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DevelopmentData Science

R Programming : Data Analysis and Visualisations using R

Learn how to use the R programming language for Data Analysis and Data visualization!(GGPlot2, Statistical, Packages)
Rating: 4.6 out of 54.6 (28 ratings)
6,017 students
Created by Chetan Pujari, Shrishti Singh
Last updated 3/2022
English
English [Auto]

What you'll learn

  • Master the use of the R and R Studio interactive environment
  • How to download R programming language and R Studio IDE
  • Getting familiar with the Console, Script, Environment, Help, and Plots panels.
  • Understanding different data types in R
  • How to create, manipulate and work with different data types like Vectors, Matrices, Lists, Arrays, and Data frames.
  • Installing and loading the Packages in the R environment.
  • Reading and writing various Data Files like CSV, Xls, XML, JSON, xlsx, txt.
  • Using various functions associated with the data frames and performing data manipulation on the data frames/files.
  • Performing data Transformation and data analysis on the data files and data frames.
  • Getting familiar with the packages: ggplot2, tidyverse, dplyr, plotly
  • How to load and work upon various datasets which are native to R.
  • Performing data visualization by creating various plots.
  • learn to draw plots in R studio: Pie Charts, Bar Charts, Box plots, Histograms, Line Graphs, Scatter Plots.
  • Learn how to draw some advanced plots like Density charts, Bubble plots, lollipop charts, 3D charts in R studio
  • How to perform Data Analysis and Visualization using R in R studio.
  • Install External Libraries to Power up R
  • Compute Basic Statistics about a Dataset
  • Develop your own Functions in R

Requirements

  • No prior knowledge of R or R Studio is required. You will learn all from the basics.

Description

This course will teach you R programming and how to program R in R Studio along with its usage for effective data analysis. You will be able to master the basics of R, including the lists, vectors, and data frames.

The course provides practical knowledge about programming in R, reading and writing data files into R, loading and installing the R packages, loading and working upon various datasets, data transformation techniques, creating and handling various data types, data analysis, and visualization by creating various kinds of plots. R is very actively used for statistical computing and designing. It is one of the most widely used languages in the data science sector.

Some of the big shot industries like Google, LinkedIn, and Facebook, rely on R for many of their operations. Many of the data-driven businesses and companies are using R programming as their core platform and are recruiting trained R programmers. It is a very powerful data visualization tool. So make sure you are up with the software trends.

This course was designed to be focused on the practical side of coding in R - instead of teaching you every function and method out there, I'll show you how you can read questions and examples and get to the answer by yourself, compounding your knowledge on the different R objects.

This course is truly step-by-step. In every new tutorial, we build on what had already been learned and move one extra step forward.

After every video, you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.

By end of this course, you will be able to solve Industry Data Science projects in R starting including model building, model diagnostics, and presenting actionable business insights

Who this course is for:

  • For the Beginners who want to learn the R programming language to perform data analysis and Visualization. It will be helpful for those who are curious about Data Science, as it is part of data science.
  • Data Analysts
  • Software Engineering Undergraduates
  • Data Scientists
  • Data Engineers
  • R learners
  • Statisticians
  • Researchers
  • If you want to learn R by doing
  • If you like exciting challenges

Instructors

Chetan Pujari
Web Developer/Designer, Software Developer, Content Creator
Chetan Pujari
  • 4.4 Instructor Rating
  • 904 Reviews
  • 79,081 Students
  • 5 Courses

Chetan is the instructor of some of the highest-rated Video editing and technical courses online.

Having been a self-taught video editor and programmer, he understands that there is an overwhelming number of online courses, tutorials, and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $1000+ to spend on video editing and programming institute. Any skills should be affordable and open to all. An education material should teach real-life skills that are current and they should not waste a student's valuable time.

He is now dedicating 100% of his time to teaching others valuable content creation and software development skills in order to take control of their life and work in an exciting industry with infinite possibilities.

Chetan promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way.

Taking his experience in educational psychology and skills, Chetan's courses will take you on an understanding of complex subjects that you never thought would be possible.

See you inside the courses!

Shrishti Singh
Data Science and Spatial Analytics
Shrishti Singh
  • 4.6 Instructor Rating
  • 28 Reviews
  • 6,017 Students
  • 1 Course

I'm Shrishti, I'm a Data scientists with a passion for teaching. I've helped thousands of students learn to code and change their lives by becoming a developer.

I spend most of my time researching how to make learning to code fun and make hard concepts easy to understand.

Over the course of her career she has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations.

One of the strongest sides of my teaching style is that I focus on intuitive explanations, so you can be sure that you will truly understand even the most complex topics.

See you inside the courses!

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