Course 1 - Foundations: Data, Data, Everywhere - Quizz
What are some key benefits of data visualizations? Select all that apply. Graphs and charts offer a clear and concise overview of the data. Data becomes more detailed and comprehensive when visualized. Data visualizations enable stakeholders to identify trends more easily. Insights that are visualized can be more quickly shared and understood
Graphs and charts offer a clear and concise overview of the data. Data visualizations enable stakeholders to identify trends more easily. Insights that are visualized can be more quickly shared and understood
In the following query, what will be retrieved from the database? SELECT * FROM facility A WHERE specialist = 'engineering' 1. All engineering specialists in facility A 2. All engineering specialists in all facilities 3. All of facility A 4. All specialists in facility A
1. All engineering specialists in facility A
In the following query, what will be retrieved from the database? SELECT * FROM Storeroom 5 WHERE glasses = 'bifocals' 1. All glasses in Storeroom 5 that are bifocals 2. All glasses in all storerooms 3. All glasses in Storeroom 5 4. All bifocals in all storerooms
1. All glasses in Storeroom 5 that are bifocals
Which of the following activities are elements of data-driven decision-making? Select all that apply. Uncover trends or patterns Analyze data Determine the problem to be solved Eliminate information derived from gut instinct
Uncover trends or patterns Analyze data Determine the problem to be solved
Which of the following statements accurately describe data visualizations and visualization tools? Select all that apply. When working with the programming language R, an integrated developer environment enables the creation of data visualizations. Tableau makes it possible to integrate data into dashboard-style visualizations. The process used for analyzing the data should not influence the type of visualization ultimately selected. Spreadsheets have visualization tools that enable data professionals to create line or bar charts.
When working with the programming language R, an integrated developer environment enables the creation of data visualizations. Tableau makes it possible to integrate data into dashboard-style visualizations. Spreadsheets have visualization tools that enable data professionals to create line or bar charts.
A car rental company is interested in improving the customer experience. A data professional fixes typos and inaccuracies from a dataset containing feedback and ratings. They also verify and share their data-cleaning procedures with stakeholders. What step of the data analysis process does this scenario describe? 1. Process 2. Prepare 3. Ask 4. Analyze
1. Process
A junior data analyst is assigned a new project. They define the problem that they need to help solve and confirm they understand expectations. Which step of the data analysis process are they working in? 1. Ask 2. Analyze 3. Prepare 4. Share
1. Ask They are working in the ask step. This involves defining the problem to be solved and confirming understanding of expectations.
A data team at a public university wants to communicate to stakeholders about which foreign language courses are most popular with students. They create a data visualization that identifies the 38 different courses, then shows the number of students enrolled in each one. What type of data visualization should they create? 1. Bar chart 2. Line chart 3. Pie chart 4. Donut chart
1. Bar chart
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? 1. Data strategy 2. Curiosity 3. Technical mindset 4. Understanding context
1. Data strategy
Which tool in the data analysts toolbox is most likely to involve the creation of graphs, maps, or charts? 1. Data visualization 2. Database 3. SQL 4. Spreadsheet
1. Data visualization Data visualization is most likely to involve the creation of graphs, maps, or charts.
While planning a roadtrip, 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? 1. Detail-oriented thinking 2. Big-picture thinking 3. Problem-orientation 4. Finding a correlation
1. Detail-oriented thinking This scenario describes detail-oriented thinking, which is about figuring out all of the specifics that will help you execute a plan.
What symbol is used to start a formula? 1. Equal sign (=) 2. Slash mark (/) 3. Asterisk (*) 4. Plus sign (+)
1. Equal sign (=)
Which part of the following query indicates the table from which to retrieve data? SELECT * FROM jobs WHERE specialty = 'operations' 1. FROM 2. 'Operations' 3. WHERE 4. SELECT
1. FROM
In the following query, which clause indicates the table from which to retrieve data? SELECT * FROM Wood WHERE finish = 'stain' 1. FROM Wood 2. SELECT * 3. WHERE finish 4. = 'stain'
1. FROM Wood
A business wants to grow its sales by 10% in the next 12 months. The data team helps achieve this goal by collecting data about current sales, their target market, and their competitors. This helps them identify the difference between where they are today and where they want to be in a year. What does this scenario describe? 1. Gap analysis 2. Planning 3. Guiding business decisions 4. Future analysis
1. Gap analysis
There are six phases in the data life cycle, which culminate with analyze, archive, and destroy. What is the correct order of the first three phases? 1. Plan, capture, manage 2. Plan, manage, capture 3. Manage, capture, plan 4. Manage, plan, capture
1. Plan, capture, manage The correct order is plan, capture, manage. The progression of the data life cycle is: plan, capture, manage, analyze, archive, and destroy.
What does SQL stand for? 1. Structured query language 2. Systematic quality level 3. Searchable question lingo 4. Software quotient listing
1. Structured query language SQL stands for structured query language. SQL enables data analysts to communicate with a database.
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? 1. Technical mindset 2. Data design 3. Curiosity 4. Understanding context
1. Technical mindset
In which of the following scenarios would a line chart be the most appropriate visualization? 1. When showing the change in someone's salary over time 2. When showing the relationship between diet and blood pressure 3. When showing the distribution of people living in a certain area 4. When showing what percentage of total annual sales were generated by various stores
1. When showing the change in someone's salary over time
Fill in the blank: The SQL clause SELECT * is used to request _____ from a particular table. 1. all data 2. all duplicate data 3. the data in certain rows 4. the data in certain columns
1. all data
Fill in the blank: During the _____ step of the data analysis process, data analysts use tools such as spreadsheets to draw useful conclusions. 1. analyze 2. process 3. share 4. act
1. analyze
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. 1. data ecosystem 2. cloud system 3. business transformation 4. data source
1. data ecosystem A data ecosystem encompasses the various elements that interact with one another in order to produce, manage, store, organize, analyze, and share data.
Fill in the blank: In the process step, data analysts may remove _____, which are data points that lie significantly outside the overall pattern of the data and could potentially skew the information. 1. outliers 2. observations 3. statistics 4. values
1. outliers In the process step, data analysts may remove outliers, which are data points that lie significantly outside the overall pattern of the data and could potentially skew the information.
Fill in the blank: Data science involves using _____ data to create new ways of modeling and understanding the unknown. 1. raw 2. clean 3. processed 4. transformed
1. raw
When working in a spreadsheet, what is the correct syntax for a formula that adds the value in cell C8 to the value in cell D8? 1. C8+D8= 2. =C8+D8 3. C8,D8 4. =C8,D8
2. =C8+D8
In the following query, which clause indicates the table from which to retrieve data? SELECT * FROM Garden WHERE herb = 'basil' 1. SELECT * 2. WHERE herb 3. = 'basil' 4. FROM Garden
4. FROM Garden
What is a key difference between a formula and a function? 1. A formula is a preset command, whereas a function is a set of instructions. 2. A formula is a set of instructions, whereas a function is a preset command. 3. A formula is a more efficient way of executing a task than a function. 4. A formula automatically performs a process or task, whereas a function requires the user to type directions in order for it to execute.
2. A formula is a set of instructions, whereas a function is a preset command. A formula is a set of instructions, whereas a function is a preset command.
A trucking company needs more drivers, so they purchase help-wanted ads online. Research reveals that 97% of truck drivers are men, so the data team decides that men are more likely to be successful applicants. Therefore, they target the ads to male job seekers. What should they have done instead? 1. Only target the ads for the trucking jobs to women. 2. Conduct more research to understand the surrounding factors of this situation. 3. Ask the executive team to decide which type of applicants to target with the ads. 4. Find an additional data source that supports the strategy to target men.
2. Conduct more research to understand the surrounding factors of this situation.
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? 1. Performance measurement 2. Data-driven decision-making 3. Analytical thinking 4. Organizing data
2. Data-driven decision-making 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.
Which spreadsheet feature uses a set of instructions to perform calculations, such as multiplication or division? 1. Function 2. Formula 3. Filter 4. Format
2. Formula
Which spreadsheet feature is a preset command that automatically performs a specific process or task? 1. Formula 2. Function 3. Format 4. Filter
2. Function
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? 1. Planning 2. Gap analysis 3. Future analysis 4. Guiding business decisions
2. Gap analysis
A data team considers how and where data will be stored, what tools are required to safeguard it, and how to maintain it properly. What phase of the data life cycle does this scenario describe? 1. Capture 2. Manage 3. Analyze 4. Archive
2. Manage Considering how and where data will be stored, what tools are required to safeguard it, and how to maintain it properly occurs during the manage phase.
A data professional notices that their dataset is imbalanced and therefore is not representative of the entire population. They work to get more responses from nondominant groups in order to address this issue and ensure data insights are fair. What does this scenario describe? 1. Data strategy 2. Oversampling 3. Data cleaning 4. Context
2. Oversampling
What is the term for people who invest time and resources into a project and are interested in the outcome? 1. Subject-matter experts 2. Stakeholders 3. Data analysts 4. Data designers
2. Stakeholders Stakeholders are people who invest time and resources into a project and are interested in the outcome.
Which analytical skill involves the ability to break things down into smaller steps and work with them in an orderly and logical way? 1. Curiosity 2. Technical mindset 3. Problem-solving 4. Simplification
2. Technical mindset A technical mindset involves breaking things down into smaller steps and working with them in an orderly and logical way.
Fill in the blank: A data professional considers fairness from the start of a project to the point when their organization _____ in order to ensure their data analysis is fair. 1. presents findings to stakeholders 2. acts on the data insights 3. cleans and organizes the data 4. collects data for the project
2. acts on the data insights
Fill in the blank: During the _____ step of the data analysis process, data team members use tools such as SQL to make predictions. 1. process 2. analyze 3. act 4. share
2. analyze
Fill in the blank: A high-tech manufacturer acquires data from an outside consumer tech association database and its own documentation about product features and pricing. This work occurs during the _____ phase of the data life cycle. 1. destroy 2. capture 3. manage 4. analyze
2. capture
Fill in the blank: Data analysts use a problem-oriented approach in order to _____, describe, and solve problems. 1. revise 2. identify 3. customize 4. design
2. identify
Fill in the blank: Analytical thinking involves _____ a problem, then solving it by using data in an organized, step-by-step manner. 1. observing and inspecting 2. identifying and defining 3. evaluating and summarizing 4. monitoring and assessing
2. identifying and defining Analytical thinking involves identifying and defining a problem, then solving it by using data in an organized, step-by-step manner.
Fill in the blank: During the _____ phase, data teams decide what kind of data is needed and who will be responsible for it. 1. capture 2. planning 3. manage 4. analyze
2. planning During the planning phase, data teams decide what kind of data is needed and who will be responsible for it.
Fill in the blank: Data analysts use a _____ approach in order to identify, describe, and work out challenges or issues. 1. strategic 2. problem-oriented 3. detail-oriented 4. big-picture
2. problem-oriented
A data analyst at a government agency researches ways to reduce traffic congestion. Rather than using only data about when and where traffic occurs, the analyst considers public transportation usage, road and weather conditions, and more. This enables them to achieve more insightful results. Which fairness best practice does this scenario describe? 1. Including self-reported data 2. Oversampling 3. Considering all available data 4. Guiding business strategy
3. Considering all available data
What term describes the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making? 1. Data analytics 2. Data modeling 3. Data analysis 4. Data science
3. Data analysis Data analysis is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making.
What is the term for the computer system in which organizations store their data? 1. Catalog 2. Data ecosystem 3. Database 4. Cache
3. Database A database is the computer system in which organizations store their data.
What is a method for examining and evaluating how a process works currently in order to get to an improved future state? 1. Data-driven decision-making 2. Root cause analysis 3. Gap analysis 4. Five whys
3. Gap analysis Gap analysis is a method for examining and evaluating how a process works currently in order to get to an improved future state.
A data professional at a beauty products enterprise is assigned a task related to customer buying habits. They think about what type of data they need to be successful, as well as optimal project outcomes. What phase of the data life cycle does this scenario describe? 1. Archive 2. Analyze 3. Plan 4. Manage
3. Plan
A data team at a national retail brand wants to understand why customers return certain items. They have two datasets containing statistics about returns. They clean them, then combine them in order to make the information more complete. What step of the data analysis process does this scenario describe? 1. Share 2. Prepare 3. Process 4. Analyze
3. Process
Which step of the data analysis process is most likely to involve creating visuals that help people understand complex facts and figures? 1. Act 2. Ask 3. Share 4. Prepare
3. Share The share step of the data analysis process is most likely to involve creating visuals that help people understand complex facts and figures.
What is the term for a digital worksheet that data analysts use to store, organize, and sort data? 1. Document 2. Report 3. Spreadsheet 4. Application
3. Spreadsheet A spreadsheet is a digital worksheet that data analysts use to store, organize, and sort data.
What spreadsheet feature is used to change the height of a cell to allow the text inside to fit? 1. Filter 2. Dropdown 3. Text wrap 4. Sort
3. Text wrap
In a data analytics context, what is a business task? 1. The implementation of new strategies that advance the organization 2. The effective, ongoing management of resources 3. The question answered, or problem solved, by data analysis 4. The development of company goals or objectives
3. The question answered, or problem solved, by data analysis
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? 1. Analyzing data 2. Making assumptions 3. Understanding context 4. Testing a hypothesis
3. Understanding context This scenario describes understanding context. Context is the condition in which something exists or happens.
Fill in the blank: An executive might ask data team members to work on a _____ in order to address a particular question or problem using data analysis. 1. measurable outcome 2. stated objective 3. business task 4. relevant process
3. business task
Fill in the blank: During the prepare step of the data analysis process, data is stored and _____ for analysis. 1. cleaned 2. interpreted 3. collected 4. shared
3. collected
Fill in the blank: Data is _____ during the prepare step of the data analysis process. 1. presented and shared 2. analyzed and interpreted 3. collected and stored 4. filtered and sorted
3. collected and stored
Fill in the blank: The analytical skill _____ encompasses how someone organizes information. 1. data mindset 2. data strategy 3. data design 4. data analysis
3. data design The analytical skill data design encompasses how someone organizes information.
Fill in the blank: Fairness means ensuring that bias is neither created nor _____ by the data analysis process. 1. diminished 2. modified 3. reinforced 4. subverted
3. reinforced
Fill in the blank: The SQL clause SELECT * is used to _____ all data from a particular table. 1. exclude 2. archive 3. request 4. copy
3. request
Fill in the blank: Data science is creating new ways of modeling and _____ by using raw data. 1. organizing information 2. sharing insights 3. understanding the unknown 4. answering existing questions
3. understanding the unknown
Which part of the following query requests that all data from the table be selected? SELECT * FROM customers WHERE country = 'France' 1. WHERE 2. Equal sign (=) 3. 'France' 4. Asterisk (*)
4. Asterisk (*)
A junior data analyst at a financial company wants to communicate to stakeholders about which investment products are selected by clients the most. They create a data visualization that identifies the 26 different products, then shows the amount of money currently invested in each one. What type of data visualization should they create? 1. Line chart 2. Pie chart 3. Donut chart 4. Bar chart
4. Bar chart
An HR firm is filling open positions for administrative assistants, so they purchase online help-wanted ads. Research reveals that 87% of administrative assistants are women, so the data team decides that women are more likely to be successful applicants. Therefore, they target the ads to female job seekers. What should they have done instead? 1. Only target the ads for the administrative assistant jobs to men. 2. Find an additional data source that supports the strategy to target women. 3. Ask the executive team to decide which type of applicants to target with the ads. 4. Conduct more research to understand the surrounding factors of this situation.
4. Conduct more research to understand the surrounding factors of this situation.
Thinking about the way you organize your contacts in a new phone is an example of which analytical skill? 1. Data strategy 2. Understanding context 3. Curiosity 4. Data design
4. Data design
Which fairness best practice is intended to help data teams better understand the context surrounding their data analysis conclusions? 1. Use oversampling 2. Include self-reported data 3. Consider relevant data 4. Identify surrounding factors
4. Identify surrounding factors
Question 3 In the following query, data will be retrieved from which table? SELECT * FROM inventory WHERE product = 'vacuum' 1. SELECT 2. Vacuum 3. Product 4. Inventory
4. Inventory
Which text wrapping feature allows the text within a spreadsheet cell to continue into the next cell, if it is empty. 1. Fill 2. Wrap 3. Clip 4. Overflow
4. Overflow
On a city train line, peak ridership occurs between 7 AM and 7 PM. The fairness of a passenger survey could be improved by over-sampling riders from which group? 1. Passengers who are senior citizens 2. Passengers who are young working professionals 3. Passengers who ride the train during peak times 4. Passengers who ride the train during off-peak times
4. Passengers who ride the train during off-peak times
While conducting a survey to learn about employee satisfaction, a data analyst notices that the majority of respondents are people who work in the operations department. The fairness of their survey could be improved by over-sampling which employees? 1. People who have worked for the company less than five years 2. People who have worked for the company more than five years 3. People in operations who have not yet responded to the survey 4. People who work in departments other than operations
4. People who work in departments other than operations
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? 1. Problem-orientation 2. Correlation 3. Big-picture thinking 4. Strategic thinking
4. Strategic thinking
A data professional asks, "Why?" five times. What are they trying to figure out? 1. Evidence of a problem's existence 2. Details about the effects of a problem 3. The most common symptoms of a problem 4. The root cause of a problem
4. The root cause of a problem
To execute a plan using detail-oriented thinking, what does a data analyst consider? 1. The big picture 2. The main idea 3. The root cause 4. The specifics
4. The specifics
What is the purpose of the five whys? 1. To figure out a problem's consequences 2. To understand the impact of a problem 3. To identify key symptoms of a problem 4. To reveal the root cause of a problem
4. To reveal the root cause of a problem
Fill in the blank: Data analysts focus much of their time working on _____, which are the questions or problems that analysis can help address for an organization. 1. relevant processes 2. measurable outcomes 3. stated objectives 4. business tasks
4. business tasks
Fill in the blank: An agriculture company collects data from an outside commodity market database and internal files containing information about livestock. This work occurs during the _____ phase of the data life cycle. 1. plan 2. manage 3. analyze 4. capture
4. capture
Fill in the blank: Analytical skills are the qualities and characteristics associated with using _____ to solve problems. 1. gut instinct 2. feedback 3. predictions 4. facts
4. facts Analytical skills are the qualities and characteristics associated with using facts to solve problems.
Fill in the blank: During the prepare step of the data analysis process, data is collected and _____ for analysis. 1. presented 2. interpreted 3. cleaned 4. stored
4. stored
Which of the following examples demonstrate data-driven decision-making? Select all that apply. A grocery store polls customers about their brand preferences, then uses the survey results to determine which items to stock. A financial institution asks bank tellers for their personal impressions about customers. A hospital uses statistics in health records to identify patients who may be at risk for certain diseases. A manufacturing company uses documented information about production processes to improve efficiency.
A grocery store polls customers about their brand preferences, then uses the survey results to determine which items to stock. A hospital uses statistics in health records to identify patients who may be at risk for certain diseases. A manufacturing company uses documented information about production processes to improve efficiency.
Which of the following statements correctly describe the archive and the destroy phases of the data life cycle? Select all that apply. A key reason for destroying data is to protect sensitive customer information. Shredders may be used to destroy data that is on paper. Archiving means storing data, although it may not be used again. The best way to protect private data at the end of a project is to archive it for future use.
A key reason for destroying data is to protect sensitive customer information. Shredders may be used to destroy data that is on paper. Archiving means storing data, although it may not be used again.
Which of the following statements accurately describe spreadsheet attributes and observations? Select all that apply. Observations are characteristics or qualities of data. An observation includes all of the attributes contained in its row. Attributes are also referred to as column headers. Column labels are attributes.
An observation includes all of the attributes contained in its row. Attributes are also referred to as column headers. Column labels are attributes.
Which of the following statements correctly describe analytical thinking? Select all that apply. Analytical thinking involves identifying and defining a problem, then solving it by using data in an organized manner. Correlation refers to identifying a relationship between two or more pieces of data. In analytical thinking, visualization is about picturing what should be achieved with data and how to get there. Big-picture thinking enables data professionals to consider an issue from a more global perspective.
Analytical thinking involves identifying and defining a problem, then solving it by using data in an organized manner. Correlation refers to identifying a relationship between two or more pieces of data. Big-picture thinking enables data professionals to consider an issue from a more global perspective.
Which of the following statements accurately describe spreadsheet attributes and observations? Select all that apply. Attributes are used to label spreadsheet columns. A spreadsheet row is also referred to as an observation. An observation includes all of the attributes contained in its row. An attribute includes all of the observations contained in its row.
Attributes are used to label spreadsheet columns. A spreadsheet row is also referred to as an observation. An observation includes all of the attributes contained in its row.
Which of the following statements accurately describe fairness considerations in data analysis? Select all that apply. Best practices for fairness in data analysis include considering all available data. A data professional may include self-reported data when prioritizing fairness. Fairness means ensuring that analysis does not create or reinforce bias. Fairness practices should begin during the prepare phase of the data analysis process.
Best practices for fairness in data analysis include considering all available data. A data professional may include self-reported data when prioritizing fairness. Fairness means ensuring that analysis does not create or reinforce bias.
Which of the following activities are part of the manage phase of the data life cycle? Select all that apply. Choose where the data will be stored Determine which tools will be most effective at safeguarding data Consider how best to care for data Support business goals with data insights
Choose where the data will be stored Determine which tools will be most effective at safeguarding data Consider how best to care for data
Which of the following statements accurately describe data visualizations and visualization tools? Select all that apply. The programming language R does not integrate with data visualization tools. Choosing the most appropriate visualization is typically driven by the amount of data and the analysis process. Spreadsheets contain built-in chart and graph features. Tableau enables the creation of interactive dashboards for users to share.
Choosing the most appropriate visualization is typically driven by the amount of data and the analysis process. Spreadsheets contain built-in chart and graph features. Tableau enables the creation of interactive dashboards for users to share.
What are some key benefits of data visualizations? Select all that apply. Complex data can be shared more effectively with nontechnical audiences in visualizations. Data visualizations do not require labels or descriptions. Maps help people identify patterns in data. Data visualizations help people gain insights from data more quickly.
Complex data can be shared more effectively with nontechnical audiences in visualizations. Maps help people identify patterns in data. Data visualizations help people gain insights from data more quickly.
Which of the following statements correctly describe data and data analysis? Select all that apply. Data is a collection of facts. Collecting data is part of the data analysis process. One goal of data analysis is to make predictions. Data analysis is the science of data.
Data is a collection of facts. Collecting data is part of the data analysis process.
Which of the following statements correctly describe data and data analysis? Select all that apply. Data is a collection of facts. Data analysis involves collecting, transforming, and organizing data. Data analysis is creating new ways of understanding the unknown using raw data. One goal of data analysis is to draw conclusions.
Data is a collection of facts. Data analysis involves collecting, transforming, and organizing data. One goal of data analysis is to draw conclusions.
Which of the following statements correctly describe data and data analysis? Select all that apply. Data is a collection of facts. Transforming data is part of the data analysis process. One goal of data analysis is to drive informed decision-making. Data analysis is the creation of data.
Data is a collection of facts. Transforming data is part of the data analysis process. One goal of data analysis is to drive informed decision-making.
What tasks may occur during the ask step of the data analysis process? Select all that apply. Select appropriate tools for cleaning the data Define the problem to be solved Consider the current state compared to the ideal state Stay engaged by having a dialogue with stakeholders
Define the problem to be solved Consider the current state compared to the ideal state Stay engaged by having a dialogue with stakeholders
Which of the following activities are part of the manage phase of the data life cycle? Select all that apply. Think about what kinds of tools can be used to keep data safe Determine how to best maintain data Apply data insights to make effective business decisions Decide where to store data
Determine how to best maintain data Decide where to store data
What tasks may occur during the ask step of the data analysis process? Select all that apply. Properly maintain a database Determine whether something needs to be fixed Communicate with stakeholders Use the five whys
Determine whether something needs to be fixed Communicate with stakeholders Use the five whys
Which of the following statements accurately describe fairness considerations in data analysis? Select all that apply. Effective data analysts help create systems that are fair and inclusive to everyone. A data professional may include self-reported data when prioritizing fairness. Best practices for fairness in data analysis include identifying surrounding factors. Fairness practices should begin during the analyze phase of the data analysis process.
Effective data analysts help create systems that are fair and inclusive to everyone. A data professional may include self-reported data when prioritizing fairness. Best practices for fairness in data analysis include identifying surrounding factors.
What are some strategies data professionals use to ensure their data analysis is unbiased? Select all that apply. Ensure anything shared with stakeholders is presented in context Prioritize fairness during data collection Disregard systemic factors that may affect the data Consider the complicated social contexts that could create bias
Ensure anything shared with stakeholders is presented in context Prioritize fairness during data collection Consider the complicated social contexts that could create bias
Which of the following activities are elements of data-driven decision-making? Select all that apply. Find relevant data Define the business need Exclude information that is based on human intuition Request observations from subject-matter experts
Find relevant data Define the business need Request observations from subject-matter experts
Which of the following statements correctly describe analytical thinking? Select all that apply. Identifying and defining a problem, then solving it by using data in an organized manner describes analytical thinking. If two pieces of data trend in the same direction, they may or may not be correlated. Visualization helps data analysts picture what they want to do with the data and how to be successful. Determining the fine points of a plan is an element of detail-oriented thinking.
Identifying and defining a problem, then solving it by using data in an organized manner describes analytical thinking. If two pieces of data trend in the same direction, they may or may not be correlated. Determining the fine points of a plan is an element of detail-oriented thinking.
What type of data visualization might an analyst create in order to communicate data insights to others? Select all that apply. Map Graph Report Chart
Map Graph Chart An analyst might create a graph, map, or chart in order to communicate data insights to others. A report is typically a written document, rather than a visual representation.
When building data into business strategy, why is it important to include insights from subject-matter experts? Select all that apply. They are familiar with the business problem. They are responsible for finding and analyzing data to uncover trends, patterns, and relationships. Their experience and human intuition are valuable to data-driven decision-making. They can review analysis results and help identify inconsistencies.
They are familiar with the business problem. Their experience and human intuition are valuable to data-driven decision-making. They can review analysis results and help identify inconsistencies.