Practice Practice Suggestions - 5.2 | Capstone Project & Career Path | Data Science Basic
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Practice Suggestions

5.2 - Practice Suggestions

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Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

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