Programming for Big Data Project

This project assignment requires students to analyze two datasets using R and Python, documenting their process in a detailed report. The report should include a description of the datasets, the objective of the analysis, design documents with flowcharts, and the final analysis results. Students must also discuss the challenges they faced and how they overcame them in a 3000-word project report. The project contributes to 50% of the module's final grade.

Higher Diploma in Data Analytics
Programming for BIG Data Project Description
Semester 1
2016 – 2017
You are required to carry out a series of analyses of two datasets utilising the programming
languages (R and Python) used in this module and programming environments suitable for
the task. 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 including an assessment of the data types
present, with an emphasis on the data that is actually used in the analytical processes
[2 x 10%]
 A description of the objective of the analysis with reference to basic domain literature
to explain the domain purpose of the analyses
[2 x 10%]
 A detailed set of design documents including design diagrams of the data processing
activities carried out, with flowcharts explaining software design, testing processes
and project result evaluation.
[2 x 10%]
 the presentation of the final analysis results along with any associated annotations and
supplementary information
[2 x 15%]
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.
[10%]
Note: the project contributes towards a maximum of 50% of the marks for the module.