.png){kind=logo}
- Insights
- Cryptocurrencies
- Gadgets
- Stocks
- White Papers
- Reports
- Industry
- Geography
- Insights
- Cryptocurrencies
- Gadgets
- Stocks
- White Papers
- Reports
- Industry
- Geography
Compared to other social networking platforms LinkedIn is the most professional network to gather, connect with each other, and share ideas. LinkedIn groups are a great place to pick up insights from experts and influencers who are data scientists around the world whom you can get connected with. Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. A data scientist requires large amounts of data to develop hypotheses, make inferences, and analyze customer and market trends. So here are the top 10 data science LinkedIn groups to consider joining.
Natural Language Processing People: This group is a job board for professionals in natural language processing, localization, data analysis, and machine learning. It offers information regarding employment opportunities in various areas of the language technology industry worldwide. Its mission is to turn a gap that currently exists in the job market for NLP into a useful tool for both job seekers and potential employers.
Data Scientists: This group aims to solve problems and create products for the scientific research community, providing assistance in enabling best practices in research, increasing the performance of new applications and data services, and decreasing the effort required in adopting new technologies.
Research Methods and Data Science: This group is dedicated to serving researchers, data scientists, and analysts worldwide. This group is for researchers, analysts, and practitioners to discuss research methodology, data science, research flow management, research automation, and augmentation.
Data Science Central: Data Science Central is a niche digital publishing and media company operating the leading and fast-growing Internet community for data science, machine learning, deep learning, big data, predictive, and business analytics practitioners.
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 of career opportunities.
Advanced Analytics and Data Science: This group provides a resource for those who want to learn about and use advanced analytics and data science capabilities. And can meet people involved with predictive analytics, statistics, machine learning, and big data to have discussions and make connections with each other.
Data Science and Artificial Intelligence: This group was started with a vision to educate people who are in the space of analytics and big data. They disseminate their learning 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. 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 Warehouse – Big Data – Hadoop – Cloud – Data Science – ETL: This is a group for people to connect with other professionals involved in data warehousing, big data, Hadoop, cloud computing, and data science. The group openly welcomes job recruiters as well, making it an interesting place for prospects to build their network.
Data Mining, Statistics, Big Data, Data Visualization, AI, Machine Learning, and Data Science: This is a group of data mining and statistical professionals who wish to expand their network of people and share ideas.
Disclaimer: Analytics Insight does not provide financial advice or guidance. Also note that the cryptocurrencies mentioned/listed on the website could potentially be scams, i.e. designed to induce you to invest financial resources that may be lost forever and not be recoverable once investments are made. You are responsible for conducting your own research (DYOR) before making any investments. Read more here.
