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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What are two examples of capstone project ideas?
💡 Hint: Think of datasets you can apply regression or classification to.
Question 2
Easy
What does EDA stand for?
💡 Hint: It's a term that includes analyzing data to find patterns.
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 main purpose of a capstone project in a data science course?
- To pass exams
- To apply skills in a real-world setting
- To learn new programming languages
💡 Hint: Think about how it showcases what you have learned.
Question 2
True or False: A data science portfolio should only include finished projects.
- True
- False
💡 Hint: Consider what shows growth and capability.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Identify a dataset not mentioned in our course that you could use for a capstone project. Outline a project idea and the outcome you expect.
💡 Hint: Think about areas of data you find intriguing.
Question 2
Reflect on the importance of soft skills in securing a data science job. Write a short essay on how communication plays a role in data projects.
💡 Hint: Consider personal experiences or news trends in data communication.
Challenge and get performance evaluation