module 1 practice quiz and assessments

What type of data visualization might an analyst create in order to communicate data insights to others? Select all that apply.

charts, graphs, and maps

Fill in the blank: The analytical skill _____ encompasses how someone organizes information.

data design

Fill in the blank: Data analysts use a problem-oriented approach in order to _____, describe, and solve problems.

identify

Analytical thinking involves _____ a problem, then solving it by using data in an organized, step-by-step manner.

identifying and defining

To execute a plan using detail-oriented thinking, what does a data analyst consider?

To execute a plan using detail-oriented thinking, a data analyst considers the specifics. Big-picture thinking means seeing the big picture and the details.

the 5 why method

you ask why 5 times to reveal the root cause

Fill in the blank: Analytical skills are the qualities and characteristics associated with using _____ to solve problems.

facts

Which of the following examples demonstrate data-driven decision-making?

A grocery store polls customers about their brand preferences, then uses the survey results to determine which items to stock.

Which of the following examples demonstrate data-driven decision-making?

A hospital uses statistics in health records to identify patients who may be at risk for certain diseases.

Which of the following examples demonstrate data-driven decision-making? Select all that apply.

A manufacturing company uses documented information about production processes to improve efficiency.

Which of the following activities are elements of data-driven decision-making? Select all that apply.

Determine the problem to be solved, Uncover trends or patterns, Analyze data

Which of the following statements correctly describe analytical thinking? Select all that apply.

Figuring out all of the specifics that will help execute a plan is detail-oriented thinking.

Which of the following statements correctly describe data and data analysis? Select all that apply.

One goal of data analysis is to draw conclusions, Data is a collection of facts, Data analysis involves collecting, transforming, and organizing data.

A data professional is assigned a challenging data analysis task. In order to be able to work in an orderly and logical manner, they break down larger, more complex elements into smaller pieces. Which analytical skill does this scenario describe?

Technical mindset

A data professional asks, "Why?" five times. What are they trying to figure out?

The root cause of a problem

5 aspects of analytical thinking

visualization, strategy, problem orientation, correlation, big picture and detail oriented thinking.

A data team at a national bank plans a project about its customer bill-paying tool. They apply analytical thinking to decide what they want to achieve with the data. This helps ensure the data is valuable and will help them accomplish their goals. Which aspect of analytical thinking does this scenario describe?

analytical thinking

In your role as a data professional, you examine a dataset of taxi rides to determine which hour of the day typically has the highest demand. Under which discipline does this example best fall?

data analysis

An e-commerce website collects, observes, and analyzes its customers' online behaviors. Then, it uses the insights gained to choose when to put certain products on sale. What business practice does this describe?

data driven decision making,

Fill in the blank: A _____ encompasses the various elements that interact with one another in order to produce, manage, store, organize, analyze, and share data.

data ecosystem

While planning a road trip, you figure out all of the specific stops you need to take along the way. You also consider how often you'll stop for gas, meals, and sleep. Having this information enables you to execute your plan. What does this scenario describe?

detail oriented thinking

What is a method for examining and evaluating how a process works currently in order to get to an improved future state?

gap analysis

Fill in the blank: Data science is creating new ways of _____ and understanding the unknown by using raw data.

modeling

Which analytical skill involves the ability to break things down into smaller steps and work with them in an orderly and logical way?

technical mindset

When building data into business strategy, why is it important to include insights from subject-matter experts? Select all that apply.

they can review data analysis results and help identify inconsistencies, they are familiar with the business problem, and their experience and human intuition are valuable to data-driven decision-making

An acquaintance tells you that they spend many hours each day "playing." To learn more, you ask them whether they play sports, a musical instrument, or something else. Their answer helps you clarify the meaning of their statement. What does this scenario describe?

understanding context