Week 2: Data-driven decisions

1. Which of the following statements describes an algorithm?

  • A process or set of rules to be followed for a specific task
  • A method for recognizing the current problem or situation and identifying the options
  • A tool that enables data analysts to spot something unusual
  • A technique for focusing on a single topic or a few closely related ideas

2. Fill in the blank: If a data analyst is measuring qualities and characteristics, they are considering _____ data.

  • quantitative
  • unbiased
  • cleaned
  • qualitative

3. In data analytics, reports use live, incoming data from multiple datasets; dashboards use static collections of data.

  • True
  • False

4. A pivot table is a data-summarization tool used in data processing. Which of the following tasks can pivot tables perform? Select all that apply.

  • Group data
  • Clean data
  • Calculate totals from data
  • Reorganize data

5. A metric is a single, quantifiable type of data that can be used for what task?

  • Setting and evaluating goals
  • Defining a problem type
  • Cleaning data
  • Sorting and filtering data

6. Which of the following options describes a metric goal? Select all that apply.

  • Evaluated using metrics
  • Indefinite
  • Measurable
  • Based on theory

7. Fill in the blank: Return on investment compares the _____ of an investment to the net profit gained from that investment.

  • success
  • purpose
  • cost
  • timing

8. Fill in the blank: A data analyst is using data to address a large-scale problem. This type of analysis would most likely require _____. Select all that apply.

  • small data
  • data that reflects change over time
  • data represented by a limited number of metrics
  • big data

9. Fill in the blank: In data analytics, qualitative data _____. Select all that apply.

  • is always time bound
  • measures qualities and characteristics
  • is subjective
  • measures numerical facts

10. Fill in the blank: A _____ is a data-summarization tool used to sort, reorganize, group, count, total, or average data.

  • report
  • dashboard
  • function
  • pivot table

11. Fill in the blank: A _____ goal is measurable and evaluated using single, quantifiable data.

  • metric
  • finite
  • conceptual
  • benchmark

12. Describe the main differences between big and small data.

  • Small data is typically stored and organized in databases. Big data is typically stored and organized in spreadsheets.
  • Small data is less useful to data analysts. Big data is more useful to data analysts.
  • Small data is specific and concerns a short time period. Big data is less specific and concerns a longer time period.
  • Small data has been cleaned and sorted. Big data has not yet been cleaned or sorted.

13. In data analytics, a pattern is defined as a process or set of rules to be followed for a specific task.

  • True
  • False

14. In data analytics, quantitative data measures qualities and characteristics.

  • True
  • False

15. In data analytics, reports use data that doesn’t change once it’s been recorded. Which of the following terms describes this type of data?

  • Comprehensive
  • Real-time
  • Monitored
  • Static

16. Which data-summarization tool do data analysts use to sort, reorganize, group, count, total, or average data?

  • A function
  • A pivot table
  • A dashboard
  • A report

17. A metric is a specific type of data that companies use to identify a problem domain.

  • True
  • False

18. Fill in the blank: A metric goal is a _____ goal set by a company that is evaluated using metrics.

  • finite
  • theoretical
  • conceptual
  • measurable

19. A data analyst is using data from a short time period to solve a problem related to someone’s day-to-day decisions. They are most likely working with small data.

  • True
  • False

20. If a data analyst compares the cost of an investment to the net profit of that investment over a period of time, they’re analyzing the investment scope.

  • True
  • False

21. What is an example of using a metric? Select all that apply.

  • Using column headers to sort and filter data
  • Using annual profit targets to set and evaluate goals
  • Using key performance indicators, such as click-through rates, to measure revenue
  • Using a pie chart to visualize data

22. Fill in the blank: In data analytics, a process or set of rules to be followed for a specific task is _____.

  • a pattern
  • a domain
  • an algorithm
  • a value

23. Fill in the blank: Return on investment compares the cost of an investment to the _____ of that investment.

  • purpose
  • timing
  • net profit
  • future success

24. In data analytics, dashboards monitor data that is a continuous source of incoming information. Which of the following terms describes this type of data?

  • Comprehensive
  • Live
  • Filtered
  • Sorted

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