Question: 1 . Question 1 Fill in the blank: Through _ _ _ _ _ , you will learn how to use data to draw conclusions
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Fill in the blank: Through you will learn how to use data to draw conclusions and make predictions and improve performance.
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data values
data departments
data charts
data analysis
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Which of the following are examples of productivity metrics? Select all that apply.
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Milestones
Durations
Issues
Projections
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After reviewing the metrics for a past conference, you notice the actual cost was over budget due to a higher number of attendees. What type of metric does this represent?
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Projected
Cost variance
Planned
Milestone
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What tactics can project managers use to prioritize data? Select all that apply.
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Set hard deadlines
Align metrics to stakeholder priorities
Prioritize tasks that contribute most to the project goal
Identify and respond to signals
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Fill in the blank. Businesses and projects can use to reveal insights, help inform actions, drive results and find solutions based on data predictions.
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team opinions
visuals
data analysis
mathematical
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Fill in the blank: is the process of turning facts into a narrative to communicate something to your audience.
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Communication
Statistics
Storytelling
Data analysis
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What describes an item that contains visuals and summaries to present information quickly and clearly?
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Infographics
KPI
Line charts
Burndown charts
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You review your presentation slides and remove any content that dilutes your message. What presentation goal are you trying to achieve?
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Being precise
Being effective
Being memorable
Being flexible
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As a project manager, you are ensuring all team members are made aware of your organization's data security and privacy protocols. Which data analysis best practice does this represent?
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Sampling bias
Using security tools
Increasing privacy awareness
Anonymizing data
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As a project manager analyzing data, you create user surveys for your company to get more feedback on processes. Which data analysis best practice does this represent?
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Process
Analyze
Ask
Prepare
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As a project manager creating a story, you ask yourself questions like: Does the story answer the initial question and demonstrate the solution?Is it original and does it offer a unique point of view? and What is the compelling takeaway for the audience? In what storytelling step should you ask these questions?
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Filter and analyze the data
Shape the story
Find the data
Define the audience
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How do graphs and charts help present data? Select all that apply.
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Compare values and demonstrate how individual parts contribute to a whole
Inform the audience about a new trend or valuable piece of information
Demonstrate the relationships between data sets
Puzzle the audience to think more intensely and remember the data
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