Data Analytics vs. Data Science vs. Data Engineering

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

• Data Analyst

• Data Engineer

• Data Scientist

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

• Data Analyst

• Data Engineer

• Data Scientist

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

• Data Analyst

• Data Engineer

• Data Scientist

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

• Data Analyst

• Data Engineer

• Data Scientist

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

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

• Data Analyst

• Data Engineer

• Data Scientist

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

• Data Analyst

• Data Engineer

• Data Scientist

A _____ needs to be a master of both - data, stats, and math along with in-depth programming knowledge for Machine Learning and Deep Learning.

• Data Analyst

• Data Engineer

• Data Scientist

A _____ can earn up to $90,8390 /year.

• Data Analyst

• Data Engineer

• Data Scientist

To be successful in _____ requires solid programming skills, statistics knowledge, analytical skills, and an understanding of big data technologies.

• Data Analyst

• Data Engineer

• Data Scientist