Practice Data Collection Techniques - 4 | Data Collection Techniques | Data Science Basic
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is an example of an offline data source?

💡 Hint: Think about file formats that store data locally.

Question 2

Easy

Name one tool used for web scraping.

💡 Hint: Consider libraries in Python for HTTP requests.

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 an API?

  • A type of data source
  • An application interface
  • A programming language

💡 Hint: Think about how applications interact with each other.

Question 2

True or False: Web scraping is always allowed by websites.

  • True
  • False

💡 Hint: Consider what the robots.txt file indicates.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Using the requests library, write a Python snippet to fetch data from a public API and extract relevant details.

💡 Hint: What do you typically do next after fetching the data?

Question 2

Discuss how you would handle a scenario where an API becomes unavailable during your project.

💡 Hint: Consider what backup methods you might have.

Challenge and get performance evaluation