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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 end-to-end data science workflow?
💡 Hint: Consider what needs to be fixed or explored.
Question 2
Easy
Name one tool used for data cleaning.
💡 Hint: It's a popular library in Python.
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 a primary benefit of using real-world projects in data science?
- A. Theory Practice
- B. Skill Showcase
- C. Data Study
💡 Hint: Think about how you can show your abilities.
Question 2
True or False: EDA stands for Exploratory Data Analysis.
- True
- False
💡 Hint: Consider what EDA stands for.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a mini-project that aims to reduce customer churn for an imaginary cable company. Outline the data you would collect, the methodology to apply, and potential challenges you foresee.
💡 Hint: Think about what data would explain why customers leave.
Question 2
A financial services company is trying to detect fraudulent transactions. Suggest a basic workflow they could adopt, highlighting key steps and techniques.
💡 Hint: Focus on how fraud detection differs from general analysis.
Challenge and get performance evaluation