Overview
You'll learn about different data representations, including strings, lists, and tuples, that form the core of all Python programs. You will also be taught how to access files, which will allow you to store and retrieve data within your programs. These concepts and skills will help you to manipulate data and write more complex Python programs.
Key features
By the end of the Python Data Representations course offered by Coursera in partnership with Rice University, you will be able to write Python programs that can manipulate data stored in files.
This will extend your Python programming expertise, enabling you to write a wide range of scripts using Python This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language.
This course introduces basic desktop Python development environments, allowing you to run Python programs directly on your computer. This choice enables a smooth transition from online development
Programme Structure
Course structure:
- List Indexing and Slicing
- Splitting and Joining Strings
- List Searching
- Iteration over Lists
- Using Thonny's Debugger
- Debugging an Example Program
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Software Engineering View 330 other Short Courses in Software Engineering 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 previous experience necessary
- This course is aimed at learners with basic Python knowledge who want to develop skills in data representation and file handling to build more complex data‑driven Python programs.
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription