Python Data Structures by University of Michigan (Coursera)
Learning how to store, represent, and alter data collections while a program is executing is a critical component of learning to program. This Python data structures course is part of the University of Michigan's Python for Everybody Specialization on Coursera. It introduces the Python programming language's fundamental data structures. This is one of the highest rated courses, with a rating of 4.9 and over 500,000 students who have already taken it. The course looks at how they may use the built-in data structures in Python to do increasingly complex data analysis. It is a reasonably short course that takes roughly 19 hours to complete. It covers the following topics:
- Lists
- Dictionaries
- Tuples
Dr. Charles Severance (a.k.a. Dr. Chuck) teaches the course as a Clinical Professor at the University of Michigan School of Information, where he teaches a variety of technology-oriented courses such as programming, database design, and Web development. Dr. Chuck is the well-known author of Python for Everyone.
Key Highlights
- Explain the principles of data structures & how they are used
- Learn to store data as key/value pairs using Python dictionaries
- Learn to use tuples in conjunction with dictionaries to accomplish multi-step tasks like sorting or looping through all of the data in a dictionary
- Create programs that are able to read and write data from files
- Several practice quizzes and graded programming assignments included in the course
- Self-paced learning
Duration : Approx. 19 hours
Google Rating : 4.9/5.0
Enroll here: coursera.org/learn/python-data
