This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.
About this Course
Learner Career Outcomes
Learner Career Outcomes
University of Michigan
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
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TOP REVIEWS FROM PYTHON DATA STRUCTURES
I feel incredible that I knew almost nothing about programming just a month ago. Now I have done two of the courses of the specialization and I can actually understand other basic codes. Great course!
This was a super-fun course! The materials were very easy to follow, and delivered in a very friendly and engaging manner. I highly recommend this course to anyone just getting started in programming.
i have learned what exact python is now on this stage i can program in python and i recommend everyone want to study about the python to take this course and experienced and really thanks to Dr. CHUCK
Excellent explanation. Professor Charles kept the course from being monotonous. Learnt in depth about reading from file, sorting dictionaries and appending lists. Looking forward to learn more courses
About the Python for Everybody Specialization
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
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