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README.md

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@@ -7,22 +7,21 @@ This is a curated list of free courses from reputable universities like MIT, Sta
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Courses | School | Duration | Effort | Frequency | Prerequisites
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[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
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[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
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## Programming
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Courses | School | Duration | Effort | Frequency | Prerequisites
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:-- | :--: | :--: | :--: | :--: | :--:
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[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 | self-paced | none
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[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 | self-paced | Programming for Everybody (Getting Started with Python)
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[Programming for Everybody (Getting Started with Python)](https://imp.i384100.net/GjkPZr)| University of Michigan | 4 weeks | 4-6 hours/week | self-paced | none
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[Python Data Structures](https://imp.i384100.net/python-ds)| University of Michigan | 4 weeks | 4-6 hours/week | self-paced | Programming for Everybody (Getting Started with Python)
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[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 | self-paced | Python Data Structures
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[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 | self-paced | Using Python to Access Web Data
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[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 | self-paced | Using Databases with Python
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[Using Databases with Python](https://imp.i384100.net/2rebdg)| University of Michigan | 3 weeks | 4-8 hours/week | self-paced | Using Python to Access Web Data
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[Capstone: Retrieving, Processing, and Visualizing Data with Python](https://imp.i384100.net/python-capstone) | University of Michigan | 2 weeks | 4-6 hours/week | self-paced | Using Databases with Python
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###### Alternative
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Courses | School | Duration | Effort | Frequency | Prerequisites
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:-- | :--: | :--: | :--: | :--: | :--:
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[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 | self-paced | none
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[Python 3 Programming Specialization](https://imp.i384100.net/MXVGb3) | University of Michigan | 5 months | 7 hours/week | self-paced | none
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## Math
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[Calculus 1B: Integration](https://www.edx.org/course/calculus-1b-integration) | MIT | 15 weeks | 6-10 hours/week | self-paced | Calculus 1A: Differentiation
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[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
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[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)
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[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
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[Introduction to Probability and Data](https://imp.i384100.net/9WZ4E0) | Duke | 5 weeks | 5-7 hours/week | twice a month | none
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[Intro to Statistics ](https://imp.i115008.net/intro-to-statistics) | Udacity | 8 weeks | 5-7 hours/week | self-paced | none
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## Data Science
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Courses | School | Duration | Effort | Frequency | Prerequisites
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:-- | :--: | :--: | :--: | :--: | :--:
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[Introduction to Data Science in Python](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fpython-data-analysis) | University of Michigan | 3 weeks | 4-6 hours/week | self-paced | basic programming knowledge
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[Applied Plotting, Charting & Data Representation in Python](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fpython-plotting) | University of Michigan | 4 weeks | 5-7 hours/week | self-paced | Introduction to Data Science in Python
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[Applied Machine Learning in Python](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fpython-machine-learning) | University of Michigan | 6 weeks | 5-7 hours/week | self-paced | Applied Plotting, Charting & Data Representation in Python
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[Applied Text Mining in Python](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fpython-text-mining) | University of Michigan | 5 weeks | 5-7 hours/week | self-paced | Applied Machine Learning in Python
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[Applied Social Network Analysis in Python](https://click.linksynergy.com/deeplink?id=PtFMiHYfEVk&mid=40328&murl=https%3A%2F%2Fwww.coursera.org%2Flearn%2Fpython-social-network-analysis) | University of Michigan | 5 weeks | 5-7 hours/week | self-paced | Applied Text Mining in Python
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[Introduction to Data Science in Python](https://imp.i384100.net/5bG2n9) | University of Michigan | 3 weeks | 4-6 hours/week | self-paced | basic programming knowledge
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[Applied Plotting, Charting & Data Representation in Python](https://imp.i384100.net/AoQxjx) | University of Michigan | 4 weeks | 5-7 hours/week | self-paced | Introduction to Data Science in Python
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[Applied Machine Learning in Python](https://imp.i384100.net/gb7M6O) | University of Michigan | 6 weeks | 5-7 hours/week | self-paced | Applied Plotting, Charting & Data Representation in Python
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[Applied Text Mining in Python](https://imp.i384100.net/XxR0n4) | University of Michigan | 5 weeks | 5-7 hours/week | self-paced | Applied Machine Learning in Python
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[Applied Social Network Analysis in Python](https://imp.i384100.net/WDzWdG) | University of Michigan | 5 weeks | 5-7 hours/week | self-paced | Applied Text Mining in Python
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## Systems
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Courses | School | Duration | Effort | Frequency | Prerequisites
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[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
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[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
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[Build a Modern Computer from First Principles: From Nand to Tetris](imp.i384100.net/6b13dV) | Hebrew University of Jerusalem | 6 weeks | 5 hours/week | twice a month | basic programming knowledge
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[Build a Modern Computer from First Principles: From Nand to Tetris II](https://imp.i384100.net/dovNVq) | Hebrew University of Jerusalem | 6 weeks | 10-15 hours/week | once a month | Build a Modern Computer from First Principles: From Nand to Tetris
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[Introduction to Operating Systems](https://imp.i115008.net/introduction-to-operating-systems)| Georgia Tech | 8 weeks | 5-8 hours/week | self-paced | Build a Modern Computer from First Principles: From Nand to Tetris II
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## Theory
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Courses | School | Duration | Effort | Frequency | Prerequisites
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:-- | :--: | :--: | :--: | :--: | :--:
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[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
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[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
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[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
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[Computer Science: Algorithms, Theory, and Machines](https://imp.i384100.net/7mVROr) | Princeton | 10 weeks | 2-5 hours/week | once a month | Calculus 1A (all), basic programming
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[Algorithms, Part I](https://imp.i384100.net/DVm9eo) | Princeton | 6 weeks | 6-12 hours/week | once a month | Computer Science: Algorithms, Theory, and Machines
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[Algorithms, Part II](https://imp.i384100.net/jW4xyv) | Princeton | 6 weeks | 6-12 hours/week | once a month | Algorithms, Part I
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## Applications
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Courses | School | Duration | Effort | Frequency | Prerequisites
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[Database Management Essentials](https://www.coursera.org/learn/database-management) | CU | 7 weeks | 4-6 hours/week | twice a month | basic programming & CS knowledge
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[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
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[Database Management Essentials](https://imp.i384100.net/kjvDMn) | CU | 7 weeks | 4-6 hours/week | twice a month | basic programming & CS knowledge
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[Cryptography I](https://imp.i384100.net/DVm9ej)| Stanford | 7 weeks | 5 hours/week | once a month | Linear Algebra - Foundations to Frontiers & Introduction to Probability and Data
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## Unix
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Courses | School | Duration | Effort | Frequency | Prerequisites
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[Linux Command Line Basics](https://imp.i115008.net/linux-command-line-basics) | Udacity | 1 week | 5 hours/week | self-paced | none
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[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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[The Unix Workbench](https://imp.i384100.net/QOXZ4P) | JHU | 4 weeks | 4 hours/week | once a month | none

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