Performing Data Analysis with Multiple Tools: Pandas, R and Deedle (F#/C#) 2016

  • 14-15 Jan 2016
  • DoubleTree by Hilton Hotel San Francisco Airport, Burlingame, CA, United States

Description

Topics
  • Mutating data frame objects
  • Organizing information into data frames
  • Data alignment between data frames
  • Indexing data frames
  • Joining data
  • Handling missing data
  • Accessing data from web services
  • Reading and writing data from files and databases
  • Slicing and subsetting data
  • Reshaping of data (ie: pivoting and melting)
  • Deriving aggregate results from data
  • Grouping of data
  • Resampling time series data into other frequencies
  • Handling of time series information
  • Moving and sliding windows statistics
  • Shifting time series data
  • Data visualization
Who should Attend
  • IT VP and Development Managers
  • Data Analysts Wanting to Learn any of the Covered Tools
  • Application / Software Developers and Engineers
  • Application / Software Architects
  • Individuals or organizations interested in data science and how to derive meaning from data

Past Events

Important

Please, check "Performing Data Analysis with Multiple Tools: Pandas, R and Deedle (F#/C#)" official website for possible changes, before making any traveling arrangements

Event Categories

Technology: Data management, Information Technology (IT)

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