LinkedIn has become the go to place to professionals to seek job, connect with their peers and to share their viewpoints on a particular topic. In this article, we take a look at some of the most popular LinkedIn groups that are dedicated to the field of data science and big data that working professionals, students and those interested in the topic could be a part of
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Number of members: 353,934
Purpose: The group was founded in 2012 and seen as one of the biggest groups in the platform dedicated exclusively for the discussion, exchanging ideas and providing feedback on matters related to big data and analytics
Who can join: To people related to the industry
Topics discussed: Artificial intelligence, machine learning, blockchain are some of the topics discussed in the group.
Number of members: 251, 776
Purpose: The group aims to bring together stakeholder communities across industry, enterprises, academic, and government sectors with interests in big data and visualization techniques, technologies, and its applications
Who can join: Hadoop developers, data scientists, business analysts, statisticians and hackers, CIO, CMO, CDO etc
Topics discussed: Hadoop, data warehousing, cloud, unified data architectures, digital marketing, visualization and business intelligence.
Number of members: 229,336
Purpose: The group covers the broad area of data analytics and intelligence for businesses.
Who can join: Open group
Topics discussed: Tools, frameworks, white papers, industry news & best practices in data analytics & intelligence for businesses.
Number of members: 180,572
Purpose:This is a group for data mining and statistical professionals who wish to expand our network of people and share ideas.
Who can join: Data mining and statistical professionals
Topics Discussed: Methodological issues are fair game, as well as discussion of software (SAS, R, WEKA, etc), technology (Hadoop, relational databases, etc) conferences, and job postings
Number of members: 73,051
Purpose: The group promotes discussion around big data, NoSql and cloud computing etc, among like-minded industry professionals and encourage them to share information, ideas and best practice.
Who can join: Industry professionals
Topics Discussed: Big data analytics, BI, SAS, big data Hadoop, big data MapReduce, YARN, PIG, Hive, HQL, Oozie, Sqoop, Flume, Kafka, Spark, Big Data NoSQL, HBase, Casandra, MongoDB, HUE, Pentaho, Teradata, BigTable etc
Number of members: 63,366
Purpose: The group aims to solve problems and create products that are valued within the scientific research community.
Who can join: Data Scientists
Topics Discussed: Enabling best practice in scientific research, providing an interface between scientific analysis and technology, increasing performance of new applications and data services and decreasing the effort required by researchers in adopting new applications and data services.
Number of members:47,704
Purpose: This group is managed by Bruce Weed, IBM’s Programme Director for Enterprise, startups and developers. The group encourages discussions on big data and how IBM’s big data platform can handle customer’s big data needs.
Who can join: Customers, business partners, VCs, et al.
Topics discussed: IBM Platforms and other products and how they can best handle their database
Number of members: 30,271
Purpose: This LinkedIn forum serve as a platform for those interested in next generation research methods and data science, and related software tools especially open source ones and AI driven ones. The group also strives to help each other to improve their research quality, predictive accuracy and research efficiency.
Who can join: Researchers, analysts and practitioners
Topics discussed: research methodology, data science, research flow management, research process standardization, research automation and augmentation, as well as research competency assessment and certification.
Number of members: 25,338 members
Purpose: Data Science and Artificial Intelligence group was started with a vision to be the most active platform for networking, knowledge sharing and educate people who are excited to be a part of this rapidly growing industry.
Who can join: Open Group
Topics Discussed: Domains, verticals and industries in the space of analytics and big dat
Number of members: 11, 188
Purpose: The group is facilitated by IBM and its mission of the group is to provide the requisite resources for people who are interested in the field to advance their knowledge in the subjects.
Who can join: Anyone who want to increase their knowledge in the field of data science and big data can join the group. The existing members include BM Data Science Experience, SPSS Statistics, SPSS Modeler, Cognos Analytics, SAS, R, rstats, Python, Apache Spark, Microsoft, IBM, data warehouse etc.
Topics discussed: The group aims to serve as a platform for data science and big data enthusiasts and practitioners to meet people involved with predictive analytics, statistics, machine learning, decision optimization, real-time analytics and big data to have discussions and make connections