This course introduces you to advanced concepts of R programming , which will help you to develop robust, powerful and optimized software.
Topics include data manipulation using packages such as dplyr, data.table, reshape2 and others, which are very handy in terms of underlying syntax, logic and also powerful and efficient in terms of their computation. The course will cover concepts of parallel processing and strategies to optimize your code in terms of speed, exception handling, debugging and object oriented programming. Taught by experts in data science field, with the mixture of theory and practical, you will be really amazed not only by the quality of teaching but also by the ease with which you will master these concepts. |
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Content
Quick recap
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High performance computing
Strategies to Speedup R code Object-Oriented Programming concept
Exception Handling Environments Debugging |
Duration
Extra Benefits |
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Course Fees
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Inspired By
- Bioconductor
- R
- http://r-statistics.co/
- tidyverse
- data.table