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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does data science involve?
💡 Hint: Think of what skills a data scientist would need.
Question 2
Easy
Name one core area of data science.
💡 Hint: Recall the specific steps mentioned earlier.
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 definition of data science?
- A technical skill
- A field combining multiple disciplines
- A programming language
💡 Hint: Think about the skills and knowledge areas included.
Question 2
True or False: Data cleaning is optional in data science.
- True
- False
💡 Hint: Consider how you would feel about using bad data.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design an exploratory data analysis approach for a dataset containing customer purchase histories. Include at least three visualizations you would create and explain why each is important.
💡 Hint: Think about how each visualization helps answer critical business questions.
Question 2
Given a dataset with missing values and outliers, outline a strategy you would use for data cleaning before analysis. Include at least three specific techniques.
💡 Hint: Consider standard practices in data cleaning.
Challenge and get performance evaluation