and Kaplan-Meier survival functions.10. Multicollinearity & Endogeneity ChecksPre-Model Testing: Experienced in checking for multicollinearity using Variance Inflation Factor (VIF) in STATA, and assessing endogeneity issues to ensure the robustness of regression models.For professional support and consultation in quantitative analysis and modeling for your research needs, feel free to contact me at 0732177216
9mo
City CentreSavedSave
As an experienced statistician and PhD finalist with over 15 years of expertise in quantitative analysis, I offer comprehensive services for Chapter 4/5 of your thesis or research paper. My advanced skills encompass a wide range of statistical techniques and methodologies, as outlined below:1. Proposal DevelopmentStudy Design & Sampling: Expertise in developing research proposals, including designing robust study frameworks and determining appropriate sampling methods to ensure reliable and valid results.2. Univariate AnalysisData Description: Conduct detailed analyses including frequencies, means, and standard deviations for continuous data. Proficient in creating tables and graphs for clear and effective data presentation.3. Bivariate AnalysisCorrelation Analysis: Skilled in performing pairwise correlation analyses, including Spearman’s rank correlation for non-parametric data and Pearson’s correlation for normally distributed data.4. Likert Scale Data AnalysisReliability & Normality Tests: Expertise in assessing reliability using Cronbach’s alpha, and performing normality tests such as the Wilk-Shapiro test, skewness, and kurtosis analysis.5. Hypothesis TestingParametric & Non-Parametric Tests: Experience with a range of hypothesis tests including paired t-tests for parametric data, and Wilcoxon sign-rank tests and Kruskal-Wallis tests for non-parametric data.6. Multivariate AnalysisRegression Models: Advanced skills in conducting regression analyses for ordinal, count, categorical, and binary outcomes using methods such as Ordinary Least Squares (OLS), Partial/Pooled Effects, Factor Analysis, and Principal Component Analysis.7. Pathway Analysis & Structural Equation Modeling (SEM)SEM Expertise: Proficient in SEM techniques including model specification, estimation, and interpretation of post-estimation results to explore complex relationships among variables.8. Time-Series & Econometric ModelsAdvanced Econometrics: Expertise in time-series analysis and econometric models including ARCH, ARDL, stationarity tests, VAR, VEC, and Granger causality tests.9. Survival AnalysisEpidemiological Modeling: Skilled in survival analysis techniques including setting up data for survival analysis, calculating prevalence and incidence rates, and applying Cox proportional hazards regression and Kaplan-Meier survival functions.10. Multicollinearity & Endogeneity ChecksPre-Model Testing: Experienced in checking for multicollinearity using Variance Inflation Factor (VIF) in STATA, and assessing endogeneity issues to ensure the robustness of regression models.For professional support and consultation in quantitative analysis and modeling for your research needs, feel free to contact me at 0732177216
9mo
City CentreSavedSave
For your chapter 4 and 5 thesis chapter. Experienced STATISTICIAN/RESEARCHER and PHD Finalist with 15 plus years’ experience in quantitative analysis.
See https://www.up.ac.za/news/post_1722144-up-student-wins-fellowship-to-study-womens-empowerment-index
My Linkdin profile: https://www.linkedin.com/in/christopher-manyamba-04490713/
Also see https://researchspace.ukzn.ac.za/handle/10413/8822
I analyse, interpret and write up Chapter 4 (15-25 pages, or more), which you then discuss in Ch5.
Overall I provide 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 results
8. 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. 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
1y
Certificated Natural Scientist. Statistical Science
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 results 8. 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
1y
For your chapter 4 and 5 thesis chapter. Experienced STATISTICIAN/RESEARCHER and PHD Finalist with 15 plus years’ experience in quantitative analysis.See https://www.up.ac.za/news/post_1722144-up-student-wins-fellowship-to-study-womens-empowerment-indexMy Linkdin profile: https://www.linkedin.com/in/christopher-manyamba-04490713/Also see https://researchspace.ukzn.ac.za/handle/10413/8822I analyse, interpret and write up Chapter 4 (15-25 pages, or more), which you then discuss in Ch5.Overall I provide 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. 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 trialWhatsApp 0732177216
2y
Certificated Natural Scientist. Statistical ScienceFor 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 results
8. 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
2y
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