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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the first step in the data science process?
💡 Hint: Think about where data comes from.
Question 2
Easy
Why is data cleaning important?
💡 Hint: Consider the impact on analysis.
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 primary goal of data collection?
- To analyze data
- To gather relevant information
- To visualize data
💡 Hint: Think about where you start in a data project.
Question 2
True or False: Data cleaning is unnecessary if you have a large dataset.
- True
- False
💡 Hint: Consider the quality of data.
Solve 3 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset containing customer reviews with missing fields, outline a practical approach for data cleaning before conducting EDA.
💡 Hint: Think about steps to ensure data integrity.
Question 2
Create a data visualization strategy for a sales dataset to present trends to a company board. What tools and techniques would you use?
💡 Hint: Consider the audience's understanding.
Challenge and get performance evaluation