10 Top Data Science LinkedIn Groups for Practitioners
Solutions Review’s editors have compiled this directory of the top data science LinkedIn groups for practitioners.
LinkedIn is the premier place for professionals to gather, connect with one another, share ideas, and network. According to Business Insider, LinkedIn has more than 500 million members, with 260 million users logging in each month. A whopping 40 percent of monthly active users use LinkedIn on a daily basis. If you’re a data science practitioner, LinkedIn groups are a great place to pick up insights from experts and influencers in the field.
It’s in this light that Solution’s Review’s editors have created a directory of the top data science LinkedIn groups to consider joining if you’re a practitioner. Clicking VISIT GROUP will bring you directly to each group where you can learn more or join.
Advanced Analytics and Data Science
Advanced Analytics and Data Science provides a resource for those who want to learn about and use these capabilities and meet other people involved with predictive analytics, statistics, machine learning and big data. Share your ideas with other professionals and learn how to apply the latest tools and methods to solve your most important business challenges.
Data Science, Big Data, Machine Learning, Artificial Intelligence Professionals | DataScience.US
This group’s purpose is to gather all the data science, big data, machine learning, AI and business intelligence professionals in the United States and abroad to share professional experience and consulting advice. DataScience.US is building the world’s largest data professionals community and showcasing the latest trends in the space.
Research Methods and Data Science
This LinkedIn forum is for researchers, analysts and practitioners to discuss research methodology, data science, research flow management, research process standardization, research automation and augmentation, as well as research competency assessment and certification. This network is specially devoted to discussing how working with AI can improve research.
Big Data|Artificial Intelligence|Machine Learning|Predictive Analytics|Data Mining|Data Science
The purpose of this professional group is to inform and to discuss different topics and tips from user-to-user and to create a global network of people already using – or interested in using analytics. This group deals with Big Data, Data Mining, Statistics, Business Analytics, Predictive Analytics, Prescriptive Analytics, Hadoop, Cloud Analytics, Web Analytics and Text Mining.
This group aims to solve problems and create products for the scientific research community, providing assistance in enabling best practices in research, increasing performance of new applications and data services, and decreasing the effort required in adopting new technologies.
Data Science and Artificial Intelligence
Data Science and Artificial Intelligence features a strong community of members that represent a variety of domains, verticals and industries in the space of big data and analytics. They disseminate their learnings through announcements, group discussions and postings. The group was developed with a vision to be the most active platform for networking, information sharing and education.
KDnuggets Machine Learning, Data Science, Data Mining, Big Data, AI
This is a group for data analytics, data mining, and data science professionals and researchers who are interested in solving real-world problems. As part of the KDnuggets network, the forum is backed by a popular Twitter account and bi-weekly email list. The forum has 18,000 members currently and remains active and engaging, with its users regularly posting some of the most informative content of any of the groups on this list.
Data Mining, Statistics, Big Data, Data Visualization, and Data Science
This is a group for data mining and statistical professionals who wish to expand their network of people and share ideas. Methodological issues are fair game, as well as discussion of software (SAS, R, WEKA, etc), technology (Hadoop, relational databases, etc) conferences, and job postings. Please note that job postings should only be submitted in the Jobs space, while advertising of services should only be submitted in the Promotions space.
Data Warehouse – Big Data – Hadoop – Cloud – Data Science – ETL
This is a group for people to connect with other professionals involved with data warehousing, big data, Hadoop, cloud computing, and data science. It also encompasses other concepts like ETL tools, databases, business intelligence, coding languages like R and Python and MDM. The group openly welcomes job recruiters as well, making it an interesting place for prospects to build their network.
Advanced Analytics, Predictive Modeling & Statistical Analyses Professionals Group
This group’s members are technology professionals with a common foundation of advanced quantitative education and experience in areas of advanced analytics, statistical modeling, data mining and quantitative analyses. Group moderators encourage networking, collaboration and sharing career opportunities.
There you have it, the top 10 LinkedIn groups for data science professionals. Join the discussion!