> Check your mailbox or spam to confirm.
An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5.
|👨💼 Sponsor: MITx|
|📚 Field: Computing and Programming|
|🌐 Host: edX|
|🎓 Mode: Online|
|🎓 For more: Subscribe to Courses|
About this course
This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. Some of the people taking the two courses will use them as a stepping stone to more advanced computer science courses, but for many, it will be their first and last computer science courses. This run features lecture videos, lecture exercises, and a problem set using Python 3.5. Even if you previously took the course with Python 2.7, you will be able to easily transition to Python 3.5 in future courses or enrol now to refresh your learning.
Since these courses may be the only formal computer science courses many of the students take, we have chosen to focus on breadth rather than depth. The goal is to provide students with a brief introduction to many topics so they will have an idea of what is possible when they need to think about how to use computation to accomplish some goals later in their career. That said, they are not “computation appreciation” courses. They are challenging and rigorous courses in which the students spend a lot of time and effort learning to bend the computer to their will.
|SEE ALSO: Free Online Course Data Analytics and Python Fundamentals|
At a glance
- Language: English
- Video Transcript: English
- Associated programs:
- XSeries in Computational Thinking using Python
|SEE ALSO: Free Online Course Object-oriented Programming in Python: Create Your Own Adventure Game|
What you’ll learn
- A Notion of computation
- The Python programming language
- Some simple algorithms
- Testing and debugging
- An informal introduction to algorithmic complexity
- Data structures
Who can take this course?
Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.
Note: See other free online courses here.
Support & Insights
Do you have a question? Please use the comment below. We will respond accordingly.
DISCLAIMER: Do not pay or release sensitive financial details to any organizer/recruiter unless futher verified from your end.