Practice Building Your Data Science Portfolio - 2 | Capstone Project & Career Path | Data Science Basic
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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