Diagnostic quiz c2w1

In the SMART methodology, questions that encourage change are described how? Specific Action-oriented Time-bound Relevant

Action-oriented

Categorizing things is one of the six problem types data analysts solve. This type of problem might involve which of the following actions?Using data to envision how something might happen in the future Noticing something outside of the ordinary Analyzing how one action leads to or affects another Classifying or grouping items

Classifying or grouping items

In data analytics, how are dashboards different from reports? Dashboards monitor live, incoming data from multiple datasets and organize the information into one central location. Reports are static collections of data. Dashboards contain static data. Reports contain data that is constantly changing. Dashboards provide a high level look at historical data. Reports provide a more detailed look at live, interactive data. Dashboards are used to share updates with stakeholders only periodically. Reports give stakeholders continuous access to data.

Dashboards monitor live, incoming data from multiple datasets and organize the information into one central location. Reports are static collections of data.

In the function =SUM(G1:G35), identify the range. =SUM G35 =SUM(G1) G1:G35

G1:G35

Asking questions including, "Does my analysis answer the original question?" and "Are there other angles I haven't considered?" enable data analysts to accomplish what tasks? Select all that apply. Help team members make informed, data-driven decisions Identify primary and secondary stakeholders Use data to get to a solid conclusion Consider the best ways to share data with others

Help team members make informed, data-driven decisions Use data to get to a solid conclusion Consider the best ways to share data with others

Finding patterns is one of the six problem types data analysts aim to solve. This type of problem might involve which of the following?Noticing something outside of the ordinary Taking categorized items and grouping them into broader topic areas Identifying trends from historical data Analyzing how one action leads to or affects another

Identifying trends from historical data

Small data differs from big data in what ways? Select all that apply. Small data involves datasets concerned with a small number of specific metrics. Big data involves datasets that are larger and less specific. Small data is typically stored in a database. Big data is typically stored in a spreadsheet. Small data is effective for analyzing day-to-day decisions. Big data is effective for analyzing more substantial decisions. Small data focuses on short, well-defined time periods. Big data focuses on change over a long period of time.

Small data is effective for analyzing day-to-day decisions. Big data is effective for analyzing more substantial decisions. Small data focuses on short, well-defined time periods. Big data focuses on change over a long period of time. Small data involves datasets concerned with a small number of specific metrics. Big data involves datasets that are larger and less specific.

To address a vague, complex problem, a data analyst breaks it down into smaller steps. They use a process to help them recognize the current problem or situation, organize available information, reveal gaps and opportunities, and identify options. What does this scenario describe? Gap analysis Data-driven decision-making Structured thinking Analytical thinking

Structured thinking

Fill in the blank: In data analytics, qualitative data _____. Select all that apply. measures numerical facts measures qualities and characteristics is specific is subjective

measures qualities and characteristics is subjective

Fill in the blank: Some of the most common symbols used in formulas include + (addition), - (subtraction), * (multiplication), and / (division). These are called _____. counts domains references operators

operators