Uc San Diego Algorithms and Data Sturcture Reviews

Data Structures and Algorithms

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Below are the top discussions from Reddit that mention this online Coursera specialization from University of California San Diego.

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Taught by
Alexander Southward. Kulikov
Professor
and 4 more than instructors

Offered past
University of California San Diego

This specialization includes these 4 courses.

Reddit Posts and Comments

0 posts • 193 mentions • top l shown below

Just wanna give a huge give thanks you lot to this sub for helping me find my dream job and hopefully pass on some stuff from my experience that may help any other aspiring devs.

Allow me first this postal service off by saying

Cheers, Thanks, THANK YOU!!!

And that goes to all of the people here that have helped me over the last few months. Somehow, someway I finally got my dream chore working as a Software Engineer at a startup in Chicago. Merely got off the phone with Hour and my heart skipped a beat, and my salary has more than doubled(!) going from a database dev to SE.

I've made a lot of posts here asking for assistance, communication, and recommendations and the customs here is always extremely helpful and patient. I was going through a serious rough path of depression thinking maybe I fabricated the wrong career choice or that I wasn't smart enough, but this sub truly helped me go out of my funk and essentially changed my life forever. Unlike about other programming forums where egos, condescending attitudes, and a general lack of empathy to a novice coder can run rampant, here I've run into nigh all positive and helpful people, and then I merely wanted to again say thank you. I wanna give a personal thanks to:

u/swissgoat, u/schwede, u/veeberz, u/throwies11, u/Roxxo9001

and a super special thank y'all to u/ibsulon and u/mansfall (I owe you reddit aureate!)

I wanted to requite a crude summary of what my interview process was similar and how I prepared just in example someone else out there learning programming knows it's absolutely possible if you put the effort in.

A couple months ago I decided I wanted to brand the switch to SE later realizing that dealing exclusively with SQL all day every solar day wasn't exactly the most fun thing in the world. I started off past settling on C# and doing some small projects in Unity with a few online tutorials to get my feet wet. I had already started putting in applications merely never did I imagine I'd go a telephone call within the offset week, just I went in anyway and got admittedly grilled. I couldn't respond whatsoever of the questions and felt like an absolute idiot. Afterward I decided I needed to get my fundamentals up to par and watched the Bob Tabor Beginner C# course on Microsoft Virtual Academy later on having it recommended to me here. The grade was way better at explaining the basics than any of the resources I'd found on my own and fifty-fifty the stuff I checked out from the sidebar. I kept coming back and getting advice and recommendations from the people here and could feel myself improving. Eventually I get recommended this grade past u/ibsulon in order to strengthen my computer science fundamentals, which was incredibly helpful. Fast frontward a few months and I start to utilise for jobs. Not fifty-fifty 24 hours later I have an interview scheduled for the terminate of the week. While I was in the midst of freaking out due to the PTSD from my last interview, I made a post asking for any advice for interviews and got a bunch of great feedback! Specifically, u/mansfall and his annotate really helped me gear up for the interview as almost everything he posted was a function of the assessment they gave. Earlier today I finally got a recall from the company with the skilful news! I simply want everyone to know i'yard extremely grateful, and to those out in that location still trying to notice work or are learning with a career in mind, you can practice information technology!

How exercise I spend summer productively so that I'll be ready for interviews / go a ameliorate programmer?

How-do-you-do guys, I'thousand planning to learn full stack web developing during the summertime. (just to touch on it, not going to go crazy on it. But a trivial side project on the side, get exposed to javascript, etc.)

Aside from that, what can I do to spend the summertime productively? My goal is to somewhen go into a BIG4 company, but ultimately be knowledgeable enough to differentiate between an inefficient code and an efficient code, be confident in whiteboard coding.

I have some candidates to show you guys:

Competitive Programmer'due south Handbook

Algorithms I from Coursera

Main Algorithmic Programming Techniques

Other books I've considered are Make clean Lawmaking and CTCI - only those I volition be doing over slowly for the adjacent year or twelvemonth and a one-half.

At that place was a data structures / algorithm class that used C++ in coursera simply that seems to exist gone =(

I'yard mainly going to concentrate on C++ and Java considering these are languages that I'm most exposed to and I will be using it for the courses in upcoming Autumn semester.

My level of programming is in between beginner and an intermediate.

tl;dr: level of programming = betwixt beginner and intermediate, trying to get into BIG4, perform well in interviews and get a better programmer. What practise you recommend I do?

I know it is a lot to ask only within two months and a half (near), I'yard merely trying to get to the intermediate level with decent knowledge of data structures and algorithms.

Recommendations welcome, cheers in accelerate!

[Request] Coursera Information Structures and Algorithms Specialisation course

at that place are half dozen courses in this specalisation..only the first is available in 1337x and snahp.information technology ..can anyone upload the remaining five courses..

coursera link https://www.coursera.org/specializations/information-structures-algorithms

Form 1 Algorithmic Toolbox Grade two Information Structures(already uploaded , this mail) Course 3 Algorithms on Graphs Form 4 Algorithms on Strings Course 5 Advanced Algorithms and Complexity Course 6 Genome Assembly Programming Claiming..

Need Assist With Algorithms And Data Structure

I started solving problems in April. I have solved 70 problems on LeetCode, easy-63, medium-half dozen, and hard-1. On HackerRank I accept solved around 78 issues(95% easy). I am participating in every LeetCode contest as well. I am taking Algorithms and Data Structure form (link), currently I am on the 3rd week section of Data Structure course.

The problem is that even after I am done with and then many problems I am even so unable to solve many piece of cake questions, solving medium level questions is a distant dream. Today's LeetCode contest broke me hard, I wasn't able to solve even ane question.

I am completely lost at the moment, conviction is downward, I can't only suck at Algorithms and Data Structure.

Whatsoever help will exist appreciated, cheers!

Is it reasonable to wait that writing idiomatic Haskell comes with a performance penalty?

Hello /r/haskellquestions, just to requite some groundwork on this question, I've been following the Data Structures and Algorithms specialisation on Coursera I've been having a lot of trouble implementing a lot of the programming assignments with the required complexity. Most of the time information technology's considering !! and ++ are slow or that the algorithms given in the lectures rely on a mutable data structure.

Most of the time I can get around these by using arrays, sequences and mutability. However, whenever I do that, my code looks similar crap. Information technology doesn't feel like I'm writing 'idiomatic' Haskell. What I'm wondering is that, practice you notice that your Haskell code can be just as pleasing/beautiful/idiomatic whenever you have to use mutable arrays instead of lists?

UC San Diego'due south Data structures and Algorithms class is great.

https://www.coursera.org/specializations/data-structures-algorithms

Which Specialization is more suitable?

TLDR;

Which coursera specialization is amend for algorithms and data structures (Standford'south or UCSD's)

Hello there,

I'yard currently a outset twelvemonth figurer applied science student, about finished my first twelvemonth though, I took two programming languages courses this year (I had no prior knowledge), I took both MATLAB and C++ both courses that had some advanced concepts like OOP,Polymorphism ,I didn't take split algorithms or data structures courses,they aren't taught in my college every bit separate courses -I guess- I might be unaware of the syllabi though, I prefer cocky learning anyways, however I'grand planning to study them this summer, so I found two coursera specializations and I'thou hesitated which one would be more suitable.

However those are the links for reference, and advice is always appreciated! , And thanks in advance! :)

1_Data Structures and Algorithms Specialization - University OF CALIFORNIA SAN DIEGO

2) Algorithms Specialization - Stanford

I have no comp sci or discrete mathematics educational activity , simply I wanted to have the following course (https://world wide web.coursera.org/specializations/data-structures-algorithms), which stipulates the following prerequisites:

"Basic cognition of discrete mathematics: proof past induction, proof by contradiction."

Would information technology exist possible to learn proof of induction and contradiction via a crash form with high school math? Or is there too much prerequisite cognition?

Im asking because I dont have the time to go back to school at this bespeak, merely i do want to acquire how to develop make clean and efficient code.

buddy to work through Algorithms and DS specialization on Coursera

Hello anybody, But learned virtually this sub through r/LearnProgramming today. I'm working through the Algorithms and Data Structures specialization on Coursera. I about finished the second class, Data structures. Wondering if anyone is working on this course or interested in working on information technology.

I'll be honest, I've gotten a bit lazy after receiving a full-fourth dimension offer from a Big four, only would beloved a programming buddy to work through the whole course with!

https://www.coursera.org/specializations/data-structures-algorithms

That's the DSA series I'one thousand working through on Coursera. I don't take much to review yet. Only started it last week. You can audit for gratuitous, it but doesn't allow you to practise the assignments. If yous notice a textbook, I'm sure there will be exercises to practice. And then just pay the fee at the end if you really want the assignments and shareable cert.

This is pretty popular on EDX and Coursera:

• Data Structures and Algorithms Specialization

This is what interested me to start this course:

>No other online course in Algorithms even comes close to offer you lot a wealth of programming challenges that you may face at your adjacent chore interview.

After completing CS50, followed by a few courses, I want to leap into Data Structures and Algorithms. Whatever recommendations on where to proceed?

Finished CS50, loved it. Finished Automate the Boring stuff, loved it. Took a Tableau and an advanced excel class for work, simply now want to go back on the programming side. I found a coursera specialization in Information Structures and Algorithms, but wasn't sure if it would exist the next right motion (https://www.coursera.org/specializations/data-structures-algorithms?action=enroll#faq-list). Whatsoever and all advice appreciated.

Information technology's just non just a vital skill, information technology's the simply thing that matters in placements also. Especially for proficient companies, every bit they only intendance about your trouble solving skills in DS + A. So it will def help yous tons in 4th year.

The best and most comprehensive resource I could find when I wanted to learn DSA was this course on Coursera: https://world wide web.coursera.org/specializations/data-structures-algorithms

They commencement from very nuts of DSA and assume you know atleast 1 programming language. They also aid you actually solve the problem rather than just throw the solution at y'all. Now the course isn't complimentary, and I was able to access information technology cuz my college, Manipal, has partnership with Coursera so I get these courses for gratis.

But you lot can still admission the main content of the course, you just won't get the certificate. I recall you won't be able to submit answers either, but y'all tin can run into the questions and solutions.

Best affair about this form is for every problem they provide the solution in three languages (c++, java, python). Since y'all already know C, i would suggest getting familiar with c++ as it's not too different from C and is the best linguistic communication for DSA.

There'southward besides a course past Stanford on Coursera, only it's more than in-depth towards theoretical part, rather than problem solving like this course.

That's awesome! It's substantially a CS1 class (intro programming), so definitely nothing as avant-garde as DP, greedy algorithms, etc. :-)

If you want to refresh your retention about those topics, I highly recommend the following Coursera specialization, adult by some of my colleagues:

https://www.coursera.org/specializations/information-structures-algorithms

While i dont know of a website like to the Odin project.
You lot can enroll in this coursera specialization

https://www.coursera.org/specializations/data-structures-algorithms

Coursera specialization

Just do 1st, second and 1-2 weeks of tertiary form. Skip all the proofs and naive implementations. If you lot have bones idea of what greedy, dp etc is go out class 1 for concluding.

HTML. Why? Because you straight away see your code doing something. This is the hardest part of this industry - staying motivated or enjoying information technology plenty to keep learning. Learning backend languages such as Python or Java is basically just outputting stuff to the console initially.

And so I would recommend - i. HTML - Not a programming language simply very like shooting fish in a barrel to acquire and your try is visualized directly away. 2. CSS - Add styling to your HTML. Alter fonts, color, etc. three. JavaScript - This is an bodily programming language. Once you become the hang of it, you tin can fiddle with your browser's DOM to make your pages more user friendly.

At this indicate, you're a frontend developer. Not peradventure professional grade but definitely competent.

1. NodeJS - This is JavaScript on the server. Since you already know JavaScript at this indicate, yous can easily understand backend programming with NodeJS.
2. MongoDB - This is a really popular database used with NodeJS, and other languages too.

At this point, you can perform Grime (create, read, update, delete) operations and tin can call yourself a fullstack web developer. Over again, not a professional i.

How do y'all go a professional one? First building projects. Anything. Tons of examples online for inspiration.

As you build them, you'll find that y'all're repeating a lot of stuff. This is where frameworks come in. They go far easier for you to reduce repeating common tasks. AngularJS is popular on the frontend and ExpressJS on the backend. Once you've learnt these, you know Mean stack (MongoDB, ExpressJS, AngularJS, NodeJS). Y'all can basically build whatever awarding with this.

Yous can develop stuff on your computer only how practice you become others to utilize information technology? You deploy your awarding to a server. Deject is pretty popular for this. Amazon Spider web Services, Heroku, Azure, etc.

Congratulations! Yous're now at a betoken where you can pretty much pickup any language or engineering science and build shit.

Recommended courses - * All of the stuff I mentioned above can exist learnt at FreeCodeCamp. It's gratuitous and you can learn on your own time. * I don't know if you have a information science background just it's skillful to know some algorithms and data structures. UCSD'south professors teach Information Structures and Algorithms Specialization on Coursera. While at that place'southward a fee advertised, you can audit the courses for gratuitous.

FYI - This was my path to a software job.

No problem, might be worth checking out this grade which has just started. I can't vouch for it, but could be interesting.

Coursera'due south information structure and algorithm course costless alternative?

Is there whatsoever free culling to this course? https://www.coursera.org/specializations/data-structures-algorithms

No, I actually struggled to find good courses online. Like I said, I took Grantham'due south online DSA class, just it was abysmal. They gave me an A on all assignments (even when I was too busy to finish one all the fashion). I retook a in person DSA course at the Academy of Wisconsin–Madison. Price me a pretty penny ($1,400) but I didn't desire to apply to grad school without an official DSA under my chugalug. Ended up with an 89.eight%, but considering I was working total-time, I am pretty proud of that score.

I also took the Coursera courses on DS&A in order to fill in gaps in my knowledge. I didn't mention Coursera considering they are not accredited. Merely their online platform is actually a great tool in terms of offering that "in-class" experience. They quiz you in the center of lecture videos, provide quizzes, and tests. They can't really solve the Google-fu portion of quizzes and tests, just the questions are still challenging. The coding assignments are also decently structured, but you need to push yourself most of the time without cheating. Online answers ever exists – especially for the well known courses.

That being said, I did have an online course with FootHill Community College when I lived in CA. Information technology was intermediate C++ (everything OOP + Linked Lists + bones sorting algos). That was a nifty course. I would accept taken their avant-garde C++ (trees, graphs, more advanced sorting / searching), just they kept filling upwards on me.

Good courses do exist, merely they require some earthworks around. In my feel, if you can find a local, accredited, public customs colleges, and so y'all're going to become a decent feel. If they are local, you lot can drive downward and speak with the professor. You lot tin experience assured of their accreditation. You lot can also more than easily "hide" the online portion by simply making your resume/transcript look similar:

>MyCity Community College
>
>4 credits Introductory C++

It ofttimes looks better than:

>Online Higher
>
>iv credits Introductory C++

Information technology really depends on your goals:

1. Going to college? You need an accredited course with some decent instructors. You'll probably want a public college so when you apply, other institutions "trust" your groundwork
2. Getting a task? You might be ameliorate off with Coursera as they are more affordable and honestly exercise a decent job of presenting the information. Jobs don't really intendance about transcripts. They but want you to be able to practice the job.
3. But interested? Practice any you feel!

Simply I highly recommend trying to stay local if you lot're looking to transfer to a college and get a skillful pedagogy in the concurrently. I can't really justify why I feel this way... I estimate it's considering I had the best feel when I wasn't attending 3 different online colleges simultaneously. Staying local allowed me to stick within the same system for as long as possible. Once I got into those more avant-garde courses though... it became almost impossible to stay local and in a community higher. I found some courses at SDSU merely they are much more expensive. So, information technology's a tough call.

Honestly, function of my strategy was "take courses anywhere for credits learn on my ain forth the way". I can't really recommend that considering information technology's a waste of money and time. But I accept to admit, that was how I handled it in my own, desperate, way.

This ane?

https://world wide web.coursera.org/specializations/data-structures-algorithms#howItWorks

The course you listed is actually in depth, you may never need to go that far in unless y'all are building a framework of sorts.

The i beneath more relevant if you lot are looking at CS.

https://world wide web.coursera.org/specializations/data-structures-algorithms

The matter is that in my opinion, you tin take the unabridged "specialization" but the chances of you using it all is probably very slim and afterward a few years you volition probably not even remember much. I think a skillful understanding of the nuts is all you need.

Coursera has a track done past University of San Diego. You can have the individual courses for gratis if you don't intendance nearly the cert. If you're broke, yous can too apply for financial aid and get the cert for free. https://www.coursera.org/specializations/data-structures-algorithms

Hey are you planning to create a discord server or anything? Will be much easier to communicate and motivate each other. I just started this course: https://www.coursera.org/specializations/information-structures-algorithms? Doing the free version and on the first course 'Algorithmic toolbox'. I don't know how closely will I follow it. Only volition use information technology every bit a guide. Let me know if you create a server.

Yep. Grind abroad. I would say have an undergrad algos form similar this 1 beforehand if you lot are worried about grasping the material: https://world wide web.coursera.org/specializations/data-structures-algorithms. Since it's a coursera class, you can have it easy and not necessarily do everything. That should become you settled.

I just recently got a new chore I'm pretty happy with, but along the fashion I bombed some leetcode and DS&A questions in other companies.

Looking for a course that I tin use to brush up on DS&A before I grind leetcode for the next job. Anyone use the UCSD Coursera form? Worth it?

https://www.coursera.org/specializations/data-structures-algorithms

Is it this one? https://www.coursera.org/specializations/data-structures-algorithms

I'll check it out, give thanks y'all for your assist.

Every bit of at present, I am familiar with the basics of programming (loops, arrays, functions, file I/O, 2nd arrays, and recursion). I am interested in taking this specialization on Coursera, https://www.coursera.org/specializations/information-structures-algorithms. I was wondering if you guys could please tell me what other concepts I should learn first before taking this specialization. I don't desire to move as well far ahead and skip fundamentals.

I too am in the aforementioned position, I have decided to do the UCSD course on coursera and simultaneously practise on leetcode/hackerrank.

For python, meet my reply for u/vishkv I've given him some resource about python. You tin can report this on coursera.

My progress has been excruciatingly slow. I started learning python in January, and then did some data scientific discipline specialization and learned pandas and information technology's ML libraries. Then did a piffling chip of backend in django. Later on that, I did a project on ML which actually additional my coding skills. So I learned nigh databases for maybe a calendar week. Finally I completed the Andrew NG motorcar learning form which gave a really good foundation of what to expect in machine learning. Information technology was a heavy grade(at least for me). Now, I'one thousand once again learning backend in django. I'll learn excel afterwards(I know that's kinda going backwards but excel is super like shooting fish in a barrel and useful and won't take much time to learn). I'g also planning to exercise some good projects in Machine Learning and start from kaggle.

​

If I can give you one advice, it'd exist kickoff preparing from Data Structures from right at present. They're really heavy stuff, so it'south much better to devote 30 infinitesimal to an hour daily instead of cramming them upwardly because you can't cram them. They're like math, y'all can't just practice information technology in less fourth dimension, you gotta practice. And so kickoff slow, merely give them some fourth dimension don't relieve information technology for the stop trust me.

​

I'm sorry if and so much info looks overwhelming only some of these things didn't took me more than a week to complete so they're not that hard

I'one thousand currently learning data structures and algorithms equally a informatics educatee, so my communication might be biased to my fourth dimension as a student, simply here goes nothing:

1. If y'all're a student, focus on your Fundamentals of Algorithms class (idk what information technology is at other schools) and your CS2, CS3 classes (Or your Information Structures class). They are designed for this very purpose.

2. If y'all want to get past school curriculum or are learning on your own: audit this form it helped me a ton with my own classes and if y'all audit it, y'all get it for free and you lot can work at your own pace.

3. Lastly, read medium manufactures, word for word, on the subject. People (every bit far as I've seen) who write these articles try their all-time to explain complicated or esoteric concepts as uncomplicated as possible and when a concept is condensed to its most essential bits, every discussion is important.

Hopefully this helps! Good luck!

I don's accept a specific resources in mind, but checkout this coursera folio (I googled it, haven't taken this course myself but UCSD is a adept school)

https://world wide web.coursera.org/specializations/data-structures-algorithms

As you can encounter, they take 5 courses.

I would personally start with class 2 (data structures) before form i. I would say form 1 and course 2 are the nuts. if y'all like the showtime 2 courses and want more than avant-garde things, course 3, 4, and v look adept.

For your second question, the full general answer is no. A machine is a automobile, just a collection of compute, retentiveness, storage, and networking resources. Of course yous have more than control and visibility on your local machine (or machines), you can run across and modify how things are continued, etc... But unless you are programming a High-frequency trading algorithm (or any matter that really requires farthermost optimization at the hardware level), then I would say the infrastructure will not have a meaning impact on the way you design and structure your code.

I'm distressing to tell yous this, but there are no shortcuts in programming. The only manner yous are going to place out of 131 is by having a very good agreement of programming fundamentals. With that beingness said, I will give you the resources that I used to teach myself 120 and 121 when I was in high schoolhouse.

First and foremost, I recommend the C++ tutorial on https://www.cprogramming.com/

It is very condensed unlike a C++ textbook and has a few practice issues that yous can do. If y'all go up to polymorphism and inheritance, you will already have an equivalent cognition to 120 and 121. Later this, it would assistance to see the tutorial on www.cplusplus.com which is a bit more advanced (and provides ameliorate tutorials on pointers).

CPSC 131 is information structures. This is your first real Estimator Science course. In 120 and 121 you lot accept learned the basics of C++, but 131 is rooted in theory. My primary advice for you is to think modularly when attempting to solve a problem. First recall about the chore you want to complete, then break it downwards into the classes, objects, and methods you will need to complete this task. Only and then should you beginning writing code.

Nearly students fail Data Structures because they endeavour to approach the problem line past line. The first four courses in this online specialization are equivalent to a full course on data structures: https://world wide web.coursera.org/specializations/data-structures-algorithms

I wish you luck.

EDIT: I likewise feel the need to mention that generally, Udemy courses are not rigorous enough to provide an equivalent experience to a class. Coursera tin can exist expert. I have not tried Udacity, simply they have some courses that are equivalent to a college level class.

One of the Information Structures & Algorithms tracks on Coursera is a flake like. You submit your sourcecode, and the Coursera robots compile & run it on input they don't share with you lot. Your solutions need to exist efficient, so a beast force approach with a naive algorithm volition fail. It's fun.

Hm, yes... in the meantime I'm studying the same on Coursera. Awesome material, but information technology's paid but though if you actually want to upload homework.

https://www.coursera.org/specializations/information-structures-algorithms

you lot can exercise the exercises in c#

totally recommended

UCSD Extension is a joke. I've written plenty of times almost it already. The DS&A course can exist finished in one/two days. vii or 8 front end-loaded homeworks that don't require depth in DS&A to consummate, no exams, drop the weakest HW class. Everyone in the class gets easy Equally.

This Coursera specialization from UCSD plus some folks of HES, however, is no joke: https://www.coursera.org/specializations/data-structures-algorithms . Lectures are boilerplate/bad and instructors not very skilled at teaching (except for one), merely covers the unabridged DPV book and provides mathematical proofs in the lectures.

Have any of you tried to find cloth to preface for tough CS courses?

(Before I get downvoted to Hell), It's safe to say that CS 374 has gained quite a chip of notoriety for being ane of the toughest and most time-consuming classes a CS major would have to have.

I am currently working on the Data Structures and Algorithms Course by Coursera (it's by San Diego), and here'southward a link:

https://www.coursera.org/specializations/data-structures-algorithms

I know this is probably going to be way, manner insufficient for the rigor of the CS 225 and CS 374 classes, considering Coursera is Non the university feel, as bang-up as its resources are.

What are you lot guys'south methods for making your life in tough CS classes like 225 and 374 just a little fleck easier?

Status: Accepted (by Dept)

Awarding Appointment: 02/08/2019

Decision Date: 03/28/2019

Teaching: George Mason University, BS, Mathematics, 3.4

Feel:

<i yr Data Scientist, government consulting, Python/PostgreSQL

1 yr Data Annotator, government consulting, Excel/Tableau/Python

5 yrs U.S. Navy submarine strength, no CS experience

Recommendations: 3 (all submitted by 02/15/2019): supervisor from the Navy, professor who was my undergraduate research counselor, and latest employer.

Comments: My CS experience was limited to some undergraduate computational mathematics inquiry (Matlab), ane undergraduate Python course, currently ongoing Coursera Data Science specialization, and the last 1.5 yrs of my work experience. Given my minimal CS background, was planning on doing a Data Structures and Algorithms course this summer; https://www.coursera.org/specializations/information-structures-algorithms.

Looking back on the many hours I've spent anxiously refreshing this thread, I tin't say whether it was helpful or harmful to my psyche but information technology was certainly informative haha.

Thanks to those who shared on this thread and if anyone is interested in setting up a regular meet-up in the DC surface area this autumn or has whatever info on UCSD'southward data structures grade, experience free to PM me!

I'd say it'due south more difficult than CS 330 and the workload is significantly higher. CS 330, however, had less online resources to refer to. For CS 483, there are tons of YouTube videos that can aid you understand a specific concept or algorithm. Additionally, CS 330 had a couple projects only CS 483 is more homework focused (at least when I took it with Nordstrom and with Kosecka).

I'd suggest studying a bit during the summer. Princeton has some good courses on Algorithms (Part I , Part II) and Assay of Algorithms. If you study a bit over the summer, yous can striking the footing running and have i less affair to worry nearly come Fall.

I don't call up y'all can go university credit, merely there'due south some courses which offer a certificate to show you lot completed the course

https://world wide web.coursera.org/specializations/data-structures-algorithms?

https://www.coursera.org/specializations/data-structures-algorithms

As far every bit I know, those two are considered the reference algorithm courses. But if you want something that is less theory-oriented, more practical, I've heard good things about UC San Diego'southward algorithms form:

Data Structures and Algorithms Specialization

In this one, you become to implement a ton of algorithms.

If you do have this 1, let me know how you liked it. I'm because taking it myself.

Have you taken this specialization and tin can vouch for its excellence?

Curious how it might compare to this other ane which I have been thinking about and was highly recommended past colleagues.

I did Coursera's Algorithms and Data Structures a while back and remember them having good exercises (expert course too).
Not sure how accessible the exercises or materials are if y'all're not looking to follow the class schedule but I'd all the same suggest it's a worthwhile undertaking for anyone looking to go from beginner to intermediate Java developer.

https://world wide web.coursera.org/specializations/information-structures-algorithms

If you're open up to paying for 1, a big deal when information technology comes to getting jobs in the CS space is around being able to pass programming interviews, which like to test your ability to navigate different data structures and write algorithms that'll be reasonably efficient.

If you're looking for a paid certificate course, one I recommend is this Coursera Data Structures & Algorithms form series past UC San Diego, which covers a lot of concepts in DS&Algos and includes an autograder that'll test/benchmark your code for you. I forget what the monthly toll is, but information technology gets you access to all 6 courses in the series, and then if you blaze through them rapidly information technology'll be more cost-effective. If you lot haven't taken any kind of a DS&Algo course, y'all'd seriously benefit from this, 'cus at least where I'm from (USA), employers have a big kink for testing you on that content in interviews.

If you need to, you could also probably work the shit task and continue learning to code on the side as much as possible while you apply for better positions. When I started school I worked minimum-wage jobs for my outset years until I had the skills to move upwardly to cooler and amend-paying positions, it simply took a lot of trying. If you actually enjoy tech stuff, don't give up hope :)

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Source: https://reddsera.com/specializations/data-structures-algorithms/

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