Practice Challenges In Data Science (13.6) - Applications of Data Science

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10 questions

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6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is data privacy?
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Think about regulations regarding personal data.
Question 2.
Name one factor that affects data quality.
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Consider how data is prepared.
3Question 3.
What does data privacy entail?
- Protecting information
- Sharing data
- Ignoring regulations
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Consider why data regulations exist.
4Question 4.
Is careful data handling important for data quality?
- True
- False
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Think about steps taken before data analysis.
Question 5.
Develop a plan to improve data quality for a given dataset that has missing values.
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Consider different methods for filling in or cleaning missing data.
Question 6.
Explain how organizations can address bias in machine learning models and provide an example.
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Think about what types of biases exist in data collection.

6 more questions in this section. Enroll free to practise them all.