Course Design By
Nasscom & Wipro
Home /Data Analytics & BI/ R Programming Online Training In India
Understand key principles of R programming. Join today to learn from an R programming expert.
In collaboration with
25 Hrs.
Duration
Online/Offline
Format
LMS
Life Time Access
we train you to get hired.
Learn to clean, analyze, and visualize data.
Procure enough skill to navigate the entire data science pipeline from data acquisition to publication.
Learn to manage data science projects, using GitHub.
The R programming online training in India ensures you master all the R basics to advance programming in R.
Learn to use regression models to perform regression analysis, least squares, and inference.
The R programming online training in India is developed to offer its learners hybrid learning guided practice & Weekly Practice quiz questions on the app along with the classroom/online sessions.
Strengthen your web development framework and get to know developing dynamic websites using this framework.
After the R programming online training in India completion, you will be literate enough to design, develop, test, support, and deploy desktop, custom web, and mobile applications.
Also, get sufficient ideas to design and improve testing and maintenance activities and procedures.
Learn important applications like design, implement and develop in an R programming environment.
With R programming online training in India, get a chance to work in leading IT companies such as Infosys, Wipro, Amazon, TCS, IBM, and many more.
After completing the specialization, 38% started a new career.
After the successful completion of the R Programming Online Course, 19% got a promotion or a pay hike.
To design and implement analytic solutions, you need to be in synergy with end-users as per project proposals.
You must be able to acknowledge opportunities in order to work efficiently and instill innovative approaches to complete the work.
You should be an active participant in teamwork to solve problems and offer ideas to solve client issues as well after pursuing R Programming online course.
You must have the hands-on expertise to design experiments/data collection for statistical analysis.
You need to acknowledge the fact that you will be responsible for quantitative analysis of structured, semi-structured, and unstructured data working in small teams to develop, test, and harden advanced analytical models as required.
With our R programming online training in India, learn to program code of qualitative variable and manipulation tasks with various statistical methodologies
You must know to improve the overall performance of systems.
we train you to get hired.
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This course is suggested for all those novices and specialists who are keen on working in the analytics industry. R is suitable for all IT professionals like Big data analytics, Business analytics, scientific research, statistical reporting, Econometrics, social science, business intelligence, and business development. Researchers who perform data analysis with higher dimensional graphs. Students who need R for their courses. Prerequisite It is not necessary to have any prior knowledge of R. R is now well thought out to be not just the most popular open-source analytic tool but the most popular analytics tool in the world
In this program you will learn:
Overview:
R Programming Basics:
Variable types and data structures in base R:
Getting data into the R environment:
Data frame manipulation:
Handling dates in R:
Exploratory Data Analysis (Descriptive Statistics):
Working with text data:
Control flow & functions:
Graphics in R Overview:
Advanced R graphics:
Inferential Statistics:
General Linear Regression Models in R:
Placement Guide:
History of R
Advantages and disadvantages
Downloading and installing
How to find documentation
Using the R console and R Studio
Getting help
Learning about the environment
Writing and executing scripts
Object oriented programming
Introduction to vectorised calculations
Introduction to data frames
Installing and loading packages
Working directory
Saving your work
Variables and assignment
Data types
Numeric, character, Boolean, and factors
Data structures
Vectors, matrices, arrays, data frames, lists
Indexing, sub-setting
Assigning new values
Viewing data and summaries
Naming conventions
Objects
Built-in data
Reading data from structured text files
Reading data using ODBC
Introduction to tables, enhanced data frames
Renaming columns
Adding new columns
Binning data (continuous to categorical)
Combining categorical values
Transforming variables
Handling missing data
Merging datasets together
Stacking datasets together (concatenation)
Date and date-time classes in R
Formatting dates for modeling
Continuous data
Distributions
Quantiles, mean
Bi-modal distributions
Histograms, box-plots
Categorical data
Tables
Bar plots
Group by calculations
Split-apply-combine
Reshaping and pivoting data in R (long to wide with aggregation)
Melt and cast
Finding and matching patterns in text
Stringer package for text manipulation
Introduction to regular expressions in R
Categorical data wrangling with forcats
Truth testing
Branching
Looping
Functions
Parameters
Return values
Variable scope
Exception handling
Applying functions across dimensions
Sapply, lapply, apply
Programming with map and purr
Base graphics system in R
Scatterplots, histograms, bar charts, box and whiskers, dot plots
Labels, legends, titles, axes
Exporting graphics to different formats
Understanding the grammar of graphics
Quick plots (qplot function)
Building graphics by pieces (ggplot function)
Understanding geoms (geometries)
Linking chart elements to variable values
Controlling legends and axes
Exporting graphics
Bivariate correlation
T-test and non-parametric equivalents
Chi-squared test
Understanding formulas
Linear and logistic regression models
Regression plots
Confounding / interaction in regression
Evaluating residuals
Scoring new data from models (prediction)
Useful plots from regression models
Tips to clear an Interview
Common Interview questions and answers
R programming Interview Questions and Answers
Resume Building Guide
Attempt for the related Global Certification Exam
Earn Credentials and Start applying for Jobs
+ More Lessons
Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
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You will get certificate after
completion of program
You will get certificate after
completion of program
You will get certificate after
completion of program
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Croma Campus is one of the excellent R Programming Online Training Institute in India that offers hands-on practical knowledge, practical implementation on live projects and will ensure the job with the help of R Programming Online course, Croma Campus provides R Programming Online Training by industrial experts, they have 8+ years working experience in top organization.
Croma Campus associated with top organizations like HCL, Wipro, Dell, BirlaSoft, Tech Mahindra, TCS, IBM, etc. make us capable to place our students in top MNCs across the globe. Our training curriculum is approved by our placement partners.
Croma Campus in India mentored more than 3000+ candidates with R Programming Online Certification Training in India at a very reasonable fee. The course curriculum is customized as per the requirement of candidates/corporates. You will get study material in the form of E-Books, Online Videos, Certification Handbooks, Certification and 500 Interview Questions along with Project Source material.
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