Data Analytics Module 1

Why are the answers from Question 2 right?

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

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

A hospital uses statistics in health records to identify patients who may be at risk for certain diseases. A grocery store polls customers about their brand preferences, then uses the survey results to determine which items to stock. A manufacturing company uses documented information about production processes to improve efficiency.

The analytical skill that involves breaking processes down into smaller steps and working with them in an orderly, logical way

A technical mindset

Why are the answers from Question 4 right?

An e-commerce website collecting, observing, and analyzing its customers' online behaviors, then using the insights gained to choose when to put certain products on sale, describes data-driven decision making. Data-driven decision-making is using facts to guide business strategy.

The condition in which something exists or happens

Context

Being able to identify tow or more pieces of data; does not equal causation

Correlation

A data professional considers how they can best manage the key elements of an analysis project. They confirm that team members know how to use the right data, ensure there's a clear path to a solution, and check that the right technology is in place. Which analytical skill does this scenario describe?

Data strategy

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

A pet shelter wants to receive 15% more donations at this year's holiday fundraiser than were given in previous years. Data team members look into past donations compared to desired donations for this holiday season. They then develop strategies to bridge the difference between the two. What does this scenario describe?

The scenario describes gap analysis

A data professional working at a nonprofit prepares for a project about community forestry. They use their analytical thinking skills to determine what they want to achieve with the data. They also prioritize staying focused and on track. Which aspect of analytical thinking does this scenario describe?

The scenario describes strategic thinking

The analytical skill that has to do with how you group things into categories

Understanding context

the graphical representation of information

Visualization

Identifying and defining a problem and then solving it by using data in an organized, step-by-step manner

Analytical Thinking

The qualities and characteristics associated with solving problems using facts

Analytical skills

The process of identifying and defining a problem, then solving it by using data in an organized, step-by-step manner

Analytical thinking

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

Data Design

Thinking about the way you organize your contacts in a new phone is an example of which analytical skill?

Data Design

Question 1 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

The analytical skill that involves how you organize information

Data design

The analytical skill that involves managing the processes and tools used in data analysis

Data strategy

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

Facts

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

Find relevant data

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 analysis involves collecting, transforming, and organizing data. Data is a collection of facts.

This approach is used in order to identify, describe, and solve problems

Problem oriented

This process helps data analysts see what they want to achieve with the data and how they can get there, while improving quality and usefulness of the data we collect

Strategizing

Which analytical skill involves the ability to break things down into smaller steps and work with them in an orderly and logical way? 1 point

Technical Mindset

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

The five aspects of analytical thinking

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

The root cause of a problem

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

The specifics

They are familiar with the business problem. They can review analysis results and help identify inconsistencies.

They are familiar with the business problem. They can review analysis results and help identify inconsistencies.

Why are the answers from Question 3 right?

It's important to include insights from subject-matter experts because they are familiar with the business problem and can review analysis results and help identify inconsistencies. Plus, their experience and human intuition are valuable to data-driven decision-making.

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

Just because two pieces of data trend in the same direction does not necessarily mean they are related. Visualization is the graphical representation of information.

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

Graph, Chart, Map

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

An analyst might create a chart in order to communicate data insights to others.

Why is a chart a type of data visualization?

An analyst might create a graph in order to communicate data insights to others.

Why is a graph a type of data visualization?

An analyst might create a map in order to communicate data insights to others.

Why is a map a type of data visualization?

Qualities and characteristics associated with using facts to solve problems

analytical skills

the practice of stepping back from an issue or problem so as to take more of it in

big-picture thinking

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

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

identifying and defining

Fill in the blank: Data analysts use a _____ approach in order to identify, describe, and work out challenges or issues.

problem-oriented

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

understanding the unknown