Data Science is

• The science of creating data.

• It is a branch of Social Studies.

• Multidisciplinary study of data collections for analysis, prediction, learning and prevention.

• It is a specialized field of study under Artificlal Intelligence

Which steps in Data Science is correct?

• Data Modeling ->Data Acquisition -> Clean Data ->Data Analysis ->Deployment and optimization

• Data Acquisition -> Clean Data ->Data Analysis -> Data Modeling ->Deployment and optimization

• Clean Data ->Data Analysis -> Data Modeling ->Deployment and optimization -> Data Acquisition

• Data Modeling ->Data Acquisition -> Clean Data ->Data Analysis ->Deployment and optimization

In Data Acquisition stage, the following which type and source of data are correct.

• User and Inventory data from transaction databases.

• Social Engagement from Social Networks like Facebook Twitter.

• Training Data from from tools like CrowdFlower, Mechanical Turk.

• Customer Support data from Call Logs, Emails

Data integration involves combining data residing in different sources and providing users with a unified view of these data.

• True

• False

Predictive data modeling involves the collection of data on consumer behaviour to predict future consumer behaviour and to take action accordingly. Following are the valid examples of the same.

• Recommendation systems (netflix, pandora, amazon, etc.)

• Online user behaviour is used to predict best targeted ads

• Customer purchase histories are used to determine how to price,stock, market and display future products.

• Payroll data in the organization.

Data used for analysis can come from many different sources such as generated by

• Machine

• Human

• All the answer

What will be the prerequisites for Data Science?

• Machine Learning

• Database

• Imagination

• Programming

Are mathematic-based field is one of the major core in Data Science?

• True

• False

Does Data Science dealing with

• Pre-prepared and clean data

• Messy and uncomplete data

The following which one is NOT under Data Science?

• Collect the data

• Analyze the data

• design the machine and system

• Design a predictive model