Simply Salford Blog

Top LinkedIn Groups Every Data Scientist Should Join

Posted by Salford Systems on Thu, Jan 14, 2016 @ 08:00 AM

Did you know that the hottest skill on LinkedIn that resulted in hiring is Statistical Analysis and Data Mining? Or that there are one million professional post publishers on LinkedIn?*

LinkedIn is quickly becoming the go-to space for influencers, bloggers, thinkers, and readers, especially in the world of data science. While keeping up with all of the latest buzz in the industry may seem impossible, subscribing to LinkedIn groups lets you read about all of these topics from top minds in the field (or from your average Joe!) at your own leisure. You can control email alerts, contribute to the discussion yourself, peruse job postings, sign up for free webinars, and much more. 

Below are some of the top LinkedIn Groups that we think every Data Scientist should join:

 

1. Advanced Business Analytics, Data Mining and Predictive Modeling

  • Created: September 28, 2007

  • Members: 208,143

  • Owner: Vincent Granville - Pioneering Data Scientist

About the Group: Data science, big data, visualization, business analytics, predictive modeling, data mining, web analytics, six sigma, econometrics, business intelligence, computational finance, quant, operations research, machine learning, data analysis, data warehousing, risk management, cloud computing, text mining, BI.

Group Rules: All posts are reviewed before being approved. Jobs must be posted in the Jobs section, otherwise they will not be approved. Only Jobs posted on www.AnalyticTalent.com will be approved. Free webinar announcements, if approved, will be moved to the Promotions section.

 

2. Data Mining, Statistics, Big Data, Data Visualization, and Data Science

  • Created: July 25, 2008

  • Members: 82,252

  • Owner: Jon Francis - Director of Applied Analytics and Business Strategy at Starbucks

About the Group: This is a group for data mining and statistical professionals who wish to expand our 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.

 

3. Pattern Recognition, Data Mining, Machine Intelligence and Learning

  • Created: October 2, 2008

  • Members: 24,060

  • Owner: Belur V. Dasarathy, Ph.D., FIEE - Information Fusion & Decision System Technologies Consultant

About the Group: The Group is intended for all those interested in the areas of Pattern Recognition, Data Mining, Machine Intelligence and Learning.

Group Rules: DO NOT POST DUPLICATE DISCUSSIONS.

 

4. KDnuggets Analytics, Data Mining, and Data Science 

  • Created: February 4, 2008

  • Members: 13,545

  • Owner: Gregroy Piatetsky-Shapiro - Analytics, Data Mining, Data Science Expert, KDNuggets President

About the Group: A group for Analytics, Data Mining, and Data Science Professionals and Researchers, interested in solving real-world problems - part of KDnuggets network.

Group Rules: Don't Spam. Any job ads should be relevant to Analytics, Data Mining, or Data Science.

 

5. Machine Learning and Data Science

  • Created: February 10, 2012

  • Members: 27,906

  • Owner: Richard Snee - CMO at Pivotal

About the Group: Data Science Central is the industry's online resource for big data practitioners. From Analytics to Data Integration to Visualization, the Data Science Central approach is to provide a community experience that includes a robust editorial platform, social interaction, forum-based technical support, the latest in technology, tools and trends --and industry job opportunities.

Group Rules: All posts are reviewed before being approved. Jobs must be posted in the Jobs section, otherwise they will not be approved. Only Jobs posted on www.AnalyticTalent.com will be approved. Free webinar announcements, if approved, will be moved to the Promotions section.

 

6. Advanced Analytics, Predictive Modeling, & Statistical Analyses Professional Group

  • Created: July 10, 2008

  • Members: 9,966

  • Owner: John Frischenmeyer - VP, Managing Partner

About the Group: 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. Network, collaborate, and find career opportunities. NO RECRUITERS.

 

Let us know, below, how you typically interact with your LinkedIn groups!

*Check out more interesting LinkedIn facts at http://expandedramblings.com/index.php/by-the-numbers-a-few-important-linkedin-stats/.

Topics: data mining