Best R Programming training in Noida | R Programming Training Institute in Noida

APTRON Noida provides best r programming training in noida based on current industry standards that helps attendees to secure placements in their dream jobs at MNCs. APTRON Provides Best R Programming Training in Noida. APTRON is one of the most credible R Programming training institutes in Noida offering hands on practical knowledge and full job assistance with basic as well as advanced level R Programming training courses. At APTRON R Programming training in noida is conducted by subject specialist corporate professionals with 7+ years of experience in managing real-time R Programming projects. APTRON implements a blend of academic learning and practical sessions to give the student optimum exposure that aids in the transformation of naïve students into thorough professionals that are easily recruited within the industry.

At APTRON’s well-equipped r programming training center in noida aspirants learn the skills for Introduction to R Programming, Statistical Programming, Programming statistical graphics, Simulation, Computational linear algebra, Numerical optimization, Data Manipulation Techniques using R programming, R and Databases, Subscripting, Data Aggregation, Statistical Applications using R programming, R Programming on real time projects along with R Programming placement training. R Programming Training in Noida has been designed as per latest industry trends and keeping in mind the advanced R Programming course content and syllabus based on the professional requirement of the student; helping them to get placement in Multinational companies and achieve their career goals.

APTRON is the biggest R Programming training center in Noida with high tech infrastructure and lab facilities and the options of opting for multiple courses at Noida Location. APTRON in Noida prepares thousands of aspirants for R Programming at reasonable fees that is customized keeping in mind training and course content requirement of each attendee.

R Programming training course involves "Learning by Doing" using state-of-the-art infrastructure for performing hands-on exercises and real-world simulations. This extensive hands-on experience in R Programming training ensures that you absorb the knowledge and skills that you will need to apply at work after your placement in an MNC.

APTRON Noida is one of the best r programming training institute in noida with 100% placement support. APTRON has well defined course modules and training sessions for students. At APTRON R Programming training is conducted during day time classes, weekend classes, evening batch classes and fast track training classes.

Course Content Covered in R Programming Training Course

R Programming Course Contents

Module 1: Essential to R programming

An Introduction to R
History of S and R
Introduction to R
The R environment
What is Statistical Programming?
Why use a command line?
Your first R session
Introduction to the R language
Starting and quitting R
Recording your work
Basic features of R
Calculating with R
Named storage
Functions
Exact or approximate?
R is case-sensitive
Listing the objects in the workspace
Vectors
Extracting elements from vectors
Vector arithmetic
Simple patterned vectors
Missing values and other special values
Character vectors
Factors
More on extracting elements from vectors
Matrices and arrays
Data frames
Dates and times
Built-in functions and online help
Built-in examples
Finding help when you don’t know the function name
Built-in graphics functions
Additional elementary built-in functions
Logical vectors and relational operators
Boolean algebra
Logical operations in R
Relational operators
Data input and output
Changing directories
dump() and source()
Redirecting R output
Saving and retrieving image files
Data frames and the read.table function
Programming statistical graphics
High-level plots
Bar charts and dot charts
Pie charts
Histograms
Box plots
Scatterplots
QQ plots
Choosing a high-level graphic
Low-level graphics functions
The plotting region and margins
Adding to plots
Setting graphical parameters
Programming with R
Flow control
The for() loop
The if() statement
The while() loop
Newton’s method for root finding
The repeat loop, and the break and next statements
Managing complexity through functions
What are functions?
Scope of variables
Miscellaneous programming tips
Using fix()
Documentation using#
Some general programming guidelines
Top-down design
Debugging and maintenance
Recognizing that a bug exists
Make the bug reproducible
Identify the cause of the bug
Fixing errors and testing
Look for similar errors elsewhere
The browser() and debug()functions
Efficient programming
Learn your tools
Use efficient algorithms
Measure the time your program takes
Be willing to use different tools
Optimize with care
Simulation
Monte Carlo simulation
Generation of pseudorandom numbers
Simulation of other random variables
Bernoulli random variables
Binomial random variables
Poisson random variables
Exponential random numbers
Normal random variables
Monte Carlo integration
Advanced simulation methods
Rejection sampling
Importance sampling
Computational linear algebra
Vectors and matrices in R
Constructing matrix objects
Accessing matrix elements; row and column names
Matrix properties
Triangular matrices
Matrix arithmetic
Matrix multiplication and inversion
Matrix inversion
The LU decomposition
Matrix inversion in R
Solving linear systems
Eigenvalues and eigenvectors
Advanced topics
The singular value decomposition of a matrix
The Choleski decomposition of a positive definite matrix
The QR decomposition of a matrix
The condition number of a matrix
Outer products
Kronecker products
apply()
Numerical optimization
The golden section search method
Newton–Raphson
The Nelder–Mead simplex method
Built-in functions
Linear programming
Solving linear programming problems in R
Maximization and other kinds of constraints
Special situations
Unrestricted variables
Integer programming
Alternatives to lp()
Quadratic programming

Module 2: Data Manipulation Techniques using R programming

Data in R
Modes and Classes
Data Storage in R
Testing for Modes and Classes
Structure of R Objects
Conversion of Objects
Missing Values
Working with Missing Values
Reading and Writing Data
Reading Vectors and Matrices
Data Frames: read.table
Comma- and Tab-Delimited Input Files
Fixed-Width Input Files
Extracting Data from R Objects
Connections
Reading Large Data Files
Generating Data
Sequences
Random Numbers
Permutations
Random Permutations
Enumerating All Permutations
Working with Sequences
Spreadsheets
The RODBC Package on Windows
The gdata Package (All Platforms)
Saving and Loading R Data Objects
Working with Binary Files
Writing R Objects to Files in ASCII Format
The write Function
The write.table function
Reading Data from Other Programs
R and Databases
A Brief Guide to SQL
Navigation Commands
Basics of SQL
Aggregation
Joining Two Databases
Subqueries
Modifying Database Records
ODBC
Using the RODBC Package
The DBI Package
Accessing a MySQL Database
Performing Queries
Normalized Tables
Getting Data into MySQL
More Complex Aggregations
Dates
Date
The chron Package
POSIX Classes
Working with Dates
Time Intervals
Time Sequences
Factors
Using Factors
Numeric Factors
Manipulating Factors
Creating Factors from Continuous Variables
Factors Based on Dates and Times
Interactions
Subscripting
Basics of Subscripting
Numeric Subscripts
Character Subscripts
Logical Subscripts
Subscripting Matrices and Arrays
Specialized Functions for Matrices
Lists
Subscripting Data Frames
Character Manipulation
Basics of Character Data
Displaying and Concatenating Character
Working with Parts of Character Values
Regular Expressions in R
Basics of Regular Expressions
Breaking Apart Character Values
Using Regular Expressions in R
Substitutions and Tagging
Data Aggregation
Table
Road Map for Aggregation
Mapping a Function to a Vector or List
Mapping a function to a matrix or array
Mapping a Function Based on Groups
There shape Package
Loops in R
Reshaping Data
Modifying Data Frame Variables
Recoding Variables
The recode Function
Reshaping Data Frames
The reshape Package
Combining Data Frames
Under the Hood of merge

Module 3: Statistical Applications using R programming

Basics
First steps
An overgrown calculator
Assignments
Vectorized arithmetic
Procedures
Graphics
R language essentials
Expressions and objects
Functions and arguments
Vectors
Quoting and escape sequences
Missing values
Functions that create vectors
Matrices and arrays
Factors
Lists
Data frames
Indexing
Conditional selection
Indexing of data frames
Grouped data and data frames
Implicit loops
Sorting
The R Environment
Session management
The workspace
Textual output
3 Scripting
Getting help
Packages
Built-in data
attach and detach
subset, transform, and within
The graphics subsystem
Plot layout
Building a plot from pieces
Using par
Combining plots
R programming
Flow control
Classes and generic functions
Data entry
Reading from a text file
Further details on read.table
The data editor
Interfacing to other programs
Probability and distributions
Random sampling
Probability calculations and combinatorics
Discrete distributions
Continuous distributions
The built-in distributions in R
Densities
Cumulative distribution functions
Quantiles
Random numbers
Descriptive statistics and graphics
Summary statistics for a single group
Graphical display of distributions
Histograms
Empirical cumulative distribution
Q–Q plots
Boxplots
Summary statistics by groups
Graphics for grouped data
Histograms
Parallel boxplots
Stripcharts
Tables
Generating tables
Marginal tables and relative frequency
Graphical display of tables
Barplots
Dotcharts
Piecharts
One- and two-sample tests
One-sample t test
Wilcoxon signed-rank test
Two-sample t test
Comparison of variances
Two-sample Wilcoxon test
The paired t test
The matched-pairs Wilcoxon test
Regression and correlation
Simple linear regression
Residuals and fitted values
Prediction and confidence bands
Correlation
Pearson correlation
Spearman’s ?
Kendall’s ?
Analysis of variance and the Kruskal–Wallis test
One-way analysis of variance
Pairwise comparisons and multiple testing
Relaxing the variance assumption
Graphical presentation
Bartlett’s test
Kruskal–Wallis test
Two-way analysis of variance
Graphics for repeated measurements
The Friedman test
The ANOVA table in regression analysis
Tabular data
Single proportions
Two independent proportions
k proportions, test for trend
r × c tables
Power and the computation of sample size
The principles of power calculations
Power of one-sample and paired t tests
Power of two-sample t test
Approximate methods
Power of comparisons of proportions
Two-sample problems
One-sample problems and paired tests
Comparison of proportions
Advanced data handling
Recoding variables
The cut function
Manipulating factor levels
Working with dates
Recoding multiple variables
Conditional calculations
Combining and restructuring data frames
Appending frames
Merging data frames
Reshaping data frames
Per-group and per-case procedures
Time splitting
Multiple Regression
Plotting multivariate data
Model specification and output
Model search
Linear models
Polynomial regression
Regression through the origin
Design matrices and dummy variables
Linearity over groups
Interactions
Two-way ANOVA with replication
Analysis of covariance
Graphical description
Comparison of regression lines
Diagnostics
Logistic regression
Generalized linear models
Logistic regression on tabular data
The analysis of deviance table
Connection to test for trend
Likelihood profiling
Presentation as odds-ratio estimates
Logistic regression using raw data
Prediction
Model checking
Survival analysis
Essential concepts
Survival objects
Kaplan–Meier estimates
The log-rank test
The Cox proportional hazards model
Rates and Poisson regression
Basic ideas
The Poisson distribution
Survival analysis with constant hazard
Fitting Poisson models
Computing rates
Models with piecewise constant intensities
Nonlinear curve fitting
Basic usage
Finding starting values
Self-starting models
Profiling
Finer control of the fitting algorithm

R Programming Training in Noida Reviews

R Programming Training in Noida

Reviewed by

Naveen Kumar

on 2020-12-24

Just completed my training from Aptron in R programming and currently working for DXC technology. Big thanks to my trainer. It was the Best R Programming Training from Aptron.

Rating:

5/5

R Programming Course in Noida

Reviewed by

Adarsh Kothari

on 2020-11-23

I strongly recommend Aptron the Best R Programming Institute for doing R programming courses. I am doing my R Programming course in Aptron Noida, till now my two modules have been completed. It’s been a good experience with a trainer, as they shared a lot of knowledge in brief. At the institute, trainers and admin staff are good & cooperative.

Rating:

5/5

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Reviewed by

Veenu Makkar

on 2020-10-22

I have completed my best R Programming Training course from Aptron. I had amazing experience after completion of the training program and I would like to say thanks to the trainer, who elaborates solution for all the problems very quickly at the same time with very easy Technic to better understanding.

Rating:

4/5

R Programming Training

Reviewed by

Piyush Agrawal

on 2019-09-21

The trainers at Aptron were very kind and helpful during the entire course. I would like to rank him 5 out of 5. I am so much obliged and feeling grateful, thank a ton for the great support by trainers and thank you Aptron Noida for the best R Programming Training.

Rating:

5/5

R Programming Course

Reviewed by

Mohitt Almal

on 2019-08-20

I hope, my review may help those who are searching for an institution where they can enhance their skills and get a placement as well. I have joined Aptron Solution to complete my R Programming Training, my trainer is one of the best teachers of my life. Those who are searching for an institute joined it immediately without hassle & wasting their time. It is the best R Programming course ever.

Rating:

5/5

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Reviewed by

Swati Mudiya

on 2019-07-19

The trainer will teach you both theoretical as well as practical knowledge, also prepare you for interviews. The best thing about trainer is that they help you even after the completion of your course, share queries on e-mail or Whats-App your query and you will get your problem resolved. My overall experience was awesome. APTRON is the best R Programming Institute.

Rating:

4/5

R Programming Training in Noida

Reviewed by

Amit Sharma

on 2018-06-18

My experience in Aptron is quite well. I have taken classes for the best R Programming Training. Whenever I raised any doubt and to be honest my all queries and doubt were sorted out patiently. I must say my trainer was quite supportive and patiently explained everything.

Rating:

5/5

R Programming Course in Noida

Reviewed by

Jai Srivastava

on 2018-05-17

As I have taken classes on a weekend basis, rather than never feel like that the course is running or missing anywhere. And now I am too confident about R Programming after completion of training under expert trainers. I will always recommend everyone to Join Aptron Noida if they are interested in the best R Programming Training.

Rating:

4/5

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Reviewed by

Ankur Aggarwal

on 2018-04-16

Aptron R Programming Training is a professionally designed training to meet the increased demand from the industry, and I have completely benefited from it. I would recommend this best R Programming course from APTRON to anybody looking to make a career in it.

Rating:

5/5

R Programming Training Institute in Noida

Reviewed by

Nikmal Kankar

on 2018-03-15

Making tough concepts easy and providing real-world examples, with total interactivity, assignments and quizzes to gauge your learning process are some of the aspects that I love about the best R Programming Training. It’s a powerful R Programming Training course indeed.

Rating:

5/5

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Reviewed by

Rashida

on 2012-05-23

APTRON training is remarkable training center in Noida for R Programming with organized course-ware. I am quite sure that I will get R Programming profession job shortly.

Rating:

5/5

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Reviewed by

Atul Kumar

on 2011-09-15

APTRON institute is brilliant training center for R Programming certification. You will get the impeccable R Programming certification training in Noida.

Rating:

4/5

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Reviewed by

Roshni Kumari

on 2013-05-22

I got trained in R Programming certification from APTRON training institute in Noida, got trained in course very well. Waiting for R Programming certification placement.

Rating:

4/5

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Reviewed by

Sakshi Rawat

on 2014-06-16

APTRON training center is suggested by my brother for the most excellent R Programming training in Noida. I like the practical training classes for R Programming course.

Rating:

4/5

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Reviewed by

Kamal Kumar

on 2014-12-09

APTRON training center in Noida is recommend by one of my friend. I have finished R Programming training and now I am attending interviews.

Rating:

5/5