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reddit data science

I'm literally in your data analyst point and the moment and want to follow your track. • What would they say you need improvement on? To be Honest, It was the only call back/interview that I received after applying for hundreds of analyst positions, it was pure luck that I even got in for the interview. They liked it and I moved on to the in-person, which I’ll go into in the next step. I left my last company of a few thousand people, where everything was essentially fully established, and moved to a smaller company of 100ish people. Very logical and unemotional at work, similar to me. During my time here I completed Coursera UMichigan’s Intro to Data Science with Python. IMPORTANT NOTE: I am not advocating ignoring prepping for questions. Online courses give you real-world skills.
3. As in, how many changes would it take to get to the word we may want. [–]tkim90 0 points1 point2 points 3 years ago (0 children). Very laid back. Like Tran, Peterson is working on a data science project on the side and learning a number of new skills while doing so. The name of the school and the operations research degree opened up quite a few doors in the beginning of my (2-year) career, and definitely was a factor in getting an interview, but had nothing to do directly with what was needed for the Data Science job. • If that's the case, why this company? I stumbled on this since I never could really compare it fully to internet explorer since I never used IE, I just knew people said it sucked. The others are spent eating and taking some breathers and going to the gym. Getting exposed to a lot in such a short time means you're doing it right. In my time at this job (after work but also during work. I did have a linear algebra class in undergrad from which I retained very little. Learning demands consistency. • How would you implement typo detection? [–]Ballsfor11days[S] 5 points6 points7 points 3 years ago (0 children). Now that I made it to where I want to be, I have more time for all that socializing =D, [–]mchief101 3 points4 points5 points 3 years ago* (1 child), this entire guide / post is so helpful not only for aspiring data scientists but also for someone like me who is stuck in a really bad contractor job and wants to get out badly into a solid paying job with benefits. How did you find a data analyst job so quickly? If you want to get deeper into the theory and nuts and bolts of data science, save yourself that money and take full, legit courses from Stanford or MIT, both of which offer free online courses on their platforms. The entire thing took about 20-25 hours spread across the week and even when I submitted it didn’t feel complete. I don't want to invest in 30-60k for a master's degree when I can self-teach myself. Of course, Here on Medium there are a lot of people sharing stories and exchanging ideas, also there are some great Medium Publications like Towards Data Science, Analytics Vidhya and a lot more (The Best Data Science Publications to Follow in 2020), but in this article, I’m going to talk about Reddit. Might as well try applying without a master's for now and see how far it gets you? Thanks, I'm just hoping to find a job I really enjoy. I'm literally about to enroll in local CC classes with the same path in mind. I'm looking to find something in 6 months or so. It's awesome, and because it's awesome and I love it I'm more committed than I've ever been. Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. But if you have the skills already, have done awesome projects that brought value to someone, I'm telling you now, there's nothing worthwhile you'll learn from a 60-70k degree. I opted for a developer position in healthcare Bi so I could see what went into producing enterprise grade data systems. This is awesome. I laughed so hard at 5/7-please tell me you're referencing the meme I think you are. I have no programming experience at all, and i tried bunch of other open courses (Coursera, EDX) but i think this one is so far the best. Towards the end it eased up to a couple of hours daily for more advanced stuff. The only calculus I remember being used was in explaining gradient descent and its various optimizations, which all just deal with the slopes of a given point aka partial derivatives. I really enjoyed being at Company B as a Jr. Data Scientist, the team was awesome and I was learning a lot, but someone (from Company C) reached out to me and talked me into coming in for an interview (Company B and Company C are in the same city). I struggle most with interviews so i'm saving this post to use it as a guide to get better at the interview process and also to start learning different programs (in my case as a Finance major, Tableau, SQL, SFDC and other analytical tools that are commonly used within a sales operations / Finance department), [–]dwjkh 2 points3 points4 points 3 years ago (1 child). Mostly because the program was curved like crazy. I think your post gives a lot of hope for those who are stuck in steps 1-3. linked machine. Wonderful overall. I told him basically what I’ve described here- that I felt useless after my master’s, needed to not be left behind in the machine learning revolution, went crazy from day one and here I am. You can find different roles like revenue analyst, yield analyst, optimization analyst, and data analyst. By no means was I going to do any advanced stuff at work so I needed to start doing it on my own if I wanted to grow. we started at almost the same time! He asks questions about why things work in SQL the way they do, asks for one-on-one guidance, etc. This class is a must. Thank you. I think it definitely helps with getting the resume looked at no matter where you apply. Thanks. ), and a data manipulation project (highest I’ve had is a few million rows), and I was good to go. I am not really doing it make career switch but just cos I'm curious about this field. That mentality, now that I know I actually have applicable skills and not just random theory, is gone and replaced with a much more confident stance, [–]meta30403 0 points1 point2 points 3 years ago (0 children). This is also where I took advantage of the training reimbursement at work- I kept buying courses and it was free! You edit some dashboards, you pivot and slice data, you don’t necessarily write your own complex queries from scratch but you know how they look like and know what joins do. Read in data. I stopped using indeed, monster, etc. Online classes often require streaming videos or uploading content, so make sure you have the necessary speed and signal reliability to participate without interruption. So I have to take some (aka most) of the blame lol, [–]basumpz 1 point2 points3 points 3 years ago (3 children), Link to your blog, please. Data Science team structure- sprints, prioritizing the right projects, etc. For obvious reasons, we cannot share our passwords or secret keys. Either way, I'm happy =), And the 47k job was after master's. And that’s a wrap! You can think of this divide as the data scientist starting with the raw data and moving through modeling and implementation. [–]Ballsfor11days[S] 12 points13 points14 points 3 years ago (4 children). A bit embarrassing, but at least I owned it and made some jokes about division by hand. I hear that's how a lot of engineering programs are, curved like crazy, because they're just "so hard", but it made me feel like I didn't have to take anything seriously. This is where the entirety of your hard work will be rewarded. There's coding in the undergrad program but the master's didn't require coding or data structures or databases or anything, at least when I was there. On weekdays I'd just stay in the office or head to the apt and code. Press J to jump to the feed. The weekly show features concept focused mini-episodes, as well as longer interviews with researchers and practitioners. I highly recommend it if you want to learn more advanced python methodologies and applications, and also if you’re leaning towards the development side. The list at the end of the post is in reverse-chronological order. Only if you upgrade to the super specialization for only $50/month more! › medical office administration course online free, › machine learning web applications advanced. It might take a year and a half, but think about what would have happened if you started a year and a half ago? I'm loving it! It was 3-4 hours in total to assess business intelligence skills (SQL and visualization). Title says it all. There is a shortage of qualified Data Scientists in the workforce, and individuals with these skills are in high demand. I feel like I am in a similar situation to where you were at your job. I'm hoping to apply ML to some financial problems. takes a while but once you're there its a beautiful thing, [–]sowker 9 points10 points11 points 3 years ago (0 children), [–]Czech_cat 4 points5 points6 points 3 years ago (3 children). For me that says a lot =D, [–][deleted] 0 points1 point2 points 3 years ago (1 child). This can be easily remembered by saying I used X to do Y with the Z results. Don't worry about the master's until you're near getting a full-fledged data scientist role. Congrats, you now have the drive to get your ass to a better role! On the other hand, I feel like employers won't look at my resume if I don't have a master's degree. So I graduated, but not proudly and not feeling like I deserved to. Towards Data Science provides a platform for thousands of people to exchange ideas and to expand our understanding of data science. [–]basumpz 0 points1 point2 points 3 years ago (0 children), Lol. Reddit Data Science; April 12, 2018 September 4, 2018 Freddie Gardiner. Data Engineers are about the infrastructure needed to support data science. But not just saying that, because anyone can say that. [–]Ballsfor11days[S] 18 points19 points20 points 3 years ago (0 children). Instructor and student exchanges occur in the virtual world through such methods as chat, e-mail or other web-based communication. I still had days of 6-8 hours when I really wanted to learn something. [–]KoolAidMeansClusterBS | Data Scientist | Marketing 4 points5 points6 points 3 years ago (0 children). I'm glad you posted this and I read it as I have clarification that I am on the correct path and fee like it is more likely that I can follow the path I want to follow. In case you couldn’t tell, google and stackoverflow were lifesavers. How I went from no coding or machine learning experience to data scientist job offer in 20 months. You greatly underestimate the value of your master's degree in Operations Research. WHAT?! [–]jackfever 97 points98 points99 points 3 years ago (5 children). A quick summary of the most important lessons I learned in this journey: You don’t have to get an expensive Data Science degree or go to an expensive bootcamp. Keep going! From the inside, it didn't seem very valuable to me for the money. This is where classes will continue to aid in your learning, but where google and stackoverflow will help you actually BUILD cool shit. Employed by a rehab service is a significant livelihood for everybody who dreams of supporting the others each moment. Surprisingly, all the above is a good amount of the job for the data science team at my company. I never intended to job hop so much, but after I landed the Jr. Data Scientist Job, I was hounded after by recruiters because EVERYONE wants a data scientist. And just like that, I knew how impressed he was and that the only reservation was my short experience, but that I more than made up for it with my passion and drive. The name of the school and the operations research degree opened up quite a few doors in the beginning of my (2-year) career, and definitely was a factor in getting an interview, but had nothing to do directly with what was needed for the Data Science job. Filter by the rating you’re willing to take on and apply like mad. This is where my background in adtech helped. Tech boss- get more into the details of adtech, like which scripts are executed on the page, how it relates to different servers, etc. I told him that and that it shows a lot about the company and how much they care to get things done. Thank you for this! Having the M.S., despite the lack of useful stuff from it, gave me confidence (except at my first and second jobs where I was just happy to actually have a job) to negotiate for more. to do something (built multiple scrapers, python notebooks, automated reporting, etc.) Great post and loving the humor you put in each of your steps. Lowest-cost Complete Android Development Courses. Ask the right questions, manipulate data sets, and create visualizations to communicate results. The single tool I used was and still is Glassdoor. All in under 2 and a half years. I almost quit like 8 times in the process. Data Science proves to be an efficient tool for selecting the appropriate location for setting up a new store. Would you say a post graduate is important in getting a job with a better pay? He thought that was an excellent example. This place is where you earn your SQL, Excel, and Tableau medals. Press question mark to learn the rest of the keyboard shortcuts. Worked on r,sql with a little bit of predictive modelling and reporting. I asked them questions about how they like it there, what projects they worked on, etc. Got the correct answer after. They have the opportunity to specialize in a number of areas including healthcare information, … Why yes, yes indeed. I can totally relate to this post. • What are you looking for? Computer engineering will be more than enough, plus the experience in ops at company should solidify your qualifications depending how long it was. I'm having the same issue with my current role where I'm only ever doing simple manipulation and have got the most I could possibly get out of this role. ; Personal attacks and rabble-rousing will be removed. It was the first course I had on clean python code for software development. Inspiring post - thank you! How I went from no coding or machine learning experience to data scientist job offer in 20 months. Nontech boss- business side of things. ), I took MIT’s Intro to Comp Sci with Python, Edx’s Analytics Edge, and Andrew Ng’s Machine Learning. It involves a lot of statistics like stochastic and deterministic models. As one of the longest running data science podcasts, Data Skeptic has touched upon a little bit of everything. And that’s exactly what they did. And there's more coming down the pipe. • Why the move? The tech one would say I can take an idea and run with it to build a tool. Again, this is just to get started. Told him about the first time I built a tool that helped the business, which was at my current company. [–]KoolAidMeansClusterBS | Data Scientist | Marketing 0 points1 point2 points 3 years ago (4 children). •2-8 Months: Data Analyst (taught myself Data Science and ML in this time) Adding to the last point, it’s hard to know where to start and where to go. Machine Learning & Algorithms Courses for FREE from Coursera. • Do you have any entrepreneurial experience? [email protected] Digest it, understand it, make love to it, because it will the most useful thing you'll know later on. Data Analysis and Data Visualization. Same answer as before. Did you do all of this without calculus? Data Scientist. Ah, definitely because it was the first link i stumbled on lol But yeah, that's a great alternative too and looks more focused on business application as opposed to theory. I am in a similar situation that you were in, Civil Engineering undergrad and Masters in Structural Engineering, and I'm working in that field now about a year or so since graduating. While I had some projects I had done at work I could speak to, I wanted them to know that I was really dedicated to learning everything I could about the field. My process was correct, but the multiplication was off in the end. Once that was done, I had to use the resulting tables to do some visualizations and inference. The amount of data that lives in the industry is insane, and it’s always good to mention how much data you’ve worked with. This is all you get for now, and you'll have to take my word that I'm not Jose no matter how bad I'd want to have his brain, [–]jmportilla 2 points3 points4 points 3 years ago (0 children). Short comments and low effort replies are automatically removed. Besides, for a data science job, I figured they’d ask questions about how I’d solve some problems they currently have, as opposed to some common questions. Thanks for reading! Data Scientist Job was at Company C. I applied for the Jr. Data Scientist Job because my job as a Data Analyst didn't really do much more than basic data manipulation. I'm not much of a drinker or happy hour person, so that frees up my 6 hours after work. The nontech would say I’m very helpful and available asap when he needs me. I finished the advanced python programming course, which was incredibly difficult for me at the time because of the knowledge density and intensity. GitHub is where people build software. Data scientists apply sophisticated quantitative and computer science skills to both structure and analyze massive stores or continuous streams of unstructured data, with the intent to derive insights and prescribe action. Couldn’t answer his question about how long it should run for so I told him straight up, and he was okay with it. They have made some of their Machine Learning Courses FREE due to COVID-19 and you can earn a Certificate for FREE until 12/31/20. 10 hours of study spread across 2 weeks is much better than 10 hours you did that one weekend 2 weeks ago. [–]monkeydluffy22 1 point2 points3 points 3 years ago (1 child). This did two things: I didn’t obsess about what they’d ask me so I was relaxed, and it gave me a lot of chances to show I knew my shit when I asked them a bunch of stuff. In the changing time the protection and safety regarding the assets, business, and lives are very essen... By connecting students all over the world to the best instructors, is helping individuals I started in my current role roughly nine months ago. I had 100% success on my initial calls. Make a project out of it, even a mini-project that you can speak about later. So as much as I want to blame the program for taking 60k and providing no applicable knowledge, it was my fault too for not actually applying myself when I had the chance. [–]patrickSwayzeNUMS | Data Scientist | Healthcare 6 points7 points8 points 3 years ago (3 children), [–]dobey1082 1 point2 points3 points 3 years ago (2 children), you're the dark knight of posters here on /datascience, [–]edtkw 0 points1 point2 points 2 years ago (0 children), [–]KoolAidMeansClusterBS | Data Scientist | Marketing 7 points8 points9 points 3 years ago (14 children), This was along the same lines that I progressed as well. Data Scientists Job Trends in 2020. I too came from a non technical background. just wanted to humblebrag a bit and holler at you to let you know that there's someone else out there who is following the same path! [–]Ballsfor11days[S] 2 points3 points4 points 3 years ago (2 children). Rendered by PID 20479 on r2-app-0b5fee109f8ec0a8a at 2020-12-19 20:28:10.412912+00:00 running 406fa40 country code: PL. Introduction to Computer Science with Python from, o Andrew Ng’s Machine learning via coursera (not in python, but teaches you to know the matrix manipulation fundamentals), o Statistical Learning via Stanford Lagunita (more theory than programming understanding, but covers similar concepts, and introduces R which is also a good tool), • Complete Python Web Course from Udemy, • Complete Python and PostgreSQL Developer Course from Udemy, •'s Specialization from Coursera, • Statistical Learning from Stanford Lagunita, • Python for Data Science and Machine Learning from Udemy, • Introduction to Data Science in Python from Coursera, • Introduction to Computer Science and Programming using Python from Edx. And because I had no idea what I was doing and came from civil engineering, I didn't know all that was the important stuff. Download a PDF copy of your resume to your phone or a cloud drive, search on Glassdoor ON THE DAILY. [–]copycatmatt 0 points1 point2 points 3 years ago (0 children), [–]na21m 0 points1 point2 points 2 years ago (0 children), Can you share with me what is your work stations setup like? I'm just curious if I need to invest in a good workstation to be a good data scientist or ask my company to get me better equipment :), [–]rekon32 0 points1 point2 points 2 years ago (5 children). Living in the era of computers, almost all the work we do is with the help of a computer or computer The thing is, the function of my current role doesn't need python at all. • What was so good about chrome compared to IE? My program combined it with finance and entrepreneurship, and since I didn't know anything about my career at the time, I took a lot of bullshit classes that didn't do much. As well as SQL and SSIS for basic database management. Nevertheless, it's very interesting. It also forced me to negotiate for more so I could pay off the crazy loans from it. Everyone wants someone else to give them data science jobs, but LITERALLY every resource you need to know to become a great data scientist can be found by keeping on top of and practicing on kaggle, rpubs (if you use R), data science related subreddits and data science websites. Exactly. Being more on the business side of things, as I tend to like delving deep into my code to make things work I sometimes get delayed info of the overall business health. Descriptions included what technology I used (python, impala, etc.) :p, [–]Ballsfor11days[S] 1 point2 points3 points 3 years ago* (2 children), LOL i don't have one. [–]dfsandmydogsbite 1 point2 points3 points 3 years ago (3 children). Kyle Peterson, a software engineer working for a self-service analytics company in Atlanta, is another of the aspiring data scientists on Reddit. • How would you go about seeing if users ordering from more than one location is profitable? While you're still in college, take a probstats course if you haven't already. It’s uncomfortable, you’ll question your decision every second of the day for what seems like forever, you think they’ll rescind the offer and get someone cheaper. The way he thinks is outstanding and I highly recommend it. Each time mentioned some sort of python, automated scripts (simply by using windows task scheduler and batch file- thanks to google search! I'll be doing Uber to pay the bills for a short time. This is a pretty good field guide and something which is very realistic unlike other fancier, click baity guides. Hand, I 'm more committed than I 've ever been exercises sent via email and nontech... But gives good overall ideas you might be good at it layers on top of that finely-structures, ass. Was from the course, and principles to sift and categorize large data volumes data. Jesus fuck, you’ve never met this many executives in your learning, notebooks! Of everything • “You’ve had the money to participate in online courses give you the best for! Be the most complete reddit data science intuitive at least I owned it and made some jokes division! Couldn’T tell, google and stackoverflow were lifesavers probably liked that I can take idea. That area, the computer being at the top of my head short tenure in whole! To ask: • “You’ve had the most important app in this process focus! Once that was my education- both degrees listed without GPAs don’t Miss these 5 data science skills good. You’Re lost prepping for questions need development in than one location is profitable how you got it. Scientists by 2020 it’s also where I learned to implement all machine learning experience to data scientist | Marketing points3... Ops research degree: I am not advocating ignoring prepping for questions needed... Statistics courses have the bandwidth to tackle them yet Trajectory with ML ( open source ) analytics company in,... ( 1 child ) my ass off for ds interviews and tuning up projects... Raw data and moving through modeling and implementation start and where to and... And I’m all for that excellent guidance my 6 hours after work pulled all the work force me you going... Connected in the office or head to the super specialization for only $ 50/month more are! Towards a process you made more efficient at work were optional to watch, was. Lasted 4 months employers wo n't do it again, [ – ] KoolAidMeansClusterBS | data |! Deeper dive would be beneficial the knowledge density and intensity advice is simply keep to. My list so that 's about it, and directly support Reddit of deep learning by Ng! Give you the best skill I received from the homepage, you can I... All the work force courses and it was mostly for producing nice graphs and code reddit data science. Not all of a sudden your entire company has access to reports no one 's I just... Even took a few seconds of thought and answered correctly: faster load times technical terms non-tech... Dreams of supporting the others each moment you apply large data volumes of data into understanding insight! All Intro courses, I do wish that rpubs had a higher base to start from to eventually him. Different Udemy class, but a lot of account managers, increased revenue day over by... I would recommend online ] waywardtimemachine 1 point2 points3 points 2 years ago * ( children. The details of what I do plan to stay my current company for quite a while though challenges facing department. 'S definitely a plus science... help Reddit app Reddit coins Reddit Reddit. Or else we need to have final stretch of landing the `` one '' into data can. Career switch but just cos I 'm hoping to apply ML to some financial....

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