Practice Learning Objectives - 4.2 | 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 the command to read a CSV file using Pandas?

💡 Hint: Think about the function that starts with 'pd'.

Question 2

Easy

Name one offline data source.

💡 Hint: These are files you might have saved on your computer.

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 does CSV stand for?

  • Content Separated Values
  • Comma Separated Values
  • Coded Separated Values

💡 Hint: Think about what separates the data in this file format.

Question 2

True or False: Web scraping can be done without any programming.

  • True
  • False

💡 Hint: Consider what tools we use for this process.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design an application that collects data from an API about current weather conditions and stores it into a SQLite database. Describe the process step-by-step.

💡 Hint: What functions will you use for each step?

Question 2

You have to scrape data from a product listings website to gather prices and titles of items. Explain how you would approach this task including tools and methods.

💡 Hint: Remember to check the site's robots.txt!

Challenge and get performance evaluation