Practice Chapter Summary (6) - Capstone Project & Career Path

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10 questions

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6 sample questions

Question 1.
What is a capstone project?
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Think about how it relates to real-world applications.
Question 2.
Name one component of a data science portfolio.
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Consider what employers look for in candidates.
3Question 3.
What is the main purpose of a capstone project?
- To showcase learning
- To secure a job
- To build a portfolio
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Think about why a capstone is created.
4Question 4.
True or False: A data science portfolio should include multiple projects and thorough documentation.
- True
- False
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Remember the key aspects discussed in portfolios.
Question 5.
Create a comprehensive outline for a capstone project that includes defining the problem and methodologies you will use to address it.
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Follow the structured steps discussed in the capstone process.
Question 6.
Design a mock job interview with a focus on both technical and soft skills for a data scientist position. What questions would you include?
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Think about the skills that are crucial for data scientists.

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