Data Analytics Module 1
Problem oriented
This approach is used in order to identify, describe, and solve problems
What type of data visualization might an analyst create in order to communicate data insights to others? Select all that apply.
Graph, Chart, Map
Technical Mindset
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
Find relevant data
Which of the following activities are elements of 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.
Which of the following examples demonstrate data-driven decision-making? 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.
Which of the following statements correctly describe analytical thinking? 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.
Which of the following statements correctly describe data and data analysis? Select all that apply.
A data ecosystem encompasses the various elements that interact with one another in order to produce, manage, store, organize, analyze, and share data.
Why are the answers from Question 2 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.
Why are the answers from Question 3 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.
Why are the answers from Question 4 right?
Visualization
the graphical representation of information
big-picture thinking
the practice of stepping back from an issue or problem so as to take more of it in
The five aspects of analytical thinking
visualization, strategy, problem-orientation, correlation, big-picture and detail-oriented thinking
Correlation
Being able to identify tow or more pieces of data; does not equal causation
Analytical thinking
The process of identifying and defining a problem, then solving it by using data in an organized, step-by-step manner
understanding the unknown
Fill in the blank: Data science is creating new ways of modeling and _____ by using raw data.
analytical skills
Qualities and characteristics associated with using facts to solve problems
Data Design
Thinking about the way you organize your contacts in a new phone is an example of which analytical skill?
The root cause of a problem
A data professional asks, "Why?" five times. What are they trying to figure out?
Data strategy
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?
The scenario describes strategic thinking
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 gap analysis
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?
Understanding Context
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?
Why is a chart a type of data visualization?
An analyst might create a chart in order to communicate data insights to others.
Why is a graph a type of data visualization?
An analyst might create a graph in order to communicate data insights to others.
Why is a map a type of data visualization?
An analyst might create a map in order to communicate data insights to others.
Data-driven decision-making
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 ecosystem
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.
Facts
Fill in the blank: Analytical skills are the qualities and characteristics associated with using _____ to solve problems.
identifying and defining
Fill in the blank: Analytical thinking involves _____ a problem, then solving it by using data in an organized, step-by-step manner.
problem-oriented
Fill in the blank: Data analysts use a _____ approach in order to identify, describe, and work out challenges or issues.
Data Design
Fill in the blank: The analytical skill _____ encompasses how someone organizes information.
Analytical Thinking
Identifying and defining a problem and then solving it by using data in an organized, step-by-step manner
Data analysis
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?
Understanding context
The analytical skill that has to do with how you group things into categories
A technical mindset
The analytical skill that involves breaking processes down into smaller steps and working with them in an orderly, logical way
Data design
The analytical skill that involves how you organize information
Data strategy
The analytical skill that involves managing the processes and tools used in data analysis
Context
The condition in which something exists or happens
Analytical skills
The qualities and characteristics associated with solving problems using facts
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.
Strategizing
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
The specifics
To execute a plan using detail-oriented thinking, what does a data analyst consider?