Applied Statistics Meetups near Rockville, Maryland - Applied Statistics Meetups

2 Meetup Groups match “Applied Statistics” near Rockville, MD

13.7 miles away in Washington, DC

2,218 Data Scientists

Data Science DC

May 28

Making Data Available with Data Platforms

Tuesday 6:30 PM
at GWU, Funger Hall, Room 108 in Washington, DC

For our May Meetup, we are exceedingly happy to have three experts talk about a key component in any data ecosystem -- the platforms that let you mana… Read more

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Who's attending?

319 attending

Data Science DC is a non-profit professional group that meets monthly to discuss diverse topics in predictive analytics, applied machine learning, statistical modeling, open data, and data visualization. Our members are professionals, students, and others with a deep interest in these fields and related technologies. Meeting topics are varied and range from tutorials on basic concepts and their applications, to success stories from local practitioners, to discussions of tools, new technologies, …

Predictive Analytics, Machine Learning, Applied Statistics, Data Mining, Data Visualization, Open Data, Data Analytics, Data Science
1.3 miles away in Rockville, MD

4 Members

ASQ 509

TBD

ASQ 509 General Meeting

We will be having a General Meeting in September to get the ball rolling. Please stay tuned for time, place, and other details.

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Who's attending?

1 attending

ASQ 509 is the local Washington, DC and Maryland Metro section of the American Society for Quality. The purpose of this group is to build and support a vibrant network of quality professionals and serve as an effective quality resource for the Washington DC and Maryland Metropolitan area. You don't have to be a member of ASQ to join this Meetup. Come out, meet the people, let us help you learn techniques that will help you improve your organization and do your job better.

Quality Management, Biomed/Biotech Quality, Lean Methodology, Quality Assurance, Software & Systems Quality Attributes, Lean Six Sigma, Kanban, Lean Manufacturing, Enterprise Performance Management, Quality Engineering, Software QA and Testing, Software Quality, Applied Statistics, Statistics and data analysis