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R Programming 2021: Hands on R Programming for Beginners
Learn R Programming and R Studio. Data Analytics. Data Science. Data Visualization. Packages: GGPlot2, Dplyr, StringR
Created by Prashanth Chidambaram, offered on Udemy
To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 3490 students which left 30 reviews at an average rating of 4.3, which is average.
We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 2 hours 47 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.
This course currently has a bestcourses score of 5.6/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.
R Programming 2021: Learn Basics of R Programming and gain one of employer's most requested skills in 2021!
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
What you will learn
- 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
- High School Level Math