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Data Types for Data Science in Python

Consolidate and expand your understanding of Python data types like lists, dictionaries, and tuples, and use them to solve Data Science problems.

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In this course, you will learn :

Python's fundamental data types are lists, sets, and tuples. These data containers are essential because they serve as the foundation for storing and looping over ordered data.
Learn how to use them safely to handle data that can be viewed in a variety of ways in order to answer additional questions about the New York Baby Names dataset.
You'll learn how to loop through data in a dictionary, access nested data, add new data, and appreciate all of Python dictionaries' wonderful capabilities.
Learn how to use the Counter, defaultdict, OrderedDict, and namedtuple in response to questions about the Chicago transit dataset.
Learn how to make datetime objects, how to print them, and how to look into the past and into the future.
Learn about some third-party modules that can help with all of this.

Syllabus :