Python Data Structures

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8/10 stars
based on  4 reviews
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Course Details

Cost

FREE,
Add a Verified Certificate for $79

Upcoming Schedule

  • Upcoming

Course Provider

Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4724 reviews

Course Description

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.
Python Data Structures course image
Reviews 8/10 stars
4 Reviews for Python Data Structures

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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.

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8/10 starsCompleted
  • 13 reviews
  • 13 completed
1 year, 8 months ago
Excellent course for people wanting to learn programming with Python from scratch. The instructor is excellent and very engaging so would highly recommend.
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10/10 starsCompleted
  • 4 reviews
  • 4 completed
2 years, 8 months ago
The Professor does an excellent job of providing a concise view of python data structures - lists, dicts, and tuples. The teaching style is engaging hence provided you do own practice as you go along you will ''absorb'' the material without much difficulty. I very much appreciate the effort of all the individuals who contributed to producing the MOOC as it is very well structured.
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10/10 starsCompleted
  • 70 reviews
  • 60 completed
3 years, 5 months ago
This was a short nice course: 30 minutes of lecture each week with short quizzes and assignments. The professor is cool and explains the contents simply and intuitively. The course has a free and open textbook. In addition, the professor puts some extra material such as interview which you can enjoy. Recommended for warm-up.
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2/10 starsTaking Now
3 years, 5 months ago
Inactive forum. Totally unrelated lecture to the quiz and assignment. (You would better use youtube for this course) Really hard assignment even for people with some prior knowledge. (This course needs 30-40 hours a weeks) Grader doesn't tell exactly what's is the error. Some times you have to spend a 10-20 hours just to figure out that it's a stackoverflow problem not a wrong answer.
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Rankings are based on a provider's overall CourseTalk score, which takes into account both average rating and number of ratings. Stars round to the nearest half.