“Without big data analytics, companies are blind and deaf wandering out onto the web like deer on a freeway”. These inspiring lines from Mr. Geoffrey Moore who is an American Management Consultant and an Author have never been more true. Big Data has become an integral part of any organization and its importance has been soaring for few years.
Data Science Communities
Data Science is such a thing that requires constant attention and the slightest of deviation is going to make you disconnected from the subject. Hence, it creates a need for data science communities. The techniques and tools are constantly evolving and only online resources can aid data scientists to keep up. The need for a community of experts to support the work of a data scientist has ignited a number of forums and groups. People seek help online. Hence, we are here to help you find the best data science communities to keep you updated.
Kaggle started its community in 2010 by offering machine learning competitions. It later extended its services to a public data platform, a cloud-based workbench for data science, and artificial intelligence education. Kaggle is more of a coding platform, however, it is also considered to be one of the world’s largest data science communities with powerful tools and resources. In addition to that, it has around 3 million active members. Data scientists can find all the code and data they need for their data science work. There are over 50,000 public datasets and 400,000 public notebooks for analysis. Kaggle is a subsidiary of Google LLC. It allows users to find and publish data sets, explore and build models in a web-based data-science environment. In addition to that, it also allows users to work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Stack Overflow is an open community for anyone that codes. This mainly helps data scientists who code, to get the answer for their toughest data science questions and share knowledge with co-workers. Stack Overflow serves 100 million people every month making it one of the 50 most popular websites in the world. In addition to that, it also helps people to collaborate on a single project.
More than the community it’s much like a blog. Data science aspirants come to stay updated about the developments in data science. It is available on a popular platform named Medium. It has new posts about data science that allows viewers in the comments section to engage on that.
IBM Data Science Community offers featured blogs and forums for discussion and collaboration of freshly updated content. It provides access to the latest white papers, webcasts, presentations, and research uniquely for members, by members.
Reddit is a platform for reading on almost any topic with 40 million searches everyday and over 430 million monthly active users. It also has 1.2 million communities or subreddits. These subreddits represent the topic-based groups or community on Reddit that comprises users who want to publish and discuss news or stories with that topic. Data science is one of the famous subreddits that data scientists look for. Therefore, some of the top subreddits that every data scientist should join are r/datascience, r/dataisbeautiful, r/MachineLearning, etc.
Data Science Central provides services starting from Statistics to Analytics, Machine Learning, Artificial Intelligence(AI), and Data Science Central. In addition to that, it is a community experience that includes a rich editorial platform, social interaction, forum-based support it also provides the latest information on technology, tools, trends, and careers.
Dataquest has a data science community that allows access for all its students. There are trained moderators and other learners who help the data science students with their queries. In other words, the community is a go-to resource whenever the data science students are stuck on a mission. Hence when they encounter a platform issue, or if they need advice or feedback on the project, they follow the community.
DrivenData works on projects at the intersection of data science and social impact. In addition, it also works in areas like international development, health, education, research and conservation, and public services. The platform works on giving organizations more access to the capabilities of data science, engage more data scientists with social challenges where their skills can make a difference. Its community has leveraged the luxury for the team to work with 35 organizations across 50 projects.
We, at Ivy Professional School, are committed to providing materials and information related to data science that not only helps data science enthusiasts to learn but also certify themselves in that particular field. For highly qualified learners we have pay later certificate courses. We also have our own blogs where we are continuously trying to keep aspiring enthusiasts updated about the newest developments in data science. If you are such a data science enthusiast looking to enhance your career in the field of data science and analytics then our amazing team is here to help. Give us a call and we would help you get one of the hottest jobs of the century!