Practice What Is Data Science? (16.2) - Concepts of Data Science

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8 questions

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2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is Data Science?
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Think of how different subjects come together.
Question 2.
Name one tool used in Data Science.
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Think of programming languages or software that analyze data.
3Question 3.
What is Data Science primarily concerned with?
- Making assumptions
- Extracting knowledge from data
- Studying physical sciences
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Think about what Data Science aims to achieve.
4Question 4.
True or False: Data cleaning is the first step in the Data Science process.
- True
- False
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Recall the order of the data science lifecycle.
Question 5.
A company has accumulated a vast dataset for sales over several years. Describe how the Data Science process can help them improve their sales strategy.
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Think about each step in the Data Science lifecycle.
Question 6.
Discuss the importance of Data Visualization in communicating findings from a Data Science project. Give an example.
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Consider how visuals make information more digestible.

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