Week 2 Flashcards

1
Q

Analytical thinking can be broken down in the five areas.

What is number 1?

  1. ___?___
  2. Strategy
  3. Problem-orientation
  4. Correlation
  5. Big picture and detail-oriented thinking.
A

Visualization. Why?

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2
Q

Analytical thinking can be broken down in the five areas.

What is number 2 ?

  1. Visualiztion
  2. ___?___
  3. Problem-orientation
  4. Correlation
  5. Big picture and detail-oriented thinking.
A

Strategy

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3
Q

Analytical thinking can be broken down in the five areas.

What is number 3 ?

  1. Visualiztion
  2. Strategy
  3. ___?___
  4. Correlation
  5. Big picture and detail-oriented thinking.
A

Problem-orientation. Why?

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4
Q

Analytical thinking can be broken down in the five areas.

What is number 3 ?

  1. Visualiztion
  2. Strategy
  3. ___?___
  4. Correlation
  5. Big picture and detail-oriented thinking.
A

Problem-orientation

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5
Q

Analytical thinking can be broken down in the five areas.

What is number 5 ?

  1. Visualiztion
  2. Strategy
  3. Problem-Orientation
  4. Correlation
  5. ___?___
A

Big picture and detail-oriented thinking.

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6
Q

What is Visualization?

A

the graphical representation of information

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7
Q

Data Strategizing helps data analysts see….?

A

what they want to achieve with the data and how they can get there.

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8
Q

Data Analysts use the problem oriented approach to ….?

A

identify , describe and solve problems

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9
Q

Correlation does not equal …?

A

causation

meaning that if two pieces of data are trending in the same directions, that doesn’t mean they are related.

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10
Q

In data analysis the solutions are almost never ….?

A

right in front of you.

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11
Q

Define a Root Cause:

A

the root cause is reason why a problem occurs.

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12
Q

What tool could we use to find the root cause?

A

the Five Whys.

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13
Q

What is another tool to use to find the root cause? Hint: it relates to fish.

A

the fish bone diagram.

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14
Q

Describe Gap Analysis:

A

Gap Analysis: a method for examining and evaluating how a process works currently in order to get where you want to be in the future.

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15
Q

The general approach of Gap analysis is to ….?

A

understanding whre you are now compared to where you want to be.

Then you

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16
Q

Questions that Data Analysts ask a lot:

what is #1 ?

  1. ___?___
  2. Where are the gaps in our process?
  3. What have we not considered before?
A

What is the root cause?

17
Q

Questions that Data Analysts ask a lot:

what is #2 ?

  1. What is the root cause?
  2. ___?___
  3. What have we not considered before?
A

Where are the gaps in our process?

18
Q

Questions that Data Analysts ask a lot:

what is #2 ?

  1. What is the root cause?
  2. ___?___
  3. What have we not considered before?
A

Where are the gaps in our process? Why?

19
Q

Questions that Data Analysts ask a lot:

what is #2 ?

  1. What is the root cause?
  2. Where are the gaps in our process?
  3. ___?___
A

What have we not considered before?

20
Q

What is data-driven decision-making?

A

using facts to guide business strategy.

21
Q

Data analysts take their thinking to the next lever by ….?

A

by using context to make predictions, research answers, and evetually draw conclusions.

22
Q
A