that Radiohead songs analysis). For this example, we’ll just make the edits directly from GitHub. Navigate to the _config.yml file. Great article. 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. Was thinking about the very same subject and it's great to hear about expert talking about it. Learn how to highlight your knowledge in a way that will inform, impress, and help you get the job. It is an iterative process. 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. 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. These insights help the companies to make powerful data-driven decisions. Decreased wasted phone and email time by 57%. 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. It is about extracting, analyzing, visualizing, managing and storing data to create insights. Learn more. I learned and improved them over time. A place for data science practitioners and professionals to discuss and debate data science career questions. level 2. Treat it like a ELI5. Posted by 2 years ago. What does a good Github/portfolio for Data Science look like? 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 . Not a Real Data Science Degree. This is a huge pain point. 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. We can go through courses, pour through books, or sift through articles. But let me emphasize what is important. So from my point of view, try to submit something original, something that has value to you (i.e. We are living in the midst of an unprecedented lockdown as governments around the world scramble to get a grip on the prevalent situation. HR team explore on LinkedIn more than on Github for sure. I'll start putting up some personal projects asap, and make sure my presentation is excellent. But, I'm not sure exactly what that should look like. 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 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. Kaggle competitions. Repository containing portfolio of data science projects completed by me for academic, self learning, and hobby purposes. I really appreciate it! Whereas, a portfolio showcases the collection of samples of your artworks, writings, photos, and activities. Press question mark to learn the rest of the keyboard shortcuts. I would like to think that if I would be an HR I would definitely hire this guy www.rcharlie.com. [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. Go ahead and navigate back to the forked copy on your GitHub Profile. Aggregate data from a wide variety of sources, including external APIs. A place for data science practitioners and professionals to discuss and debate data science career questions. What does a good Github/portfolio for Data Science look like? This portfolio is a compilation of notebooks which I created for data analysis or for exploration of machine learning algorithms. data science portfolio reddit, "Y Combinator is the best program for creating top-end entrepreneurs that has ever existed." Design and deploy Shiny dashboards to visualize and interact with data. We are the #1 source of Reddit data, as featured on: CNN WSJ Business Insider Barron's Track Trending Reddit Stocks. Data Science requires the usage of both unstructured and structured data. As someone who has been using this Summer to begin assembling a data science portfolio, I really appreciated the read. A resume is a brief summary of your life, skills, talents, and experiences in recent years which is usually 1-2 pages long. I see this as a natural step in the evolution of finance. At Data Science Central, you can find a forum dedicated to data science, helpful resources and tutorials, networking events, and industry job opportunities. I've read on here that things like Kaggle competitions, replicating research, and blog posts where … I've already seen the erlemar profile too. 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. Image Search for Fashion via Deep Autoencoder Abstract. Introduction. You want to create a data science portfolio to showcase you can “do” data science. Press J to jump to the feed. 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. Data Science Portfolio. Post one of your posts here. This is mine! It makes it way more fun, so you'll generally put more effort in. My favorite projects. 128. Or at least it must not be the maon content. Publishing them online builds a portfolio of your work, showing potential employers that you can successfully answer questions with data. Good job mate! So, add them to your resume. 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. [44] Data Science Central has also curated many datasets for … Track Your Portfolio Companies on Reddit Request Demo . In my experience, you will only be successful in doing so if you pursue a project for which you have a lot of passion. 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. However, after studying data science for some time, I am convinced that it will bring profound change to our profession. You'd love the portfolio to increase your name recognition in the field you want to move into. I'm trying to beef up my Github/portfolio, but I'm not sure exactly what I should be shooting for. Report Save. Build and deploy advanced statistical models in Python and R. Data Pipelines . Discussion. Clear presentation of the algorithm etc. Knowing enough statistics, machine learning, programming, etc t o be able to get a job is difficult. 2. share. This is another one, which isn't mine, that I like: https://github.com/FisherKK/F1sherKK-MyRoadToAI. Cookies help us deliver our Services. Try to have diversity. Not mine, but I had seen posted here on Reddit and thought it was cool: https://erlemar.github.io/ . Agreed. Data Science is the study of data. My Data Science Master’s. 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). Was thinking about the very same subject and it's great to hear about expert talking about it. Presented in the form of iPython Notebooks, and R markdown files (published at RPubs). 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. So what is useful is actually to have a couple well explained project blog, kernel or markdown that you can directly link to. level 1. Edit: the one from Andrey below is very good example. Thanks for sharing! Press J to jump to the feed. People often get confused between a resume and a portfolio. I would definitely agree with working on stuff that interests you. 2 years ago. available in R that have not yet been ported. If you’re a more experienced Git user, feel free to follow that workflo… I'm in kind of a similar boat; the Stats dept. Great article. Join the community waitlist. My 2021 recommendations for learning data science online. A/B Testing. A data science portfolio should consist of 3-5 projects that showcase your job-relevant skills. Data scientists can expect to spend up to 80% of their time cleaning data. I was speaking with some students from Berkeley about my advice in my last post to build a portfolio of data projects. 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. R Shiny Apps. If you can show that you’re experienced at cleaning data, you’ll immediately be more valuable. The passion doesn’t necessarily have to be obvious either. And finally a toolkit that you may have developped. Also you can implement stats and ML methods from papers - it's surprising how limited some are in Python. Personal project on something you think is fun. In 2015, I dropped out of school to teach myself data science using online resources. A data science portfolio should consist of 3-5 projects that showcase your job-relevant skills. 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). 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. They should still able to identify your key credentials, even if they don’t understand all of the terms. Introduction. Let’s start by modifying the contents on the homepage. 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. This is the config file for changing the settings to your site. Your dream is to have created a portfolio that gets you a job offers without you needing to reach out to employers.