7 data competitions for data scientists and analysts Iron Viz. They help accelerate the work of data scientists producing and curating content into the following pages and channels: Data Science, Code, Machine learning, Practical Techniques, Leaders at work, Model Management & Engineering. - stage 1 As normal competitions, we ask you to create a model and submit a prediction result for test data (data A) from the start of the competition to the end date of stage 1. mlcontests.com. Their goal is to present well-written, informative articles that our audience is excited to read. Their goal is to become a complete portal serving all knowledge and career needs of Data Science Professionals. If there is one sentence, which summarizes the essence of learning data science, it is this: If you are a beginner, you improve tremendously with each new project you undertake. Introduction: TDS Team is an international team of 15 people who work on the content that gets released on Towards Data Science. The Data Science track contains three types of challenges. If you want to break into competitive data science, then this course is for you! MM. Data Science Central is the industry's online resource for data practitioners. TopCoder is one of the most popular platforms for online programming competitions. TunedIT started as a scientific doctoral project carried at the University of Warsaw. As long as you can do what companies want you to do — proffer valuable insight from data and help them grow their business and make decisions — you are a data scientist. Accessible Even when data is stored and preserved, this does not necessarily mean it is automatically accessible. See also Government, State, City, Local, public data sites and portals Data APIs, Hubs, Marketplaces, Platforms, and Search Engines. The list of alternatives was updated Mar 2020. Best qualities: This platform is especially great as experts and data scientists working in the field can talk about their experience and share their work-life with beginners and DS enthusiasts. Yes, you heard me. By now, Kaggle has hosted hundreds of competitions, and played a significant role in promoting Data Science and Machine learning. Codalab. No Free Hunch, the official blog of Kaggle, has lots of fascinating interviews of Kaggle competition winners, tutorials and data science news. With 121 submissions from around the world, this year´s edition attracted the largest participation in the competition’s history. An algorithm is essentially a tool and anybody can use it by writing just a few lines of code. They offer information, insights, and opportunities to drive innovation with emerging technologies. MM. Best read: What Machine Learning needs from Hardware. Ten champions representing the 10 ASEAN Countries have presented their innovative data analytics proposals at ADSE Regional Finals 2020. If you want to break into competitive data science, then this course is for you! Best qualities: Nature has high-quality articles by top-notch researches and experts. Best qualities: Kaggle Learn and competition are some of the best platforms in Machine Learning and Data Science. Best read: 6 Challenging Open Source Data Science Projects to Make you a Better Data Scientist. This is the blog of the data science website Kaggle, which hosts data science projects and competitions that challenges data scientists to produce the best models for featured data sets. Open Data Science. The field of Data Science is constantly growing, enabling businesses to become more data-driven with better insights and knowledge. If you are an experienced data science professional, you already know what I am talking about. (3)"Host" is the host(s) of the Competitions. Best qualities: The blog is clean and nice to read. The data scientists submit their predictions in exchange for the potential to earn some Numeraire, a cryptographic token on the Ethereum blockchain. Data science jobs in innovative industries like information technology can take twice as long to fill than the national benchmark average for B.A.+ jobs of 45 days. Analytics Vidhya provides a community-based knowledge portal for Analytics and Data Science professionals. Introduction: Revolution is a round-up of news about Artificial Intelligence, Machine Learning, and Data Science. Both researchers and machines may want to access the data, for example, for meta-analyses or other kinds of re-use. Organizations can post their data problems with a prize amount and data professionals will enter to solve it. Our Data Science Learning Platform. However, when I give this advice to people, they usually ask something in return – Where can I get datasets for practice? Introduction: The creator of this blog — Ryan Swanstrom, is a thought-leader in big data and listed as one of the most influential people on the internet for data science. Web Scraping 5k race results with Python and BeautifulSoup. Zindi hosts an entire data science ecosystem of scientists, engineers, academics, companies, NGOs, governments, and institutions focused on solving Africa’s most pressing problems. Crowd AnalytiX. Marathon Match Develop extreme value outcomes for large scale algorithmic challenges, focus in on optimizations, prediction, computer vision/pattern recognition, and bioinformatics. In these interviews, winners talk about their approach to solve a particular data science problem. Kaggle is a platform for data science competitions. You can either join a competition or host one of your own. This is an opportunity to dive into the subject area and understand how the business task is translated into the language of applied mathematics. Functionality: AV is suitable for those looking for a platform to compete in hackathons and to practice their DS skills. Most of us ( Data science learners) already aware of it . Getting exposed to state of the art approaches and datasets. Marathon Match Develop extreme value outcomes for large scale algorithmic challenges, focus in on optimizations, prediction, computer vision/pattern recognition, and bioinformatics. In his blog, he gives you a sneak peek into online data analysts’ best practices. Functionality: For reading and catching up on the latest news. BuzzFeed started as a purveyor of low-quality articles, but has since evolved and now writes some investigative pieces, like “The court that rules the world” and “The short life of Deonte Hoard”.. BuzzFeed makes the data sets used in its articles available on Github. Zindi hosts a community of data scientists dedicated to solving the continent's most pressing problems through machine learning and artificial intelligence. Note: The goal is to train an algorithm to replace many monitoring systems which are too intrusive and too expensive.This challenge is known as NILM (Nonintrusive load monitoring) or NIALM (Nonintrusive appliance load monitoring). Developing a solution is incredibly rewarding and an unparalleled mental workout. DataScience.net. Data Science Society (a volunteer organization) develops a friendly environment where data enthusiasts are able to learn, share and experiment with real data cases within our global family. Best read: Getting Started with Machine Learning. KDNuggets– I do not think , I need to introduce this website to you . So it’s preferred that you are an R user. The code format is simple and tricky at the same time, so a lot of patience is required to learn it. What do you do after you have completed hundreds of MOOCs, consumed thousands of books and notes and listened to a million people rant about their experience in Data Science? Best read: Winning the Netflix Prize: A Summary. Cd. You don’t need a college degree in Computer Science or a Ph.D. in Deep Learning to be qualified as a data scientist. Introduction: Datafloq is the one-stop source for big data, blockchain, and artificial intelligence. Typically, a screen presents a new data science concept on the left side, and challenges you to apply that concept by writing code on the right.. Before moving to the next screen, you submit your answer and get immediate feedback on the code … The prize is an added bonus but shouldn’t be the sole criteria. The fourth edition of the annual EU open data competition, EU Datathon, culminated in the online final event on 15 October 2020. He runs the blog and is great at explaining AI, stats, data science, human computation in his way. Functionality: Google AI blog is for AI experts to keep up with everything new about Google AI. Whether you’re a professional working in the field of data science or a student, take a look at these Top 20 Data Science Blogs that are frequently updated and with the highest number of followers.Never miss any developments in Data Science. The data science challenge platform crowdAI hosts multiple open data science challenges each year. The site has a section dedicated to Sample Projects which provides information about some of their successful projects in the form of a case study. Content is from contributor, but edited by Gregory Piatetsky-Shapiro and Matthew Mayo, and ranges between tutorials to opinion pieces and everything inbetween. Codalab is is an open-source web-based platform that enables researchers, developers, and data scientists to collaborate, with the goal of advancing research fields where machine learning and advanced computation is used. From Statistics to Analytics to Machine Learning to AI, Data Science Central provides a community experience that includes a rich editorial platform, social interaction, forum-based support, plus the latest information on technology, tools, trends, and careers. For example, a team including the Turing award winner Geoffrey Hinton, won first place in 2012 in a competition hosted by Data Science Central is the industry's online resource for data practitioners. Best read: What Data Scientists Do And How To Work With Them. data-analysis competition. The platform also hosts a community blog that has great resources including interviews and reference materials. Make learning your daily ritual. Idea site. Best read: Top Companies to work for if you are a data scientist. Google Dataset Search Data repositories Anacode Chinese Web Datastore: a collection of crawled Chinese news and blogs in JSON format. This is the list of SIGNATE competition. These are courses with a more specialized approach, and don’t cover the whole data science process, but they are still the top choices for that topic. Thus, the key to becoming one is with the equation: Passion + knowledge + portfolio + luck + connections = a job in data science. Kaggle is the world's largest online data science competition community. Discover ongoing machine learning competitions/data science contests across Kaggle, DrivenData, AICrowd, and other platforms. KDD-2019 will take place in Anchorage, Alaska, the US from August 4–8, 2019. Showcasing your talent to the world and a chance of getting recruited. Data science is a practical application of machine learning with a complete focus on solving real-world problems. Active. Type: Blog, Courses, Hackathons, Bootcamp(paid). The Data Science Nigeria 2019 Inter-Campus Machine Learning (ML) Competition is a program designed to raise a generation of data scientists and Artificial Intelligence experts from all Nigerian Universities and Polytechnics. We would be remiss if we didn’t include Kaggle in a list of data competitions. Here Solvers contribute towards tackling some of the world’s most pressing problems, from facilitating access to clean water at a household level to passive solar devices designed to attract & kill malaria-carrying mosquitos. This is the blog of the data science website Kaggle, which hosts data science projects and competitions that challenges data scientists to produce the best models for featured data sets. It’s all open source and community maintained. Helpful participants receive points that help them stand out on a leaderboard of data science competitors – the more participation in the community, the greater your visibility, and the more invitations you will receive to … Functionality: A top-down approach that focuses on working through a dataset end-to-end and getting a result with popular platforms like Scikit-learn, R and Keras. Machine Learning Contests is a data science competition aggregator site. Best qualities: AV has learning paths that provide clear directions for an end-to-end journey on various tools and techniques and competitions. Of course, the real-life problems are not necessarily the same as the ones provided in the competitions, still, these platforms enable you to apply your knowledge to processes and see how you fare in comparison to others. Rewarding and an unparalleled mental workout fulfill their expectations for their work and their potential s greatest challenges of... 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