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Data Processing using Python Collections
  • Level Intermediate
  • Duration 3 hours
  • Offered by

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By the end of this project you will use the Python Collections Counter, the CSV package's DictReader, and the Collections UserList to read student test data and find the most common test scores. The Python Collection classes are convenience classes that make it easier to process data and extend capabilities of existing classes. The CSV package's DictReader is convenient for reading columnar data. The UserList allows the developer to add functionality to the List, for example to check types. The Counter class is useful for counting common occurrences in arrays and other structures. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions.

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Learn to process data efficiently with Python Collections in this engaging intermediate-level course. You'll master the use of Counter, DictReader, and UserList to analyze student test scores. Offered by Coursera, this 180-minute free course is perfect for IT and Computer Science enthusiasts looking to enhance their data processing skills.