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Data Analytics vs. Data Science vs. Data Engineering

Authored by Brad DeFauw

Computers

Professional Development

Used 14+ times

Data Analytics vs. Data Science vs. Data Engineering
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15 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A ___________ analyzes numeric data and uses it to help companies make better decisions.

Data Analyst

Data Engineer

Data Scientist

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A ___________ involves in preparing data. They develop, construct, test & maintain complete architecture.

Data Analyst

Data Engineer

Data Scientist

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A _____'s primary skill set revolves around data acquisition, handling, and processing.

Data Analyst

Data Engineer

Data Scientist

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Most entry-level professionals interested in getting into a data-related job start off as...

Data Analyst

Data Engineer

Data Scientist

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A ______ needs to have a strong technical background with the ability to create and integrate APIs. They also need to understand data pipelining and performance optimization. 

Data Analyst

Data Engineer

Data Scientist

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

______ skills include advanced statistical analyses, a complete understanding of machine learning, data conditioning etc.

Data Analyst

Data Engineer

Data Scientist

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A _______________analyzes and interpret complex data. They are data wranglers who organize (big) data.

Data Analyst

Data Engineer

Data Scientist

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