Data Science Basics

Find below the results for this Quiz

1. 

What is Data Science?

 

Multidisciplinary

Just another way to describe statisticians

A relatively new discipline

Extraction of knowledge from large volumes of data

 

2. 

Which one of the V’s below does NOT describe one of the 4 major characteristics of Big Data?

 

Volume

Variety

Velocity

Viscosity

Veracity

3. 

Correlation implies Causality?

 

True

False

4. 

According to the McKinsey’s “Big Data Report”, by 2018 what is the forecast for a shortage of people with deep analytical skills?

 

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140,000-190,000

1.5 million

15,000-20,000

No shortage

5. 

What are the characteristics of a successful Data Scientist?

 

Intellectual curiosity

Good Looks

Presentation skills

Business Savvy

Creativity

Deep technical skills

Story telling

6. 

What set of technical skills should a Data Scientist have?

 

Machine Learning

Statistics

Visualization

Data Mining

Analytics

All of the above

7. 

In order to become a successful data scientist, gaining domain knowledge is irrelevant. Developing the best models is all that matters!

 

True

False

8. 

Real Data Scientists don’t use Hadoop!

 

True

False

9. 

You only need to learn about Hadoop if you have very large amounts of data.

True

False

10. 

How many years of practical experience after obtaining a degree does it typically take to become a data scientist, according to the survey?

0

1-2

4-6

20

 

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