Overview
This Python Data Structures course offered by Coursera in partnership with University of Michigan 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.
What You Will Learn
- Explain the principles of data structures & how they are used
- Create programs that are able to read and write data from files
- Store data as key/value pairs using Python dictionaries
- Accomplish multi-step tasks like sorting or looping using tuples
Skills you'll gain
- Algorithms
- Computer Programming
- Critical Thinking
- Data Analysis
- Data Structures
- Problem Solving
- Python Programming
- Software Engineering
Programme Structure
Courses include:
- Strings
- Installing and Using Python
- Files
- Lists
- Dictionaries
- Tuples
- Graduation
Key information
Duration
- Part-time
- 14 days
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Computer Sciences Data Science & Big Data Software Engineering View 466 other Short Courses in Computer Sciences in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- No prior experience required
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
This short course is included with Coursera Plus subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.