Describe to general audience the data analytics methodolog

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Reference no: EM133814841

Capstone: Industry Case Studies

Assessment - Methodology Summary presentation

Your Task

This assessment is to be done individually in week 8 after the peer consultation activity in week 6.

You will present a 5-8-minute summary of the below sections of the final research report:
Data sources and data processing
Data Analytics Methodology
Visualisation of Results

Assessment Description

An individual presentation
Students are to clearly present main parts of their own project. Get your questions answered now!

Assessment Instructions
Prepare an 8-minute presentation on the following three areas of the project: Prepare an 8- minute presentation on the following three areas of the project:

Data Analytics Methodology
Describe to a general audience the data analytics methodology you chose and the reasons for the choice.
Use a flow chart to illustrate the framework.
Address the following,
What was the statistical/analytics method called?
How much data was used in the model?
How did you input the data?
What was the output?

Visualisation and Evaluation of Results
Visualise your (A) descriptive analytics and (B) predictive analytics insights.
Evaluate the model & significance of the analytics in addressing the business problem.
Reflect on the efficacy of the techniques/software used and what other data and techniques could enhance the analysis.
Reflect on the value of the peer discussion review undertaken in week 6.

Brief Summary of your results
Outline your broad results.
Provide your insights with reference to the business problem you selected.
Reflect briefly on the role & limitations of the data and analytics technique that you have used in addressing this business problem.

References
Cover Page
Introduction
Business Problem and Goal
Data Analytics Methodology
Flowchart/Framework
Data Sources (sources, data dictionary, predictor variables, target variable)
Data Processing (missing values, transformation,)
Descriptive Analytics( summary statistics, bar chart, pie chart, line plot, trend plot, seasonality plot,...)
Predictive Analytics( Machine
Learning/forecasting Models, Model
Selection/Evaluation, Model Interpretability)
Feedback/Reflection
Reflect on the efficacy of the techniques/software used and what other data and techniques could enhance the analysis.
Reflect on the value of the peer discussion review undertaken in week 6.

Summary
Outline your broad results
Provide your insights with reference to the business problem you selected.
Reflect briefly on the role & limitations of the data and analytics technique that you have used in addressing this business problem.

Reference no: EM133814841

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