Course 2 / Module 1 / Questions & Problems / Google Data Analytics Flashcards

1
Q

What are my stakeholders saying their problems are? For what phase is this question good to ask?

A

Phase 1: Ask

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2
Q

How can I help the stakeholders resolve their questions? For what phase is this question good to ask?

A

Phase 1: Ask

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3
Q

What do I need to figure out how to solve this problem? For what phase is this question good to ask?

A

Phase 2: Prepare

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4
Q

What research do I need to do? For what phase is this question good to ask?

A

Phase 2: Prepare

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5
Q

What data errors or inaccuracies might get in my way? For what phase is this question good to ask?

A

Phase 3: Process

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6
Q

How can I clean my data to make it more consistent? For what phase is this question good to ask?

A

Phase 3: Process

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7
Q

What story is my data telling me? For what phase is this question good to ask?

A

Phase 4: Analyze

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8
Q

How will my data help me solve this problem? For what phase is this question good to ask?

A

Phase 4: Analyze

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9
Q

Who needs my company’s product or service? For what phase is this question good to ask?

A

Phase 4: Analyze

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10
Q

How can I make what I present engaging and easy to understand? For what phase is this question good to ask?

A

Phase 5: Share

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11
Q

What would help me understand this if I were the listener? For what phase is this question good to ask?

A

Phase 5: Share

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12
Q

How can I use feedback to meet the stakeholder’s needs? For what phase is this question good to ask?

A

Phase 6: Act

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13
Q

What is making predictions in data analysis?

A

Using past data to guess future outcomes.

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14
Q

What is categorizing things in data analysis?

A

Sorting data into groups based on similarities.

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15
Q

What is spotting something unusual in data analysis?

A

Finding outliers or data that doesn’t follow the pattern.

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16
Q

What is identifying themes in data analysis?

A

Finding common ideas or patterns in data.

17
Q

What is discovering connections in data analysis?

A

Finding relationships between different data points.

18
Q

What is finding patterns in data analysis?

A

Recognizing trends or repeating events in data.

19
Q

What does ‘Specific’ mean in SMART questions?

A

Clear and focused on the problem.

20
Q

What does ‘Measurable’ mean in SMART questions?

A

Can be counted or compared.

21
Q

What does ‘Action-oriented’ mean in SMART questions?

A

Leads to a plan or action.

22
Q

What does ‘Relevant’ mean in SMART questions?

A

Directly related to the problem you’re solving.

23
Q

What does ‘Time-bound’ mean in SMART questions?

A

Focused on a specific time period.