R-Programming Training 2018-02-13T03:17:44+00:00

R-Programming Training

By Our Industry Expert

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Course Type: OnlineClassroom

R-Programming Training by Sathya Technologies lets you build the applications for data analytics and gain skills in programming by expressing concepts in fewer lines of code. Python supports a number of coding methodologies, including object-oriented programming and structured programming, it can be used to develop for a variety of uses including the Web and other applications that need a programmable interface.

Why This Course?

  • Avg. Salary for R-Programming $102,852 PA.
  • Devops has a market share of about 10%
  • Used by top industries across various business Verticals. Ex: Bloomberg, Kargo, Adaptive Management..etc

Upcoming Batches

06
JAN
Saturday
7:00 AM IST
06
JAN
Saturday
7:00 AM IST
06
JAN
Saturday
7:00 AM IST
06
JAN
Saturday
7:00 AM IST

About Course

Developed for performing Statistical analysis and Graphical representation of information and Report, R Programming is a very well defined programming language.

It provides graphical representation of analyzed data and has an integrated collection of tools for data handling, which is why it’s the most used statistical programming language.

AT Sathya technologies we provide an in-depth understanding of R Programming. Writing user defined functions and packages. We provide detailed explanation of how to integrate R with other tools like R Programming and Phyton.

Course Objective

  • To learn key features of R Programming.
  • ‘Understand the R environment in detail.
  • Working with vectors and matrices.
  • To work on data handling concepts.
  • Working on integrating with other tools.

How the program will be conducted

Sathya Technologies with its start-of- art class rooms and Lab infrastructure at Ameerpet Hyderabad offer the best and most conducive learning environment, with a team of highly skilled trainers having years of industry experience.  Classroom trainings will be conducted on a daily basis. Practical exercises are provided for the topics conducted on daily basis to be worked upon during the lab session.  Online session conducted through the virtual classroom also have the same program flow with theory and practical sessions.  Our Labs can be accessed online from across the world allowing our online training student to make the best use of the infrastructure from the comfort of their home.

Career Opportunities in R Programming

With the popularity of Business intelligence increasing exponentially, opportunities as R Programming developer/consultants/architects has been growing in all major industry sectors .etc.  Training programs on R Programming technology by Sathya Technologies focuses on empowering the students with the latest concepts and industry specific topics.  Our well experienced trainer and well planned course materials ensures for 100% success in interviews.

Who can learn?

Targeted Audience

  • Software Developers
  • Statisticians
  • College / Fresher’s
  • Data Miners
  • Statistics Professionals

Prerequisite to learn the course

Experience in Statistics will help in learning R Programming easy. Understanding graphical techniques for data representation would be added advantage. Basic programming concepts will come in handy.

R-Programming Course Syllabus

Duration: 40 Hours

  • R as a language
  • Working with data in R
  • The R ecosystem
  • Why use R?
  • Getting started
  • Installation and setup
  • Packages
  • Data types
  • Character
  • Factor
  • Integer
  • Float
  • Date and time
  • Data structures
  • Float
  • Vectors
  • Matrices
  • Lists
  • Data frames
  • Data handling
  • Importing data from multiple sources/formats like .csv, .txt, .xlsx, SAS and SPSS files
  • Exporting data to multiple formats
  • Handling data frames: filtering, sorting, merging
  • PLYR package for easy data manipulation
  • Functions
  • Commonly used built-in functions
  • Writing user defined functions
  • Installing packages
  • Looping functions
  • The “apply” family of functions
  • Basic visualization
  • Basic statistics in R
  • Distributions
  • Testing
  • Modeling
  • Graphics in R
  • Graphics for exploratory data analysis
  • Standard graphic displays
  • The R environment
  • R in the cloud
  • Statistical analysis with R
  • Linear models
  • Generalized linear models
  • Advanced statistical modeling with R
  • Density estimation
  • Survival analysis
  • Classification
  • Clustering
  • Introduction to Writing R Packages
  • Integrating with other tools.
  • Tableau
  • Python
  • CPP
  • Real-time problems.
  • Data manipulation with data.table package.
  • Interview questions.

Certification

Sathya technologies offer certification programs for R Programming technology.  Certificates are issued on successful completion of the course and the assessment examination.  Students are requested to participate in the real-time project program to get first-hand experience on the usage and application of the R Programming technology.  The real-time projects are designed by our team of industry experts to help students get best possible exposure to the R Programming technology and its applications.

FAQS

In the event of missing out of attending any session the student can

  • Attend the same in another batch for classroom training or online training
  • Get access to the recording for the missed session

With over 2 decades of experience in training and consulting Sathya technologies have a large client base and we constantly get requirements for providing good resources. On successful completion of the course and completion of real-time project, students are requested to submit the updated profile with Sathya Technologies. Our placement team will notify the students as and when suitable opportunities are available.

Free demo sessions are conducted before the start of every batch which allows the students to get a firsthand interaction with the trainer.These demo session also help the student to understand the training methodology followed by Sathya Technologies and also help visit and review the classroom and lab infrastructure and facilities.

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