About R Online Training
R Online Training programing language is one the foremost powerful tool for computational statistics, visualization and data science. Data scientists and statisticians use R for solving many complex problems in their industry. R is extensively utilized in companies like Bing, Google, Facebook, Twitter and Uber. As R is employed in various domains like Social media companies, Banks, Insurance companies, Car manufacturers, R is one among the foremost sought data analytics skill that’s in high demand. R Programming may be a powerful statistical the programing language which is employed for predictive modeling and other data processing related techniques. R programming are often used for data manipulation, data aggregation, statistical Modelling, Creating charts and plots. R programming is becoming the foremost necessary skill within the field of analytics for its open source credibility.
Prerequisites For Learning R Online Training
- Programming background like C, C++, Python will be an added advantage but not mandatory to learn R, but introductory statistics is a prerequisite.
Terms And Conditions
- We will Provide Supporting to resolve Student practical Issues.
- We will provide server Access and 100% Lab Facility.
- Resume Preparation.
- Interview Questions & Answers.
- We will conduct mock interviews. Student also gets 100% supporting before and after getting job.
- 
R Online Training Course Content- 
Introduction to R- What is R?
- Why R?
- Installing R
- R environment
- How to get help in R
- R console and Editor
 
- 
Understanding R data structure- Variables in R
- Scalars
- Vectors
- Matrices
- List
- Data frames
- Using c, Cbind, Rbind, attach and detach functions in R
- Factors
 
- 
Importing data- Reading Tabular Data files
- Reading CSV files
- Importing data from excel
- Importing data from SAS
- Accessing database
- Saving in R data
- Loading R data objects
- Writing to files
 
- 
Manipulating Data- Selecting rows/observations
- Selecting columns/fields
- Merging data
- Relabelling the column names
- Converting variable types
- Data sorting
- Data aggregation
 
- 
Using functions in R- Commonly used Mathematical Functions
- Commonly used Summary Functions
- Commonly used String Functions
- User-defined functions
- local and global variable
 
- 
R Programming- While loop
- If loop
- For loop
- Arithmetic operations
 
- 
Charts and Plots- Box plot
- Histogram
- Pareto charts
- Pie graph
- Line chart
- Scatterplot
- Developing graphs
 
 
- 
0.00 average based on 0 ratings


