What is Data Science

Which of the following examples describes how data science can better inform consumers?

A mobile banking app that tracks a customers spending and visualizes their spending habits by category with a chart

Which of the following is not an example of descriptive analytics?

A prediction of revenue over the next three months for a pharmaceutical company

What is data science?

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

Which of the following industries use data science to innovate and improve business outcomes?

All of the above

Data scientists can help businesses achieve their goals by

All the above

Which of the following methods is a data scientist least likely to use to address business problems?

Analyzing feedback from 50 out of 50,000 customers

How can data scientists help businesses achieve their goals?

Both A and B

Using descriptive analytics can be a great way for businesses to _____________________.

Both A and B

Which of the following examples describes how data science can improve business outcomes?

Both A and B

Which of the following methods are used by data scientists to address business problems?

Both A and B

Why is data science a growing career field?

Both A and B

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

Which of the following is not an example of predictive analytics?

Creating a report for last month's revenue for a professional football team

Which of the following statements explain how data scientists can help businesses achieve their goals?

Data scientists have a scientific process for using data to make recommendations for businesses that can help them achieve their goals.

What is the relationship between descriptive and predictive analytics?

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

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.

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

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

Data science is a growing career field because __________________.

all of the above

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

all of the above

In order for a data scientist to make recommendations, their data must be _____________________.

clean, accurate, and representative

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

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

data collection, database management, and data visualization

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

data science

Businesses use _____________to create observations based on data.

descriptive analytics

Businesses use ____________________to help determine what may need to happen in the future.

predictive analytics

Using predictive analytics can be a great way for businesses to _____________________.

project whether or not their customer base will grow next year

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

steps a data scientist takes before determining usable results

Data science refers to _______________.

the practice of collecting data and finding insights from data

____________ analytics refer to observations based on data while ___________ analytics refers to using data to help determine what may happen in the future.

Descriptive; predictive

Data scientists identify ____________ and _______________in data to address business problems.

trends; patterns