|
1 | | -# open-source-cs-python |
| 1 | +# The Python Open Source Computer Science Degree |
| 2 | + |
| 3 | +This is a curated list of free courses from reputable universities like MIT, Stanford, and Princeton that satisfy the same requirements as an undergraduate Computer Science degree, minus general education. |
| 4 | + |
| 5 | +## Computer Science Basics |
| 6 | + |
| 7 | +Courses | School | Duration | Effort | Frequency | Prerequisites |
| 8 | +:-- | :--: | :--: | :--: | :--: | :--: |
| 9 | +[Intro to Computer Science](https://www.edx.org/course/cs50s-introduction-computer-science-harvardx-cs50x) | Harvard | 10 weeks | 10-20 hours/week | self-paced | none |
| 10 | +[Mathematical Thinking in Computer Science](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fwhat-is-a-proof) | UC San Diego | 6 weeks | 2-5 hours/week | once a month | none |
| 11 | + |
| 12 | +## Programming |
| 13 | + |
| 14 | +[Python for Everybody Specialization](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Fspecializations%2Fpython)| University of Michigan | 4 months | 4-8 hours/week | none |
| 15 | + |
| 16 | +Courses | School | Duration | Effort | Prerequisites |
| 17 | +:-- | :--: | :--: | :--: | :--: | :--: |
| 18 | +[Programming for Everybody (Getting Started with Python)](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fpython)| University of Michigan | 4 weeks | 4-6 hours/week | none |
| 19 | +[Python Data Structures](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fpython-data)| University of Michigan | 4 weeks | 4-6 hours/week | Programming for Everybody (Getting Started with Python) |
| 20 | +[Using Python to Access Web Data](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fpython-network-data)| University of Michigan | 4 weeks | 4-6 hours/week | Python Data Structures |
| 21 | +[Using Databases with Python](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fpython-databases)| University of Michigan | 3 weeks | 4-8 hours/week | Using Python to Access Web Data |
| 22 | +[Capstone: Retrieving, Processing, and Visualizing Data with Python](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fpython-data-visualization) | University of Michigan | 2 weeks | 4-6 hours/week | Using Databases with Python |
| 23 | + |
| 24 | +Alternative Route |
| 25 | +[Python 3 Programming Specialization](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Fspecializations%2Fpython-3-programming) | University of Michigan | 5 months | 7 hours/week | none |
| 26 | + |
| 27 | +## Math |
| 28 | + |
| 29 | +Courses | School | Duration | Effort | Frequency | Prerequisites |
| 30 | +:-- | :--: | :--: | :--: | :--: | :--: |
| 31 | +[Calculus 1A: Differentiation](https://www.edx.org/course/calculus-1a-differentiation) | MIT | 12 weeks | 6-10 hours/week | self-paced | [pre-calculus](https://www.edx.org/course/precalculus-asux-mat170x) |
| 32 | +[Calculus 1B: Integration](https://www.edx.org/course/calculus-1b-integration) | MIT | 15 weeks | 6-10 hours/week | self-paced | Calculus 1A: Differentiation |
| 33 | +[Calculus 1C: Coordinate Systems & Infinite Series](https://www.edx.org/course/calculus-1c-coordinate-systems-infinite-mitx-18-01-3x-0)| MIT | 8 weeks | 6-10 hours/week | self-paced | Calculus 1B: Integration |
| 34 | +[Linear Algebra - Foundations to Frontiers](https://www.edx.org/course/linear-algebra-foundations-to-frontiers) | UT Austin | 15 weeks | 6-10 hours/week | self-paced | [pre-calculus](https://www.edx.org/course/precalculus-asux-mat170x) |
| 35 | +[Introduction to Probability and Data](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fprobability-intro) | Duke | 5 weeks | 5-7 hours/week | twice a month | none |
| 36 | +[Intro to Statistics ](https://www.udacity.com/course/intro-to-statistics--st101) | Udacity | 8 weeks | 5-7 hours/week | self-paced | none |
| 37 | + |
| 38 | + |
| 39 | +## Systems |
| 40 | + |
| 41 | +Courses | School | Duration | Effort | Frequency | Prerequisites |
| 42 | +:-- | :--: | :--: | :--: | :--: | :--: |
| 43 | +[Build a Modern Computer from First Principles: From Nand to Tetris](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fbuild-a-computer) | Hebrew University of Jerusalem | 6 weeks | 5 hours/week | twice a month | basic programming knowledge |
| 44 | +[Build a Modern Computer from First Principles: From Nand to Tetris II](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fnand2tetris2) | Hebrew University of Jerusalem | 6 weeks | 10-15 hours/week | once a month | Build a Modern Computer from First Principles: From Nand to Tetris |
| 45 | +[Introduction to Operating Systems](https://www.udacity.com/course/introduction-to-operating-systems--ud923)| Georgia Tech | 8 weeks | 5-8 hours/week | self-paced | Build a Modern Computer from First Principles: From Nand to Tetris II |
| 46 | + |
| 47 | + |
| 48 | +## Theory |
| 49 | + |
| 50 | +Courses | School | Duration | Effort | Frequency | Prerequisites |
| 51 | +:-- | :--: | :--: | :--: | :--: | :--: |
| 52 | +[Computer Science: Algorithms, Theory, and Machines](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fcs-algorithms-theory-machines) | Princeton | 10 weeks | 2-5 hours/week | once a month | Calculus 1A (all), basic programming |
| 53 | +[Algorithms, Part I](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Falgorithms-part1) | Princeton | 6 weeks | 6-12 hours/week | once a month | Computer Science: Algorithms, Theory, and Machines |
| 54 | +[Algorithms, Part II](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Falgorithms-part2) | Princeton | 6 weeks | 6-12 hours/week | once a month | Algorithms, Part I |
| 55 | + |
| 56 | + |
| 57 | +## Applications |
| 58 | + |
| 59 | +Courses | School | Duration | Effort | Frequency | Prerequisites |
| 60 | +:-- | :--: | :--: | :--: | :--: | :--: |
| 61 | +[Software Engineering: Introduction](https://www.edx.org/course/software-engineering-introduction-ubcx-softeng1x) | UBCx | 6 weeks | 8-10 hours/week | self-paced | Java Programming: Build a Recommendation System |
| 62 | +[Machine Learning](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fmachine-learning) | Stanford | 11 weeks | 5-7 hours/week | twice a month | Linear Algebra - Foundations to Frontiers |
| 63 | +[Database Management Essentials](https://www.coursera.org/learn/database-management) | CU | 7 weeks | 4-6 hours/week | twice a month | basic programming & CS knowledge |
| 64 | +[Cryptography I ](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fcrypto)| Stanford | 7 weeks | 5 hours/week | once a month | Linear Algebra - Foundations to Frontiers & Introduction to Probability and Data |
| 65 | + |
| 66 | +## Unix |
| 67 | + |
| 68 | +Courses | School | Duration | Effort | Frequency | Prerequisites |
| 69 | +:-- | :--: | :--: | :--: | :--: | :--: |
| 70 | +[Linux Command Line Basics](https://www.udacity.com/course/linux-command-line-basics--ud595) | Udacity | 1 week | 5 hours/week | self-paced | none |
| 71 | +[The Unix Workbench](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Funix) | JHU | 4 weeks | 4 hours/week | once a month | none |
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