SASVBA (The Best Educational Hub)

R PROGRAMMING LANGUAGE TRAINING

DEVELOPMENT ENVIRONMENT

PLACEMENT CONSULTANT

R Programming Training

SASVBA Provides Best R Programming Training in Delhi NCR with Latest Development Environment and Frameworks. We keep Our Courses Up to Date with the Latest industrial trends. SASVBA Is One of the best training R Programming Institute in Delhi NCR Which Helps Students to Crack Interviews in Tech Giants. We train college students as well as school students.

R Programming Course with Statistics Analysis:

SlotsWeek DaysWeek Ends
Course Duration1.5 Months2.5 Months
Class Duration2 Hours3 Hours
Training ModeClassroom/OnlineClassroom/Online

SASVBA Institute Has a very good and supportive environment with high performance Computers having Up-to-Date IDE’s. We Also Provide Online Classes to ensure the comfort of Our Students So that they can easily Study Where Ever They Want, When Ever They Want. SASVBA Institute R Programming Faculty Is Highly Experienced and Heard Thousands of Success Story of Our Students.

  • Courses Can Be Customized as per the requirement of Students.

What is R Programming?
R Programming is an interpreted programming language that is also a software environment used to analyze statistical information, graphical representation, reporting, and data modeling. R is being used by researchers, data analysts, statisticians, and marketers for retrieving, cleaning, analyzing, visualizing, and presenting data.

Drop us a query

R Programming With Statistics Analysis Course:

  • Terms in Statistical Analytics
  • Statistical Analytics vs. (Data warehousing, OLAP, MIS Reporting)
  • Types of problems
  • Business objectives in various industries
  • How the companies are using statistical Analytics?
  • Critical success drivers
  • Statistical Analytics tools & their popularity
  • Statistical Analytics Methodology
  • Problem-solving framework
  • Steps in Statistical Analytics projects
  • Why use R for data science?
  • R-Studio – GUI
  • Concept of Packages
  • Useful Packages (Base & Other packages)
  • Data Structure & Data Types
    • Vectors
    • Matrices
    • Factors
    • Data frames
    • Lists
  • Importing Data (txt, dlm, excel, sas7bdata, db, etc.)
  • Database Input (Connecting to the database)
  • Exporting Data to various formats
  • Viewing Data
    • Viewing partial data
    • full data
  • Variables and Value Labels –  Date Values
  • Creating New Variables
  • Dummy variable creation
  • Applying transformations
  • Handling duplicates
  • Handling missings
  • Sorting and Filtering
  • Subsetting (Rows/Columns)
  • Appending (Row appending/column appending)
  • Merging/Joining
    • Left,
    • Right
    • Inner
    • Full
    • outer
  • Data type conversions
  • Renaming
  • Formatting
  • Reshaping data
  • Sampling
  • Data manipulation tools
  • Operators
  • Functions
  • Packages
  • Control Structures
  • Loops
  • Arrays
  • R Built-in Functions
  • Numerical Functions
  • Text Functions
  • Date Functions
  • Utilities Functions
  • R User-Defined Functions
  • R Packages for data manipulation
  • Descriptive statistics,
  • Frequency Tables
  • summarization
  • Univariate Analysis
  • Distribution of data & Graphical Analysis
  • Bivariate Analysis
  • Cross Tabs
  • Distributions & Relationships
  • Graphical Analysis
  • Creating Graphs-
    • Bar
    • Pie
    • line chart
    • histogram
    • boxplot
    • scatter
    • density
  • R Packages ( Exploratory Data Analysis)
    • dplyr
    • plyr
    • gmodes
    • car
    • vcd
    • Hmisc
    • Psych
    • doby
  • R Packages (Graphical Analysis)
    • base,
    • ggplot
    • lattice

Case Studies

Understanding customers Income and expenditure behavior with evaluating areas of bankruptcy, fraud, and collections.

A retail store has to analyze the regular transactions and keep a record of its customers spread across various locations, their purchases, and returns along with various categories. The aim of the study is to understand customer’s behavior in terms of purchase and returns.

A bank would plan to build a credit risk model to accept or reject applications for loans. 

Perform graphical analysis

  • bar chart
  • pie chart
  • box plot
  • histogram
  • stacked charts
  • heat maps
  • scatter plots
  • panel charts

for solving different business problems

A credit card company tries to understand the customer’s behavior to have an enriched customer profile. The objective is accomplished by apply advanced algorithms like

  • factor analysis
  • cluster analysis

for data depletion and customer segregation based on the behavioral data.

A bank would plan to build a credit risk model to accept or reject the applications for loans.

The aim of the case study is to understand what’s causing the total Expenditure of a credit card (Primary Card + Secondary card) and identify the key spend drivers. It will require candidates to apply OLS/ linear regression and follow the end-to-end model building process and help set the credit limit and designing new product offerings.

In this, we obtain data from social media platforms like Twitter/Facebook/YouTube, etc. and perform various analysis using text mining and Machine learning techniques.

SASVBA Is a Highly Recommended Institute in Delhi NCR. We provide 100% Placement Support So that Students Would not have any Burden of Placements.

We have Collaborations with TCS, Wipro, Infosys, JIO, Airtel, Tech Mahindra, HCL, IBM, etc. These Companies help us to Place students in appropriate Companies. According to their Skills. SASVBA Institute is trending because We Successfully Placed Almost Thousands of Students in Appropriate Companies that’s why SASVBA is the Best R Programming training institute in Delhi.

  • SASVBA is One of the most famous institutes in Delhi NCR and had trained thousands of students in this field
  • SASVBA provides an opportunity for students to work on Live projects
  • SASVBA Converts a Normal Student to an I.T. Professional
  • SASVBA Provides Recorded Classes
  • SASVBA Offers Online IDE’S, Live Classes, Online Debug Sessions
  • SASVBA Provides Study Material: E-Books, Books, Notes
  • SASVBA Placements team arrange interview Calls to students After 70% percent, of the Course, has been Completed.
  • To Increase Experience of Student Our Team and Students Collaborate to Work on Live Projects
  • SASVBA also Provides Aptitude Training for students to crack interview rounds.
  • We Also Help Students to Write a Job Specific Resume

Today, there is a very high demand for R Programming and it is very popular. R Programming is everywhere. R is being used by researchers, data analysts, statisticians, and marketers for retrieving, cleaning, analyzing, visualizing, and presenting data.

Therefore, there is a high demand for R Programming.

Google, Facebook, Instagram, Stack overflow, GitHub, YouTube, Space X, Tesla, Microsoft, etc.

One Can Easily Customize their Course According to their requirements also provide custom training programs so that we can fulfill the Expectations of the students.

R Programming is an interpreted programming language that is also a software environment used to analyze statistical information, graphical representation, reporting, and data modeling. R is being used by researchers, data analysts, statisticians, and marketers for retrieving, cleaning, analyzing, visualizing, and presenting data.

Today, there is a very high demand for R Programming and it is very popular. R Programming is everywhere. R is being used by researchers, data analysts, statisticians, and marketers for retrieving, cleaning, analyzing, visualizing, and presenting data.

Therefore, there is a high demand for R Programming.

Start by learning basic concepts of R Programming when you get familiar with it then start Learning its advance Concepts

Recorded lectures Are provided if you miss any class you can see them and continue with us.

Our Students are working with companies like:

  • Genpact
  • Infosys
  • TCS
  • Airtel
  • Goldman Sachs
  • Idea
  • Reliance
  • HCL
  • And Many More……

R programming

Advance your career with free online r programming course in Delhi programming. Learn about this programming language’s role in disciplines such as statistics, data science, big data, and machine learning computer r programming courses in Delhi. Become an R code expert with r programming training from the best universities and institutions.

What is the R Language?

In short, the R language helps to analyze data sets beyond the basic analysis of Excel files. The R programming training is open source and has grown in popularity since its inception. The R programming training and its development environment Explore the potential that the R language has for you with r programming online training.

 Learn how to code in R through online programming courses in Delhi to develop and expand your technical skills. Self-paced and introductory r programming online training is available right now to help you learn about the use of R programming training in the world of big data, machine learning, statistics, and more. There are many free online programming courses in Delhi on related topics available on the platform. For its part, the introductory courses in R programming courses near me will teach you about topics such as R functions, data types, operations on vectors, etc. Discover how the “if-else” and “for loop” commands work, among many other subtopics related to this skill. Enroll in aR courses and start building your R skills today.

Obtaining and installing R depends on the operating system you are working on, so always remember to review each course’s specifications before enrolling. Thanks to the free r programming online training available on the platform, you can learn to access databases with R, handle linear models in R, and even create your own functions; learn computer programming courses in Delhi. Don’t miss out on the opportunity r programming certification free to advance your career. We also invite you to review the catalog of R courses available on the platform on computer science and programming issues. Introductory r programming online courses about Python, Java, JavaScript,r courses, C, C ++ and more are available to provide the student with a comprehensive education according to the demands of the current market programming courses near me.

 Advantages of taking online courses

 Learn with our online programming classes near me and from the best universities globally and lead professionals in the industry. We cannot stop talking about two advantages when it comes to the free online courses available on the platform. You learn R in a complete way and according to the demands of the current market. Start a free online course, r programming certification free.

 Programming in R can be used in different fields. For example, in data science,r training, in machine learning (or automatic learning), they can help in data visualization. You will be able to handle databases much more easily. You can find different r programming online courses for beginners and experts.

Jobs that require knowledge for R Training

The demand for expert data science professionals and the need for professionals trained in this programming language Delhi r

 is growing very rapidly. With it, the different nuances and technical skills required for its development. Some of the most common jobs in this area are data science project programmer, R programmer, web developer, big data analysts and/or programmers, statistical models analyst, etc.

Developing your expertise in this topic can significantly improve your CV. Delhi

R experts can work in many organizations, especially those in the emerging sciences group like big data and machine learning, and even application development. In a recent search on a job listing site, we found over 500 open positions when we put in the term “R programming.” Notably, these results are limited to a single country and a single job search site. Start learning about R today with free programming classes near me available on the platform.

Programming in R offers statistical tools and allows the user to implement new functions, work with different operating systems, and obtain high-quality results. For example, previously, we used CSV or text files, now with the studio, we can have more exact results, using a working directory, a function definition, a histogram, data frames.

With R, you can handle functions with xlab, ylab, sapply, runif, among other.

There are other languages such as Fortran, Matlab among others that help process data.

DESCRIPTION

Learning r training is essential to get into Big Data and Machine Learning, two more important concepts every day. Also, this R

programming courses near me with offer r programming certification free ideal to start your training in statistical analysis.

This complete course is divided into seven sections, in which the teacher will develop them in several lessons so that you can progress as you overcome them and learn computer programming courses in Delhi.The first of the blocks is dedicated to introducing some concepts of great importance, so that you make the first contact with them, since later during the rest of the course they will be deepened in them. We will briefly introduce the R language, its installation, the different IDEs (Integrated Development Environments), and editors.

In our second block, you will learn about the structure of this language, also learning the structure of a program, the functions and constants predefined in R, and some of its most basic variables.

After knowing a little better R’s structure, you can continue with the lesson of simple data types, where we will explain what they are and what the 5 types of them are. We will then enter to see the complex data types, such as lists, factors, matrices, arrays, and DataFrames, doing some exercises on them as the theoretical part is finished.

The next step in your r programming online course will be to learn to work with files in to use the functions for reading files and the functions for writing files and working with internal data. Then we propose some exercises to work with files and thus be able to test everything learned in this block.

The penultimate section of the course is the one that we will dedicate to control structures, both conditional and repetitive structures. Again we will do some interesting exercises to work with these control structures, which will help you to check if you have understood these concepts well.

And to finish this course, we will dedicate the final section to functions in R, an important section in which we will teach you to create user functions and to work with them in a more advanced way. We will also talk about recursive functions, nested functions, and error and exception handling.

In the same way that we did in other sections of the r programming course, in this final section, we will do some theoretical exercises to work on the concepts about the functions that you have previously learned.

This R programming course is a good starting point for your training if you want to get into concepts such as Big Data and Machine Learning. If you want to go deeper into it, you can continue with  R programming classes near me: Data Visualization and Machine Learning.

Statistical data analysis is a fundamental task in the digital transformation of companies. The availability of data, its quantity, and the speed with which results are required make it necessary to train technicians for data analysis with new tools. Association (AEC) offers this course, given the growing demand for training in statistical tools by companies. The course has an introductory level and aims to lay the foundations for later addressing the application of specific tools using R. The 50-hour course is taught online, with live classes after  r programming certification free.

Statistical Analysis and Programming Course with R

Introductory course to statistics and the use of the R programming language. Work with theoretical models, practical cases, and statistical tools, the processes of problem definition, data preparation, and exploration, as well as the main concepts of classical statistics.

Professional outings

Data analysts in management control departments or other departments of the company, especially in marketing and sales and in those of production and operations.

Consultants who want to direct their professional career towards the field of business intelligence and big data in service companies.

Professionals from any field who need to incorporate data analysis into their day-to-day work.

Entrepreneurs who need to improve data-informed decision making.

Programming is a fundamental piece for the practice of data science. In addition to knowing the languages themselves, the correct use and good programming practices are as important as solid statistical knowledge.

Scheduling correctly reduces errors, increases your productivity, and enables large-scale analytics in Big Data contexts. The R programming language is trendy due to its easy learning curve, its large number of statistical tools, and its strong orientation to analytics. For all these reasons, this module is one of the cornerstones on which the correct training of Data Scientists is built.

Aimed at: The r programming course is aimed at a student without previous or low programming knowledge or who has previously programmed but is not familiar with R. The student needs a laptop (Windows / Mac / Linux) with RStudio.

What is R?

The R programming software is an implementation of the statistical language S. It was born with an approach oriented towards statistical analysis. However, its use has subsequently been extended to data analysis. Such has been its impact that today it is, along with Python, one of the community’s main languages for this purpose.

R is a great software for solving data analysis problems, and it is currently used by many universities and large companies such as Google, Microsoft, Facebook.

R is a powerful tool for data analysis and visualization. It has been developed by and for data analysts, which translates into great functionality. This language’s ability to work with data from different sources marks its ease of use, becoming a platform for high-capacity data analysis.

Take the IT Trainers r language course to learn how to write basic R code. We provide comprehensive training that will allow you to write real code in minutes—quality training in a face-to-face mode where you will learn how to install R and RStudio.We also have more advanced topics for academic and scientific institutions working with Rstudio Server to exploit organizations’ full potential.

The vast majority of organizations currently try to rely on data and evidence to make better decisions and gain an advantage over their competitors. That is why it is becoming increasingly necessary for any professional to acquire basic skills in data analysis (data literacy).

The Statistical Analysis and r language course introduce statistics and the R tool’s use, a de facto standard in the market. The student works with theoretical models, practical cases and statistical tools, the processes of problem definition, data preparation, and exploration, and the main concepts of classical statistics, such as correlations, linear regressions, etc.

This course serves as a support for those professionals with non-technical profiles interested in taking the master’s degree in Business Intelligence and Big Data Analytics or one of its related programs and require a minimum knowledge of statistics and programming with the R tool.

This program has been designed and offered jointly by the Studies in Computer Science, Multimedia and Telecommunications and the Studies in Economics and Business.

Programming R is used for statistical inference, data analysis, and machine learning algorithm creation purposes.

 What do you learn in a r language course for statistics?

 In a course to program R for statistics conducted by a good university, the student can acquire the basic concepts of statistical inference to understand and calculate values and confidence intervals while analyzing the data with R.

 Teachers are concerned with providing R programming examples to help make the connection between concepts and implementation. This theoretical training will be complemented with practice, where:

 Visualization techniques are used to explore new data sets and determine the most appropriate approach.

 Robust statistical techniques are described as alternatives when the data do not fit the standard approaches’ assumptions.

 You learn the basics of conducting reproducible investigations by using R scripts to analyze data.

However, it must be borne in mind that not all students who arrive at a university to study how to program R and statistics have the same basic training. Precisely for this reason, the institution’s challenge is to divide the course into units that can be approached by all students, taking into account that the statistics and programming aspects will increase in difficulty relatively quickly as the classes progress.

Thus, from an introduction to programming R and lighter statistics, it will touch advanced statistical concepts, such as hierarchical models, leading to advanced software engineering topics such as parallel computing and reproducible research concepts.

Program R statistics: what does this training give me?

R is a programming language used primarily for statistical programming. It is one of the most popular languages for data science and machine learning problems.

This language is considered very easy to learn, even for profiles without previous programming experience.

In addition to this important advantage, there are many benefits to learning R:

Almost all data science jobs require the candidate to know how to program R and statistics.

Due to its simple function-based approach, most R’s activities can be completed in a couple of code lines, whereas in another language, such as C or Java, dozens of lines would be needed.

  • R incorporates several libraries that can be used by anyone to develop their code and solutions.
  • R can be connected to databases; it can be used to create front-end dashboards and talk to third-party applications and use microservices.
  • R is also available in the cloud. It is open source and free to use.

Programming R and learning computational statistics can open a new career path for your future. This is a skill in high demand these days in all sectors of the industry.

R is a powerful tool for data analysis and visualization that has become essential for the world of Big Data. Largely thanks to the fact that it has been developed by and for data analysts.

It is extremely efficient at storing and manipulating data. This language allows you to import data from various sources, clean them, and adapt them to subsequent graphic or statistical analysis needs.

In short, R is a modern platform for data analysis with a great future.

The program is focused on the real and practical uses of R in the company, and its philosophy is fundamentally practical. Therefore, we will invite you to work on data of your interest.

About the Course

R is a free statistical software that is becoming essential for data analysis. It allows efficient data management and offers many tools to facilitate data analysis in any field of work (health sciences, engineering, social sciences, exact sciences, etc.).

The course is aimed at all people who want to learn how to use R to analyze their data. We will start from scratch, and it is not necessary to have previous knowledge of programming or statistics. We have an expert teaching staff from different areas of knowledge. The course is online, but you will have the personalized support of our teachers so that you can learn R in the shortest possible time.

Introductory course on R syntax using RStudio

R is a free and open program that, more and more, is becoming the most widely used statistical package in the field of research and university education. However, it is also currently present in the commercial field. The fact that it does not have a menu-based environment causes it to present a slow learning curve. Still, once overcome, it is an excellent tool for statistical analysis, programming of functions, and the graphical representation of results.

The introductory course on R syntax using RStudio – MODUL I has been designed with a practical purpose to understand the R environment and make correct use of the statistical program. The necessary syntax will be provided so that the student can replicate it and explore and delve deeper into it once an initial mastery of the program is achieved. No special mention will be made of interpreting results since the main objective is to learn the basic instructions that allow working reliably in R. It is highly recommended that the assistant serve his own laptop.

Advanced R programming

The objective of the course is to expand the fundamentals of programming, to be able to know those more advanced aspects of a general-purpose programming language such as R.

It is an improvement course for those who know the fundamentals of programming but who wish to go deep into the knowledge of the R language, handle advanced data types such as pipes, vectors, and matrices, the presentation, and visualization of data, perform graphics with ggplot and programming algorithms among other subjects.

 Access to Course Delhi R

 Programming LanguageYou can access this Course R Programming Language. Registration and participation are completely free. After completing this course r programming certification,

What do you expect for your personal projects?

 If you want to continue your studies, we will show you these Free Programming Language R courses.

 Try the opportunity to open and save Course R Programming Language online. All courses can be opened and downloaded online at no additional cost.

Why take this program?

The digitization of business processes and economies, in general, relies on, to a significant extent, on information technology and programming. Also, to provide people who need information or demand it, the correct and indicated information at the right time, the programming and application of computer tools allow to “automate” data processing. In this context, R allows you to import, prepare, understand, visualize, and communicate findings from data.

This course is designed for inexperienced students in R and who intend to apply R to solve business administration problems. It provides skills in programming and R and invites the student:

  1. To think about the business from the data.
  2. Use a new language to speak and read (vectors, data frames, functions, objects, etc.).
  3. A new syntax for writing, register () summary (), print (), mutate (), plot (), etc. to analyze and present data.
  4. Introduces machine learning in R (“machine learning”).

According to the above, professionals who have knowledge and skills in R programming are needed to meet the needs of business and science.

At the end of the course, students will be hopeful and equipped with the necessary knowledge to carry out activities and small developments in R in order to better meet business requirements.

R is a programming language that allows users to program and at the same time, use libraries that contain functions to perform statistical calculations. The main objective of this programming language is to develop a more friendly way of statistical calculations such as graphs so that users can conclude the data to which these tools are applied.

Currently, this language is widely used because it is free software (it has a GPL license); any user can access the code written by other users and modify them freely. Therefore there is a constant growth in the number of packages to perform statistical calculations, thus giving ease of use to analyze, visualize, and manipulate data.

The only thing that remains invariant in the world is inconsistency, therefore, if we can master tools that help us shape uncertainty, it is an advantage when making correct decisions or leading us to scientifically more correct conclusions; statistics is undoubtedly the main scientific support to help us make decisions, as it focuses on probability theory. The R programming language facilitates the correct calculation of the most used statistical techniques. It is supported worldwide by the scientific community.

During this program, participants will be able to acquire basic knowledge and skills to enter the world of R programming. Starting with the history of said language and a detailed explanation of how to start working with it, then the fundamental objects will be explained with the ones that are worked on, and the main functions used to manipulate data, from how to extract them to export them and develop graphics with them, using the statistical tools that lead us to decision-making. Finally, it will explain how to develop functions using conditionals; this is of great importance as it will help us solve particular cases that may arise.

Statistical data analysis is a fundamental task in the digital transformation of companies. The availability of data, the amount of it, and the speed with which results are required is making it necessary to train technicians for data analysis with new tools.

New trends such as Big Data, Internet of Things (IoT), Data Science, or Industry 4.0 increase the interest of companies and professionals in these techniques.

Although some tasks can be performed effectively with spreadsheet programs such as Excel, statistical analysis of data requires advanced software.

In recent years, statistical software and R programming language have made their way between commercial statistical packages (SPSS or MINITAB, among others).

R is free software, but its free software is just one of its many advantages. This course covers the need for initial practical training in R software for data treatment and statistical analysis with the simplest and most common techniques: exploratory analysis and relationship between variables.

R in companies is growing exponentially due mainly to the need to analyze and visualize data with powerful tools to exploit its full potential. Large companies from all sectors have been using it for some time. However, the popularization of the software and its knowledge among new graduates make it easier for companies of all types and sizes to take advantage of this tool in their digital strategy. Thus, in addition to the effective visualization and presentation of data, well-trained teams can discover relationships between key variables, make predictions, make better decisions, or improve their processes thanks to advanced data analysis.

This course will provide you with the foundations of the statistical programming language R, statistics, which will allow you to write programs that read, manipulate, and analyze quantitative data. We will explain the language installation; You will also see an introduction to the base graphing systems and the graphing package to visualize this data.

objective

 At the end of the course r programming certification:

 You will use the R programming language to manipulate data, generate statistical analysis and graphic representation through the processing of quantitative data.

 Way of working

 This course seeks to introduce you to the statistical programming language R, a computational language designed for statistical analysis of data. This course is aimed at students and professionals interested in using this tool to read, manipulate, analyze, and graph data.

You will use a very popular IDE (Integrated Development Environment) to work with the R language, called RStudio, which has become the de-facto IDE for programming in R.

You will also find some bibliographic references to delve into the subject that is of interest to you.

 To complement the lessons, you will carry out practices with the language, which will value the evaluation.

R is a programming language designed for the interpretation and analysis of information from statistical modeling. In recent years and the context of Data Science, it is possible to use it also to apply Data Mining and Machine learning techniques.

For this reason, this software is of interest to academic and business communities that seek to take advantage of their data and do analytical intelligence, without the need to pay for specific licenses; or even more, when paying for them, they want to innovate with the application of new analysis techniques not included in programs such as SPSS, SAS, Statgraphics, etc.

 Therefore, this analytical programming course in R seeks to publicize the tool and its great application possibilities through the use of functions with contextualized examples to the business sector.

Objective

This course is intended to introduce the R language; R is currently the main program used in the area of statistics and is very well positioned in different disciplines associated with data science, analysis, and visualization. The course will have a great practical emphasis and provide tools for each student to face a set of real data, manage to process said data, analyze it, and present the result

Module 1

Examples of uses of R in different areas. Characteristics of R. Terminal of R and R Studio. R syntax (.R). Project work. Packages and features .Uses of aids and forums.

Module 2

Objects: vectors, matrices, data frames, and lists. Operators: arithmetic, relational, logical, special. Repetitive and conditional structures. Manipulation of objects

Importing and exporting files.

Module 3

Statistic analysis. Data visualization (graphs and maps). Reproducible reports.