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Search - "data science course"
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I'm drunk and I'll probably regret this, but here's a drunken rank of things I've learned as an engineer for the past 10 years.
The best way I've advanced my career is by changing companies.
Technology stacks don't really matter because there are like 15 basic patterns of software engineering in my field that apply. I work in data so it's not going to be the same as webdev or embedded. But all fields have about 10-20 core principles and the tech stack is just trying to make those things easier, so don't fret overit.
There's a reason why people recommend job hunting. If I'm unsatisfied at a job, it's probably time to move on.
I've made some good, lifelong friends at companies I've worked with. I don't need to make that a requirement of every place I work. I've been perfectly happy working at places where I didn't form friendships with my coworkers and I've been unhappy at places where I made some great friends.
I've learned to be honest with my manager. Not too honest, but honest enough where I can be authentic at work. What's the worse that can happen? He fire me? I'll just pick up a new job in 2 weeks.
If I'm awaken at 2am from being on-call for more than once per quarter, then something is seriously wrong and I will either fix it or quit.
pour another glass
Qualities of a good manager share a lot of qualities of a good engineer.
When I first started, I was enamored with technology and programming and computer science. I'm over it.
Good code is code that can be understood by a junior engineer. Great code can be understood by a first year CS freshman. The best code is no code at all.
The most underrated skill to learn as an engineer is how to document. Fuck, someone please teach me how to write good documentation. Seriously, if there's any recommendations, I'd seriously pay for a course (like probably a lot of money, maybe 1k for a course if it guaranteed that I could write good docs.)
Related to above, writing good proposals for changes is a great skill.
Almost every holy war out there (vim vs emacs, mac vs linux, whatever) doesn't matter... except one. See below.
The older I get, the more I appreciate dynamic languages. Fuck, I said it. Fight me.
If I ever find myself thinking I'm the smartest person in the room, it's time to leave.
I don't know why full stack webdevs are paid so poorly. No really, they should be paid like half a mil a year just base salary. Fuck they have to understand both front end AND back end AND how different browsers work AND networking AND databases AND caching AND differences between web and mobile AND omg what the fuck there's another framework out there that companies want to use? Seriously, why are webdevs paid so little.
We should hire more interns, they're awesome. Those energetic little fucks with their ideas. Even better when they can question or criticize something. I love interns.
sip
Don't meet your heroes. I paid 5k to take a course by one of my heroes. He's a brilliant man, but at the end of it I realized that he's making it up as he goes along like the rest of us.
Tech stack matters. OK I just said tech stack doesn't matter, but hear me out. If you hear Python dev vs C++ dev, you think very different things, right? That's because certain tools are really good at certain jobs. If you're not sure what you want to do, just do Java. It's a shitty programming language that's good at almost everything.
The greatest programming language ever is lisp. I should learn lisp.
For beginners, the most lucrative programming language to learn is SQL. Fuck all other languages. If you know SQL and nothing else, you can make bank. Payroll specialtist? Maybe 50k. Payroll specialist who knows SQL? 90k. Average joe with organizational skills at big corp? $40k. Average joe with organization skills AND sql? Call yourself a PM and earn $150k.
Tests are important but TDD is a damn cult.
Cushy government jobs are not what they are cracked up to be, at least for early to mid-career engineers. Sure, $120k + bennies + pension sound great, but you'll be selling your soul to work on esoteric proprietary technology. Much respect to government workers but seriously there's a reason why the median age for engineers at those places is 50+. Advice does not apply to government contractors.
Third party recruiters are leeches. However, if you find a good one, seriously develop a good relationship with them. They can help bootstrap your career. How do you know if you have a good one? If they've been a third party recruiter for more than 3 years, they're probably bad. The good ones typically become recruiters are large companies.
Options are worthless or can make you a millionaire. They're probably worthless unless the headcount of engineering is more than 100. Then maybe they are worth something within this decade.
Work from home is the tits. But lack of whiteboarding sucks.37 -
1. I wish that people start taking back their device ownership. Right to repair is an extremely important thing. Like that Nexus 6P that I've recently repaired by jamming another battery into it, now it's at 110-ish% health according to AccuBattery. And it cost me.. €10 or so? All the while if I wasn't able to get in there, it would've been a €120 paperweight (and that's not even considering the €300-ish (? Someone please fill me in on that) price it retailed at back in 2015 when it was a flagship).
(edit the so many'th: according to https://express.co.uk/life-style/... the base model was apparently £449 at release, haven't been able to verify it though.. point is, a paperweight at such prices would've been quite a bummer, I mean for me it was even one given that it failed a mere few months after purchase for €120.. €40/m for a phone ain't nothing :/)
Right to repair is an extremely important thing, and the ability to do so shouldn't ever be impeded. Users should become able again to service the devices that they own.
2. I wish that people start caring about their privacy again. Google and Facebook and the likes are large companies, but at the end of the day, that's all they are. Large companies. And they're hungry for your data, not because they're selling it, rather because they're collecting it to an extent which they shouldn't. Over at DDG (https://spreadprivacy.com/duckduckg...) they explain a very much viable alternative revenue model pretty well. Additionally, there's several tools which you can use to limit the amount of data that's being collected about you. These include but are not limited to Firefox, NoScript, ad blockers (I personally use uBlock), a trustworthy VPN (ideally one of your own), and Tor.
3. I wish that software would become less inefficient. It really pains me to see that applications with functionality that could be implemented in a couple of MB at most come at a size of several hundreds of MB. 1% efficiency, even the inefficient as fuck tungsten light bulbs weren't that awful!!! Imagine what could be done with all the hardware we have available nowadays, if every piece of software would be around 80% efficient as is a common norm in electronics. Just looking at Linux which is still in many ways convoluted, modern desktops with a couple hundred MB of RAM usage? You've got it! So why can't OS's like Windows (although I have to say, huge improvements have been made there over the last few years) and browsers like Firefox and Chrome be more like that? I really don't understand.
There's several more wishes I have of course, but those are the most important ones.. hopefully I'll be able to see at least one of them come true during my life.10 -
Two years ago I moved to Dublin with my wife (we met on tour while we were both working in music) as visa laws in the UK didn’t allow me to support the visa of a Russian national on a freelance artists salary.
After we came to Dublin I was playing a lot to pay rent (major rental crisis here), I play(ed) Double Bass which is a physically intensive instrument and through overworking caused a long term injury to my forearm which prevents me playing.
Luckily my wife was able to start working in Community Operations for the big tech companies here (not an amazing job and I want her to be able to stop).
Anyway, I was a bit stuck with what step to take next as my entire career had been driven by the passion to master an art that I was very committed to. It gave me joy and meaning.
I was working as hard as I could with a clear vision but no clear path available to get there, then by chance the opportunity came to study a Higher Diploma qualification in Data Science/Analysis (I have some experience handling music licensing for tech startups and an MA with components in music analysis, which I spun into a narrative). Seemed like a ‘smart’ thing to do to do pick up a ‘respectable’ qualification, if I can’t play any more.
The programme had a strong programming element and I really enjoyed that part. The heavy statistics/algebra element was difficult but as my Python programming improved, I was able to write and utilise codebase to streamline the work, and I started to pull ahead of the class. I put in more and more time to programming and studied personally far beyond the requirements of the programme (scored some of the highest academic grades I’ve ever achieved). I picked up a confident level of Bash, SQL, Cypher (Neo4j), proficiency with libraries like pandas, scikit-learn as well as R things like ggplot. I’m almost at the end of the course now and I’m currently lecturing evening classes at the university as a paid professional, teaching Graph Database theory and implementation of Neo4j using Python. I’m co-writing a thesis on Machine Learning in The Creative Process (with faculty members) to be published by the institute. My confidence in programming grew and grew and with that platform to lift me, I pulled away from the class further and further.
I felt lost for a while, but I’ve found my new passion. I feel the drive to master the craft, the desire to create, to refine and to explore.
I’m going to write a Thesis with a strong focus on programmatic implementation and then try and take a programming related position and build from there. I’m excited to become a professional in this field. It might take time and not be easy, but I’ve already mastered one craft in life to the highest levels of expertise (and tutored it for almost 10 years). I’m 30 now and no expert (yet), but am well beyond beginner. I know how to learn and self study effectively.
The future is exciting and I’ve discovered my new art! (I’m also performing live these days with ‘TidalCycles’! (Haskell pattern syntax for music performance).
Hey all! I’m new on devRant!12 -
I've dreamed of learning business intelligence and handling big data.
So I went to an university info event today for "MAS Data Science".
Everything's sounded great. Finding insights out of complex datasets, check! Great possibilities and salery.
Yay! 😀
Only after an hour they've explained that the main focus of this course is on leading a library, museum or an archive. 😟 huh why? WTF?
Turns out, they've relabled their librarian education course to Data science for getting peoples attention.
Hey you cocksuckers! I want my 2 hours of wasted life time back!
Fuck this "english title whitewashing"4 -
So my first job is also my current one. I am a computer science student and for my course we had to do a project for an actual client. The client was a consultancy company and after working my ass off, their software development partner decided to hire me and a classmate.
The company is pretty small (we are now with the 6 of us) and the general attitude is very nice. I've only been working there for a few weeks and I feel very welcome. The work isn't too hard (mainly web development with geographic features/data).
In rough lines the stack always consists of a Java Rest API and an Angular frontend that retrieved the data from the API.
So far I have learned a ton and I am really happy that I have this opportunity. Lunch is provided and we always eat together, we crack jokes, have fun, play games in the break. Coffee machine next to my desk. I'd love to work here all my life :d
Since I'm still in school I can't go to the office every day. Instead I am at the office every Monday and on other days I try to work from school or home.2 -
Most kids just want to code. So they see "Computer Science" and think "How to be a hacker in 6 weeks". Then they face some super simple algebra and freak out, eventually flunking out with the excuse that "uni only presents overtly theoretical shit nobody ever uses in real life".
They could hardly be more wrong, of course. Ignore calculus and complexity theory and you will max out on efficiency soon enough. Skip operating systems, compilers and language theory and you can only ever aspire to be a script kiddie.
You can't become a "data scientist" without statistics. And you can never grow to be even a mediocre one without solid basic research and physics training.
Hack, I've optimized literal millions of dollars out of cloud expenses by choosing the best processors for my stack, and weeks later got myself schooled (on devRant, of all places!) over my ignorance of their inner workings. And I have a MSc degree. Learning never stops.
So, to improve CS experience in uni? Tear down students expectations, and boil out the "I just wanna code!" kiddies to boot camps. Some of them will be back to learn the science. The rest will peak at age 33.17 -
I can’t believe that Python takes the 3rd place of the most commonly used languages in 2023.
Stack Overflow Developer Survey:
https://survey.stackoverflow.co/202...
Wtf?! I would have thought that it’s just used for small scripts occasionally that don’t change frequently and just rot in some project for years.
And of course there are some niche Data Science and Math areas where Python is used primarily.
Maybe Machine Learning and "AI" as well.
But 3rd place? Almost 50% of devs use Python?
Can someone explain?23 -
I am Graduate student of applied computer science. I am required to select my electives. Now i have to decide between Machine Learning (ML) and Data Visualization. My problem is Machine Learning is very theoretical subject and I have no background in ML in my undergrad. In data visualization, the course is more focused towards D3.js. Due to lack of basic knowledge i am having second thoughts of taking ML. However, this course will be offered in next Fall term. And i am also studying from Coursera to build my background till that time.
I know there is no question here but I need a second opinion from someone experienced. Also, please suggest any other resource that I should look into to build my background in ML.2 -
I have a course at my university about personal data and it feels more than a law course than a computer science one. I asked the teacher why do we have to be taught that subject and how would we be able to use what we learn in real life and she got triggered, telling me that with just by coding I won’t achieve anything and i have to learn more topics and if I didn’t want to be taught this subject why did i choose the university.
I just made a question you fuckin butthurt, chill the fuck out.3 -
2018: Data Scientist = Stack overflow copy pasting: "I followed a 12-hour 'DS' course on Lynda!"
lm() # science2 -
Hello.
I am a student of Computer Science Engineering (Bachelor of Technology). I am 3 years into this 4-year course. I am strong in Data structures and Algorithms, and passionate to add more stuff to this list.
I am really done with this University coursework, and want to explore more (specifically, want to do something that is practical, and matters). I, obviously cannot leave the Uni, but I want to make my time at home more productive. Not just to me, but everyone.
But:
1. I don't know where to start.
2. I teach myself everything, and hence, there is much difference between what I know and what people need, and I'm kind of scared of ruining/wasting other's time.
If there is someone out here who has the time out of his/her busy schedule to guide and set me on a path, please do help me. It's getting weird in my head.
Languages I know: C(took a 1-year course), Python, JavaScript [learning JAVA], Oracle, Visual Basic
Things I have done before:
* Developed a fullstack website for Indian Railways (going live in May 2019) [used Python for back end]
I have a sincere need from within to do this, and I am going to learn whatever more I need to, in order to fulfill your requirements. Please just show me WHAT and from WHERE.
Kindly do get back.3 -
So after a couple years working at this company, the faculty I graduated from introduced a postgrad (masters) course in data science. I was always interested in the field, so I said fuck it and jumped the bandwagon...
I'm starting this week, I'm kinda worried my knowledge of maths and statistics got a bit rusty since graduation. Also most students there will be 4 years younger than me, and I'll keep doing my full-time job at the same time. But hey, at least I'll break the routine, and I can always quit my job if it turns out I can't do both, so whatever.
That's all folks!1 -
Hey DevRant!
Not really a rant but a question:
I just got accepted into a coding bootcamp. Have any of you been involved in one? How was it? What would you do to make it a better experience throughout? Any advice or suggestions?
It's full time, six months long and I start in October and I want to make sure I make the most of the experience and absorb as much as possible.
I'm super happy that the course appears to be less just learning JavaScript and more involved in the Computer Science side of things, even including bits about C/C++, distributed systems, algorithms and data structures, software design/testing, cryptography, database management, and computer architecture. It also, of course, covers tons of resume work, interview practice, and networking.
Thanks!5 -
Monday marks the beginning of a new month. In the new month, I turn a year older. As I steer further and further away from "youthfulness", I intend on starting a new chapter in my life.
Sunday 28th Feb is the last day I put any investment towards my "white-collar" professional career. Beginning March 1st, all my energy is going towards my entrepreneurial career instead.
This means that instead of learning that Huawei HCIA networking certification that I hate, I'm going to continue learning Docker (then Kubernetes) which I intend to use on my first product & the many more to come. Instead of studying the horrifyingly boring Data Science course, I'm instead going to put my energy behind understanding GCP & AWS, with the hopes of eventually getting certified.
Basically, I'm going to put all my energy into learning technologies that interest me AND have the potential to help me deliver on my entrepreneurial journey faster & better, rather than studying certifications which everyone believe will make me more employable.
Unfortunately, there aren't that many jobs going around & I'm currently under a year long internship with extremely smart graduates (a valedictorian included). The joke is we're earning $250 a month and have zero hope of getting employed anytime soon. I'm tired of going down this path.
I'm glad I got my degree in CS, now onto creating job opportunities for my fellow peers!
PS: Expect rants about my entrepreneurship challenges, and celebrations about my entrepreneurship wins!2 -
Got the GitHub student developer pack in 10th grade (highschool)
I recently made an application for GitHub student developer pack which got accepted .
If you don't know what this pack is all about , let me tell you this pack gives you free access to various tools that world-class developers use. The pack currently contains 23 tools ranging from Data Science, Gaming, Virtual Reality, Augmented Reality, APIs, Integrated Development Environments, Version Control Systems, Cloud Hosting Platforms, Code tutorials, Bootcamps, integration platforms, payment platforms and lots more.
I thought my application wouldn't qualify because after reading the documentation , I thought that It was oriented more towards college and university students but nonetheless I applied and my application got accepted . Turns out all you need is a school -issued verifiable email address or proof of you current academic status (marksheets etc.)
After few minutes of the application I got the "pro" tag on my GitHub profile although I didn't receive any emails .
I tested it out and claimed the Canva Pro subscription for free after signing up with my GitHub account.
I definitely recommend , if you are currently enrolled in a degree or diploma granting course of study such as a high school, secondary school, college, university, homeschool, or similar educational institution
and have a verifiable school-issued email address or documents that prove your current student status, have a GitHub user account
and are at least 13 years old , PLEASE APPLY FOR THE PROGRAM .
Checkout the GitHub docs for more info..
Thanks !
My GitHub GitHub Username :
satvikDesktop
PS. I would have posted links to some sites and documentations for further reading but I can't post url's in a rant yet :(5 -
!rant
Started Data Science course on big data universuty. The outcomes are heavily dependent on domain experts/stakeholders!!! Since all the answers are false positives and need to decide what make sense with the help of domain experts. And most of the Data scientists are not from programming background, they are domain experts who turned into Data scientists. Thoughts if I should continue with learning big data/data science, knowing that I have knowledge in information retrieval and search engines. -
Old one but popped into my mind today,
during 3rd year project, when all computer science students were mixed together,
I wrote the design / implementation doc
had a lot of acronyms as it was a technical course
referenced VS IDE
Idiot on team came along and decided to expand these acronyms
IDE became Intercompany Data Exchange
I lost the plot as he submitted it before i proof read the thing!
*face palm -
I am studying an online data science course in python offered by Microsoft.
The instructor uses Surface book and also has a Mac book on his desk for backup because windows.
He uses chrome all the time for his explanation to run jupyter.
The point is even they know their tech is shit but still "Windows has set your default browser to edge" - this happens
¯\_(ツ)_/⁻1 -
Did you miss this? Let me know if you're in. We are starting soon. https://www.devrant.io/rants/2733781
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!dev, !sponsored
It takes a fair bit for me to enjoy an online course, let alone want to recommend it.
if anyone is looking at using their "free" time learning something new during these troubling times, i would go look at the Packt Courses.
@whocares suckered me in the other day, and i have to admit, i dont regret it.
https://devrant.com/rants/2441665/...
So with that i would actually say to anyone wanting to get into:
- Java
- Python
- Go(lang)
- Data Science
- C++
- Ruby
- Clojure
- PHP
- webDev (html, css, javascript)
then checkout these workshops.
https://courses.packtpub.com/pages/...
or
https://courses.packtpub.com/enroll...
you can actually enroll into all of them using the free coupon, so theres that ☺
one down side is the lack of dark mode, but im sure we all have browser extensions for that.random i usually hate online courses @whocares covid-19 free time learn something new free courses i dont normally do this no dark mode2 -
So they're working on a way to store data in DNA. That means next generation computer science students have biology as a core course!
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Can anyone help me please?
I am in 7th semester pursuing B.Tech in Computer Science but haven't done any internship and not much familiar with the data structures and algorithm, but beside that I have done more than 40 freelancing projects, certified Redhat system administrator, put a course on Udemy about WordPress and wrote 2 books.
The problem is I am confused whether I should pursue M. Tech or not or should I start competitive programming for the placement in next semester or prepare for internship in the next semester. I am confused between all of these things.5 -
A note to the team designing recommendations on google ads:
Just because I search for deep learning concepts for personal learning, does not mean I will be purchasing every paid online data science course on the planet.7 -
so, next year i would like to get an internship at some small-medium sized company.
my GPA isn't the best in class, I'd rather say its below avg.
but I'm quite comfortable in multiple languages, built a couple of websites running in university with a user base of 4,000, right now I'm doing an online course in data science.
I'm not sure that they'd let me mainly because of GPA.
idk what to do.
ps: I'm planning for summer, I'm in 2nd year, i did an internship at real small local company as a xamarin dev -
Been applying with a couple of colleges for a certificate course on data management and the admissions coordinator is being a complete fuck! Called and left a message to which he offered to arrange a phone call if I felt like I needed it (I didn't at the time) and so I politely ended that particular convo by saying "thank you and I'll be sure to send any questions your way" (I think a gesture of good faith considering he did offer a phone call).
I sent him a couple questions the day after asking politely application dates and then another the next day (he hadn't replied at that point, but I suppose it's better to show interest than not, especially since I'm entering into this with not - a - engineering /computer science background) about whether a campus tour is available and also about funding. And the guy just hasn't replied! It's been two full days now and I'm pretty sure that's not exactly kosher for a program coordinator to do. Like was I being too persistent with the emails (3 in total) instead of just waiting it out in the dark? (the issue is I'd need to wait until the next cohort so May of next year instead of January so I'm in a rush!)
It doesn't help that it turns out that the program coordinator is a professor at the college 🤔 so I think maybe he's got some big d*** issues1 -
Need advice. I am totally lost in this data science course. Should I just cut my loses and abandon the class or continue to make a fool of myself. I feel totally lost and the rest of the class hates me4
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What's your opinion about the HarvardX data science course ?
Is it worth it when i would like to start a job as a Data science junior ?