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R Programming Training in Bangalore

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  • Date Posted

    January 30, 2017

R Programming Training in Bangalore

Learn how to use R Programming from beginner level to advanced techniques which is taught by experienced working professionals. With our R Programming Training in Bangalore you’ll learn concepts in expert level with practical manner.

What is R Programming?

R Programming is a powerful statistical programming language which is used for predictive modelling and other data mining related techniques. R programming can be used for data manipulation,data aggregation,statistical Modelling,Creating charts and plots. R programming is becoming the most sought after skill in the field of analytics for its open source credibility. It is a simple programming language which requires no pre-requisites unlike other programming languages. There are many spectacular packages available in R that will help in a brief data analysis. R can also be collaborated with other data management tools like excel, access, Oracle, sql server which makes it a powerful tool.

Why R Programming?

R programming along with a substantial knowledge of statistics can help candidates to have a great career in data Analytics. R is also an widely used tool in many big firms like top Banks, IT, Retail, Healthcare, Pharma, Supply chain and logistics firms. Analyzing large datasets can be done in a shorter period with the help of R programming. There is a huge shortage in the market for professionals with skills in R programming which makes it more interesting to pursue. Since R is a free software it is being widely used which creates a lot of opportunities for professional who are looking to pursue a career in R Programming.

What we do at TIB Academy for R Programming?

In order to become a successful professional in the field of analytics real time applications should be studied in detail. Hands on Experience with the combination of statistical concepts will be provided by only experts who are dealing with real scenarios in R programming on a daily basis in their respective industry

  • Scatterplot
  • Developing graphs

R Programming Training Syllabus:

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
• Vectors
• Matrices
• List
• Data frames
• Using Cbind, Rbind, attach and detach functions in R

Importing data

• Reading Tabular Data files
• Reading CSV files
• Importing data from excel
• Access database
• Saving in R data
• Loading R data objects
• Writing to files

Manipulating Data

• Selecting rows/observations
• Selecting columns/fields
• Merging data
• Relabeling 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
• Pie graph
• Line chart
• Scatter plot

Statistics with R

• Descriptive Statistics
• Inferential Statistics

Supervised Machine Learning

• Linear Regression
• Logistic Regression

Unsupervised Machine Learning

• Decision Tree
• Random Forest

Classification Algorithm

• Clustering
• PCA analysis
• Association Rule(Market Basket Analysis)

Text Analytics

• Sentiment Analysis

Advanced R

• R-shiny Web application

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