Analysis of Algorithms

Have a look at this course:

https://www.coursera.org/learn/analysis-of-algorithms#syllabus

https://www.coursera.org/learn/analysis-of-algorithms

huge thank you for the list. Given the breadth of this, i'm not sure I can get through too much during quarantine, but I will keep this list and slowly get through it.

And to be sure, I'm not trying to do research. I just want to be able to roughly understand modeling to get a sense of its limitations and strengths. As of right now, it's totally a black box for me.

By analysis, do you mean something like this mooc?

Side note: You be licensed as a physician, you only sort of need basic algebra. Prerequisites for matriculation into med school includes a strong suggestion (sometimes requirement) for either a single stats or calc class. During med school, you can pass 70+% of med school stats by knowing how to calculate sens/spec/PPV/NPV and knowing a few experimental biases. And you don't need statistics at all to pass board exams, as they're but a small fraction of the required content. This should explain a lot of MD statistical illiteracy, especially during these times.

I once learnt Java for Android so I don't really mine.

I assume Princeton only has 2 courses, right? The Part 1 & The Part 2? Should I also take this Analysis of Algoritms course?

I don't know much about algorithms. When & where do they start teaching the data structure? On Stanford's courses, they start teaching it on the second course.

I see. Well, maybe you'd still get something out of an alternate version of the course.

Here are some links https://www.coursera.org/learn/algorithms-part1 https://www.coursera.org/learn/algorithms-part2 https://www.coursera.org/learn/analysis-of-algorithms#enroll

Start by taking a Data Structures and Algorithms class. I liked this one when I first started https://www.coursera.org/learn/algorithms-part1

https://www.coursera.org/learn/algorithms-part2

https://www.coursera.org/learn/analysis-of-algorithms

Not sure what you consider an "intermediate level", but I found this useful:
https://www.coursera.org/learn/algorithms-part1

https://www.coursera.org/learn/algorithms-part2

Haven't checked this one yet:

https://www.coursera.org/learn/analysis-of-algorithms

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All of them are free.

thank you so much. do you mind taking a look at my roadmap?

CS Fundamentals (teachyourselfcs.com)

1. Introductory Programming with Structure and Interpretation of Computer Programs (SICP)
2. Math for Computer Science AKA Discrete Math
3. Introduction to Algorithms and Data Structures with The Algorithm Design Manual

Programming Projects

1. The Odin Project (MERN stack from beginner to intermediate)
2. FullStackOpen (MERN stack intermediate to advanced)
3. c0d3.com intermediate JavaScript and industry practices

Mastering a Language: Python

1. FullStackPython
2. No Starch Press books (Automate The Boring Stuff, Crash Course Python, etc.)
3. O'Reilly books (Think Python, Fluent Python)

Industry Books

1. The Pragmatic Programmer
2. Clean Code
3. The Practice of Programming?

Algorithms and Data Structures

1. Coursera Algorithms Part 1 by Princeton
2. More?: Coursera Part 2, Analysis of Algorithms by Princeton, or Algorithms Specialization by Stanford
3. Books for intuitive understanding?: Cormen's Introduction to Algorithms, Grokking Algorithms
4. Know when to use: array, linked list, stacks, queues, hash-sets, hash-maps, hash-tables, dictionary, tree, binary tree, heap, graph, and which algorithm goes with it.

Software Testing

1. Printing
2. Edge cases: negative, minimum value, zero, one, length, maximum value
3. Breakpoints
4. Other? (I will do more research, but open to suggestions)

Interviewing

1. LeetCode top questions
2. Cracking The Coding Interview & Elements of Programming Interviews? (skim)
3. TripleByte practice interview

I'm concerned because, as a pure math undergrad, I'll be skipping over the advanced knowledge of most CS majors such as Operating Systems and Database Management. However, I'm confident that I can learn those after I get an offer.

Do you have any thoughts on my roadmap?