Data analyst Python R MapReduce - Repost - open to bidding

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You are required to carry out a series of analyses of two datasets utilising appropriate programming languages and programming environments. For each of the chosen datasets you are required to compile a report of the analysis. For each of the reports you should provide the following: - a description of the underlying datasets - a description of the objective of the analysis - the data processing activities carried out - the presentation of the final analysis results along with any associated annotations and supplementary information Additionally, you should also identify a particular dataset and analysis that can utilise the MapReduce programming paradigm for processing. You must then: - implement and present the algorithms to process the dataset in a MapReduce environment - present configuration details on how you set up the MapReduce environment - present your results via an appropriate report All deliverables should be compiled into an accompanying project report document for submission along with any programming code elements. Your project report (3000 words) should discuss the challenges that you encountered whilst handling your chosen datasets and the means and mechanisms you implemented to overcome these challenges.

Mathematics

R Programming Language

SPSS Statistics

Statistical Analysis

Statistics

ID del proyecto: 10241471

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Activo hace 8 años

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2 freelancers están ofertando un promedio de $361 USD por este trabajo

@seriousall

I can help you achieving the goals. I have vast experience of carrying out analysis on large datasets and writing analysis report.

$555 USD en 30 días

5,0

(6 comentarios)

2,7

@sortida88

Hi. We are 3 PhD students in Statistics (Dr. Torretta became a PhD three weeks ago). We have a good background (Excel, R, STATA, SAS and SPSS and Latex) in every direction which involves Statistics. We'll be glad to work for and with you. We're trying to start a new career as freelancers. We started just few weeks ago with our first project on this site. Contact us via chat. Our group is very specialized in biostatistics and methodological statistics, but our PhD at the university of Palermo is in Statistics, Applied Statistics and Quantitative Finance. To show that we are quite skilled, we attach a list of some publications of two of us, dr. F. Torretta and dr V. Capuccio. • P-spline quantile regression with a mixed model algorithm. Federico Torretta, Vito M.R. Muggeo, Paul H.C. Eilers. Proceedings 30th International Workshop on Statistical Modelling, Linz 2015. • Red blood cell distribution width as new biomarker in predicting outcomes after aortic valve replacement: A Retrospective Cohort Study. C. Pisano, C.R. Balistreri, O.F. Triolo, F. Torretta, V. Capuccio, V. Argano, C. Palmeri, G. Ruvolo. Acta Cardiologica. Under review. • Growth curves of sorghum roots via quantile regression with P-Splines. Alessio Pollice, Vito M.R. Muggeo, Federico Torretta, Rocco Bochicchio and Mariana Amato. 47th Scientific Meeting of the Italian Statistical Society, Cagliari 2014.

$166 USD en 30 días