Seminars

Seminars - In person

While Statistics.com does not provide in-person training, we do acknowledge the benefit of in-person training and can recommend:

Statistical Horizons
Statistical Horizons provides public, two-day and five-day seminars that cover a wide range of topics in statistics, from introductory statistics (using R) to advanced topics like multilevel modeling. Many seminars are on topics that are often not included in graduate curricula, like missing data and propensity score methods. The seminars are designed to help busy professionals who want to learn the latest statistical methods in an efficient, effective and affordable way. Statistical Horizons has established a reputation for providing outstanding training in statistics for researchers working in academia, business, non-profit organizations, and government. The majority of seminars are held in downtown Philadelphia but courses are also held in New York, Boston, Chicago, Los Angeles, Miami, and Washington, DC.
 
District Data Lab (DDL)
DDL offers hands-on, in-person workshops that range from half a day to a full day.  Topics include:
  • R Statistical Programming Basics
  • Python for Data Analysis
  • Intro to Big Data with Hadoop
  • Building Data Applications with Python
  • Social Network Analysis with Python
  • Natural Language Analysis with Python's NLTK
  • High Performance Computing with R

Metis
Metis accelerates the careers of data scientists by providing full-time immersive bootcamps, evening professional development courses, online resources, and corporate programs. Courses are taught by expert data science practitioners, integrating project based learning with real data sets. Metis is located in New York City, San Francisco, Chicago and Seattle and offers the following courses:

 

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