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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of a data science portfolio?
💡 Hint: Think about what potential employers would like to see.
Question 2
Easy
List two components that should be included in a data science portfolio.
💡 Hint: Consider documentation and code sharing.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is a key element of a strong data science portfolio?
- A detailed resume
- Multiple choice questions
- Well-documented projects
💡 Hint: Think about what showcases your abilities best.
Question 2
True or False: Including interactive elements in your portfolio can make it more engaging.
- True
- False
💡 Hint: Consider the advantages of audience interaction.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a comprehensive outline for a project you would include in your portfolio. Describe the problem, methodology, data, and expected outcome.
💡 Hint: Think about the storytelling aspect of your project.
Question 2
Assume you have created a dashboard. List down the features you would include to make it user-friendly and informative.
💡 Hint: Consider what makes a good user experience.
Challenge and get performance evaluation