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Learn R Programming

R is one of the best programming languages for statistical computing and graphics supported by the R Core Team and R Foundation. R created by the 2 famous statisticians Ross Ihaka & Robert Gentleman. R is used among data miners and statisticians for data mining, data analysis, and the development of statistical software. 

This is a proven fact by researchers that R is one of the most used programming languages for data mining. Incoming it will be at high rank in the TIOBE index, a measure of programming language popularity.

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Instructor -Led Online & Physical Classes

Batch Start DateClass TypeUpcoming SlotsTimingsLocation
17th Sep 2022OnlineSold Out
SAT & SUN (5.5 WEEKS)
11:00 AM to 1:00 PMOnline
15th Oct 2022OnlineFilling Fast
SAT & SUN (4 WEEKS)
weekday batch
10:30 AM to 12:30 PMOnline
19th Nov 2022OnlineSAT & SUN (4 Weeks)
weekend batch
Evening SlotOnline

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INR 21,000/-
INR 16,000/- + 18% GST

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Course Content

For the curriculum, you will cover  in this course, click on the tab to check the detailed content

  • Introduction To R
  • Installation Setup
  • A quick guide to RStudio User Interface
  • RStudio’s GUI3
  • Changing the appearance in RStudio
  • Installing packages in R and using the library
  • Development Environment Overview
  • Introduction to R basics
  • Building blocks of R
  • Core programming principles
  • Fundamentals of R
  • Creating an object
  • Data types in R
  • Coercion rules in R
  • Functions and arguments
  • Conditional Statements and Loops
  • if else, for, while, repeat, break, next
  • Vectors and Vector operation
  • List and Operations
  • Factor and Operations
  • Matrices
  • Data Frame
  • Applications of R objects
  • Data Inputs and Outputs with R
  • Advanced Visualization
  • Using the script vs. using the console
  •  
  • Data transformation with R
  • Dplyr package
  • Sampling data with the Dplyr package
  • select, filter, arrange, rename
  • mutate, pipeline
  • group by, summarize
  •  
  • Intro To Data Visualization
  • Introduction To Ggplot2
  • Coloring, Filling Color, Axis, Legend, Labelling
  • Histogram, Density
  • Bar Chart, Point Plot
  • Box And Whiskers Plot, Outliers
  • Scatterplot
  • Pie Chart
  • 2 Assignments
  • 1 Projects
  • Dataset Analysis

Highlights

✔️ 15 Hours / 8 Sessions
✔️ Per Session for 2 Hours
✔️ Practice Hours

We have included real-life examples and case studies in our course. Complete written notes and code for you to read and refer

Projects for you to complete throughout the course. These provide a challenge and an opportunity for you to apply your learning.

In a set of the time period, you will be having access to getting support from our expert

After completing your course, we will provide you with a Course Completion Certificate

You will get 100% job assistance according to your CTC, Experience and Present skills

Need more details about the course, let’s connect with our experts

Most Frequent Questions and Answers

Anyone, who wants to become a data scientist, interested in statistics and data analysis

Of course, you can learn R programming without having any coding background. We start R learning from scratch so that we can build a strong fundamental of the application and at an advanced level you can grasp it easily. And obviously, you need a lot of practice to be a pro.

Though we have so many reasons to join us, let us highlight the main points:-

  1. After completing the course you will get 3 months of support time period extra to revise the sessions which are not cleared to you, any problem you are not able to solve that you can take our team’s help
  2. We provide video recordings if any of the reason you skip your session
  3. We have well-experienced trainers to teach our students
  4. Project-based training / unlimited examples to make you understand about the subject / Case Studies after every session / Job Support and many more

Yes, of course, you will be getting “Completion Certificate” 

  • Start at zero and become an expert whilst learning all about the inner workings of Python.
  • Learn how to write professional Python code like a professional Python developer.

  • Embrace simplicity and develop good programming habits.

  • Improve your Python code with formatters and linters

  • Extract information from existing websites using web scraping.

  • Learn to interact with REST APIs to fetch data from other web applications.

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!

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