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R Programming 2023: Hands on R Programming for Beginners

Learn R Programming and R Studio. Data Analytics. Data Science. Data Visualization. Packages: GGPlot2, Dplyr, StringR
Free tutorial
Rating: 4.4 out of 5 (88 ratings)
5,930 students
1hr 53min of on-demand video
English
English [Auto]

Basics of R Programming
Learn to work with R and R Studio IDE
Build algorithms using logical and conditional operators as well as loop statements
Analyze large data-sets, and reproduce results in R/Excel
Thoroughly understand data structures in R and apply them as appropriate
Good working knowledge of stringr and dplyr packages
Understand basics of Data Science

Requirements

  • High School Level Math

Description

R Programming 2023: Learn Basics of R Programming and gain one of employer's most requested skills in 2023!

Data Science is all about using data to solve some of society's most pressing problems. Harvard Business Review touted Data Science as the sexiest job of the 21st century, and no wonder Data Science is considered the future! with zettabytes and yottabytes of structured and unstructured data floating everyday, it calls for very unique skillsets to uncover hidden patterns and generate valuable insights from data.

This course covers the basics of R/ R Studio Programming and several practical exercises relating to data science such as data analysis, building algorithms, generating insights and data visualization.

R Programming is often associated with having a very steep learning curve and many students give up feeling overwhelmed by the language. The 'R for Beginners' course follows a step by step approach, combining conceptual learning with hands-on assignments, quizzes and real world projects.

Moreover, we would learning R Programming, with R Studio an IDE for R Programming, with a console, syntax editor for executing R Programming code and debugging, as well as advanced tools for data visualization such as plots and maps.

At the end of this R/R Studio Programming course, you would be able to understand and apply basics of R/R Studio programming, analyze large data sets, export your findings onto excel, visualize data and even build your own algorithms!

Who is this course aimed at

- Beginners who have no coding background in R Programming or otherwise

- Aspiring as well as professional data analysts, statisticians and programmers who want to pick up skills in R Programming

Who this course is for:

  • This course is for everyone, right from college students using R for a project to statisticians, programmers from other platforms, or pure beginners without any prior programming experience who want to become data analysts or data scientists

Instructor

Data Scientist | Supply Chain Analytics | Educator
Prashanth Chidambaram
  • 4.4 Instructor Rating
  • 352 Reviews
  • 13,233 Students
  • 6 Courses

Prashanth Chidambaram has a Bachelors in Chemical Engineering , MBA in Finance and Operations as well as an Associate's Degree in Piano.

Currently he works as a supply chain analyst and has worked on projects spanning network design and optimization, inventory planning, demand forecasting and has helped clients accelerate their digital journey.

As an educator, he runs an education services firm that provides music lessons to K-12 as well as pre-school students.

Feel free to contact him for more information on online classes, guidance, as well as for new courses.

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