10 Top Data science Interview Questions

Data science is emerging area where you can predict the customer behaviour and in turn increase revenues in any business. To attend  interviews, you need right set of questions. The list below helps you to refresh quickly.

Real Use of Data Science

Data science is purely answerable to business problems and needs. When the Software developer unable to express answers in the way to get understand by interviewer, then this is a problem, and your Resume may not be short listed for next interview.

Use of Questions and Answers

Data analytics is fast growing area. Where many people face a little problem to tell answers in the interviews.

10 Top Interview Questions

1.) What are data analytics?

A) The concept of data analytics is came into picture due to increased use of internet and e-commerce-The analytics helps analyse customer data and provide deep insights on how to generate more revenue and more sales to the business owner.

2). Why analytics is so popular nowadays?

A) Due to grown of e-commerce and multiple communication channels, customers now interacting and generate more unstructured data. So, to better understand of customer, you need now data analytics.

3). What are different optmizations?

A) Optimisation reformat systems and processes to improve their performance. This improvement can be in terms of cost rationalisation, risk mitigation, or achievement of operational efficiencies

4). What is model evaluation?

A) Once model is created. It should be tested with different input criteria and it should show or work effectively, in extreme scenarios.

5). In-sample and Out-sample testing?

A) In in-sample testing creating a model based on sample observations 100 readings. Out-sample testing, model to create based on 80 observations. And, testing to be done on remaining 20 observations.

6). What is response model?

A) Response model predicts the likelihood of a certain event

7). What is nominal scale?

A) A nominal measurement scale is used for variables in which different categories are clearly defined. These categories should be mutually exclusive and exhaustive. For example, classifying people into “male” and “female” categories.

8). What is data sampling?

A) Sampling is the process of selecting a small set of a whole population

9). What are data entry errors?

A) Data entry is mostly done by humans, who typically extract information from speech or enter data from written or printed sources. In these instances, the data may have typographic errors inserted during entry, or data is entered incorrectly. These kind of errors we call as data entry errors

10). What is data parsing process?

A) Parsing in data cleansing is performed to detect syntax errors

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Data Science Research

Data science is an integration of statistics, computing technology and artificial intelligence (AI): These fields together creates a new post in the companies like Google called data scientist. A data scientist team consists of statisticians, computer scientists, AI scientists and experts in other relevant fields. Data driven scientific discovery is an important emerging paradigm for computing in areas including social, service, Internet of Things, sensor networks, telecommunications, biology, health-care and cloud

Author: Srini

Experienced software developer. Skills in Development, Coding, Testing and Debugging. Good Data analytic skills (Data Warehousing and BI). Also skills in Mainframe.