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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 pro…

4.8  ·  Rated by learners Certificate of completion
Duration
25 Hours
Mode
Live + Recorded
Level
Beginner → Pro
Language
English / Hindi

Course overview

About the R Programming training program.

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.

Why learn with BISP

Trusted by professionals across 30+ countries.

Industry trainers

Certified consultants with 12+ years of real project experience.

Hands-on practice

Real-time scenarios & live project modules, not just slides.

Placement support

Resume building, mock interviews & job referrals.

Certification

BISP certificate + full guidance for official exams.

Course curriculum

Designed by real-time industry professionals around current job roles.

Download curriculum (PDF)
16 modules 71 topics
01 R Programming Training Course Content 9 topics
  • 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

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:

02 Prerequisites

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

03 Overview 4 topics
  • History of R
  • Advantages and disadvantages
  • Downloading and installing
  • How to find documentation
04 Introduction 10 topics
  • 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
05 Variable types and data structures 8 topics
  • Variables and assignment
  • Data types
  • Data structures
  • Indexing, subsetting
  • Assigning new values
  • Viewing data and summaries
  • Naming conventions
  • Objects
06 Getting data into the R environment 3 topics
  • Built-in data
  • Reading data from structured text files
  • Reading data using ODBC
07 Dataframe manipulation with deeply 9 topics
  • 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)
08 Handling dates in R 2 topics
  • Date and date-time classes in R
  • Formatting dates for modeling
09 Control flow 3 topics
  • Truth testing
  • Branching
  • Looping
10 Functions in depth 4 topics
  • Parameters
  • Return values
  • Variable scope
  • Exception handling
11 Applying functions across dimensions 1 topics
  • Supply, apply, apply
12 Exploratory data analysis (descriptive statistics) 4 topics
  • Continuous data
  • Categorical data
  • Group by calculations with deeply
  • Melting and casting data
13 Inferential statistics 3 topics
  • Bivariate correlation
  • T-test and non-parametric equivalents
  • Chi-squared test
14 Base graphics 4 topics
  • Base graphics system in R
  • Scatter plots, histograms, bar charts, box, and whiskers, dot plots
  • Labels, legends, titles, axes
  • Exporting graphics to different formats
15 Advanced R graphics: ggplot2 3 topics
  • Understanding the grammar of graphics
  • Quick plots (plot function)
  • Building graphics by pieces (plot function)
16 General linear regression 4 topics
  • Linear and logistic models
  • Regression Plots
  • Confounding / interaction in regression
  • Scoring new data from models (prediction)

Course details

Who it is for, what you need, and how it is delivered.

Who should learn R Programming training?

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

Prerequisites

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

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

Certificate of completion

Earn an industry-recognised BISP Trainings certificate when you finish the course.

BISP Trainings Certificate of Completion
  • Verifiable certificate with a unique ID
  • Shareable on LinkedIn & your resume
  • Recognised by our hiring partners

Frequently asked questions

Everything you need before you enroll.

Can I attend a demo session before enrollment?

Yes. You may attend a demo class before enrollment for training quality evaluation, and interact one-to-one with the trainer for any specific requirement.

Can you schedule training as per my availability?

Yes. We discuss it with the trainer and schedule the training at a convenient time for you.

What if I miss a class?

You get the recorded session. You may also retake the whole training multiple times within a 6-month period with the same trainer.

Is there live project training?

Yes. The curriculum includes real-time scenarios and live project modules, with the trainer explaining every topic end-to-end.

How can I pay for the course?

Enroll securely via the payment gateway on this page using card, UPI or net-banking. EMI options are available.

More queries?

Call us at +91 769-409-5404 & +1 678-701-4914, or write to support@bisptrainings.com.

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