harnessing the power of data with power bi coursera week 1 answers

Self-review: Identifying stakeholders

1. Which stakeholder is most likely to provide insights into customer preferences and buying patterns?

  • Igor (Finance Manager)
  • Jane (IT Manager)
  • Ricci (Customer Service Manager)
  • Alex (Security Operations Manager)

 

2. When preparing interview questions for stakeholders, what should you focus on to ensure the data analysis project achieves its goals?

  • Asking questions that align with the stakeholder’s role and responsibilities in relation to the project.
  • Inquiring about company policies unrelated to the project.
  • Asking technical questions about the company’s IT infrastructure.
  • Asking personal questions to build rapport with the stakeholders.

 

3. Which questions would be most appropriate to ask Renee, the marketing director, to steer the data analysis project toward achieving its goals?

  • Can you provide any examples of successful targeted marketing campaigns?
  • What are the legal implications of data privacy in marketing campaigns?
  • How do you ensure the security of the company’s data?
  • How does the company manage its IT infrastructure?

 

Knowledge check: The role of the Data Analyst

4. True or False: Data preparation involves converting data into a format that is more suitable for analysis.

  • True
  • False

 

5. What is the goal of the data analysis process?

  • Providing data visualizations.
  • Extracting valuable insights and supporting decision-making.
  • Collecting and organizing data.
  • Creating data models.

 

6. Which type of analysis involves using algorithms to segment customers into distinct groups based on their behavior?

  • Time series analysis
  • Descriptive analysis
  • Cluster analysis

7. What is the function of data management in the data analysis process?

  • Designing data models.
  • Ensuring the integrity, consistency, and security of data.
  • Creating data visualizations.
  • Digging deep into data to uncover insights.

 

8. Which of the following is a part of the data preparation process? Select all that apply.

  • Creating data models.
  • Selecting the best machine learning algorithm.
  • Filling in missing values.
  • Removing inaccuracies, inconsistencies, or duplicate records.

 

Self-review: Stakeholder experience

9. Which best practice is recommended when designing visualizations for different stakeholder groups?

  • Use the same visualization type for all stakeholders.
  • Identify the goals and priorities of each stakeholder group.
  • Make the visualization as colorful as possible.
  • Choose the most complex visualization type.

 

10. Which of the following is a recommended approach to ensure that your visualization effectively communicates the intended insights?

  • Use as many different visualization types as possible.
  • Test your visualization with a small group of users who represent your target audience.
  • Only use simple visualization types, as stakeholders may not understand the data analysis.
  • Ignore stakeholder feedback, as they might not understand the data analysis.

 

11. Why is it important to use appropriate colors and design elements when creating data visualizations? Select all that apply.

  • To emphasize certain aspects of the visualization over others.
  • To make the visualizations easier to understand.
  • To ensure that the visualization is consistent with the brand and resonates with the stakeholder audience.
  • To promote collaboration and shared understanding among stakeholders.
 

 

Self-review: Evaluating an analysis process

12. True or False: The data analysis process is complete once the data analyst has generated data-driven recommendations.

  • False
  • True

 

13. Which of the following are data-driven recommendations that could help the café improve its performance? Select all that apply:

  • Changing the café’s name
  • Optimizing menu offerings
  • Adjusting pricing
  • Establishing a social media presence

 

14. In the context of the café, what should the data analyst do in preparation for data collection to ensure the effectiveness of the data analysis process?

  • Implement data-driven recommendations for the café.
  • Foster a data-driven culture among the café’s staff.
  • Create visually appealing charts and graphs for the café’s menu.
  • Consult with Taylor and other stakeholders to better understand the goals for the analysis.

Knowledge check: Stages in data analysis

15. Which of the following is the most likely outcome of effectively implementing data-driven recommendations?

  • Decreased reliance on data analysis
  • Reduced employee turnover
  • Simplified decision-making processes
  • Increased customer satisfaction

16. Which of the following is a key factor in promoting a data-driven culture within an organization?

  • Limiting the use of data visualization tools
  • Relying on historical data for decision-making
  • Encouraging open communication and collaboration
  • Focusing only on quantitative data

 

17. What is the primary reason for monitoring the results of implemented data-driven recommendations?

  • To update the data visualization techniques.
  • To make immediate changes to business operations.
  • To collect additional data for future analysis.
  • To determine the effectiveness of the data-driven strategies.

18. Which of the following is a key advantage of using multiple data sources for the data analysis process?

  • Simplifying data analysis techniques
  • Reducing the time required for data collection
  • Minimizing the need for data cleaning
  • Gaining a more comprehensive understanding of the business

19. What is the main purpose of data cleaning in the data analysis process?

  • To gather data from various sources.
  • To ensure the accuracy and reliability of the data.
  • To analyze relationships between variables.
  • To visualize the data using charts and graphs.

 

Self-review: Generate a visualization

20. Based on your analysis of the Stacked Column Chart visual, which product category has the highest sum of order totals for size M?

  • Road Bikes
  • Touring Bikes
  • Mountain Bikes
  • E-Bikes

 

21. In the donut chart displaying the sum of order totals for various product categories, which category has the second highest sum of order totals?

  • Touring Bikes
  • Road Bikes
  • Mountain Bikes
  • E-Bikes

 

22. In step 2 of the exercise, what was the purpose of creating slicers?

  • To show trends over time or other continuous variables.
  • To allow users to interactively narrow down the data displayed within the report.
  • To visualize geographic data.
  • To display a single data point or key performance indicator.

 

Knowledge check: Introduction to Power BI

23. What are the main benefits of using Microsoft Power BI for organizations? Select all that apply.

  • It integrates with a variety of data sources.
  • It offers a wide range of visualization options.
  • It reduces the need for technical expertise.

  • It helps organizations make better data-driven decisions.

 

24. What are the benefits of installing Microsoft Power BI Desktop from the Microsoft Store? Select all that apply.

  • Smaller downloads for each update
  • IT roll-out is enabled
  • Admin privilege is required
  • Automatic updates

25. What is the primary purpose of calculations in Microsoft Power BI?

  • To manipulate data and create new measures or insights.
  • To share data from various sources.
  • To select the correct visualization type for the data.
  • To create visually appealing graphics.

 

26. What chart type is most appropriate for comparing the proportions of different categories in a dataset?

  • Line chart
  • Scatter plot
  • Stacked bar chart
  • Pie chart

27. Which of the following are valid steps when creating a visualization in Microsoft Power BI Desktop? Select all that apply.

  • Customize chart titles and colors
  • Import data
  • Design a layout using a graphic design software package
  • Create interactive filters

 

Module quiz: Data analysis in business

28. Which stage in the data analysis process is specifically focused on creating a data model that represents the structure, relationships, and constraints of the data?

  • Analyze
  • Prepare
  • Model
  • Visualize

 

29. True or False: The primary goal of data visualization in the data analysis process is to explore data, identify patterns, and communicate findings effectively.

  • True
  • False

 

30. What is the main responsibility of a Database Administrator (DBA)?

  • Creating the blueprint for data management systems
  • Ensuring the maintenance, performance, and security of an organization’s databases
  • Building and maintaining data infrastructure
  • Creating predictive models

 

31. What is an important action to ensure your data report is accessible to users with disabilities?

  • Use complex color schemes
  • Use small font sizes
  • Reduce the depth of data cleaning and preparation
  • Follow the Web Content Accessibility Guidelines (WCAG)

 

32. What are some reasons to establish a data storage and refresh schedule for your reports? Select all that apply.

  • To make the reports visually appealing.
  • To maintain data consistency across different reports
  • To reduce the number of users accessing the reports
  • To ensure the data is always up-to-date

 

33. What are some primary purposes of data insights in the context of business decision-making? Select all that apply.

  • To create visually appealing reports
  • To collect as much data as possible
  • To optimize business processes and improve efficiency
  • To inform business decisions and drive growth

34. What is the primary purpose of data insights in the final stage of data analysis?

  • To select the most appropriate data visualization techniques
  • To validate the data collection methods
  • To identify trends, patterns, and opportunities.
  • To automate the entire data analysis process

 

35. Which of the following Microsoft Power BI features enable users to manipulate, clean, and transform data, or support advanced analytics? Select all that apply.

  • Fields Pane
  • Data Analysis Expressions (DAX)
  • Visualizations Pane
  • Query Editor

 

36. Which non-technical skills are crucial for data analysts when presenting findings to stakeholders with different levels of technical knowledge? Select all that apply.

  • Effective communication
  • Diplomacy
  • Data visualization design
  • Problem-solving

37. What does the scope of data refer to in the context of data analysis? Select all that apply.

  • The context within which the data is collected, organized, and analyzed
  • The boundaries or limits of the data
  • The format or structure of the data
  • The accuracy and precision of the data

 

38. In the data analysis process, which stages involve working with the data model representing the data's structure, relationships, and constraints? Select all that apply.

  • Visualize
  • Prepare
  • Model
  • Analyze

39. In the data analysis process, what are the goals of data visualization? Select all that apply.

  • To explore data and identify patterns
  • To clean and pre-process raw data
  • To communicate findings effectively
  • To create a data model

 

40. True or False: The main responsibility of a Database Administrator (DBA) is building and maintaining the data infrastructure, including data pipelines, storage systems, and processing platforms.

  • True
  • False

41. When creating accessible data reports for users with disabilities, what are some key considerations to keep in mind? Select all that apply.

  • Use larger, legible font sizes
  • Limit access to the report
  • Follow the Web Content Accessibility Guidelines (WCAG)
  • Use clear and easy-to-understand color schemes

 

42. In the realm of business decision-making, what is the central objective of data insights?

  • To implement the latest technology trends
  • To create visually appealing reports
  • To inform business decisions, drive growth, and improve efficiency
  • To collect as much data as possible

 

43. In the final stage of data analysis, what is the primary purpose of data insights? Select all that apply.

  • To identify trends, patterns, and opportunities
  • To automate the entire data analysis process
  • To validate the data collection methods
  • To support informed decision-making

 

44. What Microsoft Power BI feature is primarily used for cleaning, transforming, and reshaping data according to user requirements?

  • Visualizations Pane
  • Data Analysis Expressions (DAX)
  • Fields Pane
  • Query Editor

45. True or False: Effective communication is the most crucial non-technical skill for data analysts when presenting findings to stakeholders with different levels of technical knowledge.

  • True
  • False

 

46. What does the scope of data refer to in the context of data analysis?

  • The format or structure of the data
  • The accuracy and precision of the data
  • The context within which the data is collected, organized, and analyzed
  • The number of data sources used

 

47. Which non-technical skill is crucial for data analysts when presenting findings to stakeholders with different levels of technical knowledge?

  • Understanding programming languages
  • Data visualization design
  • Effective communication
  • Diplomacy

 

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