Rate your understanding of Data Engineering.

• 1* I am super lost

• 2** I get some things but not others

• 3*** I feel pretty good; I just need more practice

• 4**** I feel super Confident

The practice of collecting data and finding insights from data is called ________________.

• data collection

• data visualization

• data science

• data analysis

Data science refers to _______________.

• the practice of collecting data and finding insights from data

• presenting data in a visually appealing way

• designing, setting up, and maintaining large collections of data called databases

• gathering and measuring data, which can include surveys and other collection tools

What is data science?

• A term synonymous with data collection

• A term referring to the practice of collecting and finding insights from data

• Both answers

• Neither Answers

Data collection, database management, and data visualization are the _______________.

• steps a research analyst takes before starting their research

• steps a data scientist takes before determining usable results

• practices a data analyst must use to be credible

• None of these answers

Which of the following steps does a data scientist take before determining usable results?

• data visualization

• data collection

• database management

• Data deletion

A data scientist takes the following steps before determining usable results:

• data collection, machine learning, and data visualization

• data collection, machine learning, and database management

• data collection, database management, and data visualization

• data collection, machine learning, and data analysis

Data science is a growing career field because __________________.

• as many as two-thirds of companies are expanding their data science teams every year

• hiring for artificial intelligence has almost doubled over the last few years

• employers struggle to train, hire, and keep qualified talent

• Companies are wanting more personalized workers and less technology

Why is data science a growing career field?

• There is a skills gap with several job openings, but not enough qualified people to fill those

  job openings

• Salaries for data science jobs are high and increase rapidly overtime

• Both answers

• Neither answers

Which ofthe following statements explains why data science is a growing career field?

• There are more qualified people for data science jobs than job openings in data science

• Employers can easily train, hire and keep qualified data science professionals

• Growth of data science teams across companies has been stagnant

• Salaries for data science jobs are high and increase rapidly over time