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R-Programming-training

R programming training builds proficiency in using R programming language for statistical computing and graphics. R, a language and environment, is gaining popularity in getting insight into complex data. The business analyst and other professionals dealing in a large amount of data can derive results using the ready-made functions available in R. R programming training course introduces the R environment and basic statistical analysis. It extends the learning curve by teaching techniques used for data manipulation and the overview of basic data structures. Statistical applications using R programming and exploration of data using box plots, histograms, correlation coefficients will also be illustrated.


Duration : 25 hours


Fee: 319


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Includes
  • 24 hours on-demand video
  • Articles
  • Coding Exercises
  • Full lifetime access
  • Certificate of Completion

Module of Training

LIVE ONLINE TRAINING


Live presentation of theory, demonstration of tool, features & tasks

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Get practice environment for practical & hands-on Training curriculum has been designed by real-time industry professionals & real-time scenarios training pattern

CORPORATE TRAINING


Learn as per day-wise & customized schedule with discussions & lab exercises included

One to one or Batch-wise interactive demonstration of a tool, features and 100% practical classes

World-class learning material & case studies for the course

Completely customizable course content & schedule as per convenience

Certification guidance provided if necessary

Curriculum

R Programming training Download  

R Programming  Training Course Content

R programming training builds proficiency in using R programming language for statistical computing and graphics. R, a language and environment, is gaining popularity in getting insight into complex data. The business analyst and other professionals dealing in a large amount of data can derive results using the ready-made functions available in R.

R programming training course introduces the R environment and basic statistical analysis. It extends the learning curve by teaching techniques used for data manipulation and the overview of basic data structures. Statistical applications using R programming and exploration of data using box plots, histograms, correlation coefficients will also be illustrated.

By the end of R programming classes, you will inculcate the following skillset:

  • The clear understanding of Statistical programming and R environment
  • In-depth knowledge of basic features, functions, operators available with R
  • Comprehensive information about programming statistical graphics
  • Ways of using simulation and numerical optimization
  • Extract data from R objects, perform reading and writing of Data and handle databases
  • Use subscription, character manipulation, and reshaping of data
  • Find probability, distributions, regression, and correlation
  • Significance of sample size and its calculation
  • Advance data handling techniques

Prerequisites

Programming background like C, C++, Python will be an added advantage but not mandatory to learn R, but introductory statistics is a prerequisite.

 Overview

  • History of R
  • Advantages and disadvantages
  • Downloading and installing
  • How to find documentation

 Introduction

  • Using the R console
  • Getting help
  • Learning about the environment
  • Writing and executing scripts
  • Object-oriented programming
  • Introduction to vectorized calculations
  • Introduction to data frames
  • Installing packages
  • Working directory
  • Saving your work

Variable types and data structures

  • Variables and assignment
  • Data types
  • Data structures
  • Indexing, subsetting
  • Assigning new values
  • Viewing data and summaries
  • Naming conventions
  • Objects

 Getting data into the R environment

  • Built-in data
  • Reading data from structured text files
  • Reading data using ODBC

 Dataframe manipulation with deeply

  • Renaming columns
  • Adding new columns
  • Binning data (continuous to categorical)
  • Combining categorical values
  • Transforming variables
  • Handling missing data
  • Long to wide and back
  • Merging datasets together
  • Stacking datasets together (concatenation)

 Handling dates in R

  • Date and date-time classes in R
  • Formatting dates for modeling

 Control flow

  • Truth testing
  • Branching
  • Looping

 Functions in depth

  • Parameters
  • Return values
  • Variable scope
  • Exception handling

 Applying functions across dimensions

  • Supply, apply, apply

 Exploratory data analysis (descriptive statistics)

  • Continuous data
  • Categorical data
  • Group by calculations with deeply
  • Melting and casting data

 Inferential statistics

  • Bivariate correlation
  • T-test and non-parametric equivalents
  • Chi-squared test

 Base graphics

  • Base graphics system in R
  • Scatter plots, histograms, bar charts, box, and whiskers, dot plots
  • Labels, legends, titles, axes
  • Exporting graphics to different formats

 Advanced R graphics: ggplot2

  • Understanding the grammar of graphics
  • Quick plots (plot function)
  • Building graphics by pieces (plot function)

 General linear regression

  • Linear and logistic models
  • Regression Plots
  • Confounding / interaction in regression
  • Scoring new data from models (prediction)

 Conclusion

Who should Learn R Programming training?

• Academicians • PhD scholars • Survey researcher • Statistical geneticist • Risk analyst • Consultants • Forecaster

Prerequisite to learn R Programming training

This certification training course does not presume or require any prior knowledge or prerequisites. However, basic knowledge of salesforce concepts be an added advantageous. We are recommending that students should have following: To be an administrative professional Should possess clear knowledge and grasp of salesforce concepts knowledge on SQL, HTML and JavaScript should be an added advantage

Delivery Methodology used to deliver the R Programming training

We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course.

Class delivery

Live Interactive classes with expert

R Programming training FAQ

Question: Can I attend the Demo session before enrollment?

Answer: Yes, you may attend the Demo class before enrollment for training Quality Evaluation. You can also Interact with a trainer as one to one session for a specific requirement or discussion

Question: Can you schedule the training based upon my availability?

Answer: Yes, we need to discuss it with a trainer, accordingly, we can schedule training at a convenient time.

Question: How I can pay for the course?

Answer: You can pay the fee or enroll yourself via payment gateway through the course page, make an online payment using various options.

Question: What if I missed any class?

Answer: BISP has a missing class policy. If you missed any session, we will be sharing a recorded session. However, you may retake whole training multiple times within 6 month period but the trainer is the same.

Question: Is there any live project training along with regular training?

Answer: Our training curriculum includes real-time scenarios and lives project working module & the trainer explains every topic with examples. If you have any issue or you are stuck in any scenario the trainer will explain end-to-end.

Question: What about certification preparation and guidance?

Answer: BISP technical faculty assist & guide you completely for certification and preparation. We ensure you will get certified easily after our training.

Question: Who is the trainer & about his experience?

Answer: All our trainers are working professionals and industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process which includes profile screening, technical evaluation, and a training demo We also ensure that only those trainers with a high alumni rating continue to train for us.

Question: Do you provide Job support?

Answer: Yes, we provide Job support services, but the cost structure is different and fixed. For more details: Just give us a call at: +91 769-409-5404 & +1 786-629-6893 You can also write to us: support@bisptrainings.com

Question: What if I have more queries and doubts?

Answer: Just give us call at : +91 769-409-5404 & +1 786-629-6893 You can also write to us: support@bisptrainings.com

Question: How Fee Refund Policy works?

Answer: Please refer the link for refund policy: https://www.bisptrainings.com/Refund-Policy

Case Study and Learning Pdf's

Certificate

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Benefits of Certificate

Certification demonstrates your dedication, motivation and technical knowledge on a specific platform. Having a certification shows that you not only possess comprehensive knowledge of that technology but you also care enough about your own career to spend the time and money to get the certification.

We are welcoming our Students or professionals to participate in our professional online courses. We are offering great variety of online training programs and professional courses that you can always find as desired. After the completion of training program they will receive a certificate from BISP. As a Certified professional you can apply that knowledge in your future profession and enjoy with better salaries & career prospects.

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