MIT (edX, Eric Grimson and John Guttag)
MITx 6.00.1x Intro to Computer Science with Python Review — Honest Analysis
MITx 6.00.1x is the longest-running serious intro Python MOOC — Grimson and Guttag on edX since 2012, nine weeks at ~15h/week, $75 verified or free to audit. The reviewer consensus across a decade of Hacker News and blog opinions is consistent — strong on algorithmic foundations (Big O, recursion, sorting, OOP), weaker on hand-holding for absolute beginners who arrive expecting CS50 theatre. Take it if you want MIT rigour and the cheapest credible certificate; pair with CS50 or Severance if you need a warmer on-ramp.
Final score
from 45 analysed opinions
Published AI-researched, editor-audited
Distribution of opinions
Per-criterion scores
Nine-week curriculum covering Python mechanics, decomposition, debugging, OOP, Big O, recursion and sorting. Reviewers consistently flag algorithmic depth as the distinguishing feature versus CS50; the optional 6.00.2x ML section is the recurring weak spot.
Eric Grimson is universally respected as the algorithms lecturer — ralmidani's "first person to explain Big O to me" captures the recurring praise. John Guttag handles Python mechanics. Delivery is measured and academic rather than the CS50-Malan theatre.
Verified certificate is one-time $75 — the lowest paid certificate of any flagship intro CS MOOC. Full audit is free including lectures and most exercises. The MITx brand carries real weight on a CV; tobz in 2016 grouped it with CS50 as flagship content.
Self-paced now after years of cohort scheduling. The Discussion forum is functional but quiet by CS50 standards — no cs50.ai-style tutor, no live office hours. Beginners consistently report needing to supplement with the Guttag textbook and Stack Overflow.
Foundations transfer durably — Big O, recursion, OOP, decomposition, debugging discipline — and Python is the language most data and ML jobs want. The honest gap is that this is a foundation course; reviewers pair it with a second vocational track before applying.
What learners said
What people loved
7- Algorithmic depth — Big O, recursion, sorting, complexity classes taught as core content rather than as appendices×14
- Eric Grimson is the algorithm-explainer reviewers credit by name — ralmidani's "first person to explain Big O to me" line recurs in different words across the corpus×11
- Verified certificate is $75 one-time — by a wide margin the cheapest paid credential among flagship intro CS MOOCs×9
- John Guttag's accompanying textbook (MIT Press, 3rd ed. 2021) is a real reference, not a course PDF — reviewers describe it as enjoyable to read and durable×8
- Problem sets are substantive enough that finishing them is a genuine achievement — Khanh Nguyen called 6.00.1x the first MOOC she actually completed×10
- Python is the language most data, ML and analytics jobs in 2026 actually want, and 6.00.1x is the MIT version of teaching it×7
- MIT brand on a verified certificate is a modest but real CV signal — and unlike most MOOCs, 6.00.1x has been running long enough that the credential is well-recognised×6
What frustrated learners
6- Delivery is measured and academic — beginners coming from CS50 consistently miss the David Malan-style energy and high production values×9
- The optional 6.00.2x machine learning section is thin — reviewers with data science backgrounds describe it as a survey rather than a foundation×7
- Genuinely hard for absolute beginners with no prior code exposure — ghaff's "I'd probably have been dropping that class" line is the most common honest assessment in the corpus×11
- Support is thin by 2026 MOOC standards — no integrated AI tutor, no live office hours, forum is quiet×5
- Curriculum is intentionally classical — no notebooks, no pandas, no web frameworks, no machine learning beyond the optional sequel×6
- Historically cohort-scheduled rather than fully self-paced — dragonwriter's 2013 note that "it has a more fixed schedule" was a recurring friction for years before the current self-paced format×4
Real quotes from real users
“"MIT's 6.00.1x on edX, it is a quality introduction to programming and python. I took it almost 5 years ago and would highly recommend it for motivated beginners. The most recent session seems to have just concluded so there may be another one coming up soon."”
“"You're actually right, I had also taken very basic 'intro' courses locally before taking the MIT course, and Grimson was the first person to explain Big O to me. Having already done some Python and C++ probably helped get more out of that course, as well. But some people can't drop thousands or even hundreds of dollars to have a prof or TA hold their hand as they learn programming essentials. They might have to put in more time on their own to do well in a course like 6.001, but that may be their only option."”
“"I can only report that, had you dumped me into that content with those assignments, with no prior background I'd probably have been dropping that class. The online version was more Grimson on the algorithms and Guttag (who wrote the Python book) on a bit of the programming. But the emphasis was more on the algorithms."”
“"MITx's 6.00.1x on edx is a low cost certificate for beginners and people without a cs degres. Generally, certificates can even have negative value in a CV, really depends on the technology and where you want to apply. Actual results, e.g. something you've built or an open source contribution you've made beats most certificates."”
“"This was one of the best programming course that I have taken so far. Learning the basics and syntax of any programming language is important but in order to be a better programmer you have to understand these core concepts. This course will give you enough confidence to move on to more advance courses."”
“"This is the first MOOC that I even reached til the end, let alone passed! I was so scared going to the lessons on algorithm because I'd always thought they were too hard for me, but I was pleasantly surprised to discover that I could implement the sorting algorithms. Without the book, I highly doubt I would have completed the course."”
“"The primary skill I took away from the problem sets was debugging, which provided me with a strong foundational understanding. This course is ranked second only to Harvard's CS50 in terms of being the best open-source education introduction to programming course."”
“"It covers most of the key concepts in Python, OOP, Data Structures, and algorithms. The last part on Machine Learning somewhat lacks if you came from a Data Science/AI background. Machine learning is a huge topic of its own to be taught in 3-4 lessons."”
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How we evaluated this
This review synthesizes 45 opinions collected across the public web. Final score = Bayesian average penalising small samples, then weighted by the positivity ratio. No paid placements, no hidden agenda.
- 35 from Hacker News
- 10 from Blogs