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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What step comes first in the capstone project process?
💡 Hint: Think about the starting point of any analysis.
Question 2
Easy
What should a data science portfolio include?
💡 Hint: Consider how to showcase your work effectively.
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 the first step in a capstone project?
- Collect data
- Define the problem
- Visualize data
💡 Hint: Think about what guides your analysis.
Question 2
True or False: A portfolio should only showcase completed projects.
- True
- False
💡 Hint: What if a project is in progress, can it still be valuable?
Solve 3 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Create a detailed plan for a capstone project, outlining your chosen dataset, project goal, and the technical skills you would utilize.
💡 Hint: Consider every stage from defining the problem to presenting the results.
Question 2
Draft a portfolio introduction that clearly outlines the types of projects you would include and why they reflect your skills in data science.
💡 Hint: Reflect on how each project demonstrates your learning journey.
Challenge and get performance evaluation