Data Collection and Processing with Python Coursera Quiz Answers

All Weeks Data Collection and Processing with Python Coursera Quiz Answers

This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You’ll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the Flickr photo-sharing site.

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Data Collection and Processing with Python Coursera Quiz Answers

Week 1: Nested Data and Nested Iteration

Q1. What did you use to practice this week?
This course offers many optional resources for practicing your skills and testing your understanding of the material. Which resources did you use and how helpful were they to you?


Interactive textbook – Check Your Understanding. These questions are designed to help you tell if you’re getting the main points from the material.

  • Didn’t Use
  • Not Helpful
  • Somewhat Helpful
  • Very Helpful.

Q2. Interactive textbook – Exercises. These questions are similar to a graded quiz in both structure and difficulty.

  • Didn’t Use
  • Not Helpful
  • Somewhat Helpful
  • Very Helpful

Q3. Interactive textbook – Practice Tool. The Practice Tool uses a “spaced repetition” algorithm to reinforce what you’ve learned.

  • Didn’t Use
  • Not Helpful
  • Somewhat Helpful
  • Very Helpful

Q4. What might you use next week? Practice helps people master new skills and learn new material. What tools might you use over the next week to practice for this course?

  • Check Your Understanding
  • Exercises
  • Practice tool

Q5. If you’ve used the optional resources, what did you find most helpful? If you haven’t, what material from the course could you use more practice with next week?

What do you think?


Your answer cannot be more than 10000 characters.

Week 2: Map, Filter, and List Comprehensions

Q1. What did you use to practice this week?
This course offers many optional resources for practicing your skills and testing your understanding of the material. Which resources did you use and how helpful were they to you?


Interactive textbook – Check Your Understanding. These questions are designed to help you tell if you’re getting the main points from the material.

  • Didn’t Use
  • Not Helpful
  • Somewhat Helpful
  • Very Helpful.

Q2. Interactive textbook – Exercises. These questions are similar to a graded quiz in both structure and difficulty.

  • Didn’t Use
  • Not Helpful
  • Somewhat Helpful
  • Very Helpful

Q3. Interactive textbook – Practice Tool. The Practice Tool uses a “spaced repetition” algorithm to reinforce what you’ve learned.

  • Didn’t Use
  • Not Helpful
  • Somewhat Helpful
  • Very Helpful

Q4. What might you use next week? Practice helps people master new skills and learn new material. What tools might you use over the next week to practice for this course?

  • Check Your Understanding
  • Exercises
  • Practice tool

Q5. If you’ve used the optional resources, what did you find most helpful? If you haven’t, what material from the course could you use more practice with next week?

What do you think?

Data Collection and Processing with Python Coursera Course Review:

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Conclusion:

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This course is intended for audiences of all experiences who are interested in learning about new skills in a business context; there are no prerequisite courses.

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