About The Course:-
R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.
Who Should Take this?
This course is ideal for engineers, scientists, researchers, and business analysts.
After completing the course, students will be able to learn and understand
- Big Data concepts, characteristics, use cases and significance of R in Big Data Analytics.
- Advanced Analytics, Data Mining, and Data Visualization tools
Big Data Concepts
use cases and significance of R in Advanced Analytic
Data Visualization tools ( Endeca, Tableau)
Introduction to R
Writing and running simple example R programs
Generating graphical results.
Reading in data from the keyboard and external sources
Data structures for storing data:
Basic R language elements
Numeric and character functions
Control flow: branching and looping
Using and writing R functions
Calling package-installed functions
Writing and calling programmer-defined functions
Basic Statistical Modeling
analysis of variance
advanced graphing: annotating graphs, scatter plots and line charts
survey of sample intermediate statistical and machine learning techniques:
Generalized linear models, regression and classification tree models.