Practice Introduction To Data Science (1) - Introduction to Data Science

Practice: Introduction to Data Science

Lesson 1Introduction to Data Science

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9 questions

Flashcard drill
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
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
Define data science in your own words.
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Think about what kinds of tools and methods are involved.
Question 2.
List two core areas of data science.
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Consider the steps in the data analysis process.
3Question 3.
What is data science primarily concerned with?
- Collecting data
- Extracting insights from data
- Visualizing data
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Think about the main goal of data analysis.
4Question 4.
True or false: A data scientist's role includes communicating insights through visualizations.
- True
- False
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Consider the importance of sharing data stories.
Question 5.
Evaluate how data science can influence decision-making in the healthcare industry, and propose a specific example.
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Consider how predictive models impact organizational processes.
Question 6.
Assume you are a data scientist working on a marketing campaign. Describe how you would approach collecting and analyzing data to improve customer engagement.
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Focus on the systematic approach to data gathering and analysis.

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