Data scientists must gather the advantages of the predictive analytics workflow to evaluate the procedures and algorithms. Only online resources can help data scientists keep up with the rate at which data science approaches and technologies are developing.
Nevertheless, conventional techniques like reading books and journals provide a broad grasp of core concepts useful to data scientists. Several online forums and communities where people ask for help have sprung up due to the necessity for an expert community to support the work of a data scientist. Before moving onto the popular data science communities, do explore the online data science course in Bangalore if you are planning your data scientist's career from scratch.
Data Science Communities
Kaggle
Kaggle features many tools and resources and is one of the largest data science communities in the world. Three million individuals actively engage in the community. Data scientists can locate all the code and information they want for their task.
They can quickly complete any study using over 50,000 accessible datasets and 400,000 public notebooks. On Kaggle, a part of Google LLC, users can look for and submit data sets, explore and develop models in a web-based data science environment, engage with other data scientists and ML experts, and participate in contests to address data science issues.
Machine learning competitions were how Kaggle launched its community in 2010. Later, it expanded its offerings to include a public data platform, a cloud-based data science workbench, and artificial intelligence training.
IBM Data Community
A steady stream of newly updated information, including highlighted blogs and forums for conversation and collaboration, is available on the IBM Data Science Community. The group gives members exclusive access to the most recent white papers, webcasts, presentations, and research.
Reddit features 1.2 million communities, 430 million subreddits, 40 million daily searches, and over 430 million monthly active users. These subreddits stand in for the community or subject-based groups on Reddit made up of individuals who wish to post and debate news or articles related to that topic.
Data science is one of the popular subreddits that data scientists look for. Every data scientist should join some significant subreddits, such as r/data science, r/dataisbeautiful, r/MachineLearning, etc.
Open Data Science
The Open Data Science community brings together researchers, engineers, and developers from all around the world to talk about data science and related subjects. In addition to organizing events and teaching sessions, it develops data science initiatives. Local data scientists share their expertise to aid other aspiring data scientists develop their skills.
Data Science Central
The online resource for data practitioners in the business is called Data Science Central. It offers services from statistics to analytics, machine learning, artificial intelligence (AI), and data science central.
The community experience provided by the platform comprises a comprehensive editorial platform, social engagement, forum-based assistance, and the most recent information on technology, tools, trends, and professions.
Data Community (DC)
A non-profit organization called Data Community DC is dedicated to bringing together and promoting the work of data professionals by fostering education, opportunity, and professional growth through top-notch, neighborhood-driven events, tools, products, and services.
Data Community DC, often known as DC2, includes six meetup groups with more than 5000 unique participants, a board of 12 individuals, a blog, sporadic workshops, and future plans for larger events.
Stack Overflow
Anybody who programs may join the open community at Stack Overflow. This mostly assists data scientists who code to find solutions to their most challenging data science challenges and share information with others. With 100 million users a month, Slack Overflow is one of the world's top 50 most popular websites.
Dataquest
All of Dataquest's students have access to its data science community. Students studying data science receive assistance from other learners and trained moderators with their questions. The community is a go-to resource for data science students who want help, encounter platform issues, have inquiries, or desire comments on their work.
Data Science Society
The international digital society is known as the Data Science Society. The platform has been having fun while digitally establishing a solid core of users around a corpus of data science expertise. The data science Society has so far hosted a number of international datathons and meetings with participants from more than 20 nations.
DrivenData
DrivenData focuses on initiatives that combine data science and social impact in fields including public services, health, education, and international development. The platform aims to provide enterprises access to data science capabilities and involve more data scientists in societal concerns where their expertise might be useful. The team has had the opportunity to collaborate with 35 companies on 50 projects thanks to the DrivenData community.
Conclusion
I hope this article on popular online communities will be helpful for you as a data scientist to share your thoughts and clear doubts with other fellow data scientists. I have listed only a few data science communities, but there are many others where data scientists can share their knowledge. For now, you can sign up for the best data science course in Pune, and start developing your data knowledge to get certified by IBM.
