Question

Demonstrate the mastery of technical skills in descriptive, daignostic, predictive and prescriptive modeling by an example: You can create fictitious data or select data from UCI repository

Answer 1

The mastry of technical skills in descriptive, daignostic, predictive and prescriptive modeling by an example --

• The data analyst have skill to work with data in various ways which can be data mining, data managment, data presentation and stastical analysis.
• 1.) Descriptive data analysis : Discriminating the reality --
• Descriptive data analysis is using existing raw data which can be used to present clear picture of what exists.
• The information can be in the form of data visualization like -- dashboards, charts, reports and graphs.
• For example -- In organization, data of mothly profit and loss can be used to determine the performance.
• 2.) Diagnostic data analytics: figure out "why" --
• To diagnose data, the analytics should have skill to reading, scanning, filtering and extracting useful data to find out the reason why something is happening.
• The analytics should have skill of breaking down available information and identify the cause behind specific problem, behaviour and events.
• The managers can search and create snapshot of employees who are working across different location and division with help of data analytics.
• The analyst have skill to find out root cause of problems in such a manner like drill down, data mining, data discovery and correlation. these all can be popular technique to diagnose analysis.
• 3.) Predictive data analytics : To get Idea about future --
• The predictive data analytics help to identify event when something may happen or it can be upcoming change.
• The analytics have skills to analyze past and present data to predict the future.
• The data modeling and machine learning are techniques that can be used.
• For example -- Higher risk of heart attack in older people. here the prediction can be based on finding linear relationship between the data of age and frequency of heart attacks in population.
• 4.) Prescriptive data analysis : To suggest the way forward --
• The prescriptive analytics helps in the prediction to deliver value. it provide best key to future and identify the best course of action from the available information.
• The analytic study the three steps and determine the posible solution to a problems.
• For example -- Mobile application for road traffic. it can help you choose the best route and reach home.