R Programming basic for Data Science Training

Live Online & Classroom Enterprise Training

This course introduces you to R language fundamentals and covers common data structures, programming techniques, and how to manipulate data all with the help of the R programming language.

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What is R Programming basic for Data Science Training about?

This course emphasizes hands-on and practical learning. You will write a simple program using RStudio, manipulate data in a data frame or matrix, and complete a final project as a data analyst using Watson Studio and Jupyter notebooks to produce data-driven insights.

What are the objectives of R Programming basic for Data Science Training ?

Manipulate numeric and textual data types using the R programming language and RStudio or Jupyter Notebooks.

Define and manipulate R data structures, including vectors, factors, lists, and data frames.

Control program flow, define functions, perform character string and date operations, define regular expressions, and handle errors.

Read, write, and save data files and scrape web pages using R.

Who is R Programming basic for Data Science Training for?

Anyone who is interested in data science.

What are the prerequisites for R Programming basic for Data Science Training?

None

Available Training Modes

Live Online Training

10 Hours

Self-Paced Training

5 Hours

Course Outline Expand All

Expand All

Module 1 - R Basics

Module 2 - Common Data Structures

Module 3 - R Programming Fundamentals,

Module 4 - Working with Data

Who is the instructor for this training?

The trainer for this R Programming basic for Data Science Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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