foundations of data science coursera week 1 quiz answers

Assess your readiness for the Advanced Analytics Data Certificate

1. What is data science?

  • A process used to solve complex problems in a user-centric way
  • A tool for organizing data elements and how they relate to one another
  • The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making
  • A field of study that uses raw data to create new ways of modeling and understanding the unknown

2. What is the key difference between qualitative and quantitative data?

  • Qualitative data describes the kind of data being analyzed; quantitative data describes how much data is being analyzed.
  • Qualitative data is about the quality of a product or service; quantitative data is about how much of that product or service is available in the marketplace.
  • Qualitative data is subjective; quantitative data is specific.
  • Qualitative data measures qualities and characteristics; quantitative data measures numerical facts.

3. Which of the following statements accurately describe wide and long data? Select all that apply.

  • Wide data subjects can have multiple rows that hold the values of subject attributes.
  • Long data subjects can have data in multiple columns.
  • Long data subjects can have multiple rows that hold the values of subject attributes.
  • Wide data subjects can have data in multiple columns.

4. Structured data is likely to be found in which of the following formats? Select all that apply.

  • Spreadsheet
  • Audio file
  • Database table
  • Digital photo

5. Fill in the blank: A Boolean data type can have _____ possible value(s).

  • three
  • two
  • one
  • infinite

6. What is the term for the individuals who have invested time and resources in a project and are interested in its outcome?

  • Subject-matter experts
  • Executives
  • Stakeholders
  • Project sponsors

7. When collecting data for a study, what are some reasons to consider sample size? Select all that apply.

  • To collect data that represents a diverse set of perspectives
  • To include as many participants as possible in the study
  • To make sure a few unusual responses don’t skew results
  • To eliminate certain segments of a population

8. The SMART methodology can be used to ask a question that promotes change. What type of SMART question leads to change?

  • Transformational
  • Motivational
  • Action-oriented
  • Results-focused

9. Which of the following inquiries are leading questions? Select all that apply.

  • How did you learn about our company?
  • In what ways did our product meet your needs?
  • How satisfied were you with our customer representative?
  • What do you enjoy most about our service?

10. What are the key characteristics of a metric? Select all that apply.

  • Metrics are quantifiable.
  • Metrics are used for measurement.
  • Metrics can be used to evaluate performance.
  • Metrics are unorganized collections of facts.

11. Which type of bias is the tendency to construe ambiguous situations in a positive or negative way?

  • Confirmation bias
  • Interpretation bias
  • Observer bias
  • Cultural bias

12. Before completing a survey, an individual acknowledges reading information about how and why the data they provide will be used. What concept does this describe?

  • Transaction transparency
  • Openness
  • Privacy
  • Consent

13. Which spreadsheet tool changes how cells appear when values meet a specific condition?

  • Data validation
  • Conditional formatting
  • Protected ranges
  • Alternating colors

14. Fill in the blank: In a spreadsheet, the SPLIT function divides a text string around a ___, then puts each fragment into a new, separate cell.

  • mark
  • indicator
  • delimiter
  • substring

15. Fill in the blank: A programming language is a system of words and symbols used to _____ for computers.

  • write instructions
  • detect malware
  • repair infrastructure
  • install hardware

16. What are the main benefits of using a programming language to work with data? Select all that apply.

  • Easily reproduce and share work
  • Clarify the steps of analysis
  • Save time
  • Automate decision-making

17. In order for code to work properly, it’s necessary to follow the predetermined structure of the coding language. This includes all required words and symbols, as well as their proper placement. What is this structure called?

  • Syntax
  • Standard
  • Script
  • Symbol

18. What is the term for programming code that is freely available and may be modified and shared by the people who use it?

  • Common-design
  • One-access
  • Open-source
  • Non-dependant

19. Data professionals use programming languages to enable which of the following? Select all that apply.

  • Data governance
  • Data cleaning
  • Data transformation
  • Data visualization

20. What type of data visualization should be used to demonstrate how often data values fall into certain ranges?

  • Histogram
  • Bar chart
  • Tree map
  • Correlation chart

21. A dashboard is designed to share insights about the housing market in a city. What type of data visualization would be most effective at demonstrating how the city’s annual home sales have risen over time?

  • Area chart
  • Line chart
  • Scatter plot
  • Pie chart

22. What type of visualizations enable the data in a presentation to automatically update and change over time?

  • Dynamic
  • Discrete
  • Customized
  • Static

23. Why is it more effective to label a data visualization instead of using a legend? Select all that apply.

  • Labels make the data visualization more accessible because they don’t rely on the ability to interpret color.
  • Labels help keep people’s attention on relevant data by redirecting their focus away from outliers.
  • Labels can be placed near the data, whereas legends are typically positioned away from the data.
  • Labels allow for text explanations to be placed directly on the visualization.

24. A data visualization reveals two variables in the data that rise and fall at the same time. When variables are related in this way, what is likely happening?

  • Causation
  • Correlation
  • Divergence
  • Polarity

25. Which of the following are appropriate uses for filters in data visualization tools? Select all that apply.

  • Hiding outliers that do not support the hypothesis
  • Limiting the number of rows or columns in view
  • Highlighting individual data points
  • Providing data to different users based on their particular needs

Weekly challenge 1

26. Fill in the blank: To gain insights, businesses rely on _____ to acquire, organize, and interpret the data that informs internal projects and processes.

  • information technology professionals
  • clients
  • data professionals
  • stakeholders

27. What process enables users to express how to perform a task by using data instead of explicit instructions?

  • Visualization
  • Statistics
  • Data science
  • Machine learning

28. Before creating predictive models to identify trends and inform best practices, a company must evaluate its data using what type of measurement?

  • Attributes
  • Metrics
  • SMART methodology
  • Best practices

29. What are some key advantages of the Python programming language? Select all that apply.

  • It is very flexible.
  • It is one of the easiest programming languages to write.
  • It has an enormous online community and other helpful resources.
  • It was created within the data community.

30. Fill in the blank: Jupyter Notebook is a web-based computing platform that enables data professionals to _____ in real-time.

  • run code
  • iterate on a business process
  • visualize data
  • query databases

31. Fill in the blank: ______ is a way of distributing computational tasks over a bunch of nearby processors (i.e., computers) that is good for speed and resiliency and does not depend on a single source of computational power.

  • Virtual reality
  • Artificial intelligence
  • Quantum computing
  • Edge computing

32. To gain insights about projects and processes, organizations acquire, organize, and interpret data. What type of business professionals help complete these tasks?

  • Stakeholders
  • Data professionals
  • Information technology professionals
  • Clients

33. Fill in the blank: Machine learning differs from automation in that it enables users to express how to perform a task by using _____ instead of explicit instructions.

  • mapping
  • sampling
  • data
  • schemas

34. Fill in the blank: Before creating predictive models to identify trends and inform best practices, a company must _____ using metrics.

  • evaluate its data
  • present findings to stakeholders
  • encode its data
  • iterate on its processes

35. A data professional prepares to give a presentation to their colleagues. They want to communicate the story told by the data using charts and graphs made with Tableau. This helps them simplify highly technical information for non-technical stakeholders. Which of the following communication practices does this scenario describe? Select all that apply.

  • Explaining data using a graphical interface
  • Creating a statistical model with code
  • Sharing complex data
  • Enriching data insights with visual elements

36. Fill in the blank: Edge computing is a way of distributing ____ over a bunch of nearby processors that is good for speed and resilience and does not depend on a single source of computational power.

  • coding libraries
  • data sources
  • computational tasks
  • models

37. What is the term for someone who explores, cleans, analyzes, and visualizes data?

  • Stakeholder
  • Data professional
  • Information technology professional
  • Client

38. A company evaluates its data using metrics in order to achieve what goals? Select all that apply.

  • To generate more data
  • To create predictive models
  • To identify trends
  • To inform best practices

39. What web-based computing platform can be used by data professionals when interacting with Python?

  • SQL
  • HTML
  • Jupyter Notebook
  • R Markdown

40. Fill in the blank: Edge computing is a way of distributing computational tasks over a bunch of nearby processors that is good for ____ and resilience and does not depend on a single source of computational power.

  • speed
  • artificial intelligence
  • augmented reality
  • algorithms

41. What is the Jupyter Notebook?

  • A computer programming language used to communicate with a database
  • A range of values that conveys how likely it is that a statistical estimate reflects the population
  • A file containing a chronologically ordered list of modifications made to a project
  • A web-based computing platform for running code in real time

42. A data professional wants to strengthen their communication skills. They study methods for simplifying highly technical information and telling compelling data stories. They also practice using Tableau to design compelling charts and graphs. Which of the following communication practices does this scenario describe? Select all that apply.

  • Sharing complex data
  • Explaining data using a graphical interface
  • Creating a statistical model with code
  • Enriching data insights with visual elements

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