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Understand key principles of R programming. Join today to learn from an R programming expert.
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4.5/5Course Duration
25 Hrs.Live Project
1 ProjectCertification Pass
GuaranteedTraining Format
Live Online /Self-Paced/ClassroomWatch Live Classes
Speciality
200+
Professionals Trained
3+
Batches every month
20+
Countries & Counting
100+
Corporate Served- Croma Campus is a leading R programming training institute that offers the best R programming training to students looking to get a secured job in an MNC and corporate giant.
- Our R Programming Training at Croma Campus is mainly aimed at becoming an expert in the R language. So, what are you waiting for Simply enrol for the best R Programming certification course and get a secured job without investing much.
R users grow by about 40%, and organizations are using it in their day-to-day activities.
Hiring companies include Google, Bing, Facebook, Uber, Twitter, and Ford.
Being used for purposes like cleaning the data, forecasting, creating mind-blowing visualizations.
R is a highly demanded data analytics skill among all.
Get hands-on R programming training and become a certified professional.
R Programming Training Program
- No matter whether you are a professional or a novice, our R Programming training course may help you learn all the skills required and let you implement them at work.
- So, what are you waiting for simply enrol for the best R Programming training course and learn all the skills to outperform others at the time of interview.
Master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames.
Learn to use R to clean, analyse, and visualize data.
Learn how to use GitHub to manage data science projects.
Perform regression analysis, least squares and inference using regression models.
Learn the most popular tool for data analytics.
- R programming is one of the fastest-growing languages and has undergone a successful span of more than 25 years as far as its adoption is concerned. This success also reveals a promising future scope of r programming language.
Glassdoor has ranked Data Science with a median base salary of $110000 and 4,524 job openings.
It is the fastest-growing tech employment area today.
Job profiles include Data Scientist, Analytics Manager, Database Administrator, Data Engineer, etc.
Your salary will increase as you gain knowledge and experience.
- Upon the completion of your R Programming training course, your career will grow like wildfire. With attractive salary packages and designation, your career will skyrocket and get ahead by standing tall above the rest.
You will get a better knowledge of programming and how to implement it.
Enhanced knowledge of the web development framework to develop dynamic websites swiftly.
Increased chances of working in leading software companies like Infosys, Wipro, Amazon, TCS, IBM and many more.
Learn how to design, develop, test, support and deploy desktop, custom web, and mobile applications.
Design and improve testing and maintenance activities and procedures.
- R ultimately established to be an inexpensive, Custom-Made, and inflatable statistical analysis solution. R has lots of packages/libraries that contain numerous helpful functions that you can employ for your use. R is considered as an abundance who are all getting into the analytics field.
Nearly 40% started a new career after completing this specialization.
Nearly 20% got a pay increase or promotion.
R has become the preferred computing environment for the statistical community.
The number of R users enlarges by 40%
- After the completion of your course, you will need to perform a multitude of job roles and responsibilities at work. Here are a few of them;
Development, automate and review technical architecture, requirements and statistical models.
Coordinate with end users for designing and implementation of analytics solutions as per the needs of the project.
Participate in team problem-solving efforts and offer ideas to solve client issues.
Design of experiments/data collection for statistical analysis.
Program code of qualitative variable and manipulation tasks with various statistical methodologies
Continually look for ways to improve the overall performance of systems.
- Our R Programming training course is suggested for all those novices and specialists who are keen on working in the analytics industry. 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.
There is always an adequate job opportunity for R programming.
Some of the top hiring industries in R programming include Infosys, Spectra, IBM, TCS, QA Infotech, and more.
R is suitable for all IT professionals like Big Data analytics, Business analytics, scientific research
There is also insufficiency in analytics for professionals with R programming skills.
- When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
Our certification is accredited worldwide.
Increases the value of your resume and you can attain leading job posts.
Get noticed by the potential recruiters, and get hired right away.
Our experts also support you by providing interview tips.
- You May Also Read:
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CURRICULUM & PROJECTS
R Programming Training Program
- 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.
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- History of R
- Advantages and disadvantages
- Downloading and installing
- How to find documentation
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- 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
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- 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
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- Built-in data
- Reading data from structured text files
- Reading data using ODBC
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- 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)
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- Date and date-time classes in R
- Formatting dates for modeling
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- 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
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- Finding and matching patterns in text
- Stringer package for text manipulation
- Introduction to regular expressions in R
- Categorical data wrangling with forcats
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- Truth testing
- Branching
- Looping
- Functions
- Parameters
- Return values
- Variable scope
- Exception handling
- Applying functions across dimensions
- Sapply, lapply, apply
- Programming with map and purr
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- Base graphics system in R
- Scatterplots, histograms, bar charts, box and whiskers, dot plots
- Labels, legends, titles, axes
- Exporting graphics to different formats
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- 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
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- Bivariate correlation
- T-test and non-parametric equivalents
- Chi-squared test
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- 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
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- 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
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Course Duration
25 Hrs.
Weekday1 Hr/Day
Weekend2 Hr/Day
Training ModeClassroom/Online
Flexible Batches For You
14-Jun-2025*
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16-Jun-2025*
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11-Jun-2025*
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- Mor | Aft | Eve - Slot
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14-Jun-2025*
- Weekend
- SAT - SUN
- Mor | Aft | Eve - Slot
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16-Jun-2025*
- Weekday
- MON - FRI
- Mor | Aft | Eve - Slot
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11-Jun-2025*
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- MON - FRI
- Mor | Aft | Eve - Slot
Course Price :
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20,000
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Mock Interviews
Prepare & Practice for real-life job interviews by joining the Mock Interviews drive at Croma Campus and learn to perform with confidence with our expert team.Not sure of Interview environments? Don’t worry, our team will familiarize you and help you in giving your best shot even under heavy pressures.Our Mock Interviews are conducted by trailblazing industry-experts having years of experience and they will surely help you to improve your chances of getting hired in real.
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