/ 5 out of 5 /
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Ratings/
5 user reviews.

APTRON is a skilled source of R Programming training in Noida. Its effective R Programming training program enables students to enroll for R Programming course in Noida to create, develop and design powerful technological solutions, which result in accelerating productivity and scalability to the next level. Our, R Programming institute in Noida delivers R Programming course based on real-time industrial projects that assist students to rethink and transform technology to the next powerful age through extensive hands-on experience during the R Programming training in Noida. Imparting core R Programming training to the students enables them to embark on their R Programming journey by levitating technological mindfulness and streamlining operations during employment. The R Programming training institute has industry expert instructors who impart in-depth knowledge about the technology using the real-time industry-based methodology to the students.

APTRON Noida delivers the best R Programming training in Noida to the students. Our experienced industry professionals just not train the students; rather, they impart the skill formula of value creation and addition during the employment tenure. An idea needs fluffiness; therefore, the R Programming course in Noida covers both the basic and advanced training that enables students to understand the idea of R Programming in the latest technological implementations. Such training composes our students as the most preferred candidate for potential employers. Our R Programming training course syllabus has the expertise and capabilities to deliver quantifiable R Programming solutions to our students. APTRON creates skilled industry leaders through its unique training methodology. We create R Programming experts who help improvise capabilities of businesses by defying the latest threats, and challenges coming up in the domain.

APTRON is a well-established R Programming training institute in Noida, which has acquired its reputation by imparting skill-based R Programming training to its students. Our R Programming course is delivered in accordance with the industry standards by industry-experienced professionals. In addition, our industrial training assists students to manage and execute real-time projects efficiently and competently in a professional environment.

Our expert industrial instructors are the core strength of APTRON. They possess advanced knowledge of R Programming concepts and principles. Trainers discuss, design and develop R Programming training methodologies based-on real-world business scenarios that have the ability to meet the latest industry requirements satisfactorily. Moreover, the architectural expertise in R Programming and the effective and clear translation of complex technologies is the excellent talents of our R Programming trainers. Also, the apprehensive approach of R Programming trainers assists students in understanding the theoretical concepts, practical implications and the importance of R Programming technology in the upcoming IT industry. Students with technical queries can get in touch with our trainers at any time of the day. The R Programming queries of the students are addressed patiently and repeatedly.

Students keen to learn R Programming can opt for R Programming training classes in Noida on weekdays or weekends depending upon their requirements. APTRON, R Programming training institute in Noida offers a fast-track R Programming training course and one-to-one training in Noida to all the students.

APTRON’s R Programming training in Noida is conducted both during weekdays as well as at the weekends depending upon the choice of the students. Also the institute offers fast-track R Programming training as well as one-to-one training in Noida to all the students. The major topics covered under R Programming training in Noida at APTRON are: 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.

Being well aware of the industry needs, APTRON Noida offers the R Programming Training in Noida with major focus being on the practical aspects of the training. Our team of highly proficient R Programming trainers offer R Programming training in classroom and also we provide R Programming corporate training services. The R Programming training course syllabus here has been framed in a way to meet the professional requirements of both the beginner as well as the advanced level.

APTRON R Programming Training in Noida has been categorised into following batches and is conducted in multiple batche during morning as well as evening.

Track | Fees | Regular | Weekend | Fast Track |
---|---|---|---|---|

Course Duration | 45-60 Days | 8 Weekend | 5 Days | |

Hours | 2 Hours a day | 3 Hours a day | 6+ Hours a day | |

Training Mode | Live Class Room | Live Class Room | Live Class Room |

**Skill-based training**
Our instructors are industry specialized and certified academic entities. They bring in-depth and skill training that convenes the solutions to trending issues in the IT domain.

**Limitless lab sessions** APTRON has a credited and well-equipped IT establishment. It comprises smart classrooms and smart labs loaded with switches, data servers, servers, routers, Wi-Fi, live racks and other networking related devices.

**100% placement assistance** Our recruitment squad guarantees to fix maximum interview dates of R Programming applicants on a regular basis. The recruitment HR team carries out mock-interview sessions, shares often asked questions of interviews, opts for personality development sessions, Spoken English, and advances presentation skills of the students. All such classes help in structuring the confidence of the applicants as well as make his personality appealing for the interviews.

**Reasonable fee**
APTRON accuse a reasonable fee and offers free of cost classes such as personality development, Spoken English, staging skills, performs interviews, and study materials. In addition, the timings are prepared flexible in accordance with students’ comfort.

- 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

- 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

- 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
- 4 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

- Students get the well-defined R Programming training in Noida, and after completion of the R Programming course, they are placed in recognized organizations.
- Our certified trainers having 5 to 15 years of industrial experience facilitate students with a regular, weekend or customized R Programming training in Noida in accordance with their career requirements.
- Trainers mentor their students in major project training, minor project training, live project preparation, and interview preparation.
- Our established R Programming training institute has smart classrooms and smart labs equipped with the latest servers, routers, switches, nodes, projectors, live racks, Wi-Fi connectivity, digital pads, and other networking devices.
- Students are free to access the labs for an unlimited number of hours as per their own preferred timings. In addition, students can avail Extra Time Slots (E.T.S.) for practical, absolutely free.
- APTRON provides free Study Material, Books, PDFs, Video Trainings, Video Lectures, Sample Questions, Exam Preparation, Interview Questions, HR screening questions, Lab Guides and Projects.
- There is no extra fee charged from the students who need to retake any R Programming class or require One-on-One attention from the instructors.
- During the R Programming training, we also facilitate students with free of cost personality development sessions. These sessions comprise of spoken English, group discussions, mock interviews, presentation skills.
- Hostel facilities available at Rs.4,500/- per month for R Programming training in Noida.
- Our R Programming certification is globally recognized. We accept Cheque, Cash, Credit Card, Debit card, Net Banking payment modes.

The objective of R Programming training in Noida at APTRON is:

- The R Programming course has been designed developed and structured adhering to and aligning to the current industry requirements.
- R Programming training offers in-depth knowledge about the scripting elements that include all basic to advanced level R Programming features, variables and flow control.
- Our R Programming course in Noida initiates the learners with its standard library and its object-oriented features.

R Programming is accepted universally in all technological innovations and developments. It is easy to learn even by the new programmers, though it requires rigorous practice.

Other compelling reasons to opt for R Programming training are:

- R Programming is easy to learn, has been accepted across the software development sector universally, and it is considered as an effective and productive programming language in the current IT age.
- R Programming is a widely used and common programming language suitable for the general-purpose task as well as for big projects.
- R Programming is an ideal language that can render large development teams and single domain users.

APTRON Noida R Programming training is suitable for:

- Individuals, who need to make a quick entry into IT sector.
- Professionals, who want to strengthen their IT profile and expecting a good and quick hike in their salary. Moreover, candidates want to explore a wide opportunities in developed countries like USA, UK, UAE, Singapore, Australia, Japan, etc.
- This is a revolutionary technology, which has wide career scope across national and international organizations.

R Programming has occupied the place amongst the topmost programming languages available in the IT industry.

You not only attain a designation such as Software Programmer, Research Analyst, Programmer, Data Analyst, etc. but also you enjoy the high remuneration throughout your career.

Further, the amalgamation of R Programming with other technologies makes it dynamic in nature. Many big names like Netflix, Facebook, and even Google is using R Programming. Thus, you always have an opportunity to find a job in world-renowned organizations.

- No eligibility criterions are required to learn R Programming, though, rigorous practice is always recommended to the R Programming training students.
- Students with fundamental knowledge of programming or having a little exposure could be considered beneficial but not necessary.

Pursuing R Programming certification training necessarily upgrades your coding skills. R Programming is an object-oriented programming language, whose syntax is largely based on C and C++. Thus, students learn to develop robust, secure and portable applications capable of running on multiple platforms like Window, Mac, and Linux operating systems.

- APTRON Noida R Programming course duration in Noida depends upon the students’ flexibility. We conduct classes throughout the weekdays, weekends, and offer crash courses as well. Thus, it entirely depends upon the grasping ability and the type of batch a student has selected.
- Our R Programming course fee is not only affordable but reasonable too. Students from all walks of life can afford to enroll in a career that offers a better life and living.

Our R Programming Trainers at APTRON Noida:

- Have more than 7 Years of expertise in R Programming Technologies
- Have worked on several real-time R Programming based live projects
- Have been working in the top MNCs
- Trained 1000+ aspirants till date
- Strong proficiency in both Practical and Theoretical Knowledge
- Certified Professionals

Our R Programming placement training includes personality development, communication classes, training on R Programming interview questions and answers, and confidence-building sessions to boost students to face R Programming job interviews successfully.

- More than 1000+ students professionally Trained
- 100% Placement Record
- Several Interviews conducted every month

The average salary of R Programming professionals can vary according to the city, state/province, and country. However, the latest salary trends followed in the R Programming development sector begin from the package of 5 lacs per annum.

A student has to complete the R Programming certification before applying to a job. The roles available in the industry are Software Programmer, Research Analyst, R Programming Programmer, Data Analyst, R Programming Developer, etc.

Yes, of-course, we have a dedicated placement team that would assist you in getting placed at the end of the course.

- We help you in building a proper resume.
- We discuss top interview questions and answers in the related technology.
- We share some valuable insights about the real world projects by making use of this specific technology.
- We work tirelessly in order to bring a better career change.

We accept all major payment modes i.e. Card (Master, Visa and Maestro etc), Cash, Net Banking, Paytm etc.

Amar Singh

5 Jan 2018 FridayFabulous! The trainer gives his best in explaining every detail about the course, covers each and every topic with examples and practical illustration. This made learning R Programming even more easy. The practical illustrations give a clear understanding of every concept. I am very glad having chosen this institute for the R Programming course. The staff here is very supportive and the trainer is simply the best. Also the institute has a well-equipped management. This subtle approach towards training lets an individual even the beginner master the concepts of the course. The fee is quite reasonable and the training is worth the money. Not only this but also the institute accounts for the student’s job by providing placement support as well. The best part is that the institute offers unparalleled teaching with lab experience at an unbeatable price. I am extremely happy with the kind of response I got here, the study material, the lab facilities, infrastructure etc. I would definitely recommend this institute for R Programming training.

Navpreet Singh

5 Jan 2018 FridayIt was a great experience to learn R Programming from this institute. The course is beneficial for both the starters as well as those with intermediate level knowledge. The trainer has a firm grip over the concepts and substantial knowledge about the language. The training method used by the teacher is quite simple and easy to understand. The best thing is the course material provided that already has the lecture notes in it. The course starts right from the basic concepts to the highly advanced level. The institute sets up the best example of how training should be. Everything be it lectures, management, working, practical etc. are perfectly organized. Every concept is explained well via making the students work with live projects. Once, you enroll for the course, the institute actively looks after your needs. Overall the course is good and perfect for the beginners. I would recommend this institute to everyone who wants to learn programming language. Perhaps APTRON is the best place for R Programming training.

Shyam Dubey

5 Jan 2018 FridayI am thankful to APTRON, and I believe that it is one of the best educational institutions. I have undergone my R Programming training from here and I am doing great from the things learned from here after I received my certification for R Programming training. I am a working professional now and come across opportunities in many other companies. There is no institute like this that takes complete responsibility of the student’s learning. The training offered is completely practical based and the students are made to learn by giving them chance to work with the live projects. The R Programming Trainer here is knowledgeable and highly experienced. He simplifies the topics by showing examples, thus making it easier to understand. The trainer clears all our doubt by answering the queries. The periodic test conducted ensures a better learning. Thus the institute is best in terms of delivering performance as well as the skilled professionals. I love the place and I am extremely satisfied by the teaching given here. Recommended for sure!