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

• data collection

• data visualization

• data science

• data analysis

Match the following descriptions with the correct definition of Data Science.

• Definition of Data Science focusing on visualization

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

• Definition of Data Science focusing on data collection methods

• presenting data in a visually appealing way

• Definition of Data Science focusing on analysis and insights

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

• Definition of Data Science focusing on database management

• the practice of collecting data and finding insights from data

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 the above

Which of the 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

Which of the following steps does a data scientist take first before they can provide data that's useful for decision-making purposes?

• Collect data

• Clean data

• Analyze data

• Visualize data

A data scientist takes the following chronological steps before they can provide data that's useful for decision-making purposes:

• collect data, clean data, analyze data, visualize data, then make recommendations

• collect data, clean data, analyze data, make recommendations, then visualize data

• collect data, clean data, visualize data, make recommendations, then analyze data

• collect data, clean data, visualize data, analyze data, then make recommendations

Data scientists identify __________ and __________ in data to address business problems.

• outliers; customer feedback

• customer feedback; trends

• customer feedback; patterns

• trends; patterns

What is the difference between descriptive and predictive analytics?

• Descriptive analytics refer to observations based on data while predictive analytics refers to using data to help determine what may happen in the future.

• Predictive analytics refer to observations based on data while descriptive analytics refers to using data to help determine what may happen in the future.

• Both terms are used synonymously

• None of the above

What is the relationship between descriptive and predictive analytics?

• Descriptive analytics describes potential future data while predictive analytics describes historical data.

• Descriptive analytics describes a proactive approach to a data set while predictive analytics describes a reactive approach to a dataset.

• Descriptive analytics can be used as a starting point for predictive analytics.

• There is no relationship between descriptive and predictive analytics.

Data scientists can help businesses achieve their goals by: (Select All that Apply)

• Being skilled in knowing the right questions to ask and identifying areas a business can improve.

• Identifying areas a business can improve.

• Having a scientific process for using data to make recommendations.

• Not being skilled in identifying areas a business can improve.