Thinking and Acting Like a Data Scientist Exercises (Part 2)

Thinking and Acting Like a Data Scientist Exercises (Part 2)

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Question 1 of 6

1. Question
Knowing when to stop is an important skill for data scientists.
- True
- False
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Question 2 of 6

2. Question
What is symmetry of outcome
- Outcomes can be valuable and not valuable
- Finances can be profitable and not profitable
- Accepting that both positive and negative results are valuable
- Data can relevant and not relevant
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Question 3 of 6

3. Question
Data Scientists should have acceptance of limitations. What does this mean?
- Be aware of the limitations of vendor products
- Be aware of the power and limitations of machine learning and data analytics algorithms and tools.
- Accept the fact that both positive and negative results are valuable.
- Accepting the irrelevance of data
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Question 4 of 6

4. Question
Critical thinking includes which of the following? (Select all that apply):
- Observation
- Analysis
- Inference
- Deployment
- Application development skills
- Asking the right Questions
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Question 5 of 6

5. Question
Analytical thinking includes which of the following? (Select all that apply):
- Knowing math skills matter
- Knowing what to analyze
- Knowing what facts matter
- Knowing how to interpret results
- Knowing how to select vendor products
- Knowing how to say no
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Question 6 of 6

6. Question
What is “data intuition”
- Knowing how to clean data
- Knowing what analytical approach best suits the data
- Knowing what the business will support for data scientists
- Knowing which vendor product is the best fit
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