data science portfolio reddit

Text, interesting titles and pictures of the results. Thanks for sharing! What does a good Github/portfolio for Data Science look like? I'm a FAANG data engineer, former analyst (yes: I escaped the Analyst Trap, if not in the direction I thought/hoped I was going to, yet) and current student in the UC Berkeley Masters of Information and Data Science (MIDS) program. that Radiohead songs analysis). This portfolio is a compilation of notebooks which I created for data analysis or for exploration of machine learning algorithms. 128. This is a huge pain point. The blog post that started it all. Repository containing portfolio of data science projects completed by me for academic, self learning, and hobby purposes. I would like to think that if I would be an HR I would definitely hire this guy www.rcharlie.com. A/B Testing. Stand-alone projects. Learn how to highlight your knowledge in a way that will inform, impress, and help you get the job. I'll start putting up some personal projects asap, and make sure my presentation is excellent. How about putting portfolio links on LinkedIn? A resume is a brief summary of your life, skills, talents, and experiences in recent years which is usually 1-2 pages long. This is the config file for changing the settings to your site. Agreed. While the tenets of rational, fundamental investing are likely to remain relevant, the future of investment research will be shaped by data science and by the dynamic models that don’t yet exist. Press J to jump to the feed. I am currently pursuing masters of IT in data analytics and without any doubt this article has given me a thorough understanding on next steps to follow. For this example, we’ll just make the edits directly from GitHub. Join the community waitlist. The problem is that you aren’t sure where to start, what projects to do, what languages to use, or even what techniques to use. Not a Real Data Science Degree. I've read on here that things like Kaggle competitions, replicating research, and blog posts where … The ideal time to work on your data science portfolio with these open source projects; From datasets on COVID-19 to a collection of AutoML libraries by Google Brain, there’s a lot of data science projects to learn from . [44] Data Science Central has also curated many datasets for … I learned and improved them over time. You'd love the portfolio to increase your name recognition in the field you want to move into. When learning data science, a valuable test is to “explain an algorithm to a friend with no background in machine learning.” This forces you to know the intuition behind your tools. You want to create a data science portfolio to showcase you can “do” data science. Discussion. By using our Services or clicking I agree, you agree to our use of cookies. We can go through courses, pour through books, or sift through articles. Treat it like a ELI5. Knowing enough statistics, machine learning, programming, etc t o be able to get a job is difficult. I think this should get stickied, along with that post that's now one of the top of all time around here about how to get a DS job without a coding/ML experience. I'm trying to beef up my Github/portfolio, but I'm not sure exactly what I should be shooting for. At Data Science Central, you can find a forum dedicated to data science, helpful resources and tutorials, networking events, and industry job opportunities. level 1. My advice is try not to worry so much about the lack of likes for now. Archived . I constantly get this question, and find that this post is a great resource. Press J to jump to the feed. However, after studying data science for some time, I am convinced that it will bring profound change to our profession. And finally a toolkit that you may have developped. This final exercise is similar. Join the community! I'm at the Python/R crossroads and really leaning hard to R. One day I hope to see a portfolio with loads of R, otherwise the painting is on the wall and perhaps I need to alter my path. You can just as easily clone a local copy and make the edits directly from your machine. I am glad you enjoyed it :) Really took a long time to write and find the relevant information. Here are eight ambitious data science projects to add to your data science portfolio; We have divided these projects into three categories – Natural Language Processing, Computer Vision, and others . I've been working on this lately as I'm working on moving up the ladder, it's great to have content but who boy is it disheartening when you spend a few hours writing something up and get 3 likes on an article. Introduction. For what it's worth, I'm applying to a lot of campaign data analyst positions and R still seems to be the go-to language (although Python is close behind). People often get confused between a resume and a portfolio. About Data: Our new Reddit Mentions … Press question mark to learn the rest of the keyboard shortcuts. This is my own project using image recognition methods in practice. There are multiple ways of learning data science. New comments cannot be posted and votes cannot be cast, More posts from the datascience community. What does a good Github/portfolio for Data Science look like? But, I'm not sure exactly what that should look like. Thanks, all the replies were really helpful. My 2021 recommendations for learning data science online. available in R that have not yet been ported. A separate category is for separate projects. Kaggle competitions. We are living in the midst of an unprecedented lockdown as governments around the world scramble to get a grip on the prevalent situation. Here’s 5 types of data science projects that will boost your portfolio, and help you land a data science job. My suggestion was to work on small data analysis projects then put them online as a data analyst portfolio, as I did with my blog. level 2. Learn more. So, add them to your resume. I am glad it helped :) 1. share. This is another one, which isn't mine, that I like: https://github.com/FisherKK/F1sherKK-MyRoadToAI. It is a multidisciplinary field that has its roots in statistics, math and computer science. We are the #1 source of Reddit data, as featured on: CNN WSJ Business Insider Barron's Track Trending Reddit Stocks. Good job mate! Prove them in your bullet points like in this data scientist resume skills example: Collaborated with team members to optimize CRM database for a high-volume real estate firm. I can give you some feedback. It is an opportunity for a professional to create a brand for oneself so that the prospective employer can form an opinion about their data science skills. Also you can implement stats and ML methods from papers - it's surprising how limited some are in Python. data science portfolio reddit, "Y Combinator is the best program for creating top-end entrepreneurs that has ever existed." A portfolio is one way to show people you are that data science unicorn. Guess we've gotta learn Python~, Very useful article.thansk for giving .Here some useful content, New comments cannot be posted and votes cannot be cast, More posts from the datascience community. This is mine! I thought I'd do a little write up since I frequently see people asking about the pros and cons of these kind of programs. The Erlemar portfolio saddens me because it's all Python. Original Poster 2 years ago. 1. Give your resume to friends who aren’t data scientists. I'm trying to beef up my Github/portfolio, but I'm not sure exactly what I should be shooting for. It is about extracting, analyzing, visualizing, managing and storing data to create insights. A place for data science practitioners and professionals to discuss and debate data science career questions. Replicating a research paper. Great examples too! I've already seen the erlemar profile too. Aggregate data from a wide variety of sources, including external APIs. I'm in kind of a similar boat; the Stats dept. Personal project on something you think is fun. Data Science requires the usage of both unstructured and structured data. My Portfolio. Again, the goal here is to prove you can do the work, so the more your portfolio looks like the day-to-day work of the jobs you’re applying for, the more convincing it’s going to be. Data Science Skills: Collaboration, CRM, Database Management, Data Visualization. Data science skills are crucial for today's employers, but listing data science on a resume isn't enough to prove your expertise. Again, the goal here is to prove you can do the work, so the more your portfolio looks like the day-to-day work of the jobs you’re applying for, the more convincing it’s going to be. In 2015, I dropped out of school to teach myself data science using online resources. You want recruiters and employers reach out to you cold to offer you employment opportunities based on your portfolio. Your dream is to have created a portfolio that gets you a job offers without you needing to reach out to employers. Discussion. Your data science portfolio should work for you. So from my point of view, try to submit something original, something that has value to you (i.e. Presented in the form of iPython Notebooks, and R markdown files (published at RPubs). Run online experiments to test new features, designs, and products. But don't stop there. Whereas, a portfolio showcases the collection of samples of your artworks, writings, photos, and activities. This is my data science portfolio where I present some results from some hacks from hackathons and unpublished results from my previous research. Press question mark to learn the rest of the keyboard shortcuts, https://github.com/FisherKK/F1sherKK-MyRoadToAI. Build and deploy advanced statistical models in Python and R. Data Pipelines . Machine Learning. Great article. As someone who has been using this Summer to begin assembling a data science portfolio, I really appreciated the read. Get in touch. The reason is that not only he explains the process, but mainly because the projects are original and you can tell that he does them on his free time just because he likes to dick around with DA, not because he is fishing for job. Was thinking about the very same subject and it's great to hear about expert talking about it. There are also some functions etc. [43] Reddit datasets – Users have posted an eclectic mix of datasets about gun ownership, NYPD crime rates, college student study habits and caffeine concentrations in popular beverages. My favorite projects. Edit: the one from Andrey below is very good example. Data scientists can expect to spend up to 80% of their time cleaning data. Awesome post. Introduction. I would definitely agree with working on stuff that interests you. Post one of your posts here. Dont put exercises. As someone who has been using this Summer to begin assembling a data science portfolio, I really appreciated the read. It is one of the most highly sought after jobs due to the abundance o… It is unlikely you are sitting on ample time spare time, so committing to building your data science portfolio will surely take commitment and sacrifice. But let me emphasize what is important. Posted by 2 years ago. I would say the best things to do would be either a project on your own solving a problem you have or analysis that interests you. That you know how to take in a data set, clean it up, use various techniques to extract useful information from it, and then communicate the results. 2 years ago. they have to be all categorical or all continuous iirc - it looked really complex to do mixed data) even though the theory of Naive Bayes has no such restriction. In my experience, you will only be successful in doing so if you pursue a project for which you have a lot of passion. How do you get a job in data science? Does anyone have links to githubs/portfolios they think are especially good, or other advice on what makes a well-rounded portfolio? So what is useful is actually to have a couple well explained project blog, kernel or markdown that you can directly link to. Marc Andreessen, General Partner, Andreessen Horowitz "I doubt that Stripe would have worked without YC. I really appreciate it! Handwritten digit recognition. Design and deploy Shiny dashboards to visualize and interact with data. Close. The passion doesn’t necessarily have to be obvious either. Go ahead and navigate back to the forked copy on your GitHub Profile. Track Your Portfolio Companies on Reddit Request Demo . Data Science Portfolio. For the longest time, so many of my blog posts and youtube videos didn't get views. A data science portfolio is a pride of ownership of one’s learning of data science skills far more than any data science resume can engender. Data science portfolio by Andrey Lukyanenko. Try to have diversity. Report Save. For a more visually pleasant experience for browsing the portfolio, check out sajalsharma.com Decreased wasted phone and email time by 57%. Great article. May 5, 2017 May 5, 2017 big data, get noticed Leave a comment big data data science get noticed portfolio Examples of Data Scientists’ Portfolios While searching for employment as Data Scientist it is important to show your skills with well prepared portfolio, just as Developers show their github accounts to show their programming skills. Build a data science portfolio that showcases your prowess in a clear and undeniable way. A data science portfolio should consist of 3-5 projects that showcase your job-relevant skills. Thanks for sharing! at my school still primarily teaches in R but there's a pretty clear generational divide between Python (everyone below 40) and R (older profs). Data Science is the study of data. It is an iterative process. They should still able to identify your key credentials, even if they don’t understand all of the terms. I was speaking with some students from Berkeley about my advice in my last post to build a portfolio of data projects. These insights help the companies to make powerful data-driven decisions. Not mine, but I had seen posted here on Reddit and thought it was cool: https://erlemar.github.io/ . Thinknum’s new Reddit Mentions dataset allows equity analysts and portfolio managers to know when one of their portfolio companies is being talked about on Reddit. Data Science and Engineering Consultant. 2. share. Let’s start by modifying the contents on the homepage. A lover of both, Divya Parmar decided to focus on the NFL for his capstone project during Springboard’s Introduction to Data Science course.Divya’s goal: to determine the efficiency of various offensive plays in different tactical situations. I've read on here that things like Kaggle competitions, replicating research, and blog posts where you work through a project and demonstrate skills are helpful vs. just posting schoolwork or book exercises. A place for data science practitioners and professionals to discuss and debate data science career questions. Data Cleaning. No recruiter will ever go through your code. Small projects let you deepen your understanding of analysis methods or learn new techniques. Image Search for Fashion via Deep Autoencoder Abstract. Report Save. The intersection of sports and data is full of opportunities for aspiring data scientists. Dublin, Feb. 10, 2021 (GLOBE NEWSWIRE) -- The "Data Science Impacting the Pharmaceutical Industry Part II: Clinical Trial Applications" report has been added to ResearchAndMarkets.com's offering. Publishing them online builds a portfolio of your work, showing potential employers that you can successfully answer questions with data. 4. share. If you can show that you’re experienced at cleaning data, you’ll immediately be more valuable. It makes it way more fun, so you'll generally put more effort in. I see this as a natural step in the evolution of finance. My Data Science Master’s. If you’re a more experienced Git user, feel free to follow that workflo… I would average less than a view per day for my blog posts. Data Science Stack Exchange This forum for data scientists and machine learning specialists uses a simple Q&A format to connect experts with the people who need their help. A data science portfolio should consist of 3-5 projects that showcase your job-relevant skills. Was thinking about the very same subject and it's great to hear about expert talking about it. Navigate to the _config.yml file. Clear presentation of the algorithm etc. As an example the Naive Bayes implementation in Python is really strict about the data types you have (i.e. Or at least it must not be the maon content. The data science portfolio acts as a very essential tool to crack the interview. Cookies help us deliver our Services. HR team explore on LinkedIn more than on Github for sure. Would go a long way to point people towards those two when they ask the same question about how to get started in data science. R Shiny Apps.

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