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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a capstone project?
π‘ Hint: Think about how it relates to real-world applications.
Question 2
Easy
Name one component of a data science portfolio.
π‘ Hint: Consider what employers look for in candidates.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main purpose of a capstone project?
π‘ Hint: Think about why a capstone is created.
Question 2
True or False: A data science portfolio should include multiple projects and thorough documentation.
π‘ Hint: Remember the key aspects discussed in portfolios.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Create a comprehensive outline for a capstone project that includes defining the problem and methodologies you will use to address it.
π‘ Hint: Follow the structured steps discussed in the capstone process.
Question 2
Design a mock job interview with a focus on both technical and soft skills for a data scientist position. What questions would you include?
π‘ Hint: Think about the skills that are crucial for data scientists.
Challenge and get performance evaluation