Practice Evolution From Basic To Advanced Data Science (1.6) - Introduction to Advanced Data Science

Practice: Evolution from Basic to Advanced Data Science

Lesson 1.6Introduction to Advanced Data Science

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9 questions

Flashcard drill
5 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.
What is structured data?
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Think of how information is organized in a spreadsheet.
Question 2.
Name a tool used in basic data science.
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Consider common software for data manipulation.
3Question 3.
What type of data is handled in advanced data science?
- Structured data
- Unstructured data
- Both
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Consider the nature of data that requires complex analysis techniques.
4Question 4.
True or False: Basic data science primarily focuses on prescriptive analytics.
- True
- False
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Recall the main focuses of both basic and advanced data science.
Question 5.
Analyze the implications of using unstructured data for modeling in advanced data science. Discuss its advantages and potential disadvantages.
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Consider examples where unstructured data provides valuable insights despite its challenges.
Question 6.
Create a plan for transitioning from basic data science practices to advanced methodologies in an organization. Address skills needed, tool selections, and strategic deployment.
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Think about the skills gap and resource allocation for implementing new tools.

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