Become a Programmer
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Training Features: Classroom and Online Training | Online class video access | Projects | Resume Preparations | Mock-Interview by Industry Experts
R-Programming Course Overview
R is a programming language and free software environment for statistical computing and graphics supported by the R Core Team and the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, data mining surveys, and studies of scholarly literature databases show substantial increases in R's popularity; since August 2021, R ranks 14th in the TIOBE index, a measure of popularity of programming languages.
R-Programming Certification Key Features
52hours of interactive session
Hands-on coding & Implementation of 4 web based applications
30 hours of instructor-led training
20+ assisted practices on all modules
5 lesson-end knowledge checks and 1 real-life course-end project
R-Programming Certification Training
Object Oriented Programming (OOP) is a popular programming language. Using its concepts, we can construct the modular pieces of code that can be used to build blocks for large systems. R is a functional language. Object Oriented Programming in R is a superb tool to manage complexity in larger programs
Introduction to R Programming - Environment and Capabilities
- Introduction to R
- Requirements & Features
-
Comparison with other conventional Programming languages and Statistical Analytics Tools
- R vs Excel
- R vs SPSS
- R vs SAS
- R vs STATA
- R vs Java & other programming Languages
- R vs Python
- Software Download and Installation,
- Setting up the Environment
- Getting into Programming
Basic Building Blocks of R
- Constants,
- Variables,
- Data-types,
- Operators,
- Control Structures,
- Functions,
- Concepts of Objects,
- R Data Structures
Mandatory Statistics
- Concepts of Descriptive Statistics (Frequency Distribution, Mean, Median, Mode, Range, Quartiles, Variance, Standard Deviation, Mean Deviation),
- Bivariate Analysis (Correlation & Regression)
Transforming data to information
- Importing Data from different data sources (Excel (xls, xlsx, csv), SPSS, SAS, etc)
- Cleaning of Data,
-
Exploratory Analysis
- Missing Value Treatment,
- Treating Duplicates,
- Dealing with Outliers and extreme values,
- Standardization
Developing Statistical Key Insights with R:
-
Application of R Methods for Statistical calculation
- Measures of Central Tendency (Mean, Median, Mode),
- Measures of Dispersion (Range, Quartiles, Variance, Standard Deviation),
- Measures of Shape (Skewness, Kurtosis),
- Bivariate Analysis (Finding Strength between two variables through Correlation)
Data Visualization through R:
- Plotting graphs, charts, maps through the different R Visualization packages.
- Interpretation of results.
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R-Programming Exam & Certification
What do i need to do to unlock my silan Certificate?
Onlie Classroom:
- Attend one complete batch of the R-Programming Training Course
- Successful completion and evaluation of any one of the given projects
Online Self-learning:
- Complete 85% of the R-Programming Certification course
- Successful completion and evaluation of any one of the given projects
Do you provide any practice tests as a part of this R-Programming course ?
Yes, we provide 1 practice test as part of our R-Programming Training course to help you prepare for the actual certification exam.
Our Courses Reviews
EARTHKANTI RAY
Student
I appreciate all python classes of SILAN SOFTWARE. Python programming language is another software besides R and SPSS which helps me to make it out in analysis of my health research data. But for medical analysis I will recomend 1st choice SPSS.
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Student
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AK GAMING
Student
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Student
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VIBHU VIBES
Student
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R-Programming Certification FAQs
Why Learn R-Programming?
R plays a very important role in Data Science, you will be benefited with following operations in R. You can run your code without any compiler – R is an interpreted language. R is powerfull and faster than other language.
Mention the key features of R-Programming?
Key Features are;
Open-source.
Strong Graphical Capabilities.
Highly Active Community.
A Wide Selection of Packages.
Comprehensive Environment.
Can Perform Complex Statistical Calculations.
Distributed Computing.
Running Code Without a Compiler. and many more
How do I became a R-Programmer?
The principal qualifications for any R programmer job are knowledge of the R language and experience in the field in which you want to work. Similar to a web developer, you need expert coding skills and, preferably, fluency in one or more scripting languages, like Python.
Who delivers the R-Programming Trainig?
Many courses are available in the market for R-Programming Trainig, offered both in offline and online mode. However, SILAN SOFTWARE's R-Programming Trainig is a comprehensive 2-month course covering all the aspects of Data Science Masters ProgramR-Programming Language.
Who should take this R-Programming Certification Course?
Anyone should take this certification course with a diploma or any degree holder.
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