You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
[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
10
12
11
## Programming
13
12
14
13
Courses | School | Duration | Effort | Frequency | Prerequisites
15
14
:-- | :--: | :--: | :--: | :--: | :--:
16
-
[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
17
-
[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)
15
+
[Programming for Everybody (Getting Started with Python)](https://imp.i384100.net/GjkPZr)| University of Michigan | 4 weeks | 4-6 hours/week | self-paced | none
16
+
[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)
18
17
[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
19
-
[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
20
-
[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
18
+
[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
19
+
[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
21
20
22
21
###### Alternative
23
22
Courses | School | Duration | Effort | Frequency | Prerequisites
24
23
:-- | :--: | :--: | :--: | :--: | :--:
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 | self-paced | none
24
+
[Python 3 Programming Specialization](https://imp.i384100.net/MXVGb3) | University of Michigan | 5 months | 7 hours/week | self-paced | none
26
25
27
26
## Math
28
27
@@ -32,47 +31,47 @@ Courses | School | Duration | Effort | Frequency | Prerequisites
[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
33
[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
34
+
[Introduction to Probability and Data](https://imp.i384100.net/9WZ4E0) | Duke | 5 weeks | 5-7 hours/week | twice a month | none
Courses | School | Duration | Effort | Frequency | Prerequisites
41
40
:-- | :--: | :--: | :--: | :--: | :--:
42
-
[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
43
-
[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
44
-
[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
45
-
[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
46
-
[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
41
+
[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
42
+
[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
43
+
[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
44
+
[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
45
+
[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
47
46
48
47
## Systems
49
48
50
49
Courses | School | Duration | Effort | Frequency | Prerequisites
51
50
:-- | :--: | :--: | :--: | :--: | :--:
52
-
[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
53
-
[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
51
+
[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
52
+
[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
54
53
[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
55
54
56
55
57
56
## Theory
58
57
59
58
Courses | School | Duration | Effort | Frequency | Prerequisites
60
59
:-- | :--: | :--: | :--: | :--: | :--:
61
-
[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
62
-
[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
63
-
[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
60
+
[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
61
+
[Algorithms, Part I](https://imp.i384100.net/DVm9eo) | Princeton | 6 weeks | 6-12 hours/week | once a month | Computer Science: Algorithms, Theory, and Machines
62
+
[Algorithms, Part II](https://imp.i384100.net/jW4xyv) | Princeton | 6 weeks | 6-12 hours/week | once a month | Algorithms, Part I
64
63
65
64
66
65
## Applications
67
66
68
67
Courses | School | Duration | Effort | Frequency | Prerequisites
[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
[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
72
71
73
72
## Unix
74
73
75
74
Courses | School | Duration | Effort | Frequency | Prerequisites
0 commit comments