Mode Of Examination
Number Of Question: 100 (1 Marks Each)
Total Time: 120 Min
History, Overview and Getting Started:
The basics and history of R-Programming language, R programming installation and configuration and console input and evaluation.
Nuts and Bolts and Getting Data In and Out:
data types and dataset reading in R-Programming.
R – Data Storage, Formats, Objects and Operations:
Text data formats, connecting interfaces, basics of dplyr, vector operations and subsets.
Control Structures, Functions, Scoping Rules, Loop Functions and Debugging:
Control statements, date and time, functions, loops and scoping rules.
Profiling, Simulation and Data Analysis:
Basics of simulation, ggplot, r-profiler, wrangling of data and exploratory data analysis.
Commands, Packages, Visualizing Data and Linear Regression:
Commands and packages, data visualization and linear regression and predictive analysis.
Distributions, Graphics & Neural Networks:
Distribution, R programming graphics and neural networks.
- Diploma in R Programming (Online Certification Courses) 02:00:00