Practice Career Roles In Data Science (3) - Capstone Project & Career Path

Practice: Career Roles in Data Science

Lesson 3Capstone Project & Career Path

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9 questions

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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.
Define the role of a Data Analyst.
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Think about how they help businesses make decisions.
Question 2.
What is one tool commonly used by Data Scientists?
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Remember the programming languages used in data science.
3Question 3.
What is the primary role of a Data Analyst?
- Extract and visualize data
- Design machine learning models
- Manage data pipelines
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Think about who provides actionable insights.
4Question 4.
True or False: Machine Learning Engineers primarily focus on data extraction.
- True
- False
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Think about their role in model development.
Question 5.
Evaluate how the advancement of Machine Learning Engineers has changed the demand for Data Scientists. Discuss the synergy between these two roles as businesses integrate data-driven models.
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Consider how model deployment needs influence the demand for Data Science skills.
Question 6.
Explore the different skills required for a Data Engineer and compare them with a Data Analyst's skill set. Identify overlaps and explain their importance in a data pipeline.
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Think about how both positions interact with data but have different main contributions.

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