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 updated lecture videos, lecture exercises, and problem sets to use the new version of Python 3.5. Even if you took the course with Python 2.7, you will be able to easily transition to Python 3.5 in future courses, or enroll 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 goal 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.
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|Institution||Massachusetts Institute of Technology|
|Instructors||Eric Grimson, John Guttag, Ana Bell|
|Effort||15 hours per week|
|Price||Free, or get a Verified Certificate for $49|
|Subjects||Computer Science Engineering Science|
5.00 based on 3 reviews
This course teaches valuable skills
Estimated earnings for individuals who use skills taught in this course. Figure based on US average salary and career skills data.
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Reviews for this course
Great. The profs in this course get very deep into the basics. A big part of CS is understanding the foundations and this course does it. I'm into data analysis and the sections on algorithms and data were really helpful for advancing my goal. I was split between this class and CS50 (from Harvard) since CS50 covers C. However, after taking 6.00x I'm very happy and even bought a verified certificate to put in my resume.
Hands down, this is one of the best courses to learn programming. I took AP computer science in high school and really didn't get a strong grasp of things like big o notation and understanding why some sorts are better than others. It wasn't my teacher's fault necessarily, but I think juggling Java and fifty other things is hard. Python makes it a bit easier. The way 6.00x builds on that foundation and takes it even further is what's really impressive. I took this course to refresh my CS knowledge, but I've found more than a few occasions where I use it in my personal and work life. I hope one day MIT will release a sequel for this class to do even more with CS (like building standalone applications / games with Python). Also I wish they would teach more about using external libraries, but that's easy enough to figure out on your own. Still, A+ for MIT!
Best introduction to CS ever, but very challenging. Worth spending 4-8 hours doing homework each week.
What learners are saying BETA
hours per week
I easily spent 12+ hours per week on this course.
about 15 or more hours per week on it.
changed my life
I found this course very challenging and equally rewarding.This course changed my life…
The course has opened a lot of windows and changed my life.
of computer science
...it definitely leans more towards the theoretical, math-heavy side of computer science…
Many congratulations to Prof. Eric Grimson and all those who contributed to this course…
It gave me the foundation of computer science.
There is a good book bu John Guttag.
Now I sold my first Web-Application completely writen in Python…
And I myself looking forward for 6.00 2 to start…
I'm looking forward to doing the 2nd part of this course!Awesome course…
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