The Business Demand for Data Collection and Data Analytics - Data Analytics Assignment Help

Assignment Task :

1.1 General Study and Resource Requirements 

•  Dedicated computer laboratories are available for student use. Normally, tutorial classes are conducted in the computer laboratories.
• Students are expected to attend classes with the requisite textbook and must read specific chapters prior to each tutorial. This will allow them to actively take part in discussions. Students should have elementary skills in both word processing and electronic spreadsheet software, such as Office 365 or MS Word.
• Computers and WIFI facilities are extensively available for student use throughout KOI. Students are encouraged to make use of the campus Library for reference materials.
• Students will require access to the internet and email. Where students use their own computers, they should have internet access. KOI will provide access to required software. 

2 Academic Details 

2.1 Overview of the Subject 

Data is everywhere. The amount of digital data that exists is growing at a rapid rate, doubling every two years, and is thus drastically changing the way we live. Massive amounts of data and information are collected every second by the internet, social media, sensors and networks all over the world. Business Intelligence (BI) frameworks must handle this data. Business intelligence requires data science that deals with data cleansing, preparing, integrating and analysing data sets in order to draw conclusions about the information they contain. This subject focuses on the analysis and reporting of data and its applications to business intelligence. The subject helps you to combine technical and statistical skills, analytical thinking, and business acumen

Subject Learning Outcomes Contribution to Graduate Attributes 

a) Explain the business demand for data collection and data analytics 

b) Analyse and evaluate different data architectures in business contexts 

c) Justify choices for data design in business contexts 

d) Select and apply data modelling tools to business intelligence scenarios. 

3. Assessment Details 

3.1 Details of Each Assessment Item 

The assessments for this subject are described below. Supplementary assessment information and assistance can be found in Moodle. 

KOI expects students to submit their own original work in both assignments and exams, or the original work of their group in the case of group assignments. 

Marking guides for assessments follow the assessment descriptions. Students should compare final drafts of their assessment against the marking guide before submission. 

Assessment 1 

Assessment type: Individual assignment. Completion and Submission of Tutorial tasks. 

Purpose: Assessment will help students learn concepts of Data Analytics and R Programming. This assessment contributes to learning outcomes b and c. 

This Data Analytics Assignment has been solved by our Data Analytics Experts at My Uni Paper. Our Assignment Writing Experts are efficient to provide a fresh solution to this question. We are serving more than 10000+ Students in Australia, UK & US by helping them to score HD in their academics. Our Experts are well trained to follow all marking rubrics & referencing style.

Be it a used or new solution, the quality of the work submitted by our assignment experts remains unhampered. You may continue to expect the same or even better quality with the used and new assignment solution files respectively. There’s one thing to be noticed that you could choose one between the two and acquire an HD either way. You could choose a new assignment solution file to get yourself an exclusive, plagiarism (with free Turnitin file), expert quality assignment or order an old solution file that was considered worthy of the highest distinction.