R for Data Science Training

Live Online & Classroom Enterprise Training

Learn how to use the R programming language for data science and machine learning and data visualization!

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What is R for Data Science Training about?

R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are full-time number cruncher or just the occasional data analyst, R will suit your needs.

This introduction to R programming course will help you master the basics of R. In seven sections, you will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R and create your stunning data visualisations. You don't need any prior knowledge of programming or data science.

What are the objectives of R for Data Science Training ?

Introductory R language fundamentals and basic syntax
What R is and how it's used to perform data analysis
Become familiar with the major R data structures
Create your visualisations using R

Who is R for Data Science Training for?

This course is for you if you want to learn how to program in R
This course is for you if you are tired of R courses that are too complicated
This course is for you if you want to learn R by doing
This course is for you if you like exciting challenges

What are the prerequisites for R for Data Science Training?

None

Available Training Modes

Live Online Training

4 Hours

Self-Paced Training

4 Hours

Course Outline Expand All

Expand All

Module 1. Basics

 R: The actual basics

 Basic data types

 Further Readings

 Module Discussion

 Module Assignment

 Module 2. Vectors

 Create and name vectors

 Vector Arithmetic

 Vector Subsetting

 Further Readings

 Module Discussion

 Module Assignment

 Module 3. Matrices

 Create and name matrices

 Matrix subsetting

 Matrix Arithmetic

 Further Readings

 Module Discussion

 Module Assignment

 Module 4. Factors

 Factors

 Further Readings

 Module Discussion

 Module Assignment

 Module 5. Lists

 Create and name lists

 Subset and extend lists

 Further Readings

 Module Discussion

 Module Assignment

 Module 6. Data frames

 Explore the data frame

 Subset, extend and sort your data frame

 Further Readings

 Module Discussion

 Module Assignment

 Module 7. Graphics

 Basic graphics

 Customizing your plots

 Multiple plots

 Further Readings

 Module Discussion

 Module Assignment

 Capstone Project

 Course Wrap-up

Who is the instructor for this training?

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

Reviews

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