Performing Data Analysis with Multiple Tools: Pandas, R and Deedle (F#/C#) 2015 is a seminar that covers topics such as:
- 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
Performing Data Analysis with Multiple Tools: Pandas, R and Deedle (F#/C#) 2015 brings together:
- 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