3. Data Science Interview Questions
1.What do you mean by word Data Science?
Data Science is the extraction of knowledge from large volumes of
data that are structured or unstructured, which is a continuation of
the field data mining and predictive analytics, It is also known as
knowledge discovery and data mining.
2.Explain the term botnet?
A botnet is a a type of bot running on an IRC network that has
been created with a Trojan.
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4. 3.What is Data Visualization?
Data visualization is a common term that describes any effort to help
people understand the significance of data by placing it in a visual context.
4.How you can define Data cleaning as a critical part of process?
Cleaning up data to the point where you can work with it is a huge amount
of work. If we’re trying to reconcile a lot of sources of data that we don’t
control like in this flight, it can take 80% of our time.
Data Science Interview Questions
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5. 5.Point out 7 Ways how Data Scientists use Statistics?
Data Science Interview Questions
1. Design and interpret experiments to inform product
decisions.
2. Build models that predict signal, not noise.
3. Turn big data a into the big picture
4. Understand user retention, engagement,
conversion, and leads.
5. Give your users what they want.
6. Estimate intelligently.
7. Tell the story with the data.
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6. 6.Differentiate between Data modeling and Database design?
Data Modeling – Data modeling (or modeling) in software
engineering is the process of creating a data model for an
information system by applying formal data modeling techniques.
Database Design- Database design is the system of producing a
detailed data model of a database. The term database design can be
used to describe many different parts of the design of an overall
database system.
Data Science Interview Questions
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7. 7.Describe in brief the data Science Process flowchart?
1.Data is collected from sensors in the environment.
2. Data is “cleaned” or it can process to produce a data set
(typically a data table) usable for processing.
3. Exploratory data analysis and statistical modeling may be
performed.
4. A data product is a program such as retailers use to inform new
purchases based on purchase history. It may also create data and
feed it back into the environment.
Data Science Interview Questions
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