R-PROGRAMMING ONLINE TRAINING IN HYDERABAD

R PROGRAMMING 

This course will provide a basic introduction to R, and its use in organizing and exploring data. The emphasis is on understanding and working with fundamental R data structures and we will introduce some basic R programming techniques. Once you've completed this course you'll be able to enter, save, retrieve, manipulate, and summarize data using R; you will also have the proper foundation to build your programming skills in R and take advantage of the full power of R.

Course Program:

SESSION 1: Getting Started with R

·         What is statistical programming?

·         The R package

·         Installation of R

·         The R command line

·         Function calls, symbols, and assignment

·         Packages

·         Getting help on R

·         Basic features of R

·         Calculating with R

SESSION 2: Matrices, Array, Lists, and Data Frames

·         Character vectors

·         Operations on the logical vectors

·         Creating the matrices and operations on it

·         Creating the array and operations on it

·         Creating the lists and operations on it

·         Making data frames

·         Working with data frames

SESSION3:Getting Data in and out of R

·         Importing Data into R

·         Exporting Data in R

·         Copy Data from Excel to R

·         Loading and Saving Data with R

·         Importing different types of file formats

Data Manipulation and Exploration:

·         Variable transformations

·         Creating Dummy variables

·         Data set options (Rename, Label)

·         Keep / Drop Columns

·         Identification and Dealing with the Missing data

·         Sorting the data

·         Handling the Duplicates

·         Joining and Merging (Inner,Left,Right and Cross Join)

·         Calculating Descriptive Statistics

·         Summarize numeric variables

·         Summarize factor variables

·         Transpose Data

·         Aggregated functions using Group by

·         dplyr anddatatable packages for the data manipulation

·         Data preparation using the sqldf package

Conditional Statements and Loops:

·         If Else

·         Nested If Else

·         For Loop

·         While Loop

Functions:

·         Character Functions

·         Numeric Functions

·         Apply Function on Rows

·         Converting a factor to integer

·         Indexing Operators in List

Graphical procedures:

·       Pie chart

·       Bar Chart

·       Box plot

·       Scatter plot

·       Multi Scatter plot

·         Word cloud etc.…

·       High-level plotting commands

·       The plot() function

·       Displaying multivariate data

·       Display graphics

·       Arguments to high-level plotting functions Low-level plotting commands

·       Mathematical annotation

·       Hershey vector fonts

·       Interacting with graphics

·       Using graphics parameters

·       Permanent changes: The par() function

·       Temporary changes: Arguments to graphics functions

·       Graphics parameters list

·       Graphical elements

·       Axes and tick marks

·       Figure margins

·       Multiple figure environment

·       Device drivers

·       PostScript diagrams for typeset documents

·       Multiple graphics devices

·       Dynamic graphics

Advanced R and Real time analytics examples:

·      Data extraction from the Twitter

·      Text Data handling

·      Positive and Negative word cloud

·      Required packages for the analytics

·      Sentiment analysis using the real time example

·      R code automation

·      Time series analysis with the real time Telecom data

·      Couple of examples with the time series data

Integration with R

·      Hadoop with R

·      Tableau with R

R-Programming Online Training